This document summarizes a thesis on optimally placing and sizing capacitor banks in a radial distribution system to improve voltage profile and reduce losses, and the effects of adding distributed generation. The study formulates an objective function to minimize losses and maximize voltages. Optimal capacitor placement is performed using genetic algorithms in ETAP software. Manual placement of capacitor banks is also evaluated. Adding distributed generation along with capacitors is found to further improve voltages and reduce losses compared to capacitors alone. The conclusion discusses benefits of compensation and future work on switching technologies and soft computing techniques for optimization.
As the fifth in a series of tutorials on the power system, Leonardo ENERGY introduces its minute lecture on voltage and frequency control, using the analogy of a metal/rubber plate to demonstrate the centralised nature of frequency control, whereas voltage control is more a local matter.
As the fifth in a series of tutorials on the power system, Leonardo ENERGY introduces its minute lecture on voltage and frequency control, using the analogy of a metal/rubber plate to demonstrate the centralised nature of frequency control, whereas voltage control is more a local matter.
High Voltage Direct Current technology has certain characteristics which
make it especially attractive for transmission system applications. HVDC
transmission system is useful for long-distance transmission, bulk power delivery and
long submarine cable crossings and asynchronous interconnections. The study of
faults is essential for reasonable protection design because the faults will induce a
significant influence on operation of HVDC transmission system. This paper provides
the most dominant and frequent faults on the HVDC systems such as DC Line-to-
Ground fault and Line-to-Line fault on DC link and some common types of AC faults
occurs in overhead transmission system such as Line-to-Ground fault, Line-to-Line
fault and L-L-L fault. In HVDC system, faults on rectifier side or inverter side have
major affects on system stability. The various types of faults are considered in the
HVDC system which causes due to malfunctions of valves and controllers, misfire
and short circuit across the inverter station, flashover and three phase short circuit.
The various faults occurs at the converter station of a HVDC system and
Controlling action for those faults. Most of the studies have been conducted on line
faults. But faults on rectifier or inverter side of a HVDC system have great impact on
system stability. Faults considered are fire-through, misfire, and short circuit across
the inverter station, flashover, and a three-phase short circuit in the ac system. These
investigations are studied using matlab simulink models and the result represented in
the form of typical time responses.
These slides are all about Phasor Measurement Units (PMUs). An introduction to PMU is presented as a preliminary knowledge for the course 'Distribution Generation and Smart Grid'. Your valuable suggestions are welcome.
A brief and basic presentation of interconnections of pwer system,it covers all the basic aspects of power system interconnection that how systems can be built with interconnections
this is useful for peoples interested in power quality problems and their mitigation. it provides causes, effects of voltage sag and their mitigation techniques.
These slides present an introduction to load flow analysis for distribution system. Later the detail algorithm, matlab coding and application to IEEE radial distribution system will be subsequently provided.
High Voltage Direct Current technology has certain characteristics which
make it especially attractive for transmission system applications. HVDC
transmission system is useful for long-distance transmission, bulk power delivery and
long submarine cable crossings and asynchronous interconnections. The study of
faults is essential for reasonable protection design because the faults will induce a
significant influence on operation of HVDC transmission system. This paper provides
the most dominant and frequent faults on the HVDC systems such as DC Line-to-
Ground fault and Line-to-Line fault on DC link and some common types of AC faults
occurs in overhead transmission system such as Line-to-Ground fault, Line-to-Line
fault and L-L-L fault. In HVDC system, faults on rectifier side or inverter side have
major affects on system stability. The various types of faults are considered in the
HVDC system which causes due to malfunctions of valves and controllers, misfire
and short circuit across the inverter station, flashover and three phase short circuit.
The various faults occurs at the converter station of a HVDC system and
Controlling action for those faults. Most of the studies have been conducted on line
faults. But faults on rectifier or inverter side of a HVDC system have great impact on
system stability. Faults considered are fire-through, misfire, and short circuit across
the inverter station, flashover, and a three-phase short circuit in the ac system. These
investigations are studied using matlab simulink models and the result represented in
the form of typical time responses.
These slides are all about Phasor Measurement Units (PMUs). An introduction to PMU is presented as a preliminary knowledge for the course 'Distribution Generation and Smart Grid'. Your valuable suggestions are welcome.
