信息与控制2017，Vol.46Issue(3)：365-372,8.DOI:10.13976/j.cnki.xk.2017.0365
考虑不确定性的家庭能源管理系统建模与优化方法研究
Study of Integrated Modelling and Optimization Method for Home Energy Management System Considering Uncertainties
摘要
Abstract
This paper proposes a home energy management mechanism for residential demand response and formulates a stochastic optimal scheduling model aimed to minimize expected electricity costs by coordinating controllable appliances, electric vehicles, energy storage systems, and uncertainties in solar generation and uncontrollable loads.A mixed optimization algorithm combining binary particle swarm optimization (BPSO) and the interior point (IP) method is adopted to solve the model;this employs BPSO to handle discrete variables and the IP method to tackle continuous variables, which thus overcomes the weakness of BPSO in handling complex equations and inequation constraints.Simulation results show that the proposed optimization model and algorithm can reduce the effect of randomness on scheduling results and assist in reudcing electricity costs for residential customers.关键词
需求响应/家庭能源管理系统/随机规划/二值粒子群优化/电动汽车Key words
demand response/home energy managementsystem/stochastic programming/binary particle swarmoptimization/electric vehicle分类
信息技术与安全科学引用本文复制引用
曹筱欧,杨伟光,宋杰,姚程,杨宇全,臧传治..考虑不确定性的家庭能源管理系统建模与优化方法研究[J].信息与控制,2017,46(3):365-372,8.基金项目
国家电网公司总部科技项目"面向能源互联网的多源协调优化运行应用研究"(SGTJDK00DWJS1600014) （SGTJDK00DWJS1600014）
