The document describes a hybrid fuzzy-opposition based differential evolution algorithm for capacitor placement and distribution system reconfiguration to minimize transmission losses and costs. The algorithm considers constraints like voltage limits and current limits while optimizing the objective function of total annual cost, which includes energy loss costs and capacitor costs. It was tested on the IEEE 33-bus distribution test system and able to reduce losses and satisfy power flow constraints.
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...IJERA Editor
This Paper is an attempt to develop the expansion-planning algorithm using meta heuristics algorithms. Expansion Planning is always needed as the power demand is increasing every now and then. Thus for a better expansion planning the meta heuristic methods are needed. The cost efficient Expansion planning is desired in the proposed work. Recently distributed generation is widely researched to implement in future energy needs as it is pollution free and capability of installing it in rural places. In this paper, optimal distributed generation expansion planning with Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) for identifying the location, size and type of distributed generator for future demand is predicted with lowest cost as the constraints. Here the objective function is to minimize the total cost including installation and operating cost of the renewable DGs. MATLAB based `simulation using M-file program is used for the implementation and Indian distribution system is used for testing the results.
This paper presents the implementation of multiple distributed generations planning in distribution system using computational intelligence technique. A pre-developed computational intelligence optimization technique named as Embedded Meta EP-Firefly Algorithm (EMEFA) was utilized to determine distribution loss and penetration level for the purpose of distributed generation (DG) installation. In this study, the Artificial Neural Network (ANN) was used in order to solve the complexity of the multiple DG concepts. EMEFA-ANN was developed to optimize the weight of the ANN to minimize the mean squared error. The proposed method was validated on IEEE 69 Bus distribution system with several load variations scenario. The case study was conducted based on the multiple unit of DG in distribution system by considering the DGs are modeled as type I which is capable of injecting real power. Results obtained from the study could be utilized by the utility and energy commission for loss reduction scheme in distribution system.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind...IJECEIAES
The issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm-based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm. The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search-based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures.
Optimal distributed generation in green building assessment towards line loss...journalBEEI
This paper presents an optimization approach for criteria setting of Renewable Distributed Generation (DG) in the Green Building Rating System (GBRS). In this study, the total line loss reduction is analyzed and set as the main objective function in the optimization process which then a reassessment of existing criteria setting for renewable energy (RE) is proposed towards lower loss outcome. Solar photovoltaic (PV)-type DG unit (PV-DG) is identified as the type of DG used in this paper. The proposed PV-DG optimization will improve the sustainable energy performance of the green building by total line losses reduction within accepted lower losses region using Artificial bee colony (ABC) algorithm. The distribution network uses bus and line data setup from selected one of each three levels of Malaysian public hospital. MATLAB simulation result shows that the PV-DG expanding capacity towards optimal scale and location provides a better outcome in minimizing total line losses within an appropriate voltage profile as compared to the current setting of PV-DG imposed in selected GBRS. Thus, reassessment of RE parameter setting and the proposed five rankings with new PV-DG setting for public hospital provides technical justification and give the best option to the green building developer for more
effective RE integration.
Performance based Comparison of Wind and Solar Distributed Generators using E...Editor IJLRES
Distributed Generation (DG) technologies have become more and more important in power systems. The objective of the paper is to optimize the distributed energy resource type and size based on uncertainties in the distribution network. The three things are considered in stand point of uncertainties are listed as, (i) Future load growth, (ii) Variation in the solar radiation, (iii) Wind output variation. The challenge in Optimal DG Placement (ODGP) needs to be solved with optimization problem with many objectives and constraints. The ODGP is going to be done here, by using Non-dominated Sorting Genetic Algorithm II (NSGA II). NSGA II is one among the available multi objective optimization algorithms with reduced computational complexity (O=MN2). Because of this prominent feature of NSGA II, it is widely applicable in all the multi objective optimization problems irrespective of disciplines. Hence it is selected to be employed here in order to obtain the reduced cost associated with the DG units. The proposed NSGA II is going to be applied on the IEEE 33-bus and the different performance characteristics were compared for both wind and solar type DG units.
This paper analyses the optimal power system planning with DGs used as real and reactive power compensator. Recently planning of DG placement reactive power compensation are the major problems in distribution system. As the requirement in the power is more the DG placement becomes important. When planned to make the DG placement, cost analysis becomes as a major concern. And if the DGs operate as reactive power compensator it is most helpful in power quality maintenance. So, this paper deals with the optimal power system planning with renewable DGs which can be used as a reactive power compensators. The problem is formulated and solved using popular meta-heuristic techniques called cuckoo search algorithm (CSA) and particle swarm optimization (PSO). the comparative results are presented.
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...IJERA Editor
This Paper is an attempt to develop the expansion-planning algorithm using meta heuristics algorithms. Expansion Planning is always needed as the power demand is increasing every now and then. Thus for a better expansion planning the meta heuristic methods are needed. The cost efficient Expansion planning is desired in the proposed work. Recently distributed generation is widely researched to implement in future energy needs as it is pollution free and capability of installing it in rural places. In this paper, optimal distributed generation expansion planning with Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) for identifying the location, size and type of distributed generator for future demand is predicted with lowest cost as the constraints. Here the objective function is to minimize the total cost including installation and operating cost of the renewable DGs. MATLAB based `simulation using M-file program is used for the implementation and Indian distribution system is used for testing the results.
This paper presents the implementation of multiple distributed generations planning in distribution system using computational intelligence technique. A pre-developed computational intelligence optimization technique named as Embedded Meta EP-Firefly Algorithm (EMEFA) was utilized to determine distribution loss and penetration level for the purpose of distributed generation (DG) installation. In this study, the Artificial Neural Network (ANN) was used in order to solve the complexity of the multiple DG concepts. EMEFA-ANN was developed to optimize the weight of the ANN to minimize the mean squared error. The proposed method was validated on IEEE 69 Bus distribution system with several load variations scenario. The case study was conducted based on the multiple unit of DG in distribution system by considering the DGs are modeled as type I which is capable of injecting real power. Results obtained from the study could be utilized by the utility and energy commission for loss reduction scheme in distribution system.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind...IJECEIAES
The issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm-based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm. The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search-based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures.
Optimal distributed generation in green building assessment towards line loss...journalBEEI
This paper presents an optimization approach for criteria setting of Renewable Distributed Generation (DG) in the Green Building Rating System (GBRS). In this study, the total line loss reduction is analyzed and set as the main objective function in the optimization process which then a reassessment of existing criteria setting for renewable energy (RE) is proposed towards lower loss outcome. Solar photovoltaic (PV)-type DG unit (PV-DG) is identified as the type of DG used in this paper. The proposed PV-DG optimization will improve the sustainable energy performance of the green building by total line losses reduction within accepted lower losses region using Artificial bee colony (ABC) algorithm. The distribution network uses bus and line data setup from selected one of each three levels of Malaysian public hospital. MATLAB simulation result shows that the PV-DG expanding capacity towards optimal scale and location provides a better outcome in minimizing total line losses within an appropriate voltage profile as compared to the current setting of PV-DG imposed in selected GBRS. Thus, reassessment of RE parameter setting and the proposed five rankings with new PV-DG setting for public hospital provides technical justification and give the best option to the green building developer for more
effective RE integration.
Performance based Comparison of Wind and Solar Distributed Generators using E...Editor IJLRES
Distributed Generation (DG) technologies have become more and more important in power systems. The objective of the paper is to optimize the distributed energy resource type and size based on uncertainties in the distribution network. The three things are considered in stand point of uncertainties are listed as, (i) Future load growth, (ii) Variation in the solar radiation, (iii) Wind output variation. The challenge in Optimal DG Placement (ODGP) needs to be solved with optimization problem with many objectives and constraints. The ODGP is going to be done here, by using Non-dominated Sorting Genetic Algorithm II (NSGA II). NSGA II is one among the available multi objective optimization algorithms with reduced computational complexity (O=MN2). Because of this prominent feature of NSGA II, it is widely applicable in all the multi objective optimization problems irrespective of disciplines. Hence it is selected to be employed here in order to obtain the reduced cost associated with the DG units. The proposed NSGA II is going to be applied on the IEEE 33-bus and the different performance characteristics were compared for both wind and solar type DG units.