A brief and basic presentation of interconnections of pwer system,it covers all the basic aspects of power system interconnection that how systems can be built with interconnections
this is useful for peoples interested in power quality problems and their mitigation. it provides causes, effects of voltage sag and their mitigation techniques.
These slides present an introduction to load flow analysis for distribution system. Later the detail algorithm, matlab coding and application to IEEE radial distribution system will be subsequently provided.
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.
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.
Loss Reduction by Optimal Placement of Distributed Generation on a Radial feederIDES Editor
Due to the increasing interest on renewable sources
in recent times, the studies on integration of distributed
generation to the power grid have rapidly increased. In order
to minimize line losses of power systems, it is crucially
important to define the location of local generation to be placed.
Proper location of DGs in power systems is important for
obtaining their maximum potential benefits. This paper
presents analytical approaches to determine the optimal
location to place a DG on radial systems to minimize the power
loss of the system. Simulation results are given to verify the
proposed analytical approaches.
Optimal Location and Sizing of DG using Fuzzy logicIJMER
Introduction of distributed generation modifies the structure of power system network. High
levels of penetration of distributed generation (DG) are new challenges for traditional electric power
systems. A power injection from DG units modifies network power flows, changes energy losses and
improves voltage profile of the system. Proper locations of DG units in power systems are very important
in order to obtain maximum potential advantages. There are some of the most popular DG placement
methods, such as Optimal Power Flow, 2/3Rule and Evolutionary Computational Methods. The
Evolutionary computational method includes Genetic Algorithm, Fuzzy Systems and Tabu Search. In this
paper we have considered the Fuzzy logic method for the optimal location and sizing of DG.
The optimal placement of DG is necessary to improve the reliability and stability. Proposed method is
tested by considering IEEE 33bus system data. The Fuzzy logic method includes a fuzzy inference system
(FIS) containing a set of rules which are considered to determine the DG placement suitability index of
each node in the distribution system. The optimal sizing of DG unit is obtained with the help of
mathematical expressions.
As power factor falls below unity the current
in the system increases with the following effects: I
2R power
loss increases in cables and windings leading to overheating
and consequent reduction in equipment life; cost incurred by
power company increases and efficiency as a whole suffers
because more of the input is absorbed in meeting losses.
Distribution losses cost the utilities a very big amount of profit
and reduce life of equipment. The system is considered as
efficient when the loss level is low. So, attempts at power loss
minimization in order to reduce electricity cost, and improve
the efficiency of distribution systems are continuously made.
This paper investigates the losses in a 34-bus distribution
system and how the installation of capacitors at some points in
the system can significantly reduce losses in circuits and cables,
ensure that the rated voltage is applied to motors, lamps, etc, to
obtain optimum performance, ensure maximum power output
of transformers is utilized and not used in making-up losses,
enables existing transformers to carry additional load without
overheating or the necessity of capital cost of new
transformers, and achieve the financial benefits which will
result from lower maximum demand charges
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.
Efficient Optimal Sizing And Allocation Of Capacitors In Radial Distribution ...IDES Editor
A distribution system is an interface between the
bulk power system and the consumers. The radial distribution
system is popular among these because of its low cost and
simple design. The voltage instability in the power system is
characterized by a monotonic voltage drop, which is slow at
first and becomes abrupt after some time when the system is
unable to meet the increasing power demand. Therefore to
overcome these problems capacitors are used. The installation
of the shunt capacitors on the radial distribution system is
essential for power flow control, improving system stability,
pf correction, voltage profile management and losses
minimization. But the placement of the capacitors with
appropriate size is always a challenge. Therefore for this
purpose, in this paper along with Differential Evolution (DE)
Algorithm, Dimension Reducing Distribution Load Flow
(DRDLF) is used. This load flow identifies the location of the
capacitors and the Differential Algorithm determines the size
of the capacitors such that the cost of the energy loss and the
capacitor to be minimum. In this problem the installation
cost of the capacitors is also included. The above method is
tested on IEEE 69 bus system and was found to be better
compared to other methods like Genetic Algorithm and PSO
Optimum reactive power compensation for distribution system using dolphin alg...IJECEIAES
The distribution system represents the connection between the consumers and entire power network. The radial structure is preferred for distribution system due to its simple design and low cost. It suffers from problems of rising power losses higher than the transmission system and voltage drop. One of the important solutions to evolve the system voltage profile and to lower system losses is the reactive power compensation which is based on the optimum choice of position and capacitor size in the network. Different models of loads such as constant power (P), constant current (I), constant impedance (Z), and composite (ZIP) are implemented with comparisons among them in order to identify the most effective load type that produces the optimal settlement for minimization loss reduction, voltage profile enhancement and cost savings. Dolphin Optimization Algorithm (DOA) is applied for selecting the sizes and locations of capacitors. Two case studies (IEEE 16-bus and 33-bus) are employed to evaluate the different load models with optimal reactive power compensation. The results show that ZIP model is the best to produce the optimal solution for capacitors position and sizes. Comparison of results with literature works shows that DOA is the most robust among the other algorithms.
