含有分布式电源的主动配电网多目标优化

Multi-objective Optimization of Active Distribution Network with Distributed Generation

分布式电源接入配电网,对配电网的运行起着重要的作用。在适当的位置接入合理容量的分布式电源,能够降低配电网的网损,提高配电网供电的可靠性。该文以配电网的损耗、节点电压偏差以及电压稳定指标为目标,建立了分布式电源的多目标优化模型。在满足约束条件的前提下,提出了一种改进的多目标粒子群遗传算法,并结合小生境技术,来确定分布式电源接入配电网的合理位置和容量。采用IEEE33节点系统进行仿真,验证了所建立的模型以及算法的优越性,对配电网的规划有很大的实际意义。

Distributed generation plays a vital role in the operation of distributed network.Accessing a reasonable capacity of the distributed generation in the appropriate position can reduce the distribution network loss and improve the reliability of distribution network power supply.The multi-objective optimization model of distributed generation is established based on the network loss,node voltage deviation and static voltage stability margin of distribution network.Under the premise of satisfying the constraint condition,this paper proposed an improved multi-objective particle swarm optimization and combined niche technology to determine the reasonable position and capacity of the distributed generation.Finally,rationality and superiority of the established model and the method were verified by the simulation results for IEEE33-bus distribution system,it has great practical significance to the planning of the distribution network.