摘要
随着“双碳”战略的不断推进,新能源装机并网数量不断增长,使得电力系统结构形态发生深刻变化,实现低碳,绿色,环保发展已经成为全人类的共识。因此,分布式发电也受到人们的高度重视,分布式能源(DER)在配电网中的合理配置至关重要,若是DER接入配电网的位置以及容量选择不合理,则会造成配电网线路损耗、节点电压越线和运行费用增加等。本文引入了一种新颖的方法来解决DER接入配电网的选址与定容的问题,该方法通过与逼近理想排序法和改进的大象放牧优化算法相结合。从而得到了一个复杂的现实生活多目标DER规划问题,并利用本文提出的方法进行求解。目的是确定分布式能源在配电系统当中的最佳地点和容量大小,以最大限度地提高公用事业和消费者的整体利益。并将所提出的方法在IEEE33节点上进行仿真。基于IEEE33节点算例的仿真结果表明以及对比其它文献所用的方法,本文所提出的优化方法对于DER接入配电网的选址与定容的问题具有更好的全局收敛效率和寻优能力。
With the continuous advancement of the“double carbon”strategy,the number of new energy installed and connected to the grid is increasing,which makes the structure of the power system change profoundly.It has become the consensus of all mankind to achieve low-carbon,green and environmental protection development.Therefore,distributed generation is becoming more and more prominent in the world.The rational allocation of distributed energy(DER)in distribution network is very important.If the location and capacity of DER access to distribution network are unreasonable,it will cause distribution network line loss,node voltage crossing and operation cost increase.This paper introduces a new method to solve the problem of location and capacity of DER access to distribution network.This method is combined with the approximate ideal sequence method and the improved elephant grazing optimization algorithm.Thus,a complex multi-objective DER planning problem in real life is obtained and solved by the method proposed in this paper.The aim is to determine the optimal location and capacity of distributed energy in distribution systems to maximize the overall interests of utilities and consumers.The proposed method is simulated on IEEE33 node.Based on the simulation results of the IEEE33 node example and the comparison with the methods used in other literatures,the proposed optimization method has better global convergence efficiency and optimization ability for the location and sizing of DER access distribution network.
作者
左超文
刘敏
何旺
ZUO Chaowen;LIU Min;HE Wang(College of Electrical Engineering,Guizhou University,Guiyang 550025,China)
出处
《智能计算机与应用》
2023年第8期80-87,共8页
Intelligent Computer and Applications
关键词
分布式能源(DER)
配电系统
象群优化算法
自然启发
distributed energy resources(DERs)
distribution systems
elephant optimization algorithm
natural inspiration
