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Papers by Sakthivel Padaiyatchi

Research paper thumbnail of Optimization of location and rating of unified power flow controllers for congestion management

Indonesian Journal of Electrical Engineering and Computer Science, Mar 1, 2023

Large number of contracted power exchanges among sellers and purchasers, in a deregulated power m... more Large number of contracted power exchanges among sellers and purchasers, in a deregulated power market causes transmission line congestion. Congestion of lines undermines the security and economy of power networks. Flexible AC transmission system (FACTS) devices are introduced at appropriate spots to change the power flow in order to keep the flow of the lines within their capability. In this work, the most commonly used unified power flow controller (UPFC) is proposed for achievement of changing the line flow and for easing congestion from the over loaded lines. The size and site of UPFC controllers significantly impact their performance in congestion management task. The location and size of the UPFC devices are to be optimized by using an optimization algorithm. Whale optimization algorithm (WOA) is exploited in this effort for realizing the aim of determination of site and size of the FACTS converters. The present method has lesser quantity of variables which are tuned to get best outcomes. The suggested WOA based technique is executed on the IEEE 57 bus system. The outcomes comparison is made with particle swarm optimization algorithm (PSO) and firefly algorithm (FFA) and the better improved outcomes are found.

Research paper thumbnail of Hybrid Bat Optimization Algorithm Applied to Optimal Reactive Power Dispatch Problems

International Journal of Electrical and Electronics Engineering

Security and economics of a power system are optimized by the control of reactive power dispatch ... more Security and economics of a power system are optimized by the control of reactive power dispatch from synchronous generators and var sources like SVCs installed in the system. Optimal reactive power dispatch (ORPD) is achieved by properly setting the value of control parameters. Generator bus voltages, transformer tap positions and SVC settings are the control parameters for reactive power optimization. Generally, artificial intelligence techniques are used for optimizing the values of control variables. In this work, a hybrid bat optimization algorithm based on particle swarm algorithm, namely HPSOBA, is proposed for reactive power optimization. This algorithm mimics the echolocation behavior of microbats. Microbats emit a kind of SONAR and wait for the echo that is bounced from the prey. The bats analyse the echo for understanding the location and size of the prey in their path. This behavior is copied in the new algorithm. The strength of this algorithm is tested by comparing its performance with that of the other bio-inspired algorithms like Biogeography Based Optimization (BBO). The test systems taken are the standard IEEE-30 bus and IEEE-57 bus systems. The results obtained are much encouraging.

Research paper thumbnail of Hybrid DE/FFA algorithm applied for different optimal reactive power dispatch problems

Australian Journal of Electrical and Electronics Engineering, 2020

Security and economy of a power system are optimised by controlling of reactive power dispatch fr... more Security and economy of a power system are optimised by controlling of reactive power dispatch from synchronous generators and var sources like SVCs installed in the system. Generator bus voltages, transformer tap positions and SVC settings are the control parameters in optimal reactive power dispatch (ORPD) problem. Generally, population-based optimisation algorithms are used for optimising the values of control variables. In this work, a hybrid version of bio inspired algorithm of firefly optimisation algorithm (FFA) is suggested for reactive power optimisation. This proposed DE/FFA-based algorithm mimics the mating behaviour of fireflies. The exploration capability of basic FFA is poor and is enhanced by hybridising with the differential evolution algorithm (DE). The strength of this algorithm is tested by comparing its performance with that of the other bio inspired algorithms like Biogeography Based Optimisation (BBO). The new method is tested on the IEEE-14 bus, IEEE-30 bus and IEEE-57 bus test systems. The results obtained are much encouraging.

Research paper thumbnail of OPF based reactive power planning and voltage stability limit improvement under single line outage contingency condition through evolutionary algorithms

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2013

Reactive power planning is vital for maintaining the voltage stability of power systems and evolu... more Reactive power planning is vital for maintaining the voltage stability of power systems and evolutionary algorithms are highly useful for achieving this task. This paper compares the effectiveness of the differential evolution (DE) and evolutionary programming (EP) algorithms in optimizing the reactive power planning of power systems under line outage contingency conditions. DE is efficient in exploration through the search space of the problem, while EP is simple and easy to implement. The low cost but fast response thyristor-controlled series capacitor (TCSC) flexible alternating current transmission system (FACTS) device is incorporated to control the power flows. The optimal settings of the control variables of the generator voltages, transformer tap settings, and location and parameter settings of the TCSC are considered for reactive power planning and the resultant reactive power reserves. The effectiveness of the proposed work is tested on the IEEE-30 Bus test system under the most critical line outage condition.

Research paper thumbnail of Optimization of location and rating of unified power flow controllers for congestion management

The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 2023

Large number of contracted power exchanges among sellers and purchasers, in a deregulated power m... more Large number of contracted power exchanges among sellers and purchasers, in a deregulated power market causes transmission line congestion. Congestion of lines undermines the security and economy of power networks. Flexible AC transmission system (FACTS) devices are introduced at appropriate spots to change the power flow in order to keep the flow of the lines within their capability. In this work, the most commonly used unified power flow controller (UPFC) is proposed for achievement of changing the line flow and for easing congestion from the over loaded lines. The size and site of UPFC controllers significantly impact their performance in congestion management task. The location and size of the UPFC devices are to be optimized by using an optimization algorithm. Whale optimization algorithm (WOA) is exploited in this effort for realizing the aim of determination of site and size of the FACTS converters. The present method has lesser quantity of variables which are tuned to get best outcomes. The suggested WOA based technique is executed on the IEEE 57 bus system. The outcomes comparison is made with particle swarm optimization algorithm (PSO) and firefly algorithm (FFA) and the better improved outcomes are found.

