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含储能及新能源发电的居民侧需求响应

曹筱欧 王冬 周静 徐科 李超群 李忠文 李鹤鹏

信息与控制2017,Vol.46Issue(3):379-384,6.
信息与控制2017,Vol.46Issue(3):379-384,6.DOI:10.13976/j.cnki.xk.2017.0379

含储能及新能源发电的居民侧需求响应

Residential Demand Side Response Considering Energy Storages and Renewable Energy Sourced Generators

曹筱欧 1王冬 1周静 2徐科 1李超群 1李忠文 3李鹤鹏3

作者信息

  • 1. 国网天津市电力公司滨海供电分公司, 天津 300010
  • 2. 国电南瑞科技股份有限公司, 江苏 南京 211106
  • 3. 中国科学院沈阳自动化研究所, 辽宁 沈阳 110016
  • 折叠

摘要

Abstract

Few 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.

关键词

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

Key words

two-stage stochastic programming/scenario generation/demand response/battery storage system/uncertainty

分类

信息技术与安全科学

引用本文复制引用

曹筱欧,王冬,周静,徐科,李超群,李忠文,李鹤鹏..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):379-384,6.

基金项目

国家电网公司总部科技项目(SGTJDK00DWJS1600014) (SGTJDK00DWJS1600014)

信息与控制

OA北大核心CSCDCSTPCD

1002-0411

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