基于模糊去约束法的微电网系统运行优化  

Microgrid system optimal scheduling based on fuzzy control constraint reduction

作　　者：余岳[1] 粟梅[1] 孙尧[1] 韩华[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083

出　　处：《仪器仪表学报》2014年第5期1022-1028,共7页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(61174125)资助项目

摘　　要：在微电网的运行优化中,由于电池约束条件的特殊性,系统运行优化是含非线性约束的优化问题,因此通常采用诸如PSO算法、动态规划等算法进行求解。这类算法普遍存在求解效率不高的问题。选取一个含有光伏发电、风力发电、燃气轮机、电池储能单元所组成的并网型微电网运行优化问题作为研究对象,提出一种模糊去约束法,将电池约束去除,将微电网含非线性约束的优化问题转变为线性优化问题。对比传统优化方法和模糊去约束法,系统的优化效率有了显著的提高。In the optimization of micro-grid system operation,due to the particularity of the battery constraint,the optimization of the system operation is an optimization problem containing nonlinear constraints; the algorithms,such as PSO algorithm,dynamic programming algorithm are usually used for the system solution.These algorithms generally have low efficiency.In this paper,the operation optimization problem of a micro-grid power system consisting of photovoltaic power generation,wind power generation,gas turbine and battery energy storage unit is taken as the study object; a fuzzy control constraint reduction method is proposed.The battery constraint is removed,and the optimization problem of the micro-grid with nonlinear constraints is transformed into a linear optimization problem.Compared with traditional optimization methods,the new fuzzy control constraint reduction method improves the system optimization efficiency significantly.

关 键 词：微电网 模糊控制 去约束 运行优化 

分 类 号：TM715[电气工程—电力系统及自动化]