Advanced Grid Management Strategies for Mitigating Stability Challenges in High Renewable Energy Penetration Scenarios
DOI:
https://doi.org/10.63084/cognexus.v1i02.93Keywords:
Renewable Energy Integration, Smart Grid, Grid Stability, AI Forecasting, Decentralised Energy SystemsAbstract
Abstract
The global transition towards renewable energy necessitates fundamentally transforming existing power systems. However, the variability and decentralisation inherent in renewable sources pose significant challenges to grid stability and operational reliability. This study investigates advanced grid management strategies to mitigate stability challenges under high renewable energy penetration. Using a mixed-methods approach encompassing literature review, simulation modelling, experimental validation, and stakeholder consultations, the research evaluates the effectiveness of Smart Grid technologies, including AI-driven forecasting, Wide Area Monitoring Systems (WAMS), Flexible AC Transmission Systems (FACTS), and decentralised storage. Simulation results demonstrate that Smart Grid interventions substantially improve voltage and frequency stability, reduce congestion, and enhance system resilience compared to traditional control methods. Experimental validation through microgrid testbeds corroborates these findings, revealing faster frequency recovery and lower curtailment rates. Stakeholder consultations further highlight the proposed strategies' technical feasibility, emphasising the need for regulatory reform and cybersecurity advancements. The study concludes that while technological solutions for stable renewable integration exist, their success depends critically on supportive policies, proactive cybersecurity measures, and sustainable economic frameworks. Recommendations include regulatory updates, cybersecurity, Smart Grid infrastructure investment, and capacity-building initiatives. This research contributes a practical, scalable framework for enabling a resilient, intelligent, and sustainable future power system.
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