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Integration of Distributed Generations and Static VAR Compensator in a Distribution Network Using Genetic Algorithms
The global power system is overloaded, resulting in a poor voltage profile, voltage instability, and large real and reactive power losses. Electrical power growth and hitching in providing required capacity provide a spur to appoint distributed generation (DGs) and static VAR compensator (SVC) options. This research shows how to use a genetic algorithm to optimize the integration of DGs and SVC in a distribution network for improved system performance by minimizing total real and reactive power losses. The 38-bus distribution test network, where GA is employed to solve the optimization problem, demonstrates the value of the proposed strategy. This paper assists individuals in working on the system performance of viability and building of future power grids, as well as a variety of scheme performance indicators from a higher social environment.
Integration of Distributed Generations and Static VAR Compensator in a Distribution Network Using Genetic Algorithms
The global power system is overloaded, resulting in a poor voltage profile, voltage instability, and large real and reactive power losses. Electrical power growth and hitching in providing required capacity provide a spur to appoint distributed generation (DGs) and static VAR compensator (SVC) options. This research shows how to use a genetic algorithm to optimize the integration of DGs and SVC in a distribution network for improved system performance by minimizing total real and reactive power losses. The 38-bus distribution test network, where GA is employed to solve the optimization problem, demonstrates the value of the proposed strategy. This paper assists individuals in working on the system performance of viability and building of future power grids, as well as a variety of scheme performance indicators from a higher social environment.
Integration of Distributed Generations and Static VAR Compensator in a Distribution Network Using Genetic Algorithms
J. Inst. Eng. India Ser. B
Shukla, Vipul (author) / Mukherjee, Vivekananda (author) / Singh, Bindeshwar (author)
Journal of The Institution of Engineers (India): Series B ; 104 ; 395-422
2023-04-01
28 pages
Article (Journal)
Electronic Resource
English
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