基于混沌粒子群优化方法的电力系统无功最优潮流

针对电力系统无功最优潮流问题,提出一种混沌粒子群优化(CPSO)方法,以克服粒子群优化(PSO)方法容易早熟而陷入局部最优解的缺点。该方法结合混沌变量良好的遍历特性及混沌优化的特点,对即将重合而引起搜索能力下降的粒子赋予混沌状态搜索,其余粒子仍以常规PSO方法搜索,从而提高PSO方法的寻优性能。通过对IEEE6,IEEE14,IEEE30和IEEE118测试系统无功最优潮流问题的计算及分析,表明CPSO方法具有很高的搜索效率和诱人的应用前景。

Optimal Reactive Power Dispatch Using Chaotic Particle Swarm Optimization Algorithm

To deal with optimal reactive power dispatch problem, this paper presents chaotic particle swarms optimization (CPSO) to avoid the premature phenomenon of PSO. According to the advanced searching ability of chaotic variables, overlapping agents with poor optima searching ability are transformed into chaotic swarms while the other continue their PSO process in order to improve the method' s global searching performance. The proposed algorithm is tested on IEEE 6-bus, IEEE 14-bus, IEEE 30-bus and IEEE 118-bus systems. The results show its high efficiency and promising practical applications.