For the two problems of wind and solar capacity ratio and energy storage configuration in ECS, the current research mostly considered them separately and ignored the mutual influence
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To address complex nonlinearities in the system, the KAN is utilized to model and approximate these dynamics, refining the LSTM predictions. The integration of these advanced
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Different methods are compared in island/grid-connected modes using evaluation metrics to verify the accuracy of the Parzen window estimation method. The results show that it surpasses
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In the following simulations, the optimal storage configuration and energy management for each scenario will be compared and discussed, revealing the impact of the hybrid storage on the
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To address challenges such as consumption difficulties, renewable energy curtailment, and high carbon emissions associated with large-scale wind and solar power
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To address this challenge, this article proposes a coupled electricity-carbon market and wind-solar-storage complementary hybrid power generation system model, aiming to maximize
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HOMER (Hybrid Optimization Model for Electric Renewables) is an effective simulation and optimization platform for hybrid renewable energy.
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This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind
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Integrating wind power with energy storage technologies is crucial for frequency regulation in modern power systems, ensuring the reliable and cost-effective operation of power
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To address the inherent challenges of intermittent renewable energy generation, this paper proposes a comprehensive energy optimization strategy that integrates coordinated
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