This paper analyses the optimal power system planning with DGs used as real and reactive power compensator. Recently planning of DG placement reactive power compensation are the major problems in distribution system. As the requirement in the power is more the DG placement becomes important. When planned to make the DG placement, cost analysis becomes as a major concern. And if the DGs operate as reactive power compensator it is most helpful in power quality maintenance. So, this paper deals with the optimal power system planning with renewable DGs which can be used as a reactive power compensators. The problem is formulated and solved using popular meta-heuristic techniques called cuckoo search algorithm (CSA) and particle swarm optimization (PSO). the comparative results are presented.
Economic/Emission Load Dispatch Using Artificial Bee Colony AlgorithmIDES Editor
This paper presents an application of the
artificial bee colony (ABC) algorithm to multi-objective
optimization problems in power system. A new multiobjective
artificial bee colony (MOABC) algorithm to
solve the economic/ emission dispatch (EED) problem is
proposed in this paper. Non-dominated sorting is
employed to obtain a Pareto optimal set. Moreover, fuzzy
decision theory is employed to extract the best
compromise solution. A numerical result for IEEE 30-bus
test system is presented to demonstrate the capability of
the proposed approach to generate well-distributed
Pareto-optimal solutions of EED problem in one single
run. In addition, the EED problem is also solved using the
weighted sum method using ABC. Results obtained with
the proposed approach are compared with other
techniques available in the literature. Results obtained
show that the proposed MOABC has a great potential in
handling multi-objective optimization problem.
Multi Objective Directed Bee Colony Optimization for Economic Load Dispatch W...IJECEIAES
Earlier economic emission dispatch methods for optimizing emission level comprising carbon monoxide, nitrous oxide and sulpher dioxide in thermal generation, made use of soft computing techniques like fuzzy,neural network,evolutionary programming,differential evolution and particle swarm optimization etc..The above methods incurred comparatively more transmission loss.So looking into the nonlinear load behavior of unbalanced systems following differential load pattern prevalent in tropical countries like India,Pakistan and Bangladesh etc.,the erratic variation of enhanced power demand is of immense importance which is included in this paper vide multi objective directed bee colony optimization with enhanced power demand to optimize transmission losses to a desired level.In the current dissertation making use of multi objective directed bee colony optimization with enhanced power demand technique the emission level versus cost of generation has been displayed vide figure-3 & figure-4 and this result has been compared with other dispatch methods using valve point loading(VPL) and multi objective directed bee colony optimization with & without transmission loss.
Capacitor Placement Using Bat Algorithm for Maximum Annual Savings in Radial ...IJERA Editor
This paper presents a two stage approach that determines the optimal location and size of capacitors on radial distribution systems to improve voltage profile and to reduce the active power loss. In first stage, the capacitor locations can be found by using loss sensitivity method. Bat algorithm is used for finding the optimal capacitor sizes in radial distribution systems. The sizes of the capacitors corresponding to maximum annual savings are determined by considering the cost of the capacitors. The proposed method is tested on 15-bus, 33 bus, 34-bus, 69-bus and 85-bus test systems and the results are presented.
Power losses reduction of power transmission network using optimal location o...IJECEIAES
Due to the growth of demand for electric power, electric power loss reduction takes great attention for the power utility. In this paper, a low-level generation or distributed generation (DG) has been used for transmission power losses reduction. Karbala city transmission network (which is the case study) has been represented by using MATLAB m-file to study the load flow and the power loss for it. The paper proposed the particle swarm optimization (PSO) technique in order to find the optimal number and allocation of DG with the objective to decrease power losses as possible. The results show the effect of the optimal allocation of DG on power loss reduction.
Islanded microgrid congestion control by load prioritization and shedding usi...IJECEIAES
The continued growth in load demand and the gradual change of generation sources to smaller distributed plants utilizing renewable energy sources (RESs), which supply power intermittently, is likely to strain existing power systems and cause congestion. Congestion management still remains a challenging issue in open access transmission and distribution systems. Conventionally, this is achieved by load shedding and generator rescheduling. In this study, the control of the system congestion on an islanded micro grid (MG) supplied by RESs is analyzed using artificial bee colony (ABC) algorithm. Different buses are assigned priority indices which forms the basis of the determination of which loads and what amount of load to shed at any particular time during islanding mode operation. This is to ensure as minimal load as possible is shed during a contingency that leads to loss of mains and ensure a congestion free microgrid operation. This is tested and verified on a modified IEEE 30-bus distribution systems on MATLAB platform. The results are compared with other algorithms to prove the applicability of this approach.
NOVEL PSO STRATEGY FOR TRANSMISSION CONGESTION MANAGEMENTelelijjournal
In post deregulated era of power system load characteristics become more erratic. Unplanned transactions
of electrical power through transmission lines of particular path may occur due to low cost offered by
generating companies. As a consequence those lines driven close to their operating limits and becomes
congested as the lines are originally designed for traditional vertically integrated structure of power
system. This congestion in transmission lines is unpredictable with deterministic load flow strategy.
Rescheduling active and reactive power output of generators is the promising way to manage congestion.
In this paper Particle Swarm Optimization (PSO) with varying inertia weight strategy, with two variants
e1-PSO and e-2 PSO is applied for optimal solution of active and reactive power rescheduling for
managing congestion. The generators sensitivity technique is opted for identifying participating generators
for managing congestion. Proposed algorithm is tested on IEEE 30 bus system. Comparison is made
between results obtained from proposed techniques to that of results reported in previous literature.
In this paper a load flow based method using MATLAB Software is used to determine the optimum location and optimum size of DG in a 43-bus distribution system for voltage profile improvement and loss reduction. This paper proposes analytical expressions for finding optimal size of three types of distributed generation (DG) units. DG units are sized to achieve the highest loss reduction in distribution networks. Single DG installation case was studied and compared to a case without DG, and 43-bus distribution system is used to demonstrate the effectiveness of the proposed method. The proposed analytical expressions are based on an improvement to the method that was limited to DG type, which is capable of injecting real power only, DG capable of injecting reactive power only and DG capable of injecting both real and reactive power can also be identified with their optimal size and location using the proposed method. This paper has been analysed with varying DG size and complexity and validated using analytical method for Summer case and Winter case in 43-bus distribution system in Myanmar.
Keywords- analytical method,distributed generation,power loss reduction,voltage profile improvement.
Cost Allocation of Reactive Power Using Matrix Methodology in Transmission Ne...IJAAS Team
In the deregulated market environment as generation, transmission and distribution are separate entities; reactive power flow in transmission lines is a question of great importance. Due to inductive load characteristic, reactive power is inherently flowing in transmission line. Hence under restructured market this reactive power allocation is necessary. In this work authors presents a power flow tracing based allocation method for reactive power to loads. MVAr-mile method is used for allocation of reactive power cost. A sample 6 bus and IEEE 14 bus system is used for showing the feasibility of developed method.
Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat A...IDES Editor
This paper proposes application of BAT algorithm
for solving economic load dispatch problem. BAT
algorithmic rule is predicated on the localization
characteristics of micro bats. The proposed approach has
been examined and tested with the numerical results of
economic load dispatch problems with three and five
generating units with valve - point loading without
considering prohibited operating zones and ramp rate limits.
The results of the projected BAT formula are compared with
that of other techniques such as lambda iteration, GA, PSO,
APSO, EP, ABC and basic principle. For each case, the
projected algorithmic program outperforms the answer
reported for the existing algorithms. Additionally, the
promising results show the hardness, quick convergence
and potency of the projected technique.
Multi Area Economic Dispatch Using Secant Method and Tie Line MatrixIJAPEJOURNAL
In this paper, Secant method and tie line matrix are proposed to solve multi area economic dispatch (MAED) problem with tie line loss. Generator limits of all generators in each area are calculated at given area power demands plus export (or import) using secant method and the generator limits of all generators are modified as modified generator limits. Central economic dispatch (CED) problem is used to determine the output powers of all generators and finally power flows in all tie lines are determined from tie line matrix. Here, Secant method is applied to solve the CED problem. A modified tie line matrix is used to find power flow in each tie line and then tie line loss is calculated from the power flow in each tie line. The proposed approach has been tested on two-area (two generators in each area) system and four-area (four generators in each area) system. It is observed from various cases that the proposed approach provides optimally best solution in terms of cost with tie line loss with less computational burden.
