期刊名称：International Journal of Mechatronics, Electrical and Computer Technology
印刷版ISSN：2305-0543
出版年度：2014
卷号：4
期号：10
页码：111-125
出版社：Austrian E-Journals of Universal Scientific Organization
摘要：In this paper, a new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA), is applied to solve the optimal reactive power dispatch (ORPD) Problem. The ORPD problem is formulated as a nonlinear constrained single-objective optimization problem where the real power loss and the bus voltage deviations are to be minimized separately. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system consisting 6 generator and compared other algorithms reported those before in literature. Results show that PSOGSA is more efficient than others for solution of single-objective ORPD problem
关键词：Gravitational Search Algorithm (GSA); Particle Swarm Optimization (PSO); Function Optimization; optimal reactive Power dispatch; power system.
