1.School of Electrical Engineering, Sichuan University, Chengdu 610065, China;2.China Electric Power Research Institute, Beijing 100192, China;3.State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Chongqing 400044, China
With the deregulation of the power sale side, distributed power generation and electricity sale companies compete together and form a trading market with multiple electricity sale entities. However, existing trading models have many drawbacks. For example, the uniform pricing of network fees is difficult to fairly deal with the impact of different transactions on grid operation costs, and the centralized transaction form is difficult to efficiently and economically process a large number of distributed transactions. Therefore, it is especially important to establish a reasonable trading model. For this reason, this paper discusses the peer-to-peer transaction model of multiple electricity sellers with the dynamic network fee mechanism. Considering the small-volume and high-frequency characteristics of peer-to-peer transactions, the min-max problem of dynamic network fees based on sensitivity coefficients is established and solved. Using the matching mechanism of continuous double auctions and considering the general-customized service provided by electricity sellers, the multi-round transactions mechanism of two continuous double auctions with dynamic network fees is proposed. In multi-round transactions, a real-time rolling network verification method is proposed for each round of transactions. Considering the psychological behavior of both parties of the transaction, an improved disappointment-regret avoidance theory is proposed to update the quotation. Simulation results show that the proposed dynamic network fee mechanism can allocate the operation cost of the power grid more reasonably according to the characteristics of each transaction, and the designed peer-to-peer transaction mechanism can safely, economically and efficiently realize the multilateral bidding transactions considering the dynamic network fees.
This work is supported by National Natural Science Foundation of China (No. U2066209).
|||WU Zhiguo, LIU Jichun, ZHANG Shuai, et al. Peer-to-Peer Transaction Model of Multiple Power Sellers and Its Dynamic Network Fee Mechanism[J]. Automation of Electric Power Systems,2021,45(19):100-108. DOI:10.7500/AEPS20210105005|