Dr.Yeshitela S H I F E R A W Maru | Andhra University College Of Engineering (original) (raw)
Papers by Dr.Yeshitela S H I F E R A W Maru
i-manager’s Journal on Power Systems Engineering, 2021
This paper presents the optimal power flow solution using Multi-Population based Modified Jaya (M... more This paper presents the optimal power flow solution using Multi-Population based Modified Jaya (MPMJ) algorithm with Centre-Node Unified Power flow controller (C-UPFC) FACTS device. The C-UPFC is the current and advanced FACTS device to control the flow of active power and voltage magnitude at the line and bus. The C-UPFC is the basic derivative of the original UPFC device. Still, in the C-UPFC, this device connection is inserted in series with the transmission line and connected at the transmission line's midpoint. Therefore, The C-UPFC can independently regulate active and reactive power flows at both line ends and AC voltage magnitude at line midpoint. The optimal location of the C-UPFC device in the transmission line is determined by the Analytical Hierarchy Process (AHP) method by considering the objective functions given by priority order values. Therefore, the proposed MPMJ optimization algorithm applied with C-UPFC for optimal values of total fuel cost of generation, real power loss, the total voltage deviation, and the sum of squared voltage stability index on the standard IEEE-57 bus test system. The results obtained by the proposed MPMJ algorithm are better solutions effectively in the presence of C-UPFC device and is compared with the recent algorithm reported in the literature.
Blue Eyes Intelligence Engineering and Sciences Publication, 2021
Incremental industrialization and urbanization is the cause of enhanced energy use as it increase... more Incremental industrialization and urbanization is the cause of enhanced energy use as it increases the building of new lines and more inductive loads. As a result, the transmission system losses increased, and the magnitudes of voltage profile values deviated from the stated value, resulting in increased cost of active power generation. To mitigate these issues, adequate reactive power compensation in the transmission line and bus systems should be done. Reactive power is regulated by the proper position of the Flexible AC Transmission System (FACTS). Unified Power Flow Controller (UPFC) is a voltage converter system that increases the voltage profile and reduces loss. In this paper, the optimal power flow solution is considered using a FACTS device based on Multi Population Modified Jaya (MPMJ) optimization algorithm. Using the Analytical Hierarchy Process (AHP) system, the optimal position of the UPFC device is determined by considering the most useful objective function provided by priorities and weighting factors. Therefore, on the standard IEEE-57 bus test system, the proposed MPMJ optimization algorithm is implemented with UPFC for optimal fuel cost values of generation, real power loss, voltage deviation and sum of squared voltage stability index. The result obtained by the proposed algorithm is contrasted with the recent literature algorithm.
https://www.ijert.org, 2021
Optimal power flow solution is the backbone of power system operation, power system future design... more Optimal power flow solution is the backbone of power system operation, power system future design, stability analysis, and power system future expansion. To solve this optimal power flow problem, there are many traditional and meta-heuristics algorithms in the literature. The regular optimal power flow has visible limitations: it takes much time to converge and fails to produce the optimal values within the operating limits. Due to these drawbacks, the researcher shifted to a meta-heuristic algorithm. In this paper mainly devoted to minimize the fuel cost of the generator, improve the voltage magnitude, reduce active power loss, and voltage stability index using the mention meta-heuristic algorithm. The feasibility and effectiveness of the proposed algorithm approach are investigated and exemplarily demonstrated on the IEEE-30 bus test system. The performance of the optimal power flow performed by allocating the proper place of the STATCOM device using the Analytical Hierarchy Process (AHP). From the simulation result for the given objective, the metaheuristic TLBO, JAYA, and MPMJ algorithm compared with and without STATCOM. Besides, the comparison is made with similar studies in the literature. Based on the simulation result, the proposed MPMJ algorithm is the most powerful for the optimization algorithm for the defined objective and selected test system.
