scholarly journals Design of Power System by using Grey Wolf Optimization Technique

2019 ◽  
Vol 8 (6) ◽  
pp. 4169-4174
Keyword(s):  
Power System ◽  
Power Supply ◽  
Optimization Technique ◽  
Grey Wolf ◽  
Electrical System ◽  
Grey Wolf Optimization ◽  
Static Synchronous Compensator ◽  
Real Power ◽  
The Stability ◽  
Consumer Devices

Power supply determines the adequacy to the consumer devices. Without real power, an electrical device fails to function normally.The purpose of this article is to study and realise the stability of a power system and its modelling .Thus, the purpose of this study is to reduce the problem of sag / swell of the voltage by using the proposed Distribution Static Synchronous Compensator (D-STATCOM). iThe D-STATCOM is proposed with advanced optimization technique.The stability, modelling and simulation of the electrical system is evaluate by MATLAB.The results thus obtained showed compatibility with the performance of DSTATCOM in reducing the sag of tension and swell.The results are very positive and giving hope for future and have shown that GWO is an effective optimization technique for solving various problems

Congestion management using grey wolf optimization in a deregulated power market

2021 ◽  
Keyword(s):  
Optimization Technique ◽  
Differential Evolution Algorithm ◽  
Congestion Management ◽  
Grey Wolf ◽  
Transmission Congestion ◽  
Power Sector ◽  
Grey Wolf Optimization ◽  
Congestion Cost ◽  
Real Coded Genetic Algorithm ◽  
Line Overload

Abstract Transmission congestion issues became more severe and difficult to control as the power sector became more deregulated. The grey wolf optimization algorithm is proposed to relieve congestion by rescheduling generation effectively, resulting in the least congestion cost. The selection of participating generators is based on sensitivity, and the proposed technique is used to determine the best-rescheduled output active power generation to minimize line overload. The IEEE-30 bus system is used to test the proposed optimization technique. It has been demonstrated that when compared to other algorithms like the real coded genetic algorithm, particle swarm optimization, and differential evolution algorithm, the proposed approach produces excellent results in terms of congestion cost.

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