Enhance the resilience of distribution system against direct and indirect effects of extreme winds using battery energy storage systems. (January 2022)

• Record Type: Journal Article
• Authors: Rajabzadeh, Mohammad; Kalantar, Mohsen
• Is Part Of: Sustainable cities and society. Volume 76(2022)
• Publication Date: 2022-01
• Subjects: Extreme Winds (EWs) -- Battery Energy Storage System (BESS) -- Load priority -- Microgrid -- Resilience -- Distribution System (DS); Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2021.103486
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: Enhancing the resilience of the distribution system considering both direct and indirect effects of extreme winds. Utilizing the fragility curve to obtain the failure probability of the electric pole against extreme winds. Prioritizing critical loads and setting penalties for curtailed ones. Using nine different battery technologies to strengthen the distribution system. Carrying out two-step optimization method with LP formulation. Abstract: The primary purpose of this paper is to enhance the resilience of the distribution system (DS) against the direct and indirect effects of extreme winds (EWs), considering the variety of batteries. Besides, the second objective is to use fines to prioritize the supply of critical loads in post-disaster conditions. This study attempts to use fragility curves for the failure probability of the electric pole (EP) against EWs and locate the batteries using the battery placement index. The optimal amount of power and energy of batteries for various technologies is achieved through the curtailed critical loads' reduction objective function. The two-objective function has been used in terms of resilience enhancement and penalty cost reduction of the curtailed priority loads. For better illustration, the DS of Urmia city is conducted as a case study. Finally, the analysis on a case study is carried out and results, are obtained. The results show an increase in the resilience index while the cost of curtailed critical loads penalties falls. Furthermore, a resilient DS is obtained by using different battery technologies against the destructive effects of EWs. This resilient system benefits from the load prioritization method in order to supply loads based on their importance in system improvement after the disaster.