Reactive Power Management Based Hybrid GAEO

Autor: Mahmoud Hemeida, Tomonobu Senjyu, Salem Alkhalaf, Asmaa Fawzy, Mahrous Ahmed, Dina Osheba
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Sustainability; Volume 14; Issue 11; Pages: 6933
ISSN: 2071-1050
DOI: 10.3390/su14116933
Popis: Electrical power networks are expanded regularly to meet growing energy requirements. Reactive power dispatch (RPD) optimization is a powerful tool to enhance a system’s efficiency, reliability, and security. RPD optimization is classified as a non-linear and non-convex problem. In this paper, the RPD optimization problem is solved based on novel hybrid genetic algorithms—equilibrium optimizer (GAEO) optimization algorithms. The control variables are determined in such a way that optimizes RPD and minimizes power losses. The efficiency of the proposed optimization algorithms is compared to other techniques that have been used recently to solve the RPD problem. The proposed algorithm has been tested for optimization RPD for three test systems, IEEE14-bus, IEEE-30bus, and IEEE57-bus. The obtained results show the superiority of GAEO over other techniques for small test systems, IEEE14-bus and IEEE-30bus. GAEO shows good results for large system, IEEE 57-bus.
Databáze: OpenAIRE