Large-scale Demand Response Based on Customer Directrix Load

被引:0
|
作者
Fan, Shuai [1 ]
Jia, Kunqi [1 ]
Wang, Fen [1 ]
Wang, Zhihua [2 ]
Yang, Lin [1 ]
He, Guangyu [1 ]
机构
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai,200240, China
[2] Electric Power Dispatching and Control Center of State Grid Shanghai Municipal Electric Power Company, Shanghai,200122, China
基金
中国国家自然科学基金;
关键词
Sales;
D O I
10.7500/AEPS20191107001
中图分类号
TM614 [风能发电];
学科分类号
0807 ;
摘要
With the penetration of high-proportion renewable energy, the regulation capability of generation resources reduces significantly, and the curtailment of wind power and photovoltaic are huge if only relying on conventional controllable power sources. To solve the problems above, this paper proposes a power balancing scheme by regulating controllable resources to satisfy the uncontrollable resources, and coordinating large-scale demand-side resources in demand response (DR) mechanism. Firstly, the limitations of diverse DR mechanisms in large-scale DR are analyzed, especially several problems of customer baseline load (CBL). Secondly, the definition, model and response evaluation indices of the customer directrix load (CDL) are proposed together with the CDL-based DR implementation scheme. CDL is defined as a desired load profile that could effectively offset the uncontrollable fluctuations in power system. DR customers are incentivized to individually reshape their power usage ways to approach CDL considering their preferences, and the controllable resources will achieve real-time power balance with uncontrollable resources. Compared with the current DR mechanisms, CDL is more feasible to be deployed and more suitable for large-scale promotion, which fundamentally enhances the system regulation capability and greatly promotes the consumption of renewable energy. Based on the built test system, the results of the case study indicate that the proposed mechanism can significantly reduce the curtailment of wind power and photovoltaic. © 2020 Automation of Electric Power Systems Press.
引用
收藏
页码:19 / 27
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