Research on Real-time Pricing Strategy of Smart Grid Based on Behavioral Economics

2019 5th International Conference on Energy Materials and Environment Engineering

能源学;生态环境科学

Yan, Leping^1 ; Li, Yan^1 ; Xu, Tianqi^1 ; Wang, Shouda^1 ; Zhang, Xin^1

School of Electrical and Information Engineering, Yunnan Minzu University, Kunming, Yunnan

650500, China^1

关键词: Behavioral economics;    China's electricities;    Daily load curves;    Electricity prices;    Generating companies;    Interactive modeling;    Power grid company;    Stability of power system;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/295/4/042121/pdf
DOI  :  10.1088/1755-1315/295/4/042121

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

With the rapid development of economy and the acceleration of the construction of smart grid, great changes have taken place in China's electricity market. New pricing mechanism has emerged in the electricity market. Real-time pricing (RTP) demand side management has been applied to smart grid, which improves the operation mode of power market, dynamically reflects the process of power resources being absorbed and improves the stability and security of power system. The article obtains from the power companies and users, compares several common pricing mechanisms, reasonably analyses the users' responses under real-time pricing, formulates a more efficient real-time pricing mechanism, presents a modeling method for generating companies directly to users and maximizes their utility, establishes a mufti-layer interactive model of real-time pricing, improves the transparency of electricity prices in the power market, and encourages users to choose their own electricity and actively participate in the regulation of power market. According to elastic price lever, it can give rise to adjust the balance between supply and demand of power market, optimize the daily load curve of users, reduce the peak-valley difference of power supply of power grid companies and improve the stability of power system.