Sampling-Based Model Predictive Control of PV-Integrated Energy Storage Syste...Power System Operation
This paper proposes a novel control solution designed to solve the local and grid-connected
distributed energy resources (DERs) management problem by developing a generalizable framework capable
of controlling DERs based on forecasted values and real-time energy prices. The proposed model uses
sampling-based model predictive control (SBMPC), together with the real-time price of energy and forecasts
of PV and load power, to allocate the dispatch of the available distributed energy resources (DERs) while
minimizing the overall cost. The strategy developed aims to nd the ideal combination of solar, grid, and
energy storage (ES) power with the objective of minimizing the total cost of energy of the entire system.
Both ofine and controller hardware-in-the-loop (CHIL) results are presented for a 7-day test case scenario
and compared with two manual base test cases and four baseline optimization algorithms (Genetic Algo-
rithm (GA), Particle Swarm Optimization (PSO), Quadratic Programming interior-point method (QP-IP),
and Sequential Quadratic Programming (SQP)) designed to solve the optimization problem considering the
current status of the system and also its future states. The proposed model uses a 24-hour prediction horizon
with a 15-minute control horizon. The results demonstrate substantial cost and execution time savings when
compared to the other baseline control algorithms.
A MULTIPURPOSE MATRICES METHODOLOGY FOR TRANSMISSION USAGE, LOSS AND RELIABIL...ecij
In the era of power system restructuring there is a need of simplified method which provides a complete allocation of usage, transmission losses and transmission reliability margin. In this paper, authors presents a combined multipurpose matrices methodology for Transmission usage, transmission loss and transmission reliability margin allocation. Proposed methodology is simple and easy to implement on large power system. A modified Kirchhoff matrix is used for allocation purpose. A sample 6 bus system is used to demonstrate the feasibility of proposed methodology.
Differential Evolution Based Optimization Approach for Power Factor CorrectionIDES Editor
In radial distribution systems, the voltages at buses
reduces when moved away from the substation, also the losses
are high. The reason for decrease in voltage and high losses is
the insufficient amount of reactive power, which can be
provided by the shunt capacitors. For this purpose, in this
paper, two stage methodologies are used. In first stage, the
load flow of pre-compensated distribution system is carried
out using ‘Dimension reducing distribution load flow
algorithm’. In the second stage, Differential Evolution (DE)
technique is used to determine the optimal location and size
of the capacitors. The above method is tested on IEEE 69 bus
system. In this paper a new method is proposed to improve the
power factor of those buses having low power factor (less than
0.8lag) to unity power factor simultaneously by placing the
capacitors.
Solar PV parameter estimation using multi-objective optimisationjournalBEEI
The estimation of the electrical model parameters of solar PV, such as light-induced current, diode dark saturation current, thermal voltage, series resistance, and shunt resistance, is indispensable to predict the actual electrical performance of solar photovoltaic (PV) under changing environmental conditions. Therefore, this paper first considers the various methods of parameter estimation of solar PV to highlight their shortfalls. Thereafter, a new parameter estimation method, based on multi-objective optimisation, namely, Non-dominated Sorting Genetic Algorithm-II (NSGA-II), is proposed. Furthermore, to check the effectiveness and accuracy of the proposed method, conventional methods, such as, ‘Newton-Raphson’, ‘Particle Swarm Optimisation, Search Algorithm, was tested on four solar PV modules of polycrystalline and monocrystalline materials. Finally, a solar PV module photowatt PWP201 has been considered and compared with six different state of art methods. The estimated performance indices such as current absolute error matrics, absolute relative power error, mean absolute error, and P-V characteristics curve were compared. The results depict the close proximity of the characteristic curve obtained with the proposed NSGA-II method to the curve obtained by the manufacturer’s datasheet.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Varying Load Voltage Magnitude Impacts on Fault Level Constrained Optimal Pow...IJRES Journal
This paper mainly deals with OPF with fault level constraints (FLC) by using an iterative process. The OPF is to provide solutions in conditions where fault current levels at buses are within the specifications of switchgear. The aim of this paper is to consider the impacts of varying load voltage magnitudes to the bus impedance. This is done by formulating the bus impedance as a function of varying load voltages. FLC-OPF calculation was implemented by MATPOWER with corresponding modifications on its library source codes to cater non-linear constraints. The results showed that as FLC-OPF was imposed, the formulation considering the impact of varying voltage magnitude on the bus impedance have a better performance compared when the bus impedance is not considered to be a function of load voltage magnitude.
Economic/Emission Load Dispatch Using Artificial Bee Colony AlgorithmIDES Editor
This paper presents an application of the
artificial bee colony (ABC) algorithm to multi-objective
optimization problems in power system. A new multiobjective
artificial bee colony (MOABC) algorithm to
solve the economic/ emission dispatch (EED) problem is
proposed in this paper. Non-dominated sorting is
employed to obtain a Pareto optimal set. Moreover, fuzzy
decision theory is employed to extract the best
compromise solution. A numerical result for IEEE 30-bus
test system is presented to demonstrate the capability of
the proposed approach to generate well-distributed
Pareto-optimal solutions of EED problem in one single
run. In addition, the EED problem is also solved using the
weighted sum method using ABC. Results obtained with
the proposed approach are compared with other
techniques available in the literature. Results obtained
show that the proposed MOABC has a great potential in
handling multi-objective optimization problem.
Multi Objective Directed Bee Colony Optimization for Economic Load Dispatch W...IJECEIAES
Earlier economic emission dispatch methods for optimizing emission level comprising carbon monoxide, nitrous oxide and sulpher dioxide in thermal generation, made use of soft computing techniques like fuzzy,neural network,evolutionary programming,differential evolution and particle swarm optimization etc..The above methods incurred comparatively more transmission loss.So looking into the nonlinear load behavior of unbalanced systems following differential load pattern prevalent in tropical countries like India,Pakistan and Bangladesh etc.,the erratic variation of enhanced power demand is of immense importance which is included in this paper vide multi objective directed bee colony optimization with enhanced power demand to optimize transmission losses to a desired level.In the current dissertation making use of multi objective directed bee colony optimization with enhanced power demand technique the emission level versus cost of generation has been displayed vide figure-3 & figure-4 and this result has been compared with other dispatch methods using valve point loading(VPL) and multi objective directed bee colony optimization with & without transmission loss.
Capacitor Placement Using Bat Algorithm for Maximum Annual Savings in Radial ...IJERA Editor
This paper presents a two stage approach that determines the optimal location and size of capacitors on radial distribution systems to improve voltage profile and to reduce the active power loss. In first stage, the capacitor locations can be found by using loss sensitivity method. Bat algorithm is used for finding the optimal capacitor sizes in radial distribution systems. The sizes of the capacitors corresponding to maximum annual savings are determined by considering the cost of the capacitors. The proposed method is tested on 15-bus, 33 bus, 34-bus, 69-bus and 85-bus test systems and the results are presented.
Power losses reduction of power transmission network using optimal location o...IJECEIAES
Due to the growth of demand for electric power, electric power loss reduction takes great attention for the power utility. In this paper, a low-level generation or distributed generation (DG) has been used for transmission power losses reduction. Karbala city transmission network (which is the case study) has been represented by using MATLAB m-file to study the load flow and the power loss for it. The paper proposed the particle swarm optimization (PSO) technique in order to find the optimal number and allocation of DG with the objective to decrease power losses as possible. The results show the effect of the optimal allocation of DG on power loss reduction.
Islanded microgrid congestion control by load prioritization and shedding usi...IJECEIAES
The continued growth in load demand and the gradual change of generation sources to smaller distributed plants utilizing renewable energy sources (RESs), which supply power intermittently, is likely to strain existing power systems and cause congestion. Congestion management still remains a challenging issue in open access transmission and distribution systems. Conventionally, this is achieved by load shedding and generator rescheduling. In this study, the control of the system congestion on an islanded micro grid (MG) supplied by RESs is analyzed using artificial bee colony (ABC) algorithm. Different buses are assigned priority indices which forms the basis of the determination of which loads and what amount of load to shed at any particular time during islanding mode operation. This is to ensure as minimal load as possible is shed during a contingency that leads to loss of mains and ensure a congestion free microgrid operation. This is tested and verified on a modified IEEE 30-bus distribution systems on MATLAB platform. The results are compared with other algorithms to prove the applicability of this approach.
