This paper based on review of load flow analysis of radial distribution system. The
problem on unbalancing of reactive power is in single phase and three phases. Therefore to improve &
enhancing voltage profile and stability of the existing power system, load flow analysis is alternative
solution. Here is review on different approaches by different author’s for load flow analysis in three phase
radial distribution system to improve voltage stability and to minimize the transmission line losses.
Different optimization techniques may be use to identify as well as applied in three phase radial
distribution system with analysis of different authors review and based on merits and demerits of radial
distribution system. Local search optimization is also described based on this review.
Power System Problems in Teaching Control Theory on Simulinkijctcm
This experiment demonstrates to engineering students that control system and power system theory are not orthogonal, but highly interrelated. It introduces a real-world power system problem to enhance time domain State Space Modelling (SSM) skills of students. It also shows how power quality is affected with real-world scenarios. Power system was modeled in State Space by following its circuit topology in a bottom-up fashion. At two different time instances of the power generator sinusoidal wave, the transmission line was switched on. Fourier transform was used to analyze resulting line currents. It validated the harmonic components, as expected, from power system theory. Students understood the effects of switching transients at various times on supply voltage sinusoid within control theory and learned time domain analysis. They were surveyed to gauge their perception of the project. Results from a before/after assessment analyzed usingT-Tests showed a statistically significant enhanced learning in SSM.
Congestion Management using Optimal Choice and Allocation of FACTS Controllersidescitation
This paper concerns the optimal choice and
allocation of FACTS (Flexible AC Transmission Systems)
devices in multi-machine power system using genetic
algorithm. The objective is to improve the system loadability
and the voltage stability. Using the proposed method, the
locations of the FACTS devices, their types and rated values
are optimized simultaneously. Different kinds of FACTS
devices are simulated in this study: Thyristor Controlled
Series Compensator (TCSC) and Static Var Compensator
(SVC). The proposed algorithm is an effective and practical
method for the choice and allocation of FACTS devices in
large power systems.
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.
Analysis of the Use of Universal Distribution Factors in SEC Power Gridresearchinventy
Distribution factors have been extensively used in many power system analysis and planning studies. In recent power system studies, the AC distribution factors are insensitive to the operating point and relatively sensitive at certain degree to changes in network topology. These factors are linear approximations of sensitivities of variables with various inputs. This paper presents the calculation of the universal distribution factors (UDF’s) applies them on several practical scenarios of Saudi Electricity Company (SEC) power grid. The results are analyzed and evaluated considering various system conditions of SEC load. The results show that the accuracy of the used approach is acceptable compared with exact method. This is practically beneficial to SEC in computing its grid complex power flows using UDF's at the base case without the need to recalculate UDF’s which save efforts and time.
Power System Problems in Teaching Control Theory on Simulinkijctcm
This experiment demonstrates to engineering students that control system and power system theory are not orthogonal, but highly interrelated. It introduces a real-world power system problem to enhance time domain State Space Modelling (SSM) skills of students. It also shows how power quality is affected with real-world scenarios. Power system was modeled in State Space by following its circuit topology in a bottom-up fashion. At two different time instances of the power generator sinusoidal wave, the transmission line was switched on. Fourier transform was used to analyze resulting line currents. It validated the harmonic components, as expected, from power system theory. Students understood the effects of switching transients at various times on supply voltage sinusoid within control theory and learned time domain analysis. They were surveyed to gauge their perception of the project. Results from a before/after assessment analyzed usingT-Tests showed a statistically significant enhanced learning in SSM.
Congestion Management using Optimal Choice and Allocation of FACTS Controllersidescitation
This paper concerns the optimal choice and
allocation of FACTS (Flexible AC Transmission Systems)
devices in multi-machine power system using genetic
algorithm. The objective is to improve the system loadability
and the voltage stability. Using the proposed method, the
locations of the FACTS devices, their types and rated values
are optimized simultaneously. Different kinds of FACTS
devices are simulated in this study: Thyristor Controlled
Series Compensator (TCSC) and Static Var Compensator
(SVC). The proposed algorithm is an effective and practical
method for the choice and allocation of FACTS devices in
large power systems.
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.
Analysis of the Use of Universal Distribution Factors in SEC Power Gridresearchinventy
Distribution factors have been extensively used in many power system analysis and planning studies. In recent power system studies, the AC distribution factors are insensitive to the operating point and relatively sensitive at certain degree to changes in network topology. These factors are linear approximations of sensitivities of variables with various inputs. This paper presents the calculation of the universal distribution factors (UDF’s) applies them on several practical scenarios of Saudi Electricity Company (SEC) power grid. The results are analyzed and evaluated considering various system conditions of SEC load. The results show that the accuracy of the used approach is acceptable compared with exact method. This is practically beneficial to SEC in computing its grid complex power flows using UDF's at the base case without the need to recalculate UDF’s which save efforts and time.
Predicting Post Outage Transmission Line Flows using Linear Distribution FactorsDr. Amarjeet Singh
In order to design and implement preventive
and remedial actions, a continuous performance of fast
security analysis is imperative amid outages of system
components. Following the contingency of a system
component, State estimation and Load flow techniques
are the two popular techniques used to determine
system state variables leading to estimation of flows,
losses and violations in nodal voltages and transmission
line flows. But the dynamic state and complexity of the
system requires faster means of estimations which can
be achieved by linear distribution factors. The use of
Distribution factors in form of Power Transfer
Distribution Factors (PTDF) and Line Outage
Distribution Factors (LODF) which are transmission
line sensitivities with respect to active power exchanges
between buses and transmission line outages offer an
alternative to these two techniques being linear,
quicker, and non-iterative. Following the estimation of
the linear distribution factors from a reference
operating point (base case) and contingency cases
involving line outage, generator output variation and
outage of a Six bus network using Matlab programs,
the results show that by means of Linear Distribution
factors quick estimates of post outage line flows can be
made which match flow results obtained from DC load
flow analysis.
Estimation of Weekly Reference Evapotranspiration using Linear Regression and...IDES Editor
The study investigates the applicability of linear
regression and ANN models for estimating weekly reference
evapotranspiration (ET0) at Tirupati, Nellore, Rajahmundry,
Anakapalli and Rajendranagar regions of Andhra Pradesh.
The climatic parameters influencing ET0 were identified
through multiple and partial correlation analysis. The
sunshine, temperature, wind velocity and relative humidity
mostly influenced the study area in the weekly ET0 estimation.
Linear regression models in terms of the climatic parameters
influencing the regions and, optimal neural network
architectures considering these climatic parameters as inputs
were developed. The models’ performance was evaluated with
respect to ET0 estimated by FAO-56 Penman-Monteith method.
The linear regression models showed a satisfactory
performance in the weekly ET0 estimation in the regions
selected for the present study. The ANN (4,4,1) models,
however, consistently showed a slightly improved performance
over linear regression models.
A Tactical Chaos based PWM Technique for Distortion Restraint and Power Spect...IJPEDS-IAES
The pulse width modulated voltage source inverters (PWM-VSI) dominate in the modern industrial environment. The conventional PWM methods are designed to have higher fundamental voltage, easy filtering and reduced total harmonic distortion (THD). There are number of clustered harmonics around the multiples of switching frequency in the output of conventional sinusoidal pulse width modulation (SPWM) and space vector pulse width modulation (SVPWM) inverters. This is due to their fixed switching frequency while the variable switching frequency makes the filtering very complex. Random carrier PWM (RCPWM) methods are the host of PWM methods, which use randomized carrier frequency and result in a harmonic profile with well distributed harmonic power (no harmonic possesses significant magnitude and hence no filtering is required). This paper proposes a chaos-based PWM (CPWM) strategy, which utilizes a chaotically changing switching frequency to spread the harmonics continuously to a wideband and to reduce the peak harmonics to a great extent. This can be an effective way to suppress the current harmonics and torque ripple in induction motor drives. The proposed CPWM scheme is simulated using MATLAB / SIMULINK software and implemented in three phase voltage source inverter (VSI) using field programmable gate array (FPGA).
