采用复合自适应全局人工鱼群的微网并网优化运行研究  

Microgrid Connection Optimal Operation Study Based on Composite Adaptive and Global Artificial Fish School Algorithm

作　　者：黄元生[1] 李孝宇[1] 

机构地区：[1]华北电力大学经济管理系,河北保定071003

出　　处：《陕西电力》2013年第6期9-13,30,共6页Shanxi Electric Power

基　　金：中央高校基本科研业务专项资金资助项目:能源经济发展战略研究(编号:12ZD12);河北省软件学基地研究项目

摘　　要：微网是我国智能电网发展的关键技术之一,而微网的并网优化运行已成为当前国内外的研究热点。充分考虑微网中分布式电源的发电功率特性以及运行成本、燃料成本、环境成本、折旧成本、售电收入、购电费雨和启停成本,在计及功率平衡约束、交互功率约束、爬坡约束的条件下,以微网运行总运行成本最小为目标,构建了微网优化运行经济模型,并采用复合自适应全局人工鱼群算法求解。通过典型微网系统进行了实例仿真分析,证明该算法的有效性和正确性。Microgrid is one of the key technology in the development of Smart Grid in China, and the optimal operation of grid-connected microgrid has become the current research focus at home and abroad. This article gives full consideration to power characteristics of distributed generations and operating cost, fuel cost, environment cost, depreciation cost, power selling income, power purchase cost and start-up/shut-down costs under the condition of satisfying the power balance constraints, interactive power constraint, climbing constraints. Taking the total operation cost of mierogrid minimum as the goal, the mierogrid optimal operation economic model is set up, and the composite adaptive global artificial fish school algorithm is used. Through the typical case of microgrid system simulation analysis, the validity and the correctness of the algorithm are proved.

关 键 词：微网 优化运行 并网 复合自适应全局人工鱼群算法 

分 类 号：TM61[电气工程—电力系统及自动化]