Research paper thumbnail of Optimization of location and rating of unified power flow controllers for congestion management

Indonesian Journal of Electrical Engineering and Computer Science, Mar 1, 2023

Large number of contracted power exchanges among sellers and purchasers, in a deregulated power m... more Large number of contracted power exchanges among sellers and purchasers, in a deregulated power market causes transmission line congestion. Congestion of lines undermines the security and economy of power networks. Flexible AC transmission system (FACTS) devices are introduced at appropriate spots to change the power flow in order to keep the flow of the lines within their capability. In this work, the most commonly used unified power flow controller (UPFC) is proposed for achievement of changing the line flow and for easing congestion from the over loaded lines. The size and site of UPFC controllers significantly impact their performance in congestion management task. The location and size of the UPFC devices are to be optimized by using an optimization algorithm. Whale optimization algorithm (WOA) is exploited in this effort for realizing the aim of determination of site and size of the FACTS converters. The present method has lesser quantity of variables which are tuned to get best outcomes. The suggested WOA based technique is executed on the IEEE 57 bus system. The outcomes comparison is made with particle swarm optimization algorithm (PSO) and firefly algorithm (FFA) and the better improved outcomes are found.

Research paper thumbnail of Hybrid Bat Optimization Algorithm Applied to Optimal Reactive Power Dispatch Problems

International Journal of Electrical and Electronics Engineering

Security and economics of a power system are optimized by the control of reactive power dispatch ... more Security and economics of a power system are optimized by the control of reactive power dispatch from synchronous generators and var sources like SVCs installed in the system. Optimal reactive power dispatch (ORPD) is achieved by properly setting the value of control parameters. Generator bus voltages, transformer tap positions and SVC settings are the control parameters for reactive power optimization. Generally, artificial intelligence techniques are used for optimizing the values of control variables. In this work, a hybrid bat optimization algorithm based on particle swarm algorithm, namely HPSOBA, is proposed for reactive power optimization. This algorithm mimics the echolocation behavior of microbats. Microbats emit a kind of SONAR and wait for the echo that is bounced from the prey. The bats analyse the echo for understanding the location and size of the prey in their path. This behavior is copied in the new algorithm. The strength of this algorithm is tested by comparing its performance with that of the other bio-inspired algorithms like Biogeography Based Optimization (BBO). The test systems taken are the standard IEEE-30 bus and IEEE-57 bus systems. The results obtained are much encouraging.

Research paper thumbnail of Hybrid DE/FFA algorithm applied for different optimal reactive power dispatch problems

Australian Journal of Electrical and Electronics Engineering, 2020

Security and economy of a power system are optimised by controlling of reactive power dispatch fr... more Security and economy of a power system are optimised by controlling of reactive power dispatch from synchronous generators and var sources like SVCs installed in the system. Generator bus voltages, transformer tap positions and SVC settings are the control parameters in optimal reactive power dispatch (ORPD) problem. Generally, population-based optimisation algorithms are used for optimising the values of control variables. In this work, a hybrid version of bio inspired algorithm of firefly optimisation algorithm (FFA) is suggested for reactive power optimisation. This proposed DE/FFA-based algorithm mimics the mating behaviour of fireflies. The exploration capability of basic FFA is poor and is enhanced by hybridising with the differential evolution algorithm (DE). The strength of this algorithm is tested by comparing its performance with that of the other bio inspired algorithms like Biogeography Based Optimisation (BBO). The new method is tested on the IEEE-14 bus, IEEE-30 bus and IEEE-57 bus test systems. The results obtained are much encouraging.

Research paper thumbnail of OPF based reactive power planning and voltage stability limit improvement under single line outage contingency condition through evolutionary algorithms

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2013

Reactive power planning is vital for maintaining the voltage stability of power systems and evolu... more Reactive power planning is vital for maintaining the voltage stability of power systems and evolutionary algorithms are highly useful for achieving this task. This paper compares the effectiveness of the differential evolution (DE) and evolutionary programming (EP) algorithms in optimizing the reactive power planning of power systems under line outage contingency conditions. DE is efficient in exploration through the search space of the problem, while EP is simple and easy to implement. The low cost but fast response thyristor-controlled series capacitor (TCSC) flexible alternating current transmission system (FACTS) device is incorporated to control the power flows. The optimal settings of the control variables of the generator voltages, transformer tap settings, and location and parameter settings of the TCSC are considered for reactive power planning and the resultant reactive power reserves. The effectiveness of the proposed work is tested on the IEEE-30 Bus test system under the most critical line outage condition.

Research paper thumbnail of Optimization of location and rating of unified power flow controllers for congestion management

The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 2023

Large number of contracted power exchanges among sellers and purchasers, in a deregulated power m... more Large number of contracted power exchanges among sellers and purchasers, in a deregulated power market causes transmission line congestion. Congestion of lines undermines the security and economy of power networks. Flexible AC transmission system (FACTS) devices are introduced at appropriate spots to change the power flow in order to keep the flow of the lines within their capability. In this work, the most commonly used unified power flow controller (UPFC) is proposed for achievement of changing the line flow and for easing congestion from the over loaded lines. The size and site of UPFC controllers significantly impact their performance in congestion management task. The location and size of the UPFC devices are to be optimized by using an optimization algorithm. Whale optimization algorithm (WOA) is exploited in this effort for realizing the aim of determination of site and size of the FACTS converters. The present method has lesser quantity of variables which are tuned to get best outcomes. The suggested WOA based technique is executed on the IEEE 57 bus system. The outcomes comparison is made with particle swarm optimization algorithm (PSO) and firefly algorithm (FFA) and the better improved outcomes are found.