To address the shortcomings of the traditional honey badger algorithm, such as the slow convergence speed and a tendency to fall into local optima in complex microgrid optimal scheduling
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The purpose of this paper is to review the progress of intelligent optimal scheduling in new microgrids, and to discuss the technical challenges in multi-energy integration, real-time optimization,
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A multi-strategy Improved Multi-Objective Particle Swarm Algorithm (IMOPSO) method for microgrid operation optimization is proposed for the coordinated optimization problem of microgrid
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To address these issues, this paper presents a microgrid scheduling strategy based on the Non—Dominated Sorting Dung Beetle Optimization Algorithm (NSDBO).
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To address this problem, a novel two-layer rolling optimization framework for microgrids based on adaptive stochastic model predictive control
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In this article, we propose a multi-timescale optimal scheduling model that considers the day-ahead scheduling plan and intra-day two-tier rolling
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This paper proposes a WGAIL algorithm for optimal energy scheduling in microgrids, based on the constructed MDP problem. The algorithm
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In this paper, we propose to improve the global search capability of the DBO algorithm using a spiral position update strategy, adaptive weight
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This paper presents an AI-driven day-ahead optimal scheduling approach for a grid-connected AC microgrid with a solar panel and a battery energy storage system.
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To achieve efficient and stable microgrid operation, this paper proposes a microgrid cluster optimal scheduling strategy based on an Improved Particle Swarm Optimization (IPSO) algorithm.
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