电网网架规划智能优化方法的研究与应用  

Application of intelligent optimization methods in power network planning

作　　者：马立新[1] 易欣[1] 孙进[1] 

机构地区：[1]上海理工大学光电信息与计算机工程学院上海市现代光学系统重点实验室,上海200093

出　　处：《信息技术》2013年第8期1-4,共4页Information Technology

基　　金：国家自然科学基金(F050304);国家科技部政府间科技合作项目(2009014)

摘　　要：电网网架规划对于电力系统的安全、优质、经济运行有着重大影响,而科学的规划方案则是其基础所在。介绍了传统的规划方法及其不足之处,运用三种智能算法分别设计IEEE-6节点和18节点系统的规划方案并对方案进行建模和仿真,对比结果表明了在电网规划中人工鱼群算法方案具有全局优化功能和良好的适应性,且投资费用最低。具有较广阔的应用前景和明显的经济效果,并能切实提高电网规划水平。Power network planning has a significant impact for the security, high-quality and economic operation of the power system, and its foundation is scientific planning programs. This paper describes the traditional methods of planning and its inadequacies. Uses of three intelligent algorithms were designed for the planning schemes of IEEE-6 node system and IEEE-18 node system, and modeling and simulation the programs, the results verify that artificial fish swarm algorithm scheme has good adaptability and global optimization features on grid planning, and its investment costs also is the lowest. This algorithm has broad application DroSl^CtS and nhvln.g ,~,-,~.,,,,,;,, ,~~r,~,,,~ o.,~ ： ~_^.：..^Limprove the level of grid planning.

关 键 词：电力系统 电网规划 智能算法 人工鱼群算法 

分 类 号：TM715[电气工程—电力系统及自动化]