Robust Evolutionary Approach to Mitigate Low Frequency Oscillation in a Multi...IDES Editor
This paper proposes a new optimization algorithm
known as Modified Shuffled Frog Leaping Algorithm (MSFLA)
for optimal designing of PSSs controller. The design problem
of the proposed controller is formulated as an optimization
problem and MSFLA is employed to search for optimal
controller parameters. An eigenvalue based objective function
reflecting the combination of damping factor and damping
ratio is optimized for different operating conditions. The
proposed approach is applied to optimal design of multimachine
power system stabilizers. Three different power
systems, A Single Machine Infinite Bus (SMIB), four-machine
of Kundur and ten-machine New England systems are
considered. The obtained results are evaluated and compared
with other results obtained by Genetic Algorithm (GA).
Eigenvalue analysis and nonlinear system simulations assure
the effectiveness and robustness of the proposed controller in
providing good damping characteristic to system oscillations
and enhancing the system dynamic stability under different
operating conditions and disturbances.
The effect of load modelling on phase balancing in distribution networks usin...IJECEIAES
Due to the unequal loads in phases and different customer consumption, the distribution network is unbalanced. Unbalancing in the distribution network, in addition to increasing power losses, causes unbalancing in voltages and increases operating costs. To reduce this unbalancing, various methods and algorithms have been presented. In most studies and even practical projects due to lack of information about the network loads, load models such as constant power model, constant current or constant impedance are used to model the loads. Due to the changing and nonlinear behaviours of today's loads, these models cannot show results in accordance with reality. This paper while introducing an optimal phase-balancing method, discusses the effect of load modelling on phase balancing studies. In this process the re-phasing method for balancing the network and the harmony search algorithm for optimizing the phase displacement process have been used. The simulation was carried out on an unbalanced distribution network of 25 buses. The results show well the effect of this comprehensive modelling on phase balancing studies. It also shows that in the re-phasing method for balancing the network and in the absence of a real load model, the use of which model offers the closest answer to optimal solutions.
Cross-layer Design of an Asymmetric Loadpower Control Protocol in Ad hoc Netw...IDES Editor
Cross-layer design is important in wireless ad hoc
network and the power control methods. Power control is the
intelligent selection of transmit power in a communication to
achieve the better performance within the system. Cross-layer
is used to sharing the information between the layers. CLD
using LOADPOWER (LOADPOW) control protocol is reduce
the overall end-end delay in transmission power. So many
power control schemes are dealt in network layer but this
work Power control protocol was done in MAC layer and it
plays a vital role. A MAC approach to power control only does
a local optimization whereas network layer is capable of a
global optimization. Simulation was done in NS-2 simulator
with the performance metrics as throughput, and energy
consumption and end-end delay. The key concept is to improve
the throughput, saves energy by sending all the packets with
optimal transmit power according to the network load,
transmission power was given, when the network load is low,
higher transmission power gives lower end-end delay and viceversa.
Attaining Augmented Overhaul and Profit Maximization in Cognitive Wireless In...paperpublications3
Abstract: With the increase in wireless communication, the necessary resources needed are getting scarcer. One of the resources is a spectrum. The electromagnetic spectrum is a natural resource that cannot be produced or destroyed. They should be used optimally. In older days, the spectrum is divided into portions and each portion is used by separate organizations. This is called static spectrum allocation. But, the organizations do not use the spectrum, fully both in case of time and in the case of bandwidth. The scarce resource spectrum is wasted. So, dynamic spectrum allocation is introduced. In this technique, the communication is done through the bandwidth which is free. So, wastage of bandwidth is reduced partially. In 2011, CWMN was introduced. In this type of network, there are two types of users. Primary licensed users, and secondary unlicensed users.
Abstract: In this paper three phase load flow analysis on four bus system using Mi Power software is reformed. As power system never operates under steady state condition therefore single phase load flow analysis doesn’t provide accurate results. Hence three phase load flow analysis which can be performed under different contingencies, provide data when system is unbalanced. The system is analysing on the basis of parameter values in MW & MVAR for transmission line and generator buses. Harmonic values of resistance, reactance, and susceptance can predict the condition of small and large kind of system network. This type of analysis is useful for solving the power flow problem in different power systems which will useful to calculate the unknown parameter.
A New Under-Frequency Load Shedding Method Using the Voltage Electrical Dista...IJAEMSJORNAL
This paper proposes a method for determining location to shed the load in order to recover the frequency back to the allowable range. Prioritize distribution of the load shedding at load bus positions based on the voltage electrical distance between the outage generator and the loads. The nearer the load bus from the outage generator is, the sooner the load bus will shed and vice versa. Finally, by selecting the rate of change of generation active power, rate of change of active power of load, rate of change of frequency, rate of change of branches active power and rate of change of voltage in the system as the input to an Artificial Neural Network, the generators outage, the load shedding bus are determined in a short period of time to maintain the stability of the system. With this technique, a large amount of load shedding could be avoided, hence, saved from economic losses. The effectiveness of the proposed method tested on the IEEE 39 Bus New England has demonstrated the effectiveness of this method.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Power System State Estimation - A ReviewIDES Editor
The aim of this article is to provide a comprehensive
survey on power system state estimation techniques. The
algorithms used for finding the system states under both static
and dynamic state estimations are discussed in brief. The
authors are opinion that the scope of pursuing research in the
area of state estimation with PMU and SCADA measurements
is the state of the art and timely.
IMPROVE ENERGY EFFICIENCY ROUTING IN WSN BY USING AUTOMATAijasuc
Low power and limited processing are characteristics of nodes in Wireless sensor networks. Therefore, optimal
consumption of energy for WSN protocols seems essential. In a number of WSN applications, sensor nodes sense data
periodically from environment and transfer it to the sink. Because of limitation in energy and selection of best route,
for the purpose of increasing network remaining energy a node with most energy level will be used for transmission
of data. The most part of energy in nodes is wasted on radio transmission; thus decreasing number of transferred
packets in the network will result in increase in node and network lifetimes. In algorithms introduced for data
transmission in such networks up to now, a single route is used for data transmissions that results in decrease in
energy of nodes located on this route which in turn results in increasing of remaining energy. In this paper a new
method is proposed for selection of data transmission route that is able to solve this problem. This method is based
on learning automata that selects the route with regard to energy parameters and the distance to sink. In this method
energy of network nodes finishes rather simultaneously preventing break down of network into two separate parts.
This will result in increased lifetime. Simulation results show that this method has been very effective in increasing of
remaining energy and it increases network lifetime.
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.
Reliability Prediction of Port Harcourt Electricity Distribution Network Usin...theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.
