摘要
提出了一种用于地区电网电压无功优化控制的新方法。根据目标函数中网损与节点电压和注入无功的相关性,动态自适应调整罚因子,以克服一般方法罚因子选取不灵活的问题;针对基本粒子群算法易陷入局部最优的现象,引入了一种改进的随机交叉粒子群算法,利用群体最优位置的信息改善粒子自身信息,增加种群多样性,加快算法收敛速度;为改善非理想运行情况下的电压质量以及实现省地自动电压控制(AVC)系统的协调控制,运用逐级优化和二次优化策略。将所提算法和控制策略用于地区电网AVC系统,运行结果表明该方法是可行有效的,能够显著减小网损并改善电压质量。
This paper puts forward a new approach for reactive power/voltage optimization control.Based on the correlation between network power loss and node voltages/injected reactive power,a dynamic adaptive adjusting method for penalty factors is presented to overcome the problem that penalty factors are inflexible in usual methods.Particle swarm optimization algorithm（PSO）is utilized in the optimization process.Original PSO is easy to fall into a locally optimized poin t,to address this problem,an improved stochastic crossover PSO is proposed,which can modify the positions of the current particles using the information of the best particle.The proposed algorithm can increase the population diversity and enhance the convergenc e speed.In addition,stage-by-stage optimization and secondary optimization strategies are introduced in order to improve the voltage quality and achieve coordinated control with provincial and regional automatic voltage control（AVC）system s.The proposed alg orithm and control strategy are applied to regional AVC,the results of practical grid verify the feasibility and effectiveness of the approach,and it can reduce the power loss and improve the voltage quality of power systems.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2010年第14期49-54,109,共7页
Power System Protection and Control
关键词
无功优化
罚因子动态调整
随机交叉
逐级优化
二次优化
reactive power optimization
penalty factors dynamic adjusting
stochastic crossover
stage-by-stage optimization
secondary optimization
