基于粒子群算法的电力系统无功优化及补偿点的确定

Power System Reactive power Optimization Based on Particle Swarm Optimization Algorithm and the Confirmation of Compensation Node

根据简单交流电路的电压电流特性推导出节点电压临界崩溃的条件,提出了无功裕度的概念。根据节点无功裕度的排序确定了电力系统无功补偿点,并在此基础上用粒子群算法进行电力系统无功优化。该方法使电力系统无功分布更合理,实现无功就地补偿。IEEE 14节点算例的仿真结果表明该方法是有效和可行的。

Based on the features of simple alternating-current circuits, the critical collapse conditions of the nodal voltage is deduced and a concept of reactive power margin is proposed. The node installed with power system reactive power compensator is determined by the ordering of reactive power margins of nodes. After the confirmation of compensating node, optimized reactive power plan is implemented by particle swarm optimization algorithm. Using the proposed method, reactive power sources can he rationally configured, reactive power can be balanced locally. Simulation results of IEEE 14-bus system show that the proposed method is effective and feasible.