Sustainable and Resilient Power Systems: Recent Innovations

The recent developments in the research area of electric power systems and microgrids are significantly advancing the field towards more sustainable, cost-effective, and resilient operations. There is a notable shift towards integrating renewable energy sources and energy storage systems to optimize power flow and economic dispatch, thereby reducing reliance on traditional fossil fuel-based generation. Innovative methodologies are being introduced to handle the inherent uncertainties in renewable energy and load demand, such as robust optimization and adaptive strategies, which enhance the reliability and economic performance of power systems. Additionally, peer-to-peer energy exchanges and resilience-oriented planning are emerging as key strategies to improve system resilience during disruptions. Notably, the use of extreme value theory in analyzing and optimizing power system operations is gaining traction, providing novel insights and solutions for both theoretical and practical challenges. These advancements collectively underscore a transformative direction in the field, emphasizing the importance of adaptability, resilience, and sustainability in modern power systems.

Sources

Economic Dispatch and Power Flow Analysis for Microgrids

Minimization I.I.D. Prophet Inequality via Extreme Value Theory: A Unified Approach

Optimal Transmission Switching and Busbar Splitting in Hybrid AC/DC Grids

Maintaining reliability while navigating unprecedented uncertainty: a synthesis of and guide to advances in electric sector resource adequacy

Two-Stage Adaptive Robust Optimization Model for Joint Unit Maintenance and Unit Commitment Considering Source-Load Uncertainty

Exploiting the Benefits of P2P Energy Exchanges in Resilience Enhancement of Distribution Networks

Resilience-oriented Planning and Cost Allocation of Energy Storage Integrated with Soft Open Point Based on Resilience Insurance

Estimation of the Plant Controller Communication Time-Delay Considering PMSG-Based Wind Turbines

Bidding in Ancillary Service Markets: An Analytical Approach Using Extreme Value Theory

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