基于粒子群算法的智能换相策略研究

针对我国城乡配电台区中大量单相负荷在三相随机分布中造成的三相负荷不平衡现象,提出基于粒子群算法的智能换相开关,以解决三相不平衡问题.根据当前三相的电量信息及负荷状态,制定智能换相策略,指导换相开关切换负荷在三相中的连接相别,使三相达到平衡状态.针对粒子群算法本身缺陷进行改进,通过仿真及试验验证,证明了智能换相策略的可靠性.

Research on Intelligent Commutation Strategy Based on Particle Swarm Algorithm

Most of the distribution methods in my country"s power distribution area are three-phase four-wire systems. In urban and rural distribution areas, most of them are single-phase loads, which are random, and the load is unevenly distributed on the three phases, so loads will be generated. Unbalanced state. Once the three-phase unbalance occurs, it will not only damage the operating state of the transformer, but also greatly affect the service life of the electrical equipment. The use of smart commutation switches can safely and reliably solve the three-phase imbalance problem. The smart commutation switch formulates and executes the commutation plan based on the current three-phase power information. The optimized algorithm plays a decisive role in the commutation plan. This paper focuses on the realization of particle swarm algorithm in intelligent commutation switch, so as to find an efficient and reliable commutation strategy.