In this study, the combination of crossover algorithm and particle swarm optimization—crossover algorithm-particle swarm optimization (CS-PSO) algorithm—to optimize
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Published in: 2024 4th International Conference on New Energy and Power Engineering (ICNEPE) Article #: Date of Conference: 08-10 November 2024 Date Added to IEEE Xplore: 05 February 2025
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The optimized energy storage configuration of a PV plant is presented according to the calculated degrees of power and capacity satisfaction. The proposed method was validated using
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With the continuous growth of photovoltaic (PV) installed capacity, the issue of photovoltaic curtailment has become increasingly prominent. Energy storage systems (ESS), through flexible charging and
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In order to ensure the reliability of the power supply of the microgrid system and maximize the utilization and economic of the photovoltaic, it is necessary to appropriately configure energy
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In response to the current issues of insufficient security assessment and the difficulty of balancing security and economy, a method for optimizing the configuration of PV-storage systems
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Hence, investigating the storage capability of the energy reservoir is crucial given the substantial investment costs associated with energy storage. Over the past few years, an abundance
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In this study, a stochastic scenario generation method based on improved MMD-GAN is proposed to provide reliable scenario selection for subsequent energy storage planning. Currently,
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In consideration of the current state of lithium batteries and lead–acid batteries, which represent two relatively mature and widely utilized forms of energy storage technology, this paper''s
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