The International Journal of Engineering & Science would take much care in making your article published without much delay with your kind cooperation
Evolution of automobile production has been driven by competitive materials. Light-weight alloys are
continuously developed as most sustainable for automotive sector. Aluminum is being used as a successful
material in automotive applications due to its low weight, higher strength, good corrosion resistance and
formability to suit different design requirements. Since aluminium has the potential to be used as replacement
of the current automotive materials like steel and cast iron, its demand has increased greatly. In a further
development aluminium metal matrix composites (MMCs) were developed and these have improved wear
resistance, high fatigue strength and better thermal stability, as compared with those of aluminum. In
automobile sector, wear is a major problem, specifically in engineering assemblies and materials used for this
purpose should have good tribological properties. To this effect Al MMCs have attracted significant attraction
since they have improved wear resistance. Metal matrix composites are usually produced with secondary
particles in the form of either continuous or discontinuous fiber or particles. From the viewpoint of good
mechanical properties aluminium matrix is generally reinforced by oxide or carbide, nitride or boride
ceramics (like Al2O3, SiC, Si3N4, TiC, TiB2. Reinforcement of the matrix with only one of these
reinforcements may not yield desired properties and the matrix may need to be augmented with other
reinforcements also. Graphite and SiC are the reinforcements used widely in automotive industries to achieve
better mechanical and tribological properties and dampen the vibrations with less operational costs.
Aluminum metal matrix composite can be produced by various methods including powder metallurgy,
conventional casting technology, etc. Among the casting methods semisolid processing of composites yields
better mechanical strength. This review deals with various manufacturing methods of metal matrix composites
processing and insight on semisolid processing and its process parameters.
In spite of the development of aversion strategies, phishing remains an essential risk even after the
primary countermeasures and in view of receptive URL blacklisting. This strategy is insufficient because of the
short lifetime of phishing websites. In order to overcome this problem, developing a real-time phishing website
detection method is an effective solution. This research introduces the PrePhish algorithm which is an automated
machine learning approach to analyze phishing and non-phishing URL to produce reliable result. It represents that
phishing URLs typically have couple of connections between the part of the registered domain level and the path
or query level URL. Using these connections URL is characterized by inter-relatedness and it estimates using
features mined from attributes. These features are then used in machine learning technique to detect phishing
URLs from a real dataset. The classification of phishing and non-phishing website has been implemented by
finding the range value and threshold value for each attribute using decision making classification. This method is
also evaluated in Matlab using three major classifiers SVM, Random Forest and Naive Bayes to find how it works
on the dataset assessed
Predicting Post Outage Transmission Line Flows using Linear Distribution FactorsDr. Amarjeet Singh
In order to design and implement preventive
and remedial actions, a continuous performance of fast
security analysis is imperative amid outages of system
components. Following the contingency of a system
component, State estimation and Load flow techniques
are the two popular techniques used to determine
system state variables leading to estimation of flows,
losses and violations in nodal voltages and transmission
line flows. But the dynamic state and complexity of the
system requires faster means of estimations which can
be achieved by linear distribution factors. The use of
Distribution factors in form of Power Transfer
Distribution Factors (PTDF) and Line Outage
Distribution Factors (LODF) which are transmission
line sensitivities with respect to active power exchanges
between buses and transmission line outages offer an
alternative to these two techniques being linear,
quicker, and non-iterative. Following the estimation of
the linear distribution factors from a reference
operating point (base case) and contingency cases
involving line outage, generator output variation and
outage of a Six bus network using Matlab programs,
the results show that by means of Linear Distribution
factors quick estimates of post outage line flows can be
made which match flow results obtained from DC load
flow analysis.
Estimation of Weekly Reference Evapotranspiration using Linear Regression and...IDES Editor
The study investigates the applicability of linear
regression and ANN models for estimating weekly reference
evapotranspiration (ET0) at Tirupati, Nellore, Rajahmundry,
Anakapalli and Rajendranagar regions of Andhra Pradesh.
The climatic parameters influencing ET0 were identified
through multiple and partial correlation analysis. The
sunshine, temperature, wind velocity and relative humidity
mostly influenced the study area in the weekly ET0 estimation.
Linear regression models in terms of the climatic parameters
influencing the regions and, optimal neural network
architectures considering these climatic parameters as inputs
were developed. The models’ performance was evaluated with
respect to ET0 estimated by FAO-56 Penman-Monteith method.
The linear regression models showed a satisfactory
performance in the weekly ET0 estimation in the regions
selected for the present study. The ANN (4,4,1) models,
however, consistently showed a slightly improved performance
over linear regression models.
A Tactical Chaos based PWM Technique for Distortion Restraint and Power Spect...IJPEDS-IAES
The pulse width modulated voltage source inverters (PWM-VSI) dominate in the modern industrial environment. The conventional PWM methods are designed to have higher fundamental voltage, easy filtering and reduced total harmonic distortion (THD). There are number of clustered harmonics around the multiples of switching frequency in the output of conventional sinusoidal pulse width modulation (SPWM) and space vector pulse width modulation (SVPWM) inverters. This is due to their fixed switching frequency while the variable switching frequency makes the filtering very complex. Random carrier PWM (RCPWM) methods are the host of PWM methods, which use randomized carrier frequency and result in a harmonic profile with well distributed harmonic power (no harmonic possesses significant magnitude and hence no filtering is required). This paper proposes a chaos-based PWM (CPWM) strategy, which utilizes a chaotically changing switching frequency to spread the harmonics continuously to a wideband and to reduce the peak harmonics to a great extent. This can be an effective way to suppress the current harmonics and torque ripple in induction motor drives. The proposed CPWM scheme is simulated using MATLAB / SIMULINK software and implemented in three phase voltage source inverter (VSI) using field programmable gate array (FPGA).
Robust Evolutionary Approach to Mitigate Low Frequency Oscillation in a Multi...IDES Editor
This paper proposes a new optimization algorithm
known as Modified Shuffled Frog Leaping Algorithm (MSFLA)
for optimal designing of PSSs controller. The design problem
of the proposed controller is formulated as an optimization
problem and MSFLA is employed to search for optimal
controller parameters. An eigenvalue based objective function
reflecting the combination of damping factor and damping
ratio is optimized for different operating conditions. The
proposed approach is applied to optimal design of multimachine
power system stabilizers. Three different power
systems, A Single Machine Infinite Bus (SMIB), four-machine
of Kundur and ten-machine New England systems are
considered. The obtained results are evaluated and compared
with other results obtained by Genetic Algorithm (GA).
Eigenvalue analysis and nonlinear system simulations assure
the effectiveness and robustness of the proposed controller in
providing good damping characteristic to system oscillations
and enhancing the system dynamic stability under different
operating conditions and disturbances.
The effect of load modelling on phase balancing in distribution networks usin...IJECEIAES
Due to the unequal loads in phases and different customer consumption, the distribution network is unbalanced. Unbalancing in the distribution network, in addition to increasing power losses, causes unbalancing in voltages and increases operating costs. To reduce this unbalancing, various methods and algorithms have been presented. In most studies and even practical projects due to lack of information about the network loads, load models such as constant power model, constant current or constant impedance are used to model the loads. Due to the changing and nonlinear behaviours of today's loads, these models cannot show results in accordance with reality. This paper while introducing an optimal phase-balancing method, discusses the effect of load modelling on phase balancing studies. In this process the re-phasing method for balancing the network and the harmony search algorithm for optimizing the phase displacement process have been used. The simulation was carried out on an unbalanced distribution network of 25 buses. The results show well the effect of this comprehensive modelling on phase balancing studies. It also shows that in the re-phasing method for balancing the network and in the absence of a real load model, the use of which model offers the closest answer to optimal solutions.