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.
Dual technique of reconfiguration and capacitor placement for distribution sy...IJECEIAES
Radial Distribution System (RDS) suffer from high real power losses and lower bus voltages. Distribution System Reconfiguration (DSR) and Optimal Capacitor Placement (OCP) techniques are ones of the most economic and efficient approaches for loss reduction and voltage profile improvement while satisfy RDS constraints. The advantages of these two approaches can be concentrated using of both techniques together. In this study two techniques are used in different ways. First, the DSR technique is applied individually. Second, the dual technique has been adopted of DSR followed by OCP in order to identify the technique that provides the most effective performance. Three optimization algorithms have been used to obtain the optimal design in individual and dual technique. Two IEEE case studies (33bus, and 69 bus) used to check the effectiveness of proposed approaches. A Direct Backward Forward Sweep Method (DBFSM) has been used in order to calculate the total losses and voltage of each bus. Results show the capability of the proposed dual technique using Modified Biogeography Based Optimization (MBBO) algorithm to find the optimal solution for significant loss reduction and voltage profile enhancement. In addition, comparisons with literature works done to show the superiority of proposed algorithms in both techniques.
Optimal Siting of Distributed Generators in a Distribution Network using Arti...IJECEIAES
Distributed generation (DG) sources are being installed in distribution networks worldwide due to their numerous advantages over the conventional sources which include operational and economical benefits. Random placement of DG sources in a distribution network will result in adverse effects such as increased power loss, loss of voltage stability and reliability, increase in operational costs, power quality issues etc. This paper presents a methodology to obtain the optimal location for the placement of multiple DG sources in a distribution network from a technical perspective. Optimal location is obtained by evaluating a global multi-objective technical index (MOTI) using a weighted sum method. Clonal selection based artificial immune system (AIS) is used along with optimal power flow (OPF) technique to obtain the solution. The proposed method is executed on a standard IEEE-33 bus radial distribution system. The results justify the choice of AIS and the use of MOTI in optimal siting of DG sources which improves the distribution system efficiency to a great extent in terms of reduced real and reactive power losses, improved voltage profile and voltage stability. Solutions obtained using AIS are compared with Genetic algorithm (GA) and Particle Swarm optimization (PSO) solutions for the same objective function.
Improvement of voltage profile for large scale power system using soft comput...TELKOMNIKA JOURNAL
In modern power system operation, control, and planning, reactive power as part of power system component is very important in order to supply electrical load such as an electric motor. However, the reactive current that flows from the generator to load demand can cause voltage drop and active power loss. Hence, it is essential to install a compensating device such as a shunt capacitor close to the load bus to improve the voltage profile and decrease the total power loss of transmission line system. This paper presents the application of a genetic algorithm (GA), particle swarm optimization (PSO), and artificial bee colony (ABC)) to obtain the optimal size of the shunt capacitor where those capacitors are located on the critical bus. The effectiveness of the proposed technique is examined by utilizing Java-Madura-Bali (JAMALI) 500 kV power system grid as the test system. From the simulation results, the PSO and ABC algorithms are providing satisfactory results in obtaining the capacitor size and can reduce the total power loss of around 15.873 MW. Moreover, a different result is showed by the GA approach where the power loss in the JAMALI 500kV power grid can be compressed only up to 15.54 MW or 11.38% from the power system operation without a shunt capacitor. The three soft computing techniques could also maintain the voltage profile within 1.05 p.u and 0.95 p.u.