NOVEL PSO STRATEGY FOR TRANSMISSION CONGESTION MANAGEMENTelelijjournal
In post deregulated era of power system load characteristics become more erratic. Unplanned transactions
of electrical power through transmission lines of particular path may occur due to low cost offered by
generating companies. As a consequence those lines driven close to their operating limits and becomes
congested as the lines are originally designed for traditional vertically integrated structure of power
system. This congestion in transmission lines is unpredictable with deterministic load flow strategy.
Rescheduling active and reactive power output of generators is the promising way to manage congestion.
In this paper Particle Swarm Optimization (PSO) with varying inertia weight strategy, with two variants
e1-PSO and e-2 PSO is applied for optimal solution of active and reactive power rescheduling for
managing congestion. The generators sensitivity technique is opted for identifying participating generators
for managing congestion. Proposed algorithm is tested on IEEE 30 bus system. Comparison is made
between results obtained from proposed techniques to that of results reported in previous literature.
In this paper a load flow based method using MATLAB Software is used to determine the optimum location and optimum size of DG in a 43-bus distribution system for voltage profile improvement and loss reduction. This paper proposes analytical expressions for finding optimal size of three types of distributed generation (DG) units. DG units are sized to achieve the highest loss reduction in distribution networks. Single DG installation case was studied and compared to a case without DG, and 43-bus distribution system is used to demonstrate the effectiveness of the proposed method. The proposed analytical expressions are based on an improvement to the method that was limited to DG type, which is capable of injecting real power only, DG capable of injecting reactive power only and DG capable of injecting both real and reactive power can also be identified with their optimal size and location using the proposed method. This paper has been analysed with varying DG size and complexity and validated using analytical method for Summer case and Winter case in 43-bus distribution system in Myanmar.
Keywords- analytical method,distributed generation,power loss reduction,voltage profile improvement.
Cost Allocation of Reactive Power Using Matrix Methodology in Transmission Ne...IJAAS Team
In the deregulated market environment as generation, transmission and distribution are separate entities; reactive power flow in transmission lines is a question of great importance. Due to inductive load characteristic, reactive power is inherently flowing in transmission line. Hence under restructured market this reactive power allocation is necessary. In this work authors presents a power flow tracing based allocation method for reactive power to loads. MVAr-mile method is used for allocation of reactive power cost. A sample 6 bus and IEEE 14 bus system is used for showing the feasibility of developed method.
Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat A...IDES Editor
This paper proposes application of BAT algorithm
for solving economic load dispatch problem. BAT
algorithmic rule is predicated on the localization
characteristics of micro bats. The proposed approach has
been examined and tested with the numerical results of
economic load dispatch problems with three and five
generating units with valve - point loading without
considering prohibited operating zones and ramp rate limits.
The results of the projected BAT formula are compared with
that of other techniques such as lambda iteration, GA, PSO,
APSO, EP, ABC and basic principle. For each case, the
projected algorithmic program outperforms the answer
reported for the existing algorithms. Additionally, the
promising results show the hardness, quick convergence
and potency of the projected technique.
Multi Area Economic Dispatch Using Secant Method and Tie Line MatrixIJAPEJOURNAL
In this paper, Secant method and tie line matrix are proposed to solve multi area economic dispatch (MAED) problem with tie line loss. Generator limits of all generators in each area are calculated at given area power demands plus export (or import) using secant method and the generator limits of all generators are modified as modified generator limits. Central economic dispatch (CED) problem is used to determine the output powers of all generators and finally power flows in all tie lines are determined from tie line matrix. Here, Secant method is applied to solve the CED problem. A modified tie line matrix is used to find power flow in each tie line and then tie line loss is calculated from the power flow in each tie line. The proposed approach has been tested on two-area (two generators in each area) system and four-area (four generators in each area) system. It is observed from various cases that the proposed approach provides optimally best solution in terms of cost with tie line loss with less computational burden.
Sampling-Based Model Predictive Control of PV-Integrated Energy Storage Syste...Power System Operation
This paper proposes a novel control solution designed to solve the local and grid-connected
distributed energy resources (DERs) management problem by developing a generalizable framework capable
of controlling DERs based on forecasted values and real-time energy prices. The proposed model uses
sampling-based model predictive control (SBMPC), together with the real-time price of energy and forecasts
of PV and load power, to allocate the dispatch of the available distributed energy resources (DERs) while
minimizing the overall cost. The strategy developed aims to nd the ideal combination of solar, grid, and
energy storage (ES) power with the objective of minimizing the total cost of energy of the entire system.
Both ofine and controller hardware-in-the-loop (CHIL) results are presented for a 7-day test case scenario
and compared with two manual base test cases and four baseline optimization algorithms (Genetic Algo-
rithm (GA), Particle Swarm Optimization (PSO), Quadratic Programming interior-point method (QP-IP),
and Sequential Quadratic Programming (SQP)) designed to solve the optimization problem considering the
current status of the system and also its future states. The proposed model uses a 24-hour prediction horizon
with a 15-minute control horizon. The results demonstrate substantial cost and execution time savings when
compared to the other baseline control algorithms.
A MULTIPURPOSE MATRICES METHODOLOGY FOR TRANSMISSION USAGE, LOSS AND RELIABIL...ecij
In the era of power system restructuring there is a need of simplified method which provides a complete allocation of usage, transmission losses and transmission reliability margin. In this paper, authors presents a combined multipurpose matrices methodology for Transmission usage, transmission loss and transmission reliability margin allocation. Proposed methodology is simple and easy to implement on large power system. A modified Kirchhoff matrix is used for allocation purpose. A sample 6 bus system is used to demonstrate the feasibility of proposed methodology.
Differential Evolution Based Optimization Approach for Power Factor CorrectionIDES Editor
In radial distribution systems, the voltages at buses
reduces when moved away from the substation, also the losses
are high. The reason for decrease in voltage and high losses is
the insufficient amount of reactive power, which can be
provided by the shunt capacitors. For this purpose, in this
paper, two stage methodologies are used. In first stage, the
load flow of pre-compensated distribution system is carried
out using ‘Dimension reducing distribution load flow
algorithm’. In the second stage, Differential Evolution (DE)
technique is used to determine the optimal location and size
of the capacitors. The above method is tested on IEEE 69 bus
system. In this paper a new method is proposed to improve the
power factor of those buses having low power factor (less than
0.8lag) to unity power factor simultaneously by placing the
capacitors.
Solar PV parameter estimation using multi-objective optimisationjournalBEEI
The estimation of the electrical model parameters of solar PV, such as light-induced current, diode dark saturation current, thermal voltage, series resistance, and shunt resistance, is indispensable to predict the actual electrical performance of solar photovoltaic (PV) under changing environmental conditions. Therefore, this paper first considers the various methods of parameter estimation of solar PV to highlight their shortfalls. Thereafter, a new parameter estimation method, based on multi-objective optimisation, namely, Non-dominated Sorting Genetic Algorithm-II (NSGA-II), is proposed. Furthermore, to check the effectiveness and accuracy of the proposed method, conventional methods, such as, ‘Newton-Raphson’, ‘Particle Swarm Optimisation, Search Algorithm, was tested on four solar PV modules of polycrystalline and monocrystalline materials. Finally, a solar PV module photowatt PWP201 has been considered and compared with six different state of art methods. The estimated performance indices such as current absolute error matrics, absolute relative power error, mean absolute error, and P-V characteristics curve were compared. The results depict the close proximity of the characteristic curve obtained with the proposed NSGA-II method to the curve obtained by the manufacturer’s datasheet.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Varying Load Voltage Magnitude Impacts on Fault Level Constrained Optimal Pow...IJRES Journal
This paper mainly deals with OPF with fault level constraints (FLC) by using an iterative process. The OPF is to provide solutions in conditions where fault current levels at buses are within the specifications of switchgear. The aim of this paper is to consider the impacts of varying load voltage magnitudes to the bus impedance. This is done by formulating the bus impedance as a function of varying load voltages. FLC-OPF calculation was implemented by MATPOWER with corresponding modifications on its library source codes to cater non-linear constraints. The results showed that as FLC-OPF was imposed, the formulation considering the impact of varying voltage magnitude on the bus impedance have a better performance compared when the bus impedance is not considered to be a function of load voltage magnitude.