Cross-layer Design of an Asymmetric Loadpower Control Protocol in Ad hoc Netw...IDES Editor
Cross-layer design is important in wireless ad hoc
network and the power control methods. Power control is the
intelligent selection of transmit power in a communication to
achieve the better performance within the system. Cross-layer
is used to sharing the information between the layers. CLD
using LOADPOWER (LOADPOW) control protocol is reduce
the overall end-end delay in transmission power. So many
power control schemes are dealt in network layer but this
work Power control protocol was done in MAC layer and it
plays a vital role. A MAC approach to power control only does
a local optimization whereas network layer is capable of a
global optimization. Simulation was done in NS-2 simulator
with the performance metrics as throughput, and energy
consumption and end-end delay. The key concept is to improve
the throughput, saves energy by sending all the packets with
optimal transmit power according to the network load,
transmission power was given, when the network load is low,
higher transmission power gives lower end-end delay and viceversa.
Attaining Augmented Overhaul and Profit Maximization in Cognitive Wireless In...paperpublications3
Abstract: With the increase in wireless communication, the necessary resources needed are getting scarcer. One of the resources is a spectrum. The electromagnetic spectrum is a natural resource that cannot be produced or destroyed. They should be used optimally. In older days, the spectrum is divided into portions and each portion is used by separate organizations. This is called static spectrum allocation. But, the organizations do not use the spectrum, fully both in case of time and in the case of bandwidth. The scarce resource spectrum is wasted. So, dynamic spectrum allocation is introduced. In this technique, the communication is done through the bandwidth which is free. So, wastage of bandwidth is reduced partially. In 2011, CWMN was introduced. In this type of network, there are two types of users. Primary licensed users, and secondary unlicensed users.
Abstract: In this paper three phase load flow analysis on four bus system using Mi Power software is reformed. As power system never operates under steady state condition therefore single phase load flow analysis doesn’t provide accurate results. Hence three phase load flow analysis which can be performed under different contingencies, provide data when system is unbalanced. The system is analysing on the basis of parameter values in MW & MVAR for transmission line and generator buses. Harmonic values of resistance, reactance, and susceptance can predict the condition of small and large kind of system network. This type of analysis is useful for solving the power flow problem in different power systems which will useful to calculate the unknown parameter.
A New Under-Frequency Load Shedding Method Using the Voltage Electrical Dista...IJAEMSJORNAL
This paper proposes a method for determining location to shed the load in order to recover the frequency back to the allowable range. Prioritize distribution of the load shedding at load bus positions based on the voltage electrical distance between the outage generator and the loads. The nearer the load bus from the outage generator is, the sooner the load bus will shed and vice versa. Finally, by selecting the rate of change of generation active power, rate of change of active power of load, rate of change of frequency, rate of change of branches active power and rate of change of voltage in the system as the input to an Artificial Neural Network, the generators outage, the load shedding bus are determined in a short period of time to maintain the stability of the system. With this technique, a large amount of load shedding could be avoided, hence, saved from economic losses. The effectiveness of the proposed method tested on the IEEE 39 Bus New England has demonstrated the effectiveness of this method.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Power System State Estimation - A ReviewIDES Editor
The aim of this article is to provide a comprehensive
survey on power system state estimation techniques. The
algorithms used for finding the system states under both static
and dynamic state estimations are discussed in brief. The
authors are opinion that the scope of pursuing research in the
area of state estimation with PMU and SCADA measurements
is the state of the art and timely.
IMPROVE ENERGY EFFICIENCY ROUTING IN WSN BY USING AUTOMATAijasuc
Low power and limited processing are characteristics of nodes in Wireless sensor networks. Therefore, optimal
consumption of energy for WSN protocols seems essential. In a number of WSN applications, sensor nodes sense data
periodically from environment and transfer it to the sink. Because of limitation in energy and selection of best route,
for the purpose of increasing network remaining energy a node with most energy level will be used for transmission
of data. The most part of energy in nodes is wasted on radio transmission; thus decreasing number of transferred
packets in the network will result in increase in node and network lifetimes. In algorithms introduced for data
transmission in such networks up to now, a single route is used for data transmissions that results in decrease in
energy of nodes located on this route which in turn results in increasing of remaining energy. In this paper a new
method is proposed for selection of data transmission route that is able to solve this problem. This method is based
on learning automata that selects the route with regard to energy parameters and the distance to sink. In this method
energy of network nodes finishes rather simultaneously preventing break down of network into two separate parts.
This will result in increased lifetime. Simulation results show that this method has been very effective in increasing of
remaining energy and it increases network lifetime.
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.
Reliability Prediction of Port Harcourt Electricity Distribution Network Usin...theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
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Evolution of automobile production has been driven by competitive materials. Light-weight alloys are
continuously developed as most sustainable for automotive sector. Aluminum is being used as a successful
material in automotive applications due to its low weight, higher strength, good corrosion resistance and
formability to suit different design requirements. Since aluminium has the potential to be used as replacement
of the current automotive materials like steel and cast iron, its demand has increased greatly. In a further
development aluminium metal matrix composites (MMCs) were developed and these have improved wear
resistance, high fatigue strength and better thermal stability, as compared with those of aluminum. In
automobile sector, wear is a major problem, specifically in engineering assemblies and materials used for this
purpose should have good tribological properties. To this effect Al MMCs have attracted significant attraction
since they have improved wear resistance. Metal matrix composites are usually produced with secondary
particles in the form of either continuous or discontinuous fiber or particles. From the viewpoint of good
mechanical properties aluminium matrix is generally reinforced by oxide or carbide, nitride or boride
ceramics (like Al2O3, SiC, Si3N4, TiC, TiB2. Reinforcement of the matrix with only one of these
reinforcements may not yield desired properties and the matrix may need to be augmented with other
reinforcements also. Graphite and SiC are the reinforcements used widely in automotive industries to achieve
better mechanical and tribological properties and dampen the vibrations with less operational costs.
Aluminum metal matrix composite can be produced by various methods including powder metallurgy,
conventional casting technology, etc. Among the casting methods semisolid processing of composites yields
better mechanical strength. This review deals with various manufacturing methods of metal matrix composites
processing and insight on semisolid processing and its process parameters.
In spite of the development of aversion strategies, phishing remains an essential risk even after the
primary countermeasures and in view of receptive URL blacklisting. This strategy is insufficient because of the
short lifetime of phishing websites. In order to overcome this problem, developing a real-time phishing website
detection method is an effective solution. This research introduces the PrePhish algorithm which is an automated
machine learning approach to analyze phishing and non-phishing URL to produce reliable result. It represents that
phishing URLs typically have couple of connections between the part of the registered domain level and the path
or query level URL. Using these connections URL is characterized by inter-relatedness and it estimates using
features mined from attributes. These features are then used in machine learning technique to detect phishing
URLs from a real dataset. The classification of phishing and non-phishing website has been implemented by
finding the range value and threshold value for each attribute using decision making classification. This method is
also evaluated in Matlab using three major classifiers SVM, Random Forest and Naive Bayes to find how it works
on the dataset assessed
To solve the loss of power in the household, we need a tool that is capable of supplying the power
source voltage. One of the tools is the inverter, so the author aims to analyze how the effects of the use of
the appliance inverter if saddled with the burden of energy-saving lamps as lighting in residences. The
method used is by measuring along with an analysis of calculation given load whenever inverter energysaving
lamps with varying power to determine the change in the electrical quantities to be analyzed. This
research reached at the time of getting the highest load of 203W; cos φ light weight using the inverter
much better, reaching 0.93 compared without using an inverter which is just 0.68 as well as current and
load power consumed by the use of the much smaller inverter. For example, only 0,76A and 135,63A
compared to the load current and power without the use of inverters that achieve 1,3A and 185,64W.