Network loss reduction and voltage improvement by optimal placement and sizin...nooriasukmaningtyas
Minimization of real power loss and improvement of voltage authenticity of
the network are amongst the key issues confronting power systems owing to
the heavy demand development problem, contingency of transmission and
distribution lines and the financial costs. The distributed generators (DG) has
become one of the strongest mitigating strategies for the network power loss
and to optimize voltage reliability over integration of capacitor banks and
network reconfiguration. This paper introduces an approach for the
optimizing the placement and sizes of different types of DGs in radial
distribution systems using a fine-tuned particle swarm optimization (PSO).
The suggested approach is evaluated on IEEE 33, IEEE 69 and a real
network in Malaysian context. Simulation results demonstrate the
productiveness of active and reactive power injection into the electric power
system and the comparison depicts that the suggested fine-tuned PSO
methodology could accomplish a significant reduction in network power loss
than the other research works.
Implementation of a grid-tied emergency back-up power supply for medium and l...IJECEIAES
Emergency back-up power supply units are necessary in case of grid power shortage, considerably poor regulation and costly establishment of a power system facility. In this regard, power electronic converters based systems emerge as consistent, properly controlled and inexpensive electrical energy providers. This paper presents an implemented design of a grid-tied emergency back-up power supply for medium and low power applications. There are a rectifier-link boost derived DC-DC battery charging circuit and a 4-switch push-pull power inverter (DC-AC) circuit, which are controlled by pulse width modulation (PWM) signals. A changeover relay based transfer switch controls the power flow towards the utility loads. During off-grid situations, loads are fed power by the proposed system and during on-grid situations, battery is charged by an AC-link rectifier-fed boost converter. Charging phenomenon of the battery is controlled by a relay switched protection circuit. Laboratory experiments are carried out extensively for different loads. Power quality assessments along with back-up durations are recorded and analyzed. In addition, a cost allocation affirms the economic feasibility of the proposed framework in case of reasonable consumer applications. The test-bed results corroborate the reliability of the research work.
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OPTIMAL PLACEMENT AND SIZING OF CAPACITOR BANKS BASED ON VOLTAGE PROFILE AND LOSSES AND EFFECTS OF DG
1. Optimal Placement and Sizing of Capacitor Banks
Based on Voltage Profile and Losses in Radial
Distribution System and Effects of DG Addition
By
Prashanta Sarkar (11PEE010)
M.Tech,Power System
Supervisors
Saheli Ray & Dr. Subhadeep Bhattacharjee
DEPARTMENT OF ELECTRICAL ENGINEERING
NATIONAL INSTITUTE OF TECHNOLOGY AGARTALA
MAY- 2013
1
7. Optimal capacitor placement using GA in ETAP
Simulating the system in ETAP 38 no. of capacitor can be placed for OCP
Min voltage (%)
Min voltage(%) before OCP Min voltage(%) after OCP
93.01 96.41
Max voltage (%)
Max voltage(%) before OCP Max voltage(%) after OCP
98.45 100.06
Power losses in
…….. KW
Power losses in KW before
OCP
Power losses in KW after
OCP
393 325
Capacitor cost($)
----------------- 1260000.00
Cost of real power loss
($)
Cost of real power loss before
OCP
Cost of real power loss after
OCP
1205 1009
Benefit($/year)
Benefit($/year) after OCP Benefit($/year) after OCP
----------------------- 118981.00
7
8. Accumulative profit of the total planning period gives a profit of 1105820.00 $.
Voltage profile between optimal capacitor placements and uncompensated system
8
9. MANUAL PLACEMENT OF CAPACITOR
Urge for manual capacitor placement
Placing of 2 capacitor banks at bus no 10, 58 of 700,1400 KVAR rating
9
10. Placing of 3 capacitor banks at bus no 16, 52 & 58 of 650,800 & 600 KVAR
Placing of 4 capacitor banks at bus no 10,16, 52 & 58 of 500,200,700 & 600
KVAR
10
11. Placing of 5 capacitor banks at bus no 10,16, 47 ,52 & 58 of 550,100,550,450 & 300
KVAR
Voltage profile between all the cases of capacitor banks placements and uncompensated
system
11
12. Comparison between multiple capacitor bank placements
12
Element
2 capacitor
bank
3 capacitor bank 4 capacitor bank 5 capacitor bank Un
Compensated
system
Min
voltage (%)
95.01 95.00 95.00 95.00 93.01
Max
voltage (%)
98.87 98.85 98.85 98.84 98.45
Active Power
losses (KW)
366 KW 367 KW 364 KW 364 KW 393 KW
Reactive Power
losses (KVAR)
754 KVAR 747 KVAR 743 KVAR 741 KVAR 806 KVAR
13. COMPENSATION USING CAPACITOR BANKS & DG
Placing of 5 capacitor banks at bus no 10,16, 47 ,52 & 58 of 550,100,550,450 &
300 KVAR & 3 DG at bus no. 21,42 & 56 of 0.5 MW Rating
13
14. Placing of 5 capacitor banks at bus no 10,16, 47 ,52 & 58 of
550,100,550,450 & 300 KVAR & 3 DG at bus no. 21,42 & 56 of 1 MW
14
16. Voltage & Power Loss comparisons with Capacitor
Banks
& DG
16
Element
5 capacitor bank & 3
DG of 0.5 MW rating
5 capacitor bank & 3 DG of 1
MW rating
Min voltage(%) 96.09 97.04
Max voltage(%) 99.10 99.34
Active Power losses (KW) 261 KW 197 KW
Reactive Power losses (KVAR) 570 KVAR 465 KVAR
17. Conclusion
The study of OCP in 60 bus radial distribution system is helpful
in long term investment.
