Research on the deep peak-shaving cost allocation mechanism considering the responsibility of the load side

Frontiers in Energy Research

Energy Research

Xu Yueyang¹  Liu Chuang¹  Zhao Yang¹  Ge Weichun¹  Xiang Ziwei¹  Cai Guowei¹  Wang Yibo² 

[1] Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Northeast Electric Power University, Jilin, China;null;

关键词: deep peak-shaving;    value assessment;    benefit distribution;    load side;    market rules;   

DOI  :  10.3389/fenrg.2023.1182620

 received in 2023-03-09, accepted in 2023-05-15,  发布年份 2023

来源: Frontiers

【 摘 要 】

With the goal of carbon reduction, China has carried out a series of institutional reforms and innovations in renewable energy consumption. However, the existing allocation rules for peak-shaving costs concentrate on the power side only. In the context of high energy penetration rates, peak-shaving cost significantly increases, and the economic pressure on the power side sharply increases. As the beneficiaries of peak shaving, the load side, while enjoying clean energy, also needs to bear the responsibility of peak shaving and share part of the peak-shaving cost. In this regard, this paper proposes a peak-shaving cost allocation mechanism considering load-side participation. First, it uses the marginal contribution theory to establish the peak-shaving value evaluation model of the power and load. Then, based on the waveform similarity theory, it sets two indicators “Fluctuation Trend Similarity” and “Waveform Amplitude Difference” to evaluate each load’s renewable energy consumption responsibility. Finally, the peak-shaving cost allocation rules on the power source side and the load side are obtained. An example shows that the proposed allocation mechanism can initially realize the uniform distribution of power and load in peak-shaving cost. Furthermore, the method can promote the fairness of the peak-shaving market and guide users to reasonably participate in the peak-shaving market.

【 授权许可】

Unknown   
Copyright © 2023 Yang, Yibo, Chuang, Guowei, Weichun, Yueyang and Ziwei.