放松管制环境下基于改进布谷鸟搜索算法的DGO与DNO效益均衡模型  

Benefit Equilibrium Model of DGO and DNO in Deregulated Environment Based on ICSA

作　　者：陈政 曾鸣[2] 张翔 常启诚 欧鹏[1,2] 宋艺航 钱琪琪 欧阳邵杰[2] 刘英新[2] 

机构地区：[1]南方电网科学研究院,广州市510080 [2]华北电力大学经济与管理学院,北京市102206 [3]北京邮电大学,北京市100876

出　　处：《电力建设》2015年第8期7-14,共8页Electric Power Construction

基　　金：国家自然科学基金项目(71271082)~~

摘　　要：近年来,分布式发电以其节能、环保等特点发展快速。然而在分布式发电接入配电网的过程中,会对配电网运营商(distribution network operators,DNO)的利益造成影响,从而阻碍两者的协调发展。为了兼顾配电网运营商与分布式发电商(distributed generation owners,DGO)的利益,研究了分布式发电投资及配电网建设规划的联合优化问题。在构建目标函数过程中引入利润分配系数从而达到双赢目的,同时需要满足配电网安全稳定运营及减排目标约束。对于模型中存在的不确定性因素使用两点估计法进行确定,使用改进的布谷鸟搜索算法求解所建模型。最后以IEEE33节点配电系统为例,通过不同情境之间的对比分析验证了所提出方法的有效性和可行性。In recent years, distributed generation obtains rapid development for its energy-saving and environment protection. However, the network access of distributed energy will cause certain impact on the interests of the distribution network operators （DNO）, which may hinder harmonious development of them. This pape reconciled the both interests of DNO and distributed generation owners （ DGO）, and studied the combined optimization problem of distributed generation investment and distribution network construction planning. The profit distribution coefficient was introduced during the construction of objective function so as to achieve the win-win purpose. Besides, the model needed to satisfy both the security and stability operation of distribution network and the emission reduction targets constraints. And the two-point estimate model was used to determine the uncertainty factors in the model. This paper used improved cuckoo search algorithm （ICSA） to solve the constructed model. At last, a IEEE33 nodes distribution system was used to verify the feasibility and effectiveness of the provided model by cases comparison.

关 键 词：放松管制 效益均衡 分布式发电商 配电网运营商 改进的布谷鸟搜索算法 

分 类 号：TM715[电气工程—电力系统及自动化]