Flexible alternating current transmission systems (FACTs) technology opens up new opportunities for
controlling power flow and enhancing the usable capacity of present, as well as new and upgraded lines. These
FACTs device which enables independent control of active and reactive power besides improving reliability and
quality of the supply. This paper describes the real and reactive power flow control through a short transmission
line and then compensated short transmission line with different FACTs devices are used to selection of FACTs
devices for better reactive power compensation with change in line capacitance/shunt capacitance to observe
power flow. Computer simulation by MATLAB/SIMULINK has been used to determining better reactive power.
TCSC, STATCOM, UPFC and SSSC FACTs controller with different capacitance are tested for controlling
reactive power flow.
Pins require very little service and total failure seldom occurs. Wear, pitting, and scoring are the usual troubles
encountered with pins. In this paper, going to apply induction hardening process on pins and its comparison will
be done with existing pins. Different hardening thickness or case depth will be applied and analysis will be done
to interpret the results. Case depth of 1mm, 2mm or 2.5mm will be taken in induction hardening process.
Caterpillar 320dl excavator model is taken for study. Material used for the pins is EN8 grade of steel. And
different material used for the pin for analysis purpose will be bronze alloy, Titanium. The main objective in this
project is to determine the appropriate induction hardening case depth to be used in manufacturing pins.ThreedHiympeenrsmioensh
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stress point and dangerous areas are found by the stress analysis.
Automotive design with economy and safety has been a great challenge to design engineers. The safety of the
passengers and vehicle during vehicle crashes can be ensured to a certain limit by using good bumpers. Bumper is an
important part of vehicle which acts as one of the safety part of vehicle, now a day’s bumper is used in vehicle which
directly connected to chassis of vehicle. So that when accidents are happened the force that transfer to other parts of
vehicle through linkage There is no mechanism to drop that linkage and to absorb that impact forces. So that the
development of a new bumper system by springs. Spring is used to minimize the impact of accidents and it will
resists or absorbs impact forces. The new bumper system will be design in CATIA and structural analysis is done by
ANSYS. For structural analysis of the bumper materials like Glass mat thermoplastics (GMT), carbon fiber
composite and aluminum B390 materials are used.
Cloud computing is a new computing paradigm that, just as electricity was firstly generated at home and
evolved to be supplied from a few utility providers, aims to transform computing into a utility. It is a mapping
strategy that efficiently equilibrates the task load into multiple computational resources in the network based on the
system status to improve performance. The objective of this research paper is to show the results of Hybrid DEGA,
in which GA is implemented after DE
AC - AC power conversions were traditionally done by using thyristor power controllers, phase angle control or by
integral cycle control, but had low PF and other disadvantages. Variable voltage, variable frequency high power conversions
are nowadays use DC link and Matrix converters, with higher efficiency and better regulation. But in situations where only
voltage regulation is required and the circuit need to be simple and less complicated, directed PWM AC-AC converters are
more preferred, due to reduced size and components. This project presents the design and simulation of a new type of AC-AC
converter which can operate as traditional non-inverting buck and boost converters, and inverting buck-boost converter as
well. This converter uses six unidirectional current flowing and bidirectional voltage blocking switches, implemented by six
reverse blocking IGBTs or series MOSFET-diode pairs, two input and output filter capacitors, and one inductor. It has no
shoot-through problem of voltage source (or capacitor) even when all switches are turned-on and therefore; PWM dead times
are not needed resulting in high quality waveforms, and solves the commutation problem without using bulky and lossy RC
snubbers or dedicated soft-commutation strategies. It has smaller switching losses because; only two switches out of six are
switched at high frequency during each half cycle of input voltage, and it can use power MOSFETs as body diode never
conducts, making it immune from MOSFET failure risk..
At present scenario, INCONEL alloy 625 becomes widely used material in aero industry due to its High
tensile, creep, and rupture strength, outstanding fatigue and thermal-fatigue strength, oxidation resistance, and
excellent weld ability properties. In present work, the plates of 50mm×50mm×3mm are modelled and assembled
for v-butt joint using solid works. This model is imported in the FEA software (ANSYS) to carry out the transient
thermal analysis. The analysis is carried out with different combinations of welding parameters such as voltage,
current, velocity, speed and melting efficiency. From the analysis result, the temperature distribution at various
locations around the weld bead is evaluated. From structural analysis result, the distortion of work piece due to the
thermal effect is analysed.
In order to overcome the self-excited vibrations in internal turning (chatter) a new design for boring bar was
introduced, which depends on using the workpiece in supporting the boring bar using intermediate rolling
elements. The system bears the loads under the action of a hydraulic pressure, which at a certain value prove to
have a significant effect on the system chatter tendency.In the present paper, a gear pump driven by a DC motor
system is designed to control the pressure of the supporting hydraulic system. The pump-motor system model was
created in MATLAB/ SIMULINK simulation and then a fuzzy logic control system (FLC) is designed to control
the pressurized oil for keeping it less or equal to 4 bars to save the self-excited vibrations within the desired limits.
The typical three path propagation and anti jamming capability associated with DSSS were carried out
through the combination of Lab VIEW and MATLAB 7.8. At the transmitter, the NRZ data stream is first mapped
into BPSK symbols and then spread-out using different PN code like Hadamard code, Gold or Kasami sequences.
And we see that single user is not total utilization band. Direct Sequence Spread Spectrum (DSSS) techniques are
used same bandwidth Number of user to increase, and we see that better performance. That we can say Direct
Sequence Spread Spectrum techniques is reused to bandwidth. And we can say that in this techniques power loss is
low, anti jamming capability is less and system is more reliable. Furthermore, BPSK-Spreading transceiver should be
analyzed for their performance, multipath scenario and interference whether under AWGN channel which show that
these has been overcome effectively and attain more robust performance, when using direct sequence spread
spectrum.
The climatic conditions are changing with the era to era. Nowadays, to the people climatic conditions are
very annoying and unusual. Throughout the history of human beings, temperature related inconveniences such as
heat stroke, heat rash, frostbite, dehydration, hypothermia, etc. are the major problems and one cannot escape
from these problems. Some of these conditions are led to unfortunate deaths of people. Some technological solutions
made to keep people thermally comfortable such as air conditioning units, are most successful in helping
people in their homes & in cars etc. but not in personal mobility situations. If one wants to move in such type of
climatic conditions, climate adaptable jacket is a very beneficial product. This jacket can naturally keep up the
specific temperature inside the jacket, so as to reduce the temperature; it initiates the fan that is placed inside the
jacket. The design of this jacket gives better protection to the soldiers & navy people who are working in extreme
weather conditions. This jacket allows the user to control and monitor the internal temperature of the jacket
from high to low temperatures, with the use of the thermoelectric effect and displays the results in both GPS &
GSM Modules.
A flywheel is a mechanical device with a significant moment of inertia used as a storage device for
rotational energy. Flywheels resist changes in their rotational speed, which helps steady the rotation of the shaft
when a fluctuating torque is exerted on it by its power source such as a piston-based engine, such as a piston pump,
is placed on it. The flywheel are different types such as solid disk, Spoke type, rim type, tapered type. In solid disk
flywheel type it is provided with hub and disk. Solid disk flywheels are less capable of storing energy. Then spoke
type flywheel are capable of storing more energy with greater moment of inertia than any other type of flywheel.
