Multi-Source Collaborative Optimization Scheduling Technology for New Energy Microgrid Based on Improved Particle Swarm Algorithm

Jin, Xin (2025) Multi-Source Collaborative Optimization Scheduling Technology for New Energy Microgrid Based on Improved Particle Swarm Algorithm. EAI Endorsed Transactions on Energy Web.

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Abstract

INTRODUCTION: New energy microgrids face significant challenges in multi-source coordinated dispatching, primarily due to the high uncertainty in renewable energy output. Traditional optimization methods often suffer from local optimality and extended computation times, limiting their effectiveness

Item Type: Article
Date Deposited: 04 Mar 2026 20:25
Last Modified: 16 Apr 2026 15:36
URI: http://eprints.eai.eu/id/eprint/60593

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