- International Journal of Innovative Science, Engineering & Technology,, 2021
The optimal power flow problem is an optimization tool that applied for obtaining the best operat... more The optimal power flow problem is an optimization tool that applied for obtaining the best operating point (control variables) for given objective functions with satisfying the system equality and inequality constraints. The Flexible Alternating Current Transmission Systems devices have been widely used in electrical power systems networks connected on the transmission line or the bus. Hence, the SSSC controller is a useful FACTS device based on voltage source converter. It can inject a controllable voltage within the given limits in series with a transmission line to control the active and reactive power flow through the transmission line. In this paper, the optimal power flow solution without and with SSSC FACTS device was discussed. The algorithm to solve the OPF problems is proposed Multi Population-based Modified Jaya (MPMJ) algorithm and compared with TLBO and JAYA algorithms. The optimal location of the SSSC device is determined using the Analytical Hierarchy Process (AHP) method. Therefore, the proposed MPMJ optimization algorithm applied with SSSC device for optimal values of total fuel cost of generation, real power loss, the total voltage deviation, and the sum of squared voltage stability index on the standard IEEE-57 bus test systems. The results obtained by the proposed MPMJ algorithm are better solutions effectively in the presence of the SSSC device than the recent algorithm reported in the literature.
V R Siddhartha Engineering College, Vijayawada, 2010
Optimum power flow is a useful tool for planning and operating the electrical system and maintain... more Optimum power flow is a useful tool for planning and operating the electrical system and maintains the economy and safety of the modern electrical system. Teaching, Learning-based Algorithm is one of the new Metaheuristic algorithms which can influence both teachers and students by expediting the interaction among them in sharing the necessary knowledge. The proposed TLBO is designed here to solve the problem of an optimum power flow with STATCOM FACTS device. In the deregulated energy sector, flexible AC transmission systems (FACTS) have been widely used to transfer maximum power within the constraints and improve the stability of the system. The main objective of this study is to reduce fuel cost of generation, reduce active and reactive power loss, improve voltage deviation and enhance voltage stability index within the given control variable constraints. The proposed TLBO algorithm with STATCOM device is evaluated on the standard IEEE-57 bus system. From the simulation result, it shows that the Teaching Learning-based algorithm gives the optimal solution as compared to the recent algorithm mentioned in the literature with some IEEE-57 bus test system.
defence engineering collge, 2019
Optimal power flow analysis (OPF) is the most fundamental tool for power system planning and oper... more Optimal power flow analysis (OPF) is the most fundamental tool for power system planning and operation, load scheduling and economic dispatch in the power system. In order to know the steady state evidence about a power system network, it is compulsory to do optimal power flow analysis. In this regard, the Meta-heuristic algorithm methods can solve the optimal power flow problem with more accuracy compared to classical methods. Presently, there are different varieties of Meta-heuristic algorithm which are available for optimal power flow analysis. In this paper, the fuel generation cost of generator units and voltage stability indexes are minimized to meet up the load demand and system losses. Bat algorithm code is developed using Matlab and applied to IEEE-30 bus standard test system network. The proposed algorithm results are compared to those of MATPOWER, Particle Swarm Optimization (PSO), and Differential Evolution (DE) algorithm. Finally, based on the finding of the simulation result, the Bat algorithm method provides an effective and high-quality optimization algorithm technique to solve optimal power flow problems.
Andhra University, 2020
Optimal power flow analysis (OPF) is the most fundamental tool for power system planning and oper... more Optimal power flow analysis (OPF) is the most fundamental tool for power system planning and operation, load scheduling, and economic dispatch in the power system. To know the steady-state evidence about a power system network, it is compulsory to do optimal power flow analysis. In this regard, the Meta-heuristic algorithm methods can solve the optimal power flow problem with more accuracy compared to classical methods. Presently, there are different varieties of Meta-heuristic algorithm which are available for optimal power flow analysis. In this study, the League championship Algorithm is proposed to solve optimal power flow problems. This algorithm is inspired by the computations of sport in an artificial sports league for several weeks and over many seasons. The objective function is the minimization of fuel cost of generation, improved voltage deviation, minimization of real power loss, and enhancement of stability indexes to meet up the load demand and system losses. The proposed methods have been applied to the IEEE-30 bus and Indian utility 62 bus system network. The proposed technique has been compared to those obtained in the literature of different techniques. Finally, based on the finding of the simulation result, the League Champions Algorithm methods provide an effective and high-quality optimization algorithm technique to solve optimal power flow problems.