In this work solid disk, spoke type flywheel are designed by using CATIA software. The spoke type flywheel is
modeled with 6 spokes and 5 spokes with and without taper. Structural analysis and Modal analysis by using
ANSYS software is done to determine the stresses and frequencies respectively by considering the different
materials Cast iron, Aluminum Alloy 6061 & S-glass materials. From the above analysis, the better material for
the flywheel is determined.
Modern trend in power generation is the use of two-stage configuration i.e., allocating a single PV cell
to a converter to produce grid voltage of adequate requirement and then to convert DC to AC voltage for grid
cnnection. Usually, the first stage is a DC-DC boost type converter which is responsible for extracting maximum
power from panel and boosting PV voltage to a value higher than peak of grid voltage. A converter is proposed,
which is derived from an active network based converter, is chosen as the first stage and a five level inverter is
used as the second stage of the configuration. Thus, in overall, the converter used is having high gain and reduced
switching stress. The Inverter used is having the advantage of low filter requirement, reduced stress, EMI and
reduced THD level. A closed loop control of the converter is done to maintain constant output voltage under
varying input voltage. MATLAB R2014a version software is used to simulate the model. The prototype of the
two stage configuration was developed and tested in the laboratory and results were verified using PIC 16F877A.
Transient Stability Assessment and Enhancement in Power SystemIJMER
Power system is subjected to sudden changes in load levels. Stability is an important concept
which determines the stable operation of power system. For the improvement of transient stability the
general methods adopted are fast acting exciters, circuit breakers and reduction in system transfer
reactance. The modern trend is to employ FACTS devices in the existing system for effective utilization
of existing transmission resources. The critical clearing time is a measure to assess transient instability.
Using PSAT, the critical clearing time (CCT) corresponding to various faults are calculated. The most
critical faults were identified using this calculation. The CCT for the critical faults were found to change
with change in operating point. The CCT values are predicted using Artificial Neural Network (ANN) to
study the training effects of ANN. TCSC is selected as the FACTS device for transient stability
enhancement. Particle Swarm Optimization method is used to find the optimal position of TCSC using
the objective function real power loss minimization. The result shows that the technique effectively
increases the transient stability of the system
POWER SYSTEM PROBLEMS IN TEACHING CONTROL THEORY ON SIMULINKijctcm
This experiment demonstrates to engineering students that control system and power system theory are not orthogonal, but highly interrelated. It introduces a real-world power system problem to enhance time domain State Space Modelling (SSM) skills of students. It also shows how power quality is affected with real-world scenarios. Power system was modeled in State Space by following its circuit topology in a bottom-up fashion. At two different time instances of the power generator sinusoidal wave, the transmission line was switched on. Fourier transform was used to analyze resulting line currents. It validated the harmonic components, as expected, from power system theory. Students understood the effects of switching transients at various times on supply voltage sinusoid within control theory and learned time domain analysis. They were surveyed to gauge their perception of the project. Results from a before/after assessment analyzed usingT-Tests showed a statistically significant enhanced learning in SSM.
In power engineering the power flow analysis (also known as load flow study) is an important tool involving numerical analysis applied to a powe r system. This project deals with a model of existing power system using the actual data taking care of all parameters required for the simulation and analysis. With the help of Maharasht ra State Electricity Transmission co. Ltd.,a model of 220KV lines,of Solapur District grid usin g MATLAB software will be modeled. In this project,an algorithm will be used for power f low study and data collection and coding required for modeling. Load flow studies will be ca rried out using Newton Raphson method and voltage profile of buses will be analyzed. New meth od for the improvement of voltage profile will be suggested and analyze using the developed m odel. The optimization techniques include power factor compensation,tap changing,up gradati on of substation,up gradation of line and load shifting will be analyzed. Importance of power flow or Load flow studies is in planning future expansion of power system as well as determi ning the best operation of existing systems. From results of simulation buses with low voltage p rofile will be identified and possible solutions can be suggested.
Power Flow Analysis for Four Buses System by NR Methodijtsrd
Power flow studies provide a systematic mathematical approach for determination of various bus voltages, there phase angle, active and reactive power flows through different branches, generators and loads under steady state condition. In this paper, the purpose of power flow analysis is to determine four bus system power flows. Case studies have been performed on Lawpita Taungoo Kamarnat Hlawga 230kV Line Myanmar . This paper presents a reliable method to meet the requirements by developing a Newton Raphson based load flow calculation program through which control setting of Shunt Compensator can be determined directly. This program computes the voltage magnitude and angle at each bus in a power system under balanced steady state conditions. Real and reactive power flows for all buses, as well as line flow and line losses, are also computed. And then the compensation of shunt capacitor is proposed for load flow analysis and also for overall loss minimization and improvement in system voltage profile. Wint Yu Yu Zaw ""Power Flow Analysis for Four Buses System by NR Method"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23472.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23472/power-flow-analysis-for-four-buses-system-by-nr-method/wint-yu-yu-zaw
Optimization of Power System Problems Methods Algorithms and MATLAB Codes 202...HibaNadhimAmeen
Providing a reliable and secure power and energy system is one of the main
challenges of the new era. The efficient operation of power systems contributes to
decrease in fuel consumption and gas emission, conservation of natural resources,
ensuring sustainability with better planning, and providing cleaner energy. The
evolving modern optimization methods lead to more effective solutions and are
promising for the continuously changing power system management, planning, and
operation. One of the most favored tools of researchers and electric system
developers for power system optimization is MATLAB software. Therefore, there
has been an increased call for sharing the properly developed codes for power
system optimization.
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.
Transforming an Existing Distribution Network Into Autonomous MICRO-GRID usin...IJERA Editor
A distribution network with renewable and fossil-based resources can be operated as a micro-grid, in autonomous or nonautonomous modes. Autonomous operation of a distribution network requires cautious planning. In this context, a detailed methodology to develop a sustainable autonomous micro-grid is presented in this paper. The proposed methodology suggests novel sizing and siting strategies for distributed generators and structural modifications for autonomous micro-grids. This paper introduces the Particle Swarm Optimization (PSO) algorithm to solve the optimal network reconfiguration problem for power loss reduction. The PSO is a relatively new and powerful intelligence evolution method for solving optimization problems. It is a population-based approach. The PSO was inspired from natural behavior of the bees on how they find the location of most flowers. The proposed PSO algorithm is introduced with some modifications such as using an inertia weight that decreases linearly during the simulation. This setting allows the PSO to explore a large area at the start of the simulation.
A Literature Review on Experimental Study of Power Losses in Transmission Lin...paperpublications3
Abstract: The flexible Ac transmission system (FACTS) controllers can play an important role in the power system security enhancement. However, due to high capital investment, it is necessary to locate these controllers optimally in the power system. FACTS devices can regulate the active and reactive power control as well as adaptive to voltage-magnitude control simultaneously because of their flexibility and fast control characteristics. Placement of these devices in suitable location can lead to control in line flow and maintain bus voltages in desired level and so improve voltage stability margins. In the previous paper three type of FACTS devices used in transmission lines for improvement of voltage profile in the power system. This paper describes the simulation result of flexible Alternative Current Transmission Systems (FACTS) devices used in the disturbed power systems. Out of three types of FACTS device UPFC performances is considered to be best comparatively with respect to each of the three devices.
