A Real-Time Electricity Price Decision Model for Demand Side Management in Wind Power Heating Mode

Frontiers in Energy Research

Jian Li¹  Zhengyong Huang¹  Qiang Li¹  Fulin Fan²  Weijun Teng³ 

[1] Chongqing, China;Glasgow, United Kingdom;Zhengzhou, China;

关键词: demand side management;    electric heating;    real-time electricity price;    regenerative electric boiler;    wind power heating;   

DOI  :  10.3389/fenrg.2021.634603

来源: Frontiers

【 摘 要 】

The problem of wind power curtailment (WPC) during winter heating periods in China’s “Three-North regions” is becoming worse. Wind power heating, though being an effective way to increase wind power consumptions, is constrained by high electric heating costs under a peak-to-valley electricity price pattern. This study develops a real-time price (RTP) decision model which adjusts the time-varying RTPs within an acceptable range of heating users based on the WPC distribution over a particular dispatch day. The lower RTPs accompanying the higher WPC can guide the electric heating user side equipped with regenerative electric boilers (REBs) to actively increase REB imports to absorb additional wind generation. Then, the demand side response using REBs under the RTP scheme is optimized to minimize the total heating cost met by electric heating users while assisting in the large-scale wind generation accommodation. The total heating costs and WPC reductions under different heating scenarios are compared and discussed alongside the effectiveness of the RTP-based demand side management in terms of reducing the WPC and heating costs and increasing the feasibility of wind power heating during winter heating periods.

【 授权许可】

CC BY