Optimal Capacitor Placement in Distribution System using Fuzzy TechniquesIDES Editor
To improve the overall efficiency of power system,
the performance of distribution system must be improved. It
is done by installing shunt capacitors in radial distribution
system. The problem of capacitor allocation in electric
distribution systems involves maximizing “energy and peak
power (demand) loss reductions” by means of capacitor
installations. As a result power factor of distribution system
improves. There is also lots of saving in terms of money. A 10
bus radial distribution system is taken as the model. Then a
load flow programs is executed on MATLAB. Then by using
load flow data & fuzzy techniques the determination of suitable
location of capacitor placement and its size is done. Shunt
capacitors to be placed at the nodes of the system will be
represented as reactive power injections. Fuzzy techniques have
advantages of simplicity, less computations & fast results. The
same techniques can be applied to complex distribution systems
& dynamic loads.
Fuzzy expert system based optimal capacitor allocation in distribution system-2IAEME Publication
One of the most popular image denoising methods based on self-similarity is called nonlocal
means (NLM). Though it can achieve remarkable performance, this method has a few shortcomings,
e.g., the computationally expensive calculation of the similarity measure, and the lack of reliable
candidates for some non repetitive patches. In this paper, we propose to improve NLM by integrating
Gaussian blur, clustering, and row image weighted averaging into the NLM framework.
Experimental results show that the proposed technique can perform denoising better than the original
NLM both quantitatively and visually, especially when the noise level is high.
Optimal Capacitor Placement in a Radial Distribution System using Shuffled Fr...IDES Editor
This paper presents a new and efficient approach
for capacitor placement in radial distribution systems that
determine the optimal locations and size of capacitor with an
objective of improving the voltage profile and reduction of
power loss. The solution methodology has two parts: in part
one the loss sensitivity factors are used to select the candidate
locations for the capacitor placement and in part two a new
algorithm that employs Shuffle Frog Leaping Algorithm
(SFLA) and Particle Swarm Optimization are used to estimate
the optimal size of capacitors at the optimal buses determined
in part one. The main advantage of the proposed method is
that it does not require any external control parameters. The
other advantage is that it handles the objective function and
the constraints separately, avoiding the trouble to determine
the barrier factors. The proposed method is applied to 45-bus
radial distribution systems.
Soft Computing Technique Based Enhancement of Transmission System Lodability ...IJERA Editor
Due to the growth of electricity demands and transactions in power markets, existing power networks need to be enhanced in order to increase their loadability. The problem of determining the best locations for network reinforcement can be formulated as a mixed discrete-continuous nonlinear optimization problem (MDCP). The complexity of the problem makes extensive simulations necessary and the computational requirement is high. This paper compares the effectiveness of Evolutionary Programming (EP) and an ordinal optimization (OO) technique is proposed in this paper to solve the MDCP involving two types of flexible ac transmission systems (FACTS) devices, namely static var compensator (SVC) and thyristor controlled series compensator (TCSC), for system loadability enhancement. In this approach, crude models are proposed to cope with the complexity of the problem and speed up the simulations with high alignment confidence. The test and Validation of the proposed algorithm are conducted on IEEE 14–bus system and 22-bus Indian system.Simulation results shows that the proposed models permit the use of OO-based approach for finding good enough solutions with less computational efforts.
Network Reconfiguration in Distribution Systems Using Harmony Search AlgorithmIOSRJEEE
This manuscript explores feeder reconfiguration in distribution networks and presents an efficient method to optimize the radial distribution system by means of simultaneous reconfiguration. Network Reconfiguration of radial distribution system is a significant way of altering the power flow through the lines. This assessment presents a modern method to solve the network reconfiguration problem with an objective of minimizing real power loss and improving the voltage profile in radial distribution system (RDS). A precise and load flow algorithm is applied and the objective function is formulated to solve the problem which includes power loss minimization. HSA Algorithm is utilized to restructure and identify the optimal strap switches for minimization of real power loss in a distribution network.. The strategy has been tested on IEEE 33-bus and 69- bus systems to show the accomplishment and the adequacy of the proposed technique. The results demonstrate that a significant reduction in real power losses and improvement of voltage profiles.
Simultaneous network reconfiguration and capacitor allocations using a novel ...IJECEIAES
Power loss and voltage magnitude fluctuations are two major issues in distribution networks that have drawn a lot of attention. Combining two of the numerous strategies for solving these problems and dealing with them simultaneously to get more effective outcomes is essential. Therefore, this study hybridizes the network reconfiguration and capacitor allocation strategies, proposing a novel dingo optimization algorithm (DOA) to solve the optimization problems. The optimization problems for simultaneous network reconfiguration and capacitor allocations were formulated and solved using a novel DOA. To demonstrate its effectiveness, DOA’s results were contrasted with those of the other optimization techniques. The methodology was validated on the IEEE 33-bus network and implemented in the MATLAB program. The results demonstrated that the best network reconfiguration was accomplished with switches 7, 11, 17, 27, and 34 open, and buses 8, 29, and 30 were the best places for capacitors with ideal sizes of 512, 714, and 495 kVAr, respectively. The network voltage profile was significantly improved as the least voltage at bus 18 was increased to 0.9530 p.u. Furthermore, the overall real power loss was significantly mitigated by 48.87%, which, when compared to the results of other methods, was superior.
Performance comparison of distributed generation installation arrangement in ...journalBEEI
Placing Distributed Generation (DG) into a power network should be planned wisely. In this paper, the comparison of having different installation arrangement of real-power DGs in transmission system for loss control is presented. Immune-brainstorm-evolutionary programme (IBSEP) was chosen as the optimization technique. It is found that optimizing fixed-size DGs locations gives the highest loss reduction percentage. Apart from that, scattered small-sized DGs throughout a network minimizes transmission loss more than allocating one biger-sized DG at a location.
Evolutionary algorithm solution for economic dispatch problemsIJECEIAES
A modified firefly algorithm (FA) was presented in this paper for finding a solution to the economic dispatch (ED) problem. ED is considered a difficult topic in the field of power systems due to the complexity of calculating the optimal generation schedule that will satisfy the demand for electric power at the lowest fuel costs while satisfying all the other constraints. Furthermore, the ED problems are associated with objective functions that have both quality and inequality constraints, these include the practical operation constraints of the generators (such as the forbidden working areas, nonlinear limits, and generation limits) that makes the calculation of the global optimal solutions of ED a difficult task. The proposed approach in this study was evaluated in the IEEE 30-Bus test-bed, the evaluation showed that the proposed FA-based approach performed optimally in comparison with the performance of the other existing optimizers, such as the traditional FA and particle swarm optimization. The results show the high performance of the modified firefly algorithm compared to the other methods.
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...ijeei-iaes
One of the concerns of power system planners is the problem of optimum cost of generation as well as loss minimization on the grid system. This issue can be addressed in a number of ways; one of such ways is the use of reactive power support (shunt capacitor compensation). This paper used the method of shunt capacitor placement for cost and transmission loss minimization on Nigerian power grid system which is a 24-bus, 330kV network interconnecting four thermal generating stations (Sapele, Delta, Afam and Egbin) and three hydro stations to various load points. Simulation in MATLAB was performed on the Nigerian 330kV transmission grid system. The technique employed was based on the optimal power flow formulations using Newton-Raphson iterative method for the load flow analysis of the grid system. The results show that when shunt capacitor was employed as the inequality constraints on the power system, there is a reduction in the total cost of generation accompanied with reduction in the total system losses with a significant improvement in the system voltage profile
Optimal Allocation of Capacitor Bank in Radial Distribution System using Anal...IJECEIAES
In this paper, a novel analytical technique is proposed for optimal allocation of shunt capacitor bank in radial distribution system. An objective function is formulated to determine the optimal size, number and location of capacitor bank for real & reactive power loss reduction, voltage profile enhancement and annual cost saving. A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed here. The value of PVSC constant decides the candidate bus location and size. The achievability of the proposed method has been demonstrated on IEEE-69 bus and real distribution system of Jamawaramgarh, Jaipur city. The obtained results are compared with latest optimization techniques to show the effectiveness and robustness of the proposed technique.
