含电动汽车的电力系统动态环境经济调度  

Dynamic environmental and economic dispatch of power system with EVs

作　　者：朱永胜[1,2] 王杰[1] 瞿博阳[2] 李健[2] SUGANTHAN P N 

机构地区：[1]郑州大学电气工程学院,河南郑州450001 [2]中原工学院电子信息学院,河南郑州450007 [3]南洋理工大学电机与电子工程学院,新加坡639798

出　　处：《电力自动化设备》2016年第10期16-23,共8页Electric Power Automation Equipment

基　　金：国家自然科学基金资助项目(61305080);河南省科技攻关计划项目(132102210521);河南省教育厅科学技术研究重点项目(17A470006)~~

摘　　要：为应对电动汽车规模化应用给电力调度带来的挑战,构建含电动汽车的动态环境经济调度模型。该模型将各调度时段电动汽车的"车-网"互动(V2G)功率以及常规机组的出力作为决策变量,以总燃料费用和污染排放量作为优化目标,在满足系统能量及用户出行需求的前提下,动态管理电动汽车的充放电行为。设计一种采用改进MOEA/D的优化调度求解方法,并提出基于罚函数的决策变量两步制动态约束处理策略。测试系统的仿真结果验证了所提调度模型及方法的合理性及有效性。A dynamic environmental and economic dispatch model including EVs（Electric Vehicles） is constructed to cope with the challenge brought by the large-scale EV application to the power dispatch,which takes the V2G（Vehicle to Grid） power and the conventional generator outputs of each dispatch period as the decision variables,takes the total fuel cost and the pollution emission as the optimization objectives,and dynamically manages the charging / discharging behaviour of EVs to meet the demands of system energy and user travel. An improved MOEA / D is designed to solve the optimal dispatch model and a strategy based on the penalty function is proposed to dynamically process the constraints of decision variables in two steps.The rationality and effectiveness of the proposed model and method are verified by the simulative results of a test system.

关 键 词：电力系统 电动汽车 动态环境经济调度 MOEA/D 多目标优化 

分 类 号：TM73[电气工程—电力系统及自动化] U469.72[机械工程—车辆工程]