Springer,cham, 2019
One of the significant problems in the power system network is the overloading of the transmissio... more One of the significant problems in the power system network is the overloading of the transmission system which increases stress on transmission lines. This problem can be mitigated by the addition of isolated and individually controlled devices such as FACTS to the existing networks. Thus, the main objective of this paper is determining the optimal placement of SVC and TCSC FACTS device at bus and lines and minimizing the total power loss & enhances the transferred power by applying these SVC and TCSC FACTS devices. To this end, first, load flow analysis was done using the Newton Raphson technique. Then, the optimal location was found by the voltage stability index (L-indices) and fast voltages stability indices (FVSI). The critical bus has the lowest voltage and the critical line has the largest value of FVSI. Consequently, SVC and TCSC FACTS device is installed on both the critical bus and the critical line respectively. To validate the methodology, we use IEEE-30 bus standard test system network and the simulation is done on PSAT (power system analysis toolbox) in MATLAB. Finally, based on the finding of the simulation result, the best locations for SVC and TCSC FACTS devices for improving power transfer, voltage profile and loadability are the weakest bus and line of the system.
Blue Eyes Intelligence Engineering & Sciences Publication, 2020
Optimum power flow is a useful tool for planning and operating the electrical system and maintain... more Optimum power flow is a useful tool for planning and operating the electrical system and maintains the economy and safety of the modern electrical system. Teaching, Learning-based Algorithm is one of the new Metaheuristic algorithms which can influence both teachers and students by expediting the interaction among them in sharing the necessary knowledge. The proposed TLBO is designed here to solve the problem of an optimum power flow with STATCOM FACTS device. The optimal location of STATCOM FACTS device on the weak bus is obtained by Analytical Hierarchy Process (AHP) method. The main objective of this study is to reduce fuel cost of generation, reduce active and reactive power loss, improve voltage deviation and enhance voltage stability index within the given control variable constraints. The proposed TLBO algorithm with STATCOM device is evaluated on the standard IEEE-57 bus system. From the simulation result, it shows that the Teaching Learning-based algorithm gives the optimal solution as compared to the recent algorithm mentioned in the literature with some IEEE-57 bus test system.
Journal of Engineering Research and Application, 2019
FACTS devices can enable a line to carry its flow close to rating capacity and consequently can i... more FACTS devices can enable a line to carry its flow close to rating capacity and consequently can improve the power system security even in contingency and over loaded network. An opposition-based modified differential evolution algorithm is proposed to solve the OPF problem under different operating conditions for enhancement of power system performance with a SVC device. The best location of SVC device is determined based on AHP method. The effectiveness of the proposed method is demonstrated on IEEE 30-bus test system.
i-manager’s Journal on Power Systems Engineering, 2021
This paper presents the optimal power flow solution using Multi-Population based Modified Jaya (M... more This paper presents the optimal power flow solution using Multi-Population based Modified Jaya (MPMJ) algorithm with Centre-Node Unified Power flow controller (C-UPFC) FACTS device. The C-UPFC is the current and advanced FACTS device to control the flow of active power and voltage magnitude at the line and bus. The C-UPFC is the basic derivative of the original UPFC device. Still, in the C-UPFC, this device connection is inserted in series with the transmission line and connected at the transmission line's midpoint. Therefore, The C-UPFC can independently regulate active and reactive power flows at both line ends and AC voltage magnitude at line midpoint. The optimal location of the C-UPFC device in the transmission line is determined by the Analytical Hierarchy Process (AHP) method by considering the objective functions given by priority order values. Therefore, the proposed MPMJ optimization algorithm applied with C-UPFC for optimal values of total fuel cost of generation, real power loss, the total voltage deviation, and the sum of squared voltage stability index on the standard IEEE-57 bus test system. The results obtained by the proposed MPMJ algorithm are better solutions effectively in the presence of C-UPFC device and is compared with the recent algorithm reported in the literature.
Blue Eyes Intelligence Engineering and Sciences Publication, 2021
Incremental industrialization and urbanization is the cause of enhanced energy use as it increase... more Incremental industrialization and urbanization is the cause of enhanced energy use as it increases the building of new lines and more inductive loads. As a result, the transmission system losses increased, and the magnitudes of voltage profile values deviated from the stated value, resulting in increased cost of active power generation. To mitigate these issues, adequate reactive power compensation in the transmission line and bus systems should be done. Reactive power is regulated by the proper position of the Flexible AC Transmission System (FACTS). Unified Power Flow Controller (UPFC) is a voltage converter system that increases the voltage profile and reduces loss. In this paper, the optimal power flow solution is considered using a FACTS device based on Multi Population Modified Jaya (MPMJ) optimization algorithm. Using the Analytical Hierarchy Process (AHP) system, the optimal position of the UPFC device is determined by considering the most useful objective function provided by priorities and weighting factors. Therefore, on the standard IEEE-57 bus test system, the proposed MPMJ optimization algorithm is implemented with UPFC for optimal fuel cost values of generation, real power loss, voltage deviation and sum of squared voltage stability index. The result obtained by the proposed algorithm is contrasted with the recent literature algorithm.