Optimal power flow based congestion management using enhanced genetic algorithmsIJECEIAES
Congestion management (CM) in the deregulated power systems is germane and of central importance to the power industry. In this paper, an optimal power flow (OPF) based CM approach is proposed whose objective is to minimize the absolute MW of rescheduling. The proposed optimization problem is solved with the objectives of total generation cost minimization and the total congestion cost minimization. In the centralized market clearing model, the sellers (i.e., the competitive generators) submit their incremental and decremental bid prices in a real-time balancing market. These can then be incorporated in the OPF problem to yield the incremental/ decremental change in the generator outputs. In the bilateral market model, every transaction contract will include a compensation price that the buyer-seller pair is willing to accept for its transaction to be curtailed. The modeling of bilateral transactions are equivalent to the modifying the power injections at seller and buyer buses. The proposed CM approach is solved by using the evolutionary based Enhanced Genetic Algorithms (EGA). IEEE 30 bus system is considered to show the effectiveness of proposed CM approach.
Optimal power flow with distributed energy sources using whale optimization a...IJECEIAES
Renewable energy generation is increasingly attractive since it is non-polluting and viable. Recently, the technical and economic performance of power system networks has been enhanced by integrating renewable energy sources (RES). This work focuses on the size of solar and wind production by replacing the thermal generation to decrease cost and losses on a big electrical power system. The Weibull and Lognormal probability density functions are used to calculate the deliverable power of wind and solar energy, to be integrated into the power system. Due to the uncertain and intermittent conditions of these sources, their integration complicates the optimal power flow problem. This paper proposes an optimal power flow (OPF) using the whale optimization algorithm (WOA), to solve for the stochastic wind and solar power integrated power system. In this paper, the ideal capacity of RES along with thermal generators has been determined by considering total generation cost as an objective function. The proposed methodology is tested on the IEEE-30 system to ensure its usefulness. Obtained results show the effectiveness of WOA when compared with other algorithms like non-dominated sorting genetic algorithm (NSGA-II), grey wolf optimization (GWO) and particle swarm optimization-GWO (PSOGWO).
This paper discusses the possible applications of particle swarm optimization (PSO) in the Power system. One of the problems in Power System is Economic Load dispatch (ED). The discussion is carried out in view of the saving money, computational speed – up and expandability that can be achieved by using PSO method. The general approach of the method of this paper is that of Dynamic Programming Method coupled with PSO method. The feasibility of the proposed method is demonstrated, and it is compared with the lambda iterative method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
Quantum behaved artificial bee colony based conventional controller for opti...IJECEIAES
Since a multi area system (MAS) is characterized by momentary overshoot, undershoot and intolerable settling time so, neutral copper conductors are replaced by multilayer zigzag graphene nano ribbon (MLGNR) interconnects that are tremendously advantageous to copper interconnects for the future transmission line conductors necessitated for economic and emission dispatch (EED) of electric supply system giving rise to reduced overshoots and settling time and greenhouse effect as well. The recent work includes combinatorial algorithm involving proportional integral and derivative controller and heuristic swarm optimization; we say it as Hybridparticle swarm optimization (PSO) controller. The modeling of two multi area systems meant for EED is carried out by controlling the conventional proportional integral and derivative (PID) controller regulated and monitored by quantum behaved artificial bee colony (ABC) optimization based PID (QABCOPID) controller in MATLAB/Simulink platform. After the modelling and simulation of QABCOPID controller it is realized that QABCOPID is better as compared to multi span double display (MM), neural network based PID (NNPID), multi objective constriction PSO (MOCPSO) and multi objective PSO (MOPSO). The real power generation fixed by QABCOPID controller is used to estimate the combined cost and emission objectives yielding optimal solution, minimum losses and maximum efficiency of transmission line.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Capacitor Placement and Reconfiguration of Distribution System with hybrid Fuzzy-Opposition based Differential Evolution Algorithm
1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 6, Issue 4 (Jul. - Aug. 2013), PP 64-69
www.iosrjournals.org
www.iosrjournals.org 64 | Page
Capacitor Placement and Reconfiguration of Distribution System
with hybrid Fuzzy-Opposition based Differential Evolution
Algorithm
R.MuthuKumar1
, Dr.K.Thanushkodi2
1
(Research Scholar, Anna University, Tamilnadu, India)
2
(Director, Akshaya College of Engineering and Technology, Coimbatore, Tamilnadu, India)
Abstract: Distribution system reconfiguration and optimal capacitor placement are the two techniques adapted
for the control of power loss. These techniques not only control the power loss but also control volt/var of the
distribution system, and improve the system reliability and security. This paper proposes a method to handle
reconfiguration and capacitor placement simultaneously for the effective optimization. In order to consider the
constraints along with the objective, heuristic fuzzy has been integrated with ODE. The effectiveness of the
proposed approach is demonstrated by employing the feeder switching operation scheme to IEEE-33 bus Power
Distribution systems. The proposed algorithm reduces the transmission loss and controls volt/var while
satisfying power flow constraints.
Keywords -Capacitor placement, Differential evolution, Distribution network reconfiguration, Loss reduction,
Switching operation
I. Introduction
Development of electrical power distribution system performance requires proper plans for increasing
utilities efficiency, for instance, losses reduction. Different approaches are used to reduce losses such as optimal
use of electrical equipments, optimal use of loading at the transformers, reconfiguration, and optimal capacitor
placement, optimal placement of DG (Distributed Generation) and removal of harmonics. Amongst all,
reconfiguration and capacitor placement are comparatively lesser operating cost. The reconfiguration of a
distribution system is a process, which alters the feeder topological structure by changing the open/close status
of the switches in the distribution system. The presence of high number of switching elements in a radial
distribution system makes the network reconfiguration a highly complex combinatorial, non-differentiable and
constrained non-linear mixed integer optimization problem. Also, the number of variables varies with respect to
the size of the system. The distribution system with „n‟ switches will have „n‟ variables. The demand for a radial
operation also makes the mathematical model more difficult to represent efficiently and codification of a
solution becomes difficult when metaheuristic techniques are employed. Even though reconfiguration strategy
has above said limitations, it is a most widely recommended and most successful strategy with zero operating
cost.
The feeder reconfiguration problem has been dealt in various papers. Civanlar et al.[1] conducted the
early work on feeder reconfiguration for loss reduction. In [2], Baran et al. defined the problem of loss reduction
and load balancing as an integer programming problem. Aoki et al. [3] developed a method for load transfer, in
which the load indices were used for load balancing. In Shirmohammadi and Hong [4], the solution method
starts with a meshed distribution system obtained by considering all switches closed. Then, the switches are
opened successively to eliminate the loops. Developments in algorithm design techniques such as simulated
annealing [5], heuristic fuzzy [6], Artificial Neural Network [7], population based evolutionary algorithms [8-9]
provides much improvement in reconfiguration strategy. The plant growth simulation algorithm (PGSA) is
employed to optimize the network configuration of the distribution system [10]. The PGSA provides a detailed
description on switch state and decision variables, which greatly contracts the search space and hence reduces
computation effort. In [11], harmony search algorithm has been proposed for reconfiguration.
As the nature of capacitor placement problem is complex combinatorial, different techniques have been
followed by the authors in the past. The initial contribution was made by Schmill [12] using 2/3 rule for
capacitor placement. Dynamic programming with assuming the capacitor sizes as discrete variables adapted by
Duran [13]. The capacitor problem was viewed as a nonlinear problem by Grainger et al. [14], where variables
were treated as continuous. The improvements in advanced optimization techniques such as genetic algorithm,
micro genetic, particle swarm optimization, ant colony and differential evolution allowed the optimization
procedures comparatively easier than the conventional procedures. Optimal capacitor placement was carried out
through genetic algorithm by [15]. The number of locations was considered as the total variables for genetic
algorithm. The microgenetic concepts involving enhanced genetic algorithm was proposed in [16]. The power
2. Capacitor Placement and Reconfiguration of Distribution System with hybrid Fuzzy-Opposition based
www.iosrjournals.org 65 | Page
flow constraints were handled through fuzzy logic concepts. Optimization procedure through particle swarm
optimization principle was adapted in [17]. Optimization through plant growth simulation algorithm (PGSA)
was first introduced for feeder reconfiguration in [12]. Later, the PGSA along with loss sensitivity factors was
introduced [18] for optimal capacitor placement. Loss sensitivity factors were used to find the optimal location
i.e weak buses which require capacitor. PGSA was incorporated in order to find out the optimal sizing of the
capacitors.
The optimization procedure combining both capacitor placement and reconfiguration was recently
introduced. In [19], the ant colony optimization algorithm was introduced for the optimization. The combined
usage of deterministic approach and heuristic technique for network reconfiguration and optimal capacitor
placement for power-loss reduction and voltage profile improvement in distribution networks [20]. The
improved reconfiguration method along with GA used for simultaneous reconfiguration and capacitor placement
for distribution network optimization in [21].
