Adaptive Protection Schemes for Distributed Energy Resources
DOI:
https://doi.org/10.15662/IJRAI.2023.0601002Keywords:
Adaptive Protection Schemes, Distributed Energy Resources (DERs), Fault Current Estimation, Protection Coordination, Smart Grids, IEC 61850, Machine Learning, Multi-Agent Systems, Real-Time Protection, Power System ReliabilityAbstract
The integration of Distributed Energy Resources (DERs), such as solar photovoltaic systems, wind turbines, and energy storage, into modern power grids has introduced significant challenges to traditional protection schemes. The bidirectional power flows and variable operating conditions of DERs impact fault currents and protection coordination, often resulting in maloperation or loss of selectivity in conventional protection devices. Adaptive protection schemes (APS) have emerged as promising solutions to address these challenges by dynamically adjusting protection settings based on real-time system conditions. This paper provides a detailed overview of adaptive protection schemes designed specifically for grids with high DER penetration. It discusses various methodologies that incorporate system monitoring, communication technologies, and intelligent algorithms to enhance fault detection, isolation, and system reliability. Techniques such as real-time fault current estimation, adaptive relay setting adjustment, and centralized/distributed control architectures are examined. The study also reviews the role of communication infrastructures, such as IEC 61850 protocols, in enabling adaptive protection. Emphasis is placed on the benefits of APS in mitigating issues like protection coordination failure, nuisance tripping, and delayed fault clearance. Various approaches using artificial intelligence, machine learning, and multiagent systems are surveyed, illustrating the trend toward intelligent and autonomous protection systems. Despite their advantages, adaptive schemes face challenges including communication latency, cybersecurity risks, and the complexity of implementing real-time adaptation in large-scale networks. This paper presents a balanced view of these benefits and limitations through case studies and simulation results. The paper concludes by outlining future research directions focusing on improving communication reliability, integrating advanced AI techniques, and developing standardized frameworks for APS implementation in DER-rich power systems. Adaptive protection schemes are essential for ensuring resilient, reliable, and secure operation of future distributed power grids.
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