Stochastic Energy Management for Battery Storage System-Based Microgrid Considering Different Forecasting Models

Zahraoui, Younes; Korõtko, Tarmo; Rosin, Argo; Ahmadiahangar, Roya

doi:10.1109/cpe-powereng58103.2023.10227451

Cited by 3 publications

(1 citation statement)

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“…Resilience in power systems acts as a defense line for guarding the system against various types of natural and human threats as planning efforts provide human operators. To make generation more resilient and more able to endure and recover from low-probability, high-impact events, such as natural disasters and human-induced attacks, certain adaptive measures could be applied to specific components [37]. These measures could include the integration of advanced technologies, the implementation of robust design principles, and the development of contingency plans.…”

Section: Resilience In Power System and Microgridmentioning

confidence: 99%

AI Applications to Enhance Resilience in Power Systems and Microgrids—A Review

Zahraoui,

Korõtko,

Rosin

et al. 2024

Sustainability

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This paper presents an in-depth exploration of the application of Artificial Intelligence (AI) in enhancing the resilience of microgrids. It begins with an overview of the impact of natural events on power systems and provides data and insights related to power outages and blackouts caused by natural events in Estonia, setting the context for the need for resilient power systems. Then, the paper delves into the concept of resilience and the role of microgrids in maintaining power stability. The paper reviews various AI techniques and methods, and their application in power systems and microgrids. It further investigates how AI can be leveraged to improve the resilience of microgrids, particularly during different phases of an event occurrence time (pre-event, during event, and post-event). A comparative analysis of the performance of various AI models is presented, highlighting their ability to maintain stability and ensure a reliable power supply. This comprehensive review contributes significantly to the existing body of knowledge and sets the stage for future research in this field. The paper concludes with a discussion of future work and directions, emphasizing the potential of AI in revolutionizing power system monitoring and control.

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Section: Resilience In Power System and Microgridmentioning

confidence: 99%