Manual placement of capacitor may result lower investment .
The compensation of reactive power is limited to some
extent, but for good solution of optimization both active and
reactive power compensation is essential.
DG in the system may resolve many other issues (power
islanding, stability).
17
18. Future scope
Implementing a switching technology for exact
combination of DG and capacitor bank.
Soft computing technique to determine DG & capacitor …
ratings.
Selection of DG technology.
18
19. Publication
Prashanta Sarkar, Soumesh Chatterjee, Saheli Ray, Optimal Placement
of Capacitor for Voltage Support and Minimizing Overall Cost in
Radial Distribution System, International Journal of Computer Applications
(0975 – 8887) Volume 65– No.2, March 2013
19
20. Reference
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[2] Pravin Chopade and Dr. Marwan Bikdash “Minimizing Cost and Power loss by
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IEEE,pp.24-29.
[3] H. Omidi, B. Mozafari, A. Parastar, M.A. Khaburi, “Voltage Stability Margin
Improvement using Shunt Capacitors and Active and Reactive Power
Management”,978-1-4244-4509-7/09, pp 1 - 5.
[4] Narain G. Hingoranl, Laszlo Gyugyi, Understanding Facts, 0-7803-3455-
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[5] Aoki k, Ichimori T, Kanezashi M. (1985), “Normal state optimal load allocation in
distribution systems”, IEEE Trans Power Delivery, Volume 3(issue 1), pp. 147-155.
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21. [7] Soumesh Chatterjee, Sharmistha Sharma, “Advantage of DG To Mitigate Voltage
Collapse over Facts Devices”, International Journal of Engineering Research and
Applications; Vol. 2, Issue6, November- December 2012, pp.1253-1257.
[8] H. Lee Willis, “Analytical methods and rules of thumb for modeling DG-
distribution interaction”, 0-7803-6420-1/00,IEEE,pp. 1643-1644.
[9] IEEE Recommended Practices and Requirements for Harmonic Control in
Electrical Power Systems , IEEE Std. 519-1992, 1993.
[10] Y. Alinejad - Beromi, M. Sedighizadeh, M. R. Bayat and M. E. Khodayar,“Using
genetic algoritm for distributed generation allocation to reduce losses and improve
voltage profile”, UPEC 2007 – 954.pp. 1-6.
[11] R. Srinivasa Rao and S. V. L. Narasimham, “Optimal Capacitor Placement in a
Radial Distribution System using Plant Growth Simulation Algorithm”,World
Academy of Science, Engineering and Technology 21 2008.pp 715-722.
21
22. [12] Gunnet Kour, Dr. G.S Brar & Dr. Jaswanti , “Optimal placement of static var
compensators in power system”, IJEST, vol. 4 No. 05 May 2012, pp. 2030-2036
[13]Mohammad Hadi Molaei Ardakani, Mohammad Zarei Mahmud Abadi,
Mohammad Hossein Zabihi Mahmud Abadi and Azim khodadadi,“Distributed
Generation and Capacitor Banks Placement in Order to Achieve the Optimal Real
Power losses using GA”, IJCST Vol. 2, Issue 4, Oct . - Dec. 2011,pp. 400-404.
[14] B.F. Wollenberg, “Transmission system reactive power compensation”, IEEE
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22