基于改进二元蚁群算法的发输电系统充裕度评估  

Adequacy Assessment of Generation and Transmission System Based on Improved Binary Ant Colony Algorithm

作　　者：曾鸣[1] 邱柳青[1] 

机构地区：[1]华北电力大学能源与电力经济研究咨询中心,北京102206

出　　处：《华东电力》2011年第10期1574-1578,共5页East China Electric Power

基　　金：教育部博士点基金资助项目(200800790007);美国能源基金会项目(G-1006-12630)~~

摘　　要：随着智能电网的建设以及可再生能源发电的并网,电力系统网络容量和规模不断扩大,各种不确定性因素不断增加,对发输电系统充裕度评估工作带来了新的挑战。提出发输电系统充裕度评估指标,分析二元蚁群算法的搜索原理,并利用考虑搜索序列顺序的信息素浓度更新机制对该算法进行改进;在此基础上,提出利用改进二元蚁群算法评估含风电并网的发输电系统充裕度的流程,建立评估模型;最后,利用改进的Garver-6节点系统分析含风电并网的发输电系统的充裕度评估方法,并与蚁群算法、二元蚁群算法对比,验证改进的二元蚁群算法的有效性。As the development of smart grid and the integration of renewable energy power generation, the capacity and scale of power system is expanding, and variety of uncertainties are increasing. Thus, there are new challenges for adequacy assessment work in generation and transmission system. The adequacy assessment indicators of generation and transmission system Were proposed, and the principle of binary ant colony algorithm was discussed. Then, improved binary ant colony algorithm was suggested by using update mechanism of pheromone concentration considering search sequence. And a process and model of adequacy assessment of generation and transmission system containing wind power generation was displayed using improved binary ant colony algorithm. Finally, an improved Garver-6-bus system was introduced to access adequacy of generation and transmission system containing wind power generation. The improved binary ant colony algorithm was compared to traditional ant colony algorithm and binary ant colony algorithm.

关 键 词：发输电系统 充裕度评估 风电 改进二元蚁群算法 

分 类 号：TM711.2[电气工程—电力系统及自动化]