https://www.ijert.org, 2021
Optimal power flow solution is the backbone of power system operation, power system future design... more Optimal power flow solution is the backbone of power system operation, power system future design, stability analysis, and power system future expansion. To solve this optimal power flow problem, there are many traditional and meta-heuristics algorithms in the literature. The regular optimal power flow has visible limitations: it takes much time to converge and fails to produce the optimal values within the operating limits. Due to these drawbacks, the researcher shifted to a meta-heuristic algorithm. In this paper mainly devoted to minimize the fuel cost of the generator, improve the voltage magnitude, reduce active power loss, and voltage stability index using the mention meta-heuristic algorithm. The feasibility and effectiveness of the proposed algorithm approach are investigated and exemplarily demonstrated on the IEEE-30 bus test system. The performance of the optimal power flow performed by allocating the proper place of the STATCOM device using the Analytical Hierarchy Process (AHP). From the simulation result for the given objective, the metaheuristic TLBO, JAYA, and MPMJ algorithm compared with and without STATCOM. Besides, the comparison is made with similar studies in the literature. Based on the simulation result, the proposed MPMJ algorithm is the most powerful for the optimization algorithm for the defined objective and selected test system.
- International Journal of Innovative Science, Engineering & Technology,, 2021
The optimal power flow problem is an optimization tool that applied for obtaining the best operat... more The optimal power flow problem is an optimization tool that applied for obtaining the best operating point (control variables) for given objective functions with satisfying the system equality and inequality constraints. The Flexible Alternating Current Transmission Systems devices have been widely used in electrical power systems networks connected on the transmission line or the bus. Hence, the SSSC controller is a useful FACTS device based on voltage source converter. It can inject a controllable voltage within the given limits in series with a transmission line to control the active and reactive power flow through the transmission line. In this paper, the optimal power flow solution without and with SSSC FACTS device was discussed. The algorithm to solve the OPF problems is proposed Multi Population-based Modified Jaya (MPMJ) algorithm and compared with TLBO and JAYA algorithms. The optimal location of the SSSC device is determined using the Analytical Hierarchy Process (AHP) method. Therefore, the proposed MPMJ optimization algorithm applied with SSSC device for optimal values of total fuel cost of generation, real power loss, the total voltage deviation, and the sum of squared voltage stability index on the standard IEEE-57 bus test systems. The results obtained by the proposed MPMJ algorithm are better solutions effectively in the presence of the SSSC device than the recent algorithm reported in the literature.
V R Siddhartha Engineering College, Vijayawada, 2010
Optimum power flow is a useful tool for planning and operating the electrical system and maintain... more Optimum power flow is a useful tool for planning and operating the electrical system and maintains the economy and safety of the modern electrical system. Teaching, Learning-based Algorithm is one of the new Metaheuristic algorithms which can influence both teachers and students by expediting the interaction among them in sharing the necessary knowledge. The proposed TLBO is designed here to solve the problem of an optimum power flow with STATCOM FACTS device. In the deregulated energy sector, flexible AC transmission systems (FACTS) have been widely used to transfer maximum power within the constraints and improve the stability of the system. The main objective of this study is to reduce fuel cost of generation, reduce active and reactive power loss, improve voltage deviation and enhance voltage stability index within the given control variable constraints. The proposed TLBO algorithm with STATCOM device is evaluated on the standard IEEE-57 bus system. From the simulation result, it shows that the Teaching Learning-based algorithm gives the optimal solution as compared to the recent algorithm mentioned in the literature with some IEEE-57 bus test system.
defence engineering collge, 2019
Optimal power flow analysis (OPF) is the most fundamental tool for power system planning and oper... more Optimal power flow analysis (OPF) is the most fundamental tool for power system planning and operation, load scheduling and economic dispatch in the power system. In order to know the steady state evidence about a power system network, it is compulsory to do optimal power flow analysis. In this regard, the Meta-heuristic algorithm methods can solve the optimal power flow problem with more accuracy compared to classical methods. Presently, there are different varieties of Meta-heuristic algorithm which are available for optimal power flow analysis. In this paper, the fuel generation cost of generator units and voltage stability indexes are minimized to meet up the load demand and system losses. Bat algorithm code is developed using Matlab and applied to IEEE-30 bus standard test system network. The proposed algorithm results are compared to those of MATPOWER, Particle Swarm Optimization (PSO), and Differential Evolution (DE) algorithm. Finally, based on the finding of the simulation result, the Bat algorithm method provides an effective and high-quality optimization algorithm technique to solve optimal power flow problems.
