Abstract
Power system security against attacks is drawing increasing attention in recent years. Battery energy storage systems (BESSs) are effective in providing emergency support. Although the benefits of BESSs have been extensively studied earlier to improve the system economics, their role in enhancing the system robustness in overcoming attacks has not been adequately investigated. This paper addresses the gap by proposing a new battery storage sizing algorithm for microgrids to limit load shedding when the energy sources are attacked. Four participants are considered in a framework involving interactions between a robustness-oriented economic dispatch model and a bilevel attacker-defender model. The proposed method is tested with the data from a microgrid system in Kasabonika Lake of Canada. Comprehensive case studies are carried out to demonstrate the effectiveness and merits of the proposed approach.
Highlights
Secure electric power supply is facing great threats nowadays
The output of diesel generators and stored energy in battery at the hour before the attack are determined by Economic dispatch (ED) model which will affect the load shedding during restoration
The results show that Battery energy storage systems (BESSs) can be sized more strategically with the knowledge of attack times (ATs)
Summary
Secure electric power supply is facing great threats nowadays. Authorities and policy makers express their concerns and establish preventive measures in recent years. US Department of Energy released a report detailing how Western Area Power Administration ‘‘had not always established adequate physical security measures and practices for its critical assets’’ [4] Such concerns and actions were motivated by frequent occurrences of attacks in recent years. This paper aims to fill this gap by proposing a BESS sizing model for islanded microgrids to limit load shedding when energy sources are attacked. Attacks on shipboard power systems were considered when optimizing energy storage sizing and siting [25]. It does not accurately model the post-attack scenario. This paper analyzes the storage sizing requirements under various AT cases in the multi-time-period operation, which is rarely addressed in existing attack-defend models.
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