In this paper, Opposition based Differential Evolution [22] algorithm has been presented for
simultaneous handling of reconfiguration and optimal capacitor placement. Further, heuristic fuzzy has been
incorporated to look at constraints with objective. The effectiveness of the proposed approach is demonstrated
by employing the feeder switching operation scheme to IEEE-33 bus.
II. Problem Formulation
The main objective of the optimal capacitor placement is to minimize the total annual cost of the
system subject to the power flow constraints such as bus voltage (|Vmin| < |Vi| <|Vmax|), branch currents (|Ijl| <
|Imax,jƐnl|) and radiality constraints. The mathematical equation relevant to the objective function of the problem is
defined as,
F=Minimize(C) (1)
Where, the term „C‟ represents the total cost of the distribution system, it includes the cost for energy
loss and capacitor cost.
The problem carried out with following assumptions.
(i) Loads are static
(ii) Distribution system is perfectly balanced
(iii) Well reactive power compensated system
(iv) Operation and maintenance costs of the capacitors are negligible.
The single line diagram of the balanced distribution system shown in the Figure 1 used to describe the
load flow calculations. In Figure 1, Pi and Qi represents the real and reactive power flow between the sending
and receiving end buses, PLi and QLi denotes the real and reactive power loads. The line resistance and reactance
are denoted as Ri,j and Xi,j.
2
iy
is the total shunt admittance at bus i
Figure 1 Single line diagram of a main feeder
The following set of equations are used to calculate the power flow,
(2)
2
V
V
Q+P
X-Q-Q=Q 2
i2
i
2
i
2
i
1+ii,1+Lii1+i
iy
(3)
V
Q+P
)X+(R+)QX+P2(R-V=V 2
i
2
i
2
i2
1+ii,
2
1+ii,i1+ii,i1+ii,
2
i
2
1i
(4)
2 2
i i
i 1 i Li+1 i,i+1 2
i
P +Q
P = P - P - R
V
3. Capacitor Placement and Reconfiguration of Distribution System with hybrid Fuzzy-Opposition based
www.iosrjournals.org 66 | Page
The power loss PF,Loss of the feeder is determined by summing the losses of all line sections of the
feeder and it is given by,
2 2
nl i i
F,Loss i,i 1 2i 1
i
P +Q
P R
V
(5)
The total energy loss cost (Ecost) has been calculated as,
Ecost=PT,loss * Kp; (6)
where Kp is the equivalent annual cost of power loss in $/(kW-year)
In general, the cost per KVAR varies with respect to their size. The available capacitor sizes and their
cost (K) were given in [19]. The total cost of the distribution system is given in equation (7).
C=Ecost+ Cq,cost (7)
where,
annual
q,cost q,fixed i iC C C *Q
Cq,fixed is the fixed cost for the capacitor placement
$/year
annual
iC is the annual cost for the capacitor installation
in $/(KVAR-year)
(i is the selected buses for capacitor installation)
Qi is the reactive power in (KVAR)
III. Search Strategy For Capacitor Sizing Through Ode Algorithm
Opposition based differential algorithm is a recent evolutionary algorithm with enhanced features such
as self acceleration, self migration and assured optimal search with least population size. The efficiency of the
algorithm can be well proven by applying into complex and/or large problems. In this paper, the purpose of
introduction of ODE is to find the optimal location for capacitor placement, optimal capacitor size and optimal
configuration. The number of variables for ODE searching is the total of number of loops, number of locations
and number of locations (for proper sizing). For instance, the system with „x‟ loops and „y‟ locations will
require „x+2y‟ ODE variables.
IV. Fuzzy Operations For Multi-Objective Capacitor Placement
In fuzzy domain, each objective is associated with a membership function. The membership function
indicates the degree of satisfaction of the objective. In the crisp domain, either the objective is satisfied or it is
violated, implying membership values of unity and zero, respectively. When there are multiple objectives to be
satisfied simultaneously, a compromise has to be made to get the best solution. The four objectives such as
power loss minimization, total cost minimization, bus voltage deviation minimization and branch current
deviation minimization are fuzzified and dealt by integrating them into a min-max imperative of fuzzy
satisfaction objective function.
In the proposed method for system optimization, the terms μFj, μCj, μVj and μIj indicate the membership
function for power loss reduction, total cost reduction, bus voltage deviation and branch current deviation
respectively of the jth
configuration. The higher membership value implies a greater satisfaction with the
solution. The membership function consists of a lower and upper bound value together with a strictly
monotonically decreasing and continuous function.
4.1 Fuzzy-set Model for Power Loss Minimization
The deviation of power loss of the new configuration (Pnloss) to the previous configuration loss
(Poloss) is to be identified with the objective of minimizing the system power loss. The power loss of the system
has been obtained from radial load flow for each new configuration. Moreover, the amount of the Pnloss resulting
from capacitor inclusion can be estimated as „very close, „close‟ or „not close‟ to the Poloss. Therefore, the
linguistic terms can be formulated as a membership function by the fuzzy notation. The membership function μFj
has been depicted using Equation (8). A small difference between Pnloss and Poloss possesses a larger membership
value. The membership function at jth
configuration can be expressed as follows,
4. Capacitor Placement and Reconfiguration of Distribution System with hybrid Fuzzy-Opposition based
www.iosrjournals.org 67 | Page
max j
min j max
max min
Fj j max
j max
X X
for X X X
X X
1.0 for X X
0 .0 for X X
(8)
where, Xj =Pnloss/Ptloss
V. Simulation Results
The effectiveness of the algorithm has been validated through IEEE 33-bus test distribution system
[19]. The system has 5 normally opened switches, 32 normally closed switches with 33 buses and it is assumed
as balanced three-phase with 12.66kV. The corresponding power loss is 202.7kW. It has been carried out by
considering the system working under normal conditions, i.e., all the branches are being loaded without
violating its limits, voltage at the buses is within limit and the phases are balanced.
The optimization process starts with identifying the total variables, such as number of locations for
capacitor placement and loops present in the distribution system. For the test system, it has been considered as 5
loops and 3 locations for the capacitor placement based on experience and earlier studies. Therefore, total
number of variables required for ODE searching is 11(ie. 5 for loops, 3 for locations and 3 for sizing).
5.1 Variable Size
For the 5 loops, as per the PGSA [10], decision variables are designed for the system, which is shown in Fig. 2.
Figure 2 IEEE 33-bus RDS with state variable sketch
The description of the switch states is identified as,
i. the open switches are S33, S34, S35, S36, and S37;
ii. the closed switches are S1 to S32;
iii. the permanently closed switches are S1, S2, S3, S18 and S22 (since these switches are near to the
feeder);
iv. the temporary closed state switches are S3, S4, S5, S6, S7, S8, S9, S10, S11, S25, S26, S27, and S28 (since
these switches are common to more than one loop;
As a result, the solution sets are re-defined as,
1 4 5 6 7 20 19 33
2 8 9 10 11 21 35
3 12 13 14 34
4 25 26 27 28 23 24 37
5 15 16 17 32 31 30 29 36
L S ,S ,S ,S ,S ,S ,S
L S ,S ,S ,S ,S ,S
L S ,S ,S ,S
L S ,S ,S ,S ,S , S ,S
L S ,S ,S ,S ,S ,S ,S ,S
(9)
5. Capacitor Placement and Reconfiguration of Distribution System with hybrid Fuzzy-Opposition based
www.iosrjournals.org 68 | Page
The equation (9) reveals that the system has five loops with set of switches. The searching for the best
set of open switches from each loop has been carried out with ODE. The number of switches present in each
loop such as 7,6,4,7 and 8 defines the range for the variables. Therefore, the range for the searching process is
selected as (1-7), (1-6), (1-4), (1-7) and (1-8) for the variables L1, L2, L3, L4 and L5 respectively.
For location variables, total number of buses except feeder bus has been considered as the maximum
range for the variables. For „n‟ bus system, the maximum value of the variable has to be „n-1‟.
For capacitor sizing variables, the range for the variables and corresponding cost has been shown in
Table 1 [18].
Table 1 Capacitor sizes and cost
Sl.
No.
Q in
kVAR
Capacitor cost
in $/kVAR
Sl.
No.