Andhra University, 2020
Optimal power flow analysis (OPF) is the most fundamental tool for power system planning and oper... more Optimal power flow analysis (OPF) is the most fundamental tool for power system planning and operation, load scheduling, and economic dispatch in the power system. To know the steady-state evidence about a power system network, it is compulsory to do optimal power flow analysis. In this regard, the Meta-heuristic algorithm methods can solve the optimal power flow problem with more accuracy compared to classical methods. Presently, there are different varieties of Meta-heuristic algorithm which are available for optimal power flow analysis. In this study, the League championship Algorithm is proposed to solve optimal power flow problems. This algorithm is inspired by the computations of sport in an artificial sports league for several weeks and over many seasons. The objective function is the minimization of fuel cost of generation, improved voltage deviation, minimization of real power loss, and enhancement of stability indexes to meet up the load demand and system losses. The proposed methods have been applied to the IEEE-30 bus and Indian utility 62 bus system network. The proposed technique has been compared to those obtained in the literature of different techniques. Finally, based on the finding of the simulation result, the League Champions Algorithm methods provide an effective and high-quality optimization algorithm technique to solve optimal power flow problems.
Springer,cham, 2019
One of the significant problems in the power system network is the overloading of the transmissio... more One of the significant problems in the power system network is the overloading of the transmission system which increases stress on transmission lines. This problem can be mitigated by the addition of isolated and individually controlled devices such as FACTS to the existing networks. Thus, the main objective of this paper is determining the optimal placement of SVC and TCSC FACTS device at bus and lines and minimizing the total power loss & enhances the transferred power by applying these SVC and TCSC FACTS devices. To this end, first, load flow analysis was done using the Newton Raphson technique. Then, the optimal location was found by the voltage stability index (L-indices) and fast voltages stability indices (FVSI). The critical bus has the lowest voltage and the critical line has the largest value of FVSI. Consequently, SVC and TCSC FACTS device is installed on both the critical bus and the critical line respectively. To validate the methodology, we use IEEE-30 bus standard test system network and the simulation is done on PSAT (power system analysis toolbox) in MATLAB. Finally, based on the finding of the simulation result, the best locations for SVC and TCSC FACTS devices for improving power transfer, voltage profile and loadability are the weakest bus and line of the system.
Blue Eyes Intelligence Engineering & Sciences Publication, 2020
Optimum power flow is a useful tool for planning and operating the electrical system and maintain... more Optimum power flow is a useful tool for planning and operating the electrical system and maintains the economy and safety of the modern electrical system. Teaching, Learning-based Algorithm is one of the new Metaheuristic algorithms which can influence both teachers and students by expediting the interaction among them in sharing the necessary knowledge. The proposed TLBO is designed here to solve the problem of an optimum power flow with STATCOM FACTS device. The optimal location of STATCOM FACTS device on the weak bus is obtained by Analytical Hierarchy Process (AHP) method. The main objective of this study is to reduce fuel cost of generation, reduce active and reactive power loss, improve voltage deviation and enhance voltage stability index within the given control variable constraints. The proposed TLBO algorithm with STATCOM device is evaluated on the standard IEEE-57 bus system. From the simulation result, it shows that the Teaching Learning-based algorithm gives the optimal solution as compared to the recent algorithm mentioned in the literature with some IEEE-57 bus test system.
Journal of Engineering Research and Application, 2019
FACTS devices can enable a line to carry its flow close to rating capacity and consequently can i... more FACTS devices can enable a line to carry its flow close to rating capacity and consequently can improve the power system security even in contingency and over loaded network. An opposition-based modified differential evolution algorithm is proposed to solve the OPF problem under different operating conditions for enhancement of power system performance with a SVC device. The best location of SVC device is determined based on AHP method. The effectiveness of the proposed method is demonstrated on IEEE 30-bus test system.