A novel cooperative decentralized framework based on peer‐to‐peer energy transactions in networked microgrids to improve the resilience. Issue 5 (3rd January 2023)

• Record Type: Journal Article
• Authors: Doostizadeh, Mohammad; Jalili, Hasan; Babaei, Abbas
• Is Part Of: IET renewable power generation. Volume 17:Issue 5(2023)
• Page Start: 1224
• Page End: 1241
• Publication Date: 2023-01-03
• Subjects: cooperative operation -- networked microgrid -- peer‐to‐peer energy transactions -- resilience; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/rpg2.12677
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract: Severe events such as floods, earthquakes, and hurricanes cause disruption in the distribution networks and cause them to be islanded. In such circumstances, microgrids can be separated from the main grid with the help of their technical and communication infrastructure and transfer energy with each other to reduce their operation and outage costs. Therefore, energy management in a networked microgrid requires a modern operating framework to cause microgrids to supply each other with the energy they need. So, in this paper, a cooperative framework to improve the resilience response of microgrids has been proposed based on peer‐to‐peer energy transactions. In the developed model, since the microgrids are operated in a cooperative and networked manner, they sell energy to each other at the lowest possible cost. Utilizing the developed model, microgrids can improve their resilience response by peer‐to‐peer energy transactions in addition to reduce their operating costs, compared to the independent and non‐cooperative models. To evaluate the efficiency of the proposed method, simulations have performed on a system with 14 microgrids, and the obtained results have compared and analysed. The results obtained have shown the efficiency of the proposed method in increasing resilience and reducing operating costs. Abstract : In the literature, the MG operation has been studied to reduce the operating costs and improve the resilience response. These studies have applied centralized and decentralized approaches to model the transaction between MGs.