摘要
介绍了粒子群优化算法(PSO),结合电力系统实际运行情况提出了适用于离散型变量的改进PSO算法,该算法将全局型和局部型算法有效结合起来,将问题分层解决,并引入了变异算子。在IEEE14节点系统和130节点实际系统的仿真计算中,改进PSO算法与其他人工智能算法相比,可在较短的计算时间内取得更好的优化效果。
The necessity of applying the integrated control to reactive power and voltage is briefly described, and a brief introduction to the principles of particle swarm optimization (PSO) is given. According to the practical operation of power systems an improved PSO suitable to discrete variables is put forward, in which the global and partial algorithms are effectively combined, the problem to be solved is divided into sub-problems and the mutation operator is led in. Applying the improved PSO to the calculation of IEEE 14-bus system and practical 130-bus system respectively, the calculation results show that the optimization effect by the improved by PSO is better than by other artificial intelligent algorithms, so the practicability of the improved PSO is proved.
出处
《电网技术》
EI
CSCD
北大核心
2004年第13期45-49,共5页
Power System Technology
关键词
电力系统
无功电压综合控制
粒子群优化算法
电能质量
函数优化
Algorithms
Artificial intelligence
Discrete time control systems
Electric potential
Electric power systems
Integrated control
Mathematical operators
Optimization