These days we have an increased number of heart diseases including increased risk of heart attacks. Our proposed system users sensors that allow to detect heart rate of a person using heartbeat sensing even if the person is at home. The sensor is then interfaced to a microcontroller that allows checking heart rate readings and transmitting them over internet. The user may set the high as well as low levels of heart beat limit. After setting these limits, the system starts monitoring and as soon as patient heart beat goes above a certain limit, the system sends an alert to the controller which then transmits this over the internet and alerts the doctors as well as concerned users. Also the system alerts for lower heartbeats. Whenever the user logs on for monitoring, the system also displays the live heart rate of the patient. Thus concerned ones may monitor heart rate as well get an alert of heart attack to the patient immediately from anywhere and the person can be saved on time.This value will continue to grow if no proper solution is found. Internet of Things (IoT) technology developments allows humans to control a variety of high-tech equipment in our daily lives. One of these is the ease of checking health using gadgets, either a phone, tablet or laptop. we mainly focused on the safety measures for both driver and vehicle by using three types of sensors: Heartbeat sensor, Traffic light sensor and Level sensor. Heartbeat sensor is used to monitor heartbeat rate of the driver constantly and prevents from the accidents by controlling through IOT.
ABSTRACT The success of the cloud computing paradigm is due to its on-demand, self-service, and pay-by-use nature. Public key encryption with keyword search applies only to the certain circumstances that keyword cipher text can only be retrieved by a specific user and only supports single-keyword matching. In the existing searchable encryption schemes, either the communication mode is one-to-one, or only single-keyword search is supported. This paper proposes a searchable encryption that is based on attributes and supports multi-keyword search. Searchable encryption is a primitive, which not only protects data privacy of data owners but also enables data users to search over the encrypted data. Most existing searchable encryption schemes are in the single-user setting. There are only few schemes in the multiple data users setting, i.e., encrypted data sharing. Among these schemes, most of the early techniques depend on a trusted third party with interactive search protocols or need cumbersome key management. To remedy the defects, the most recent approaches borrow ideas from attribute-based encryption to enable attribute-based keyword search (ABKS
Cloud computing is the one of the emerging techniques to process the big data. Large collection of set or large
volume of data is known as big data. Processing of big data (MRI images and DICOM images) normally takes
more time compare with other data. The main tasks such as handling big data can be solved by using the concepts
of hadoop. Enhancing the hadoop concept it will help the user to process the large set of images or data. The
Advanced Hadoop Distributed File System (AHDF) and MapReduce are the two default main functions which
are used to enhance hadoop. HDF method is a hadoop file storing system, which is used for storing and retrieving
the data. MapReduce is the combinations of two functions namely maps and reduce. Map is the process of
splitting the inputs and reduce is the process of integrating the output of map’s input. Recently, in medical fields
the experienced problems like machine failure and fault tolerance while processing the result for the scanned
data. A unique optimized time scheduling algorithm, called Advanced Dynamic Handover Reduce Function
(ADHRF) algorithm is introduced in the reduce function. Enhancement of hadoop and cloud introduction of
ADHRF helps to overcome the processing risks, to get optimized result with less waiting time and reduction in
error percentage of the output image
Text mining has turned out to be one of the in vogue handle that has been joined in a few research
fields, for example, computational etymology, Information Retrieval (IR) and data mining. Natural
Language Processing (NLP) methods were utilized to extricate learning from the textual text that is
composed by people. Text mining peruses an unstructured form of data to give important
information designs in a most brief day and age. Long range interpersonal communication locales
are an awesome wellspring of correspondence as the vast majority of the general population in this
day and age utilize these destinations in their everyday lives to keep associated with each other. It
turns into a typical practice to not compose a sentence with remedy punctuation and spelling. This
training may prompt various types of ambiguities like lexical, syntactic, and semantic and because of
this kind of indistinct data; it is elusive out the genuine data arrange. As needs be, we are directing
an examination with the point of searching for various text mining techniques to get different
textual requests via web-based networking media sites. This review expects to depict how
contemplates in online networking have utilized text investigation and text mining methods to
identify the key topics in the data. This study concentrated on examining the text mining
contemplates identified with Facebook and Twitter; the two prevailing web-based social networking
on the planet. Aftereffects of this overview can fill in as the baselines for future text mining research.
Colorectal cancer (CRC) has potential to spread within the peritoneal cavity, and this transcoelomic
dissemination is termed “peritoneal metastases” (PM).The aim of this article was to summarise the current
evidence regarding CRC patients at high risk of PM. Colorectal cancer is the second most common cause of cancer
death in the UK. Prompt investigation of suspicious symptoms is important, but there is increasing evidence that
screening for the disease can produce significant reductions in mortality.High quality surgery is of paramount
importance in achieving good outcomes, particularly in rectal cancer, but adjuvant radiotherapy and chemotherapy
have important parts to play. The treatment of advanced disease is still essentially palliative, although surgery for
limited hepatic metastases may be curative in a small proportion of patients.
Heat transfer in pipes is a distinctive kind of procedure employed in heat exchanger which transfers great
deal of heat because of the impact of capillary action and phase change heat transfer principle. Late improvement
in the heat pipe incorporates high thermal conductivity liquids like Nano liquids, fixed inside to extricate the most
extreme heat. This paper audits, impact of different factors, for example, thermal pipe tilt edge, charged measure
of working liquid, nano particles sort, size, and mass/volume part and its impact on the change of thermal
proficiency, thermal exchange limit and decrease in thermal protection. The Nano liquid arrangement and the
examination of its thermal attributes likewise have been investigated. The retained sun oriented vitality is
exchanged to the working liquid streaming in the pipe. The execution of the framework is affected by thermal
exchange from tube to working liquid, with least convective misfortunes, which must be considered as one of the
essential plan factor. In tube and channel streams, to improve the rate of heat exchange to the working liquid,
detached enlargement methods, for example, contorted tapes and swirl generators are employed from the fluid
flow path. The variation of heat transfer coefficient and pressure drop in the pipe flow for water and water based
Al2O3 Nano fluids at different volume concentrations and twisted tapes are studied.
Now-a-day’s pedal powered grinding machine is used only for grinding purpose. Also, it requires lots of efforts
and limited for single application use. Another problem in existing model is that it consumed more time and also has
lower efficiency. Our aim is to design a human powered grinding machine which can also be used for many purposes
like pumping, grinding, washing, cutting, etc. it can carry water to a height 8 meter and produces 4 ampere of electricity
in most effective way. The system is also useful for the health conscious work out purpose. The purpose of this technical
study is to increase the performance and output capacity of pedal powered grinding machine.
This project proposes a distributed control approach to coordinate multiple energy storage units
(ESUs) to avoid violation of voltage and network load constraints ESU as a buffer can be a promising
solution which can store surplus power during the peak generation periods and use it in peak load
periods.In ESU converters both active and reactive power are used to deal with the power quality
issues in distribution network ESU’s reactive power is proposed to be used for voltage support, while
the active power is to be utilized in managing network loading.
The steady increase in non-linear loads on the power supply network such as, AC variable speed drives,
DC variable Speed drives, UPS, Inverter and SMPS raises issues about power quality and reliability. In this
subject, attention has been focused on harmonics . Harmonics overload the power system network and cause
reliability problems on equipment and system and also waste energy. Passive and active harmonic filters are
used to mitigate harmonic problems. The use of both active and passive filter is justified to mitigate the
harmonics. The difficulty for practicing engineers is to select and deploy correct harmonic filters , This paper
explains which solutions are suitable when it comes to choosing active and passive harmonic filters and also
explains the mistakes need to be avoided.
