In this paper, we take this idea further by considering VPPs as coalitions of wind generators and electric vehicles, where wind generators seek to use electric vehicles (EVs) as a storage medium to
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This study is primarily methodological in nature but motivated by practical challenges in Virtual Power Plant (VPP) operation and market participation.
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By using a distribution-free approach, we show that as the prediction accuracy of WPG improves, the optimal bid decision converges toward the expected minimal power exchange, leading
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Originally conceived as a concept to aggregate small-scale distributed energy resources, VPPs have evolved into sophisticated enablers of diverse energy assets, including solar panels, wind
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In this study, a comprehensive analysis is carried out to assess the potential of integrating solar photovoltaic, wind energy, and demand response, individually and in combination, across six
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This model aims to improve the economic and environmental efficiency of VPP operations by integrating wind power generation, photovoltaic power generation, gas turbines, and energy
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This study proposes a novel prediction approach combining improved K-means clustering with Time Convolutional Networks (TCNs), a Bi-directional Gated Recurrent Unit (BiGRU), and an
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Virtual power plants (VPPs) have emerged as an innovative solution for modern power systems, particularly for integrating renewable energy sources.
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A virtual power plant (VPP) is a system for aggregating distributed energy resources (DERs) to function to behave as a single power plant. [1] Operators coordinate these resources to balance supply and
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