计及可时移负荷的海岛微网电源优化配置  

Optimal Sizing of Distributed Generation in a Typical Island Microgrid With Time-shifting Load

作　　者：刘柏良[1] 黄学良[1] 李军[2] 

机构地区：[1]东南大学电气工程学院,江苏省南京市210096 [2]南京工程学院电力工程学院,江苏省南京市211167

出　　处：《中国电机工程学报》2014年第25期4250-4258,共9页Proceedings of the CSEE

基　　金：国家863高技术基金项目(2012AA050210);江苏省科技支撑计划项目(BE2011174);江苏省政府留学奖学金(JS-2012-052)~~

摘　　要：优化配置分布式电源容量,提高供电可靠性和经济性是微网规划的关键问题。文中在海岛微网规划中加入海水淡化类可时移负荷,以便更好地跟踪可再生能源发电,并解决海岛淡水需求困难。根据海岛用户年负荷需求和供电可靠性要求,结合不同岛屿气象条件、地理位置情况、海水淡化需求,构建风/光/储/柴等多类电源组合,采用混沌自由搜索算法,得到海岛微网分布式电源容量的最优配置方案,并用Matlab编程实现。结果表明,海水淡化类可时移负荷的加入可降低海岛微网优化配置方案的投资冗余度,使资源利用最大化。在算法收敛特性及最优解求解两个指标中,与传统优化算法进行对比,证明了混沌自由搜索算法在快速收敛特性和全局寻优方面具有明显的优势。The optimal sizing method for distributed resource to improve the power supply reliability and economy efficiency is a critical issue for an islanded microgrid. This paper presented the time-shifting desalination load in an island microgrid to track renewable energy generation better and provide fresh water. A novel chaotic free search （CFS） algorithm to solve for optimal sizing problem of distributed resource was proposed. According to the annual load and power supply reliability, combined with the annual meteorological conditions and residential water consumption, the optimal sizing problem of an island microgrid was resolved by Matlab programming. The optimal sizing result showed that considering time-shifting desalination load can reduce redundant investment to maximize resource utilization. Compared with traditional optimization algorithms, the simulation results verified that the proposed algorithm had the obvious superiority in the fast convergence property and the global optimization

关 键 词：微网 可时移负荷 优化配置 混沌自由搜索算法 

分 类 号：TM715[电气工程—电力系统及自动化]