引用本文: | 周欣怡,齐先军,吴红斌,等.提高需求响应可靠性的储能优化配置研究[J].电力系统保护与控制,2021,49(2):107-114.[点击复制] |
ZHOU Xinyi,QI Xianjun,WU Hongbin,et al.Research on optimal allocation of energy storage to improve the reliability of demand response[J].Power System Protection and Control,2021,49(2):107-114[点击复制] |
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摘要: |
提出了基于用户需求曲线的需求响应不确定性模型,通过区间弹性系数反映用户响应行为的不确定性,并得到不确定需求曲线。为提高需求响应的可靠性,基于用户响应偏差的区间数构建了负荷聚合商的储能优化配置模型,利用蒙特卡洛模拟求解该模型得到储能配置方案,并就储能对需求响应可靠性的改善效果进行评估。PJM历史数据仿真表明,所提模型和算法能有效改善用户的需求响应偏差,优化负荷曲线,提高需求响应的可靠性。 |
关键词: 需求响应 负荷聚合商 区间数 可靠性 储能优化配置 |
DOI:DOI: 10.19783/j.cnki.pspc.200314 |
投稿时间:2020-03-26修订日期:2020-09-16 |
基金项目:国家重点研发计划项目资助(2016YFB0901100) |
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Research on optimal allocation of energy storage to improve the reliability of demand response |
ZHOU Xinyi,QI Xianjun,WU Hongbin,ZHANG Jingjing,YANG Shihai,LI Zhixin |
(1. Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving (Hefei University of Technology),
Hefei 230009, China; 2. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024, China) |
Abstract: |
A demand response uncertainty model based on the user demand curve is proposed, which reflects the uncertainty of user response behavior by the interval elastic coefficient, and the uncertain demand curve is obtained. In order to improve the reliability of demand response, an optimal allocation model of energy storage of load aggregator is constructed based on the interval number of user response deviation, and a Monte Carlo simulation is used to solve the model to obtain the energy storage configuration plan. An improvement in the energy storage on demand response reliability is evaluated. PJM historical data simulation shows that the proposed model and algorithm can effectively improve the user's demand response deviation, optimize the load curve, and enhance the reliability of demand response.
This work is supported by the National Key Research and Development of China (No. 2016YFB0901100). |
Key words: demand response load aggregator interval number reliability optimal allocation of energy storage |