摘要
应用传统粒子群算法于电力系统无功优化问题存在收敛精度不高、陷入局部最优的缺点,而利用粒子群群体每次迭代的最优值取代其本次迭代的最差值,可提高粒子群算法的寻优特性。在鸡西电网的无功优化规划中,先对鸡西电网的每个节点进行灵敏度分析,选择部分节点做为无功补偿的候选节点,之后将所提算法应用于鸡西电网进行实际计算和分析,经过此方法对鸡西电网进行优化规划计算后,较好的改善了鸡西电网的电压水平和无功分布,提高了供电质量,大大降低了线损,有良好的理论价值和实用价值。
The particle swarm optimization is applied into the reactive power optimization, which is inadequate and insufficient to the optimal operation of power systems due to the inherent complexity, taking advantage of the best value of every iteration of PSO to taking place of the worst value in the same iteration of PSO, the ability of search has been improved. For the reactive power planning of Jixi Grid, analyzing the sensitivity of every bus of Jixi Grid firstly, choosing some buses as reactive power compensation＇ bus and then putting this method into reactive power planning of Jixi Grid, the experimental results show that after the present method＇ s calculation on Jixi reactive power planning, the voltage quality and distribution of reactive power optimization has been improved. Line loss also has been reduced. All of these fully proved that this method is really useful and has practical significance.
出处
《东北电力大学学报》
2010年第1期47-52,共6页
Journal of Northeast Electric Power University
关键词
电力系统
粒子群算法
鸡西电网
无功优化规划
power system
particle swarm optimization
Jixi Grid
reactive power optimization and planing
