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Alternative TitleResidential Demand Side Response Considering Energy Storages and Renewable Energy Sourced Generators
曹筱欧; 王冬; 周静; 徐科; 李超群; 李忠文; 李鹤鹏
Source Publication信息与控制
Indexed ByCSCD
Contribution Rank3
Funding Organization国家电网公司总部科技项目(SGTJDK00DWJS1600014)
Keyword两阶段随机规划 情景生成 需求响应 电池储能系统 不确定性
Other AbstractFew traditional demand response strategies consider an environment using renewable energy generation and storage systems, and such traditional strategies are not able to accommodate developmental trends and new challenges. For example, the randomness of power generation via renewable energy introduces cost risks for a demand response strategy, and the buffering effect of the storage system increases the complexity of the demand response model. This paper focuses on such issues and investigates a residential demand side response strategy that considers energy storage and renewable-energy-sourced generators. By considering the randomness of renewable energy and the buffering effect of the battery system, a two-stage stochastic programming model is constructed for a residential demand side response to reduce the cost risks due to forecast errors. Furthermore, a compromise between accuracy and the computation complexity of the model is determined that solves the model quickly without requiring a complex heuristics algorithm. Finally, the effectiveness of the proposed demand response strategy is verified using a comparison with the deterministic approach.
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Document Type期刊论文
Corresponding Author曹筱欧
Recommended Citation
GB/T 7714
曹筱欧,王冬,周静,等. 含储能及新能源发电的居民侧需求响应[J]. 信息与控制,2017,46(3):379-384.
APA 曹筱欧.,王冬.,周静.,徐科.,李超群.,...&李鹤鹏.(2017).含储能及新能源发电的居民侧需求响应.信息与控制,46(3),379-384.
MLA 曹筱欧,et al."含储能及新能源发电的居民侧需求响应".信息与控制 46.3(2017):379-384.
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