基于模糊去约束法的V2M系统运行优化  

Fuzzy Control to Reduce the Constraints of V2M System Optimal Scheduling

作　　者：余岳[1] 粟梅[1] 孙尧[1] 董密[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《湖南大学学报（自然科学版）》2014年第10期77-83,共7页Journal of Hunan University:Natural Sciences

基　　金：国家自然科学基金资助项目(61174125)

摘　　要：选取一个含有EV(电动汽车)、光伏发电、风力发电、燃气轮机、蓄电池储能单元所组成的微电网运行优化问题作为研究对象,提出一种模糊去约束的求解方法.在系统对负载、光伏和风力发电出力有效监测和预测条件满足时使用这种方法,将EV与微网储能单元电池约束去除,将微电网带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,系统的优化效率有显著提高.This article studied the operation optimization of a microgrid power system consisting of EVs （electric vehicles）,a photovoltaic power,wind power,gas turbines,batteries and energy storage unit. When the loads,photovoltaic and wind power output for effective monitoring and forecasting conditions are met,we proposed to reduce the constraints in fuzzy control method,to remove the battery and EV con-straints,and then the microgrid with nonlinear constrained optimization problem was transformed to a lin-ear optimization problem.Compared with the traditional optimization methods and the unconstraints in fuzzy method,the optimization efficiency of the system has been greatly improved.

关 键 词：微电网 电动汽车 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]