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۱Improved Hybrid Particle Swarm Optimization–Based of Fish School Search Algorithm for Solving Optimal Reactive Power Dispatch Problem
نویسنده(ها):
اطلاعات انتشار: Majlesi Journal of Energy Management، سوم،شماره۱، Mar ۲۰۱۴، سال
تعداد صفحات: ۳
This paper presents an algorithm for solving the multi–objective reactive power dispatch problem in power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables Swarm Intelligence algorithms have been extensively applied to solve optimization problems. However, some of them, such as Particle Swarm Optimization, may not present the ability to generate diversity after environmental changes. In this paper we propose a hybrid algorithm to overcome this problem by applying a very interesting feature of the Fish School Search algorithm to the Particle Swarm Optimization algorithm, the collective volitive operator .We demonstrated that our proposed HPSO(hybrid particle swarm optimization)presents a better performance when compared to the FSS algorithm and some PSO variations in dynamic environments. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system and compared to other algorithms and simulation results show that HPSO is more efficient then other algorithms in reducing the real power losses and enhancing the voltage stability index .

۲A New Novel Cuckoo Search Optimization Algorithm For Solving Optimal Reactive Power Dispatch Problem
نویسنده(ها):
اطلاعات انتشار: Majlesi Journal of Energy Management، چهارم،شماره۳، Sep ۲۰۱۵، سال
تعداد صفحات: ۱۳
This paper presents an algorithm for solving the multi–objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. Evolutionary algorithm and Swarm Intelligence algorithm (EA, SI), a part of Bio inspired optimization algorithm, have been widely used to solve numerous optimization problem in various science and engineering domains. This paper presents, a new novel cuckoo search optimization algorithm (NCSA) based on Gauss distribution is presented to solve the reactive power dispatch problem. The simulation results demonstrate good performance of the NCSA in solving an optimal reactive power dispatch problem. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system and compared to other algorithms reported those before in literature. Results show that NCSA is more efficient than others for solution of single–objective ORPD problem.
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