Distribution network congestion management considering time sequence of peer-to-peer energy trading

• Published in: International journal of electrical power & energy systems Vol. 136; p. 107646
• Main Authors: Zhou, Wei, Wang, Yuying, Peng, Feixiang, Liu, Ying, Sun, Hui, Cong, Yu
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2022
• Subjects: Ancillary service market; Congestion management; Distributed energy resource; P2P energy market; P2P energy trading; Congestion management; P2P energy trading; Distributed energy resource; Ancillary service market; P2P energy market
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2021.107646

•A congestion management model considering the time sequence of P2P energy trading based on the CDA mechanism is proposed.•A two-tier market coordination mechanism of the P2P energy market and ancillary service market is proposed.•A cost and benefit analysis of different market participants is conducted.•Economic constraints are specially considered in the congestion management model.•The simulation results of two network scales verify the effectiveness, economy, and scalability of the proposed method. In the deregulated energy market environment, small-scale peer-to-peer (P2P) energy trading can increase the distributed photovoltaic power generation consumption and promote local energy balance. However, it also increases the possibility of security constraints violations during the operation of the utility grid. To solve physical network congestion caused by distributed P2P energy trading, we propose a method that considers the time sequence of P2P energy trading based on a continuous double auction (CDA) mechanism. In addition, to make full use of the users’ flexibility to solve the network congestion, a two-tier market (P2P energy market and ancillary service market) coordination mechanism is proposed. The congestion management model includes two parts. One is congestion responsibility determination and congestion cost allocation in the P2P energy market, and the other is flexible services purchasing in the ancillary service market for minimizing congestion costs. The cost and benefit constraints are specially added in the congestion management model to reduce the economic loss of the grid and users. The proposed method is tested on 11-bus and IEEE 33-bus radial distribution systems to illustrate the effectiveness and scalability of this method. The simulation results show that the proposed mechanism and model effectively perform congestion management considering distributed P2P energy trading, and the results are profitable to users participating in both markets.