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考虑不确定性的家庭能源管理系统建模与优化方法研究
Alternative TitleStudy of Integrated Modelling and Optimization Method for Home Energy Management System Considering Uncertainties
曹筱欧; 杨伟光; 宋杰; 姚程; 杨宇全; 臧传治
Department工业控制网络与系统研究室
Source Publication信息与控制
ISSN1002-0411
2017
Volume46Issue:3Pages:365-372
Indexed ByCSCD
CSCD IDCSCD:6017937
Contribution Rank3
Funding Organization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)
Keyword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
Abstract本文提出了一种面向居民用户需求响应的家庭能源管理机制。考虑了用户的可控负荷、电动汽车和储能系统的联合调度,以及分布式光伏发电和不可控负荷的随机波动,建立了以用户期望用电成本最小为目标的随机优化模型,采用了一种二值粒子群与内点法相结合的混合优化算法对优化模型进行求解。该算法应用二值粒子群处理优化模型中的离散变量然后应用内点法来处理连续变量,克服了二值粒子群算法难以处理复杂等式及不等式约束的缺点。仿真结果表明提出的优化模型及采用的算法能够减少随机性对调度结果的影响,帮助用户减少用电成本。
Other AbstractThis 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.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/20974
Collection工业控制网络与系统研究室
Corresponding Author曹筱欧
Affiliation1.国网天津市电力公司滨海供电分公司
2.国电南瑞科技股份有限公司
3.中国科学院沈阳自动化研究所
Recommended Citation
GB/T 7714
曹筱欧,杨伟光,宋杰,等. 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.
APA 曹筱欧,杨伟光,宋杰,姚程,杨宇全,&臧传治.(2017).考虑不确定性的家庭能源管理系统建模与优化方法研究.信息与控制,46(3),365-372.
MLA 曹筱欧,et al."考虑不确定性的家庭能源管理系统建模与优化方法研究".信息与控制 46.3(2017):365-372.
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