Q in
kVAR
Capacitor cost
in $/kVAR
1 150 0.500 15 2250 0.197
2 300 0.350 16 2400 0.170
3 450 0.253 17 2550 0.189
4 600 0.220 18 2700 0.187
5 750 0.276 19 2850 0.183
6 900 0.183 20 3000 0.180
7 1050 0.228 21 3150 0.195
8 1200 0.170 22 3300 0.174
9 1350 0.207 23 3450 0.188
10 1500 0.201 24 3600 0.170
11 1650 0.193 25 3750 0.183
12 1800 0.187 26 3900 0.182
13 1950 0.211 27 4050 0.179
14 2100 0.176
5.2 Implementation
For instance for variable L1, by the control strategy “DE/current-to-rand/1” the value generated is 3
then S6 is the switch assumed as opened in the loop 1 and the same process is continued for the rest of the
variables. The initial population and their respective losses were calculated and stored. With the initial values of
F=0.8 and CR=0.6 searching was done for the fixed number of iterations. The proposed method reduces the
power loss from 202.67 kW to 101.42 kW, and maintains the bus voltages well above minimum value. The
kVAR at the buses 27, 28 and 29 are 149, 727 and 149 respectively. With the effective influence of capacitors at
the optimal locations the total operating cost of the system has been reduced from 34,049.75 $/Year to
18,198.96 $/Year. Thus the proposed algorithm has achieved 46.55 % of cost saving with the combined
reconfiguration-optimal capacitor placement case. Furthermore, the bus voltages are maintained within the limit.
The results of the three cases are compared in Table 2 along with the results of the previous published work
[20]. From the Table, it is understood that the annual operating cost and power loss has been greatly reduced
with the combined reconfiguration and capacitor placement approach.
Table 2 Summary of results for 33-bus RDS
Parameters
Initial
Configuration
Reconfiguration
Only
[10]
Capacitor
Placement
Only
[18]
Reconfiguration
and Capacitor
Placement
[20]
Proposed
Reconfiguration
and Capacitor
Placement
Loss (kW) 202.67 139.54 159.89 101.49 101.42
Min. bus
Voltage (pu)
0.913 0.9378 0.933 0.957 0.959
Total
Capacitor
size (kVAR)
- - 2940 1685 1027
Power Loss
Cost
($/(KW-yr))
- 23444.62 26861.59 17038.56 17039.03
Capacitor
Cost ($/yr)
- - 1529.87 722.84 159.94
Total Annual
Cost ($/yr)
34049.75 23444.62 28,391.46 18761.4 18198.96
%
saving
- 31.14 16.61 44.9 46.55
VI. Conclusion
An efficient approach that combines the reconfiguration and optimal capacitor placement for power
loss reduction and bus voltage improvement has been proposed in this paper. ODE has taken care of
6. Capacitor Placement and Reconfiguration of Distribution System with hybrid Fuzzy-Opposition based
www.iosrjournals.org 69 | Page
reconfiguration, optimal capacitor location and capacitor sizing. With the effective inclusion of heuristic fuzzy,
the power flow constraints were considered along with loss reduction. The proper use of ODE improves the
efficiency in terms of reduced number of load flow executions, reduced computational executions and removal
of unfeasible solutions in the search space. The results obtained with the present approach, when compared with
the previous methods proposed by the authors shows that the introduction of the algorithm with hybrid FODE
has contributed to reduce the number of power flows and has incorporated the network constraints. Hence with
the effective introduction of the proposed algorithm, loss reduction was done subjected under constraints such as
bus voltage limit and branch current limit and can be applied to any large real radial distribution system supplied
from both single and multi feeders.
References
[1] S. Civanlar, J. J. Grainger, H. Yin, and S. S. H. Lee, “Distribution feeder reconfiguration for loss reduction,” IEEE Trans. Power
Del., vol. 3, no. 3, pp. 1217–1223, Jul. 1988.
[2] Baran ME and Wu FF, „Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE
Trans. Power Del., vol. 4, no. 1, pp. 401-1407, Jan. 1989.
[3] Aoki K, Kawabara H, and Satoh. M, “An efficient algorithm for load balancing of transformers and feeders,” IEEE
Trans. Power Del., vol. 3, no. 4, pp. 1865-1872, Jul. 1988.
[4] D. Shirmohammadi and H.W. Hong, “Reconfiguration of electric distribution networks for resistive line losses reduction,” IEEE
Trans. Power Del., vol. 4, no. 2, pp. 1492–1498, Apr. 1989.
[5] H. C. Cheng and C. C. Ko, “Network reconfiguration in distribution systems using simulated anealing”, Elect. Power Syst. Res., vol.
29, pp. 227-238, May 1994.
[6] K. Huang and H. Chin, “Distribution feeder energy conservation by using heuristics fuzzy approach,” Electrical Power and
Energy Systems, vol. 24,pp. 439-445, 2002.
[7] H. Salazar, R. Gallego, and R. Romero, “Artificial neural networks and clustering techniques applied in the reconfiguration of
distribution sys- tems,” IEEE Trans. Power Del., vol. 21, no. 3, pp. 1735–1742, 2006.
[8] Ying-Yi .H and Saw-Yu .H, “Determination of network configuration considering multiobjective in distribution systems using
genetic algorithms”, IEEE Trans. on Power Sys., vol. 20, no. 2, pp. 1062-1069, 2006.
[9] K. Qin and P. N. Suganthan, “Self-adaptive differential evolution algorithm for numerical optimization,” in Proc. IEEE Congr.
Evolut. Comput., Edinburgh, Scotland, , pp. 1785–1791, 2005
[10] Wang and H.Z. Cheng, “Optimization of Network configuration in Large distribution systems using plant growth simulation
algorithm,” IEEE Trans. Power Syst., vol.23, No. 1, pp. 119-126, 2008.
[11] R. Srinivasa Rao, S. V. L. Narasimham, M. Ramalinga Raju, and A. Srinivasa Rao, “Optimal network reconfiguration of large-scale
distribution system using harmony search algorithm,” IEEE Trans. on Power Systems, vol. 26, no. 3, pp. 1080–1088, 2011.
[12] Schmill JV. Optimum size and location of shunt capacitors on distribution feeders. IEEE Trans Power Apparat Syst; 84:825–32,
1965.
[13] Duran H. Optimum number, location and size of shunt capacitors in radial distribution feeders: a dynamic programming approach.
IEEE Trans Power Apparat Syst.., 87:1769–74, 1968.
[14] Grainger JJ, Lee SH, “ Optimum size and location of shunt capacitors for reduction of losses on distribution feeders”, IEEE Trans
Power Apparat Syst;100(3):1105–18, 1981.
[15] Das D, “ Reactive power compensation for radial distribution networks using genetic algorithms”, Electrical Power Energy
Syst.,24:573–81, 2002.
[16] B. A. Souza, H. N. Alves, and H. A. Ferreira, “Microgenetic algorithms and fuzzy logic applied to the optimal placement of
capacitor banks in distribution networks,” IEEE Trans. Power Syst., vol. 19, no. 2, pp. 942–947, May 2004.
[17] Prakash K, Sydulu M, “Particle swarm optimization based capacitor placement on radial distribution systems” IEEE power
engineering society, general meeting; 2007. p. 1–5.
[18] Srinivasas Rao R, Narasimham S.V.L, Ramalingaraju M, “Optimal capacitor placement in a radial distribution system using Plant
Growth Simulation Algorithm”, Electrical Power Energy Syst 2011;33: 1133-1139.
[19] M. J. Kasaei and M. Gandomkar, “Loss Reduction in Distribution Network Using Simultaneous Capacitor Placement and
Reconfiguration With Ant Colony Algorithm”, IEEE Proceeding, DOI: 978-1-4244-4813-5/10, 2010.
[20] Diana P. Montoya and Juan M, “Reconfiguration and optimal capacitor placement for losses reduction”, IEEE Proceedings, DOI:
978-1-4673-2673-5, 2012.
[21] Farahai, Behrooz and Hossein, “Reconfiguration and capacitor placement simultaneously for energy loss reduction based on an
improved reconfiguration method,” IEEE Trans. Power Syst., vol. 27, no. 2, pp. 587-595 , May 2012.
[22] S. Rahnamayan, R. Tizhoosh, and M. A. Salama, “Opposition-Based Differential Evolution,” IEEE Trans. on Evolutionary
Computation, vol. 12, no. 1, pp. 64-79, 2008.