This Paper is aimed at analyzing the few important Power System equipment failures generally
occurring in the Industrial Power Distribution system. Many such general problems if not resolved it may
lead to huge production stoppage and unforeseen equipment damages. We can improve the reliability of
Power system by simply applying the problem solving tool for every case study and finding out the root cause
of the problem, validation of root cause and elimination by corrective measures. This problem solving
approach to be practiced by every day to improve the power system reliability. This paper will throw the light
and will be a guide for the Practicing Electrical Engineers to find out the solution for every problem which
they come across in their day to day maintenance activity.
More from IJET - International Journal of Engineering and Techniques (20)
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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.
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1. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 94
Review of Load Flow Analysis for Three Phase
Radial Distribution System
Pawan Kumar Kaushal1
, Mrs. Minal Tomar2
1
Research Scholar Department of Electrical & Electronics, MIT, Indore
2
Associate Professor Department of Electrical & Electronics, MIT, Indore
I. INTRODUCTION
Power flow or load flow studies are
performed for the determination of the steady
state operating condition of a power system.
This is the most frequently carried out study by
power utilities and is required to be performed
for power system planning, operation,
optimization and control. At the design stage,
load flow analysis [3, 9] is used to check
whether the voltage profiles are expected to be
within limits throughout the network.
The effectiveness of the backward forward
sweep method in the analysis of radial
distribution systems has already been proven
by researchers, by comparing it to the
traditional load flow methods. The forward
backward sweep method [1, 3, 5] is
commonly used due to its computational
efficiencies and solution accuracies.
Radial distribution system [2] [3] can be
modeled as a network of buses connected by
distribution lines, switches & transformers.
The load-flow study of radial distribution
network is of prime importance for effective
planning of load transfer Local Search is a
family of general-purpose techniques for
search and optimization problems, which are
based on several variants of the simple idea.
Each Local Search technique prescribes a
different strategy for dealing with the foggy
situation. The application of Local Search
algorithms to optimization problems dates
back to early 1960s. Since that time the
interest in this subject has considerably
grown in the fields of Operations Research,
Computer Science and Artificial
Intelligence. Local Search algorithms are
non-exhaustive in the sense that they do not
guarantee to find a feasible (or optimal)
solution, but they search non-systematically
until a specific stop criterion is satisfied.
Nevertheless, these techniques are very
appealing because of their effectiveness and
their widespread applicability [24, 26, 28].
II. RESEARCH SUMMARY
RESEARCH ARTICLE OPEN ACCESS
Abstract:
This paper based on review of load flow analysis of radial distribution system. The
problem on unbalancing of reactive power is in single phase and three phases. Therefore to improve &
enhancing voltage profile and stability of the existing power system, load flow analysis is alternative
solution. Here is review on different approaches by different author’s for load flow analysis in three phase
radial distribution system to improve voltage stability and to minimize the transmission line losses.
Different optimization techniques may be use to identify as well as applied in three phase radial
distribution system with analysis of different authors review and based on merits and demerits of radial
distribution system. Local search optimization is also described based on this review.
2. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 95
There is summary of different
academician/researchers given in below
table:
S
r.
N
o.
Author’s
Name
Methods/T
echnique
Optimi
zation
Outcom
e
1. Yuntao Ju,
Wenchuan
Wu,
Boming
Zhang,
Hongbin
Sun
Loop
Analysis
Forwar
d
Backwa
rd
Sweep
Three-
Phase
Models
To
Check
The
Perform
ance Of
Forward
Backwa
rd
Sweep
Method
2. A. D.
Rana, J. B.
Darji,
Mosam
Pandya
KCL And
KVL
Forwar
d
Sweep
And
Backwa
rd
Sweep
Transmi
ssion
Line
Losses
,IEEE
33 Bus
Radial
Distribu
tion
System
3. M. E.
Baran And
F. F. Wu
Non-Linear
Equations
Newton
-
Raphso
n
Method
Comput
ational
Efficien
cy In
Power
Flow
4. Puthireddy
Umapathi
Reddy,
Sirigiri
Sivanagara
ju,
Prabandha
mkam
Sangames
wararaju
Zero
Sequence-
Voltage
And Current
Forwar
d
Backwa
rd
Sweep
19-Bus
Unbalan
ced
System
For
Grounde
d Star-
Delta
And
Delta
Grounde
d Star
Transfor
mer
Connect
ions
III. RADIAL DISTRIBUTION SYSTEM
According to scheme of operation,
distribution system may be classified as:1)
Radial distribution network 2)Ring main
system 3) Interconnected System.
Selection of Radial distribution system
based on load flow study can be possible for
analyzing, study and review about three
phase radial distribution system.
3. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 96
Figure:1 IEEE-33 bus Radial Distribution System
In above figure IEEE-33 bus system in
which has distributiion from bus number 18,
22 and 25. It is used to analyze for three
phase RDS.
Table:1 Discription of Radial Distribution System
Load Flow in
Radial
Distribution
System
Merits Demerits
Newton -
Downhill
1. Not Depends on
Initial Solution
2. Higher
Convergence
Rate
Converge
nce order
is less
than 2
If
jacobian
matrix is
singular
then
failed
Genetic
Algorithm
Based
1. Simple
Implementation
2. Suitable for
Offline
Problems
In
Complex
network
excessive
computat
ion time
Sensitive
to
controller
paramete
r
Particle Swarn
Optimization
(PSO)
1. Offline
Problems
suitable
2. Faster than
Genetic
Algorithm
Slower
Converge
nce
In
complex
network
Unsucces
sful
Artificial Neural
Network
1. Suitable for On-
line problems
2. Least
Computation
Time
Other
methods
Need
Specified
Input
Range
Limited
Forward/Backw
ard Sweep
Method
1. Jacobian Matrix
is Not Needed
2. KCL equations
3. Not Depends on
PV and DG
Number for
small Networks
4. Suitable for
online and
offline Problems
Unsucces
sful for
Heavy
Load
Unsucces
sful for
large
scale
network
IV. ALGORITHM
Load flow in three phase radial distribution
can be analyzed by flow chart for
determination of kW and kVAR.
4. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 97
V. OPTIMIZATION TECHNIQUES
There are different optimizations techniques
can be used in load flow study for three
phase radial distribution system:
Local search optimization: These
optimization techniques are applicable for
determining number of busses, nodes and
any other things in radial distribution
system. 1) Metaheuristic methods 2)
Stochastic optimization
Table 2: Characteristics of Local Search Methods
Feature Hill
Climbing
Simulated
Annealing
Tabu
Search
Initial
Solution
Not
Specified
Random Not Specified
Select
Move
Random Random Best Non Tabu
Acceptabl
e Move
Non-
Worsening
Always
improve
Worsening
Always
Stop
Search
Idle
Iterations
Frozen
System
Idle Iterations
As per description of another optimization
techniques shown in figure there has
artificial intelligence, genetic algorithm,
particle swarm optimization and forward
backward sweep optimization but this
method is further classified on the basis of
branch current based, branch power based
and branch impedance based.
VI. AUTHOR’S BIOGRAPHY
Mr. Pawan Kaushal is
pursuing Master of Technology in Power
Electronics from Malwa Institute of
Technology, Indore (M.P.), affiliated to
Rajiv Gandhi Proudhyogiki
Vishwavidyalaya, Bhopal. He is working an
area of forward backward sweep, local
search and optimal DG placement in RDS.
5. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 98
Mrs. Minal Tomar is working
as Assistant Professor and Head in
Department of Electrical and Electronics
Engineering from Malwa Institute of
Technology, Indore(M.P.) India. Her
Interested Research Area in Distributed
Generation through renewable energy, Local
Search Optimization. She has published
many research paper based on Voltage Sag
Mitigation Techniques, Distribution System.
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