智能电网中的家庭用电系统建模与优化分析  

Model and optimization analysis for household electricity consumption system in smart grid

作　　者：杨明[1] 王元超[1] 向东[1] 王丹[1] 付国宏[1] YANG Ming WANG Yuan-chao XIANG Dong WANG Dan FU Guo-hong(State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Chin)

机构地区：[1]华中科技大学电气与电子工程学院强电磁工程与新技术国家重点实验室,武汉430074

出　　处：《电力需求侧管理》2017年第4期6-10,共5页Power Demand Side Management

摘　　要：为了实现电网削峰填谷、节约居民用电成本的目的,需要对家庭用电负荷进行更加合理的引导。综合考虑家庭用电负荷的连续性、可中断性以及负荷之间的关联性、顺序性、强依附性等特性,以分时电价为背景,建立了计及储能系统的家庭智能用电系统模型,包括负荷运行模型、蓄电池充放电模型和经济性优化模型。提出利用0—1变量对模型决策变量进行编码,将优化问题转化为混合整数线性规划问题,并采用Gurobi数学规划软件包求解,大大降低了问题的求解难度。在Matlab环境下,对家庭用电负荷数据进行仿真计算,仿真结果表明,模型和优化策略能够实现转移家庭用电负荷以及降低用电费用的目的。In order to realize peak shaving and reduce the cost of household electricity consumption, it is necessary to guide the household electricity load more reasonably. In this paper, accord- ing to the continuity and discontinuity of household electricity load and the relevance, order, strong dependence and other characteris- tics among household electricity load, in the background of time-of- use price, a smart household power consumption system model is built including the load model, the storage battery model and the economic optimization model. A method is presented to transform the optimization problem into a mixed integer linear programming problem by encoding of the decision variables model using 0-1 vari- ables. The problem can be solved by Gurobi programming software, which greatly reduces the difficulty of solving the problem. In the Matlab environment, the simulation of the household electricity load data is carried out. The simulation result shows that the model and the optimization strategy can realize the transfer of household elec- tricity load and reduce the cost of electricity.

关 键 词：智能电网 家庭智能用电系统 优化 分时电价 

分 类 号：TM76[电气工程—电力系统及自动化]