Optimal Energy Trading With Demand Responses in Cloud Computing Enabled Virtual Power Plant in Smart Grids
نویسندگان
چکیده
The increasing penetration of renewable energy sources and electric vehicles (EVs) poses a significant challenge for the power grid operator in terms peak load quality reduction. Moreover, there is growing demand fast charging services smart grids. Addressing from challenging. To overcome this challenge, article, we propose new computational architecture combining trading responses based on cloud computing managing virtual plants (VPPs) In proposed system, EVs can be charged at high rates without affecting operation by purchasing through platform cloud. addition, users with storage devices sell surplus to market. On one hand, regarded as an internal market VPP that aims maximize its revenue. interest EV owners, other minimize cost charging. Therefore, model interactions between owners non-cooperative game. search Nash equilibrium (NE) game, design algorithm then analyze complexity communication overhead. We utilize real data California Independent System Operator (CAISO) evaluate performance algorithm. Our results illustrate only obtain nearly $200\%$200% higher revenue average participating reduce their costs notation="LaTeX">$50\%$50% average. Users both even further approximately notation="LaTeX">$120\%$120% where get profit utilizing
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ژورنال
عنوان ژورنال: IEEE Transactions on Cloud Computing
سال: 2022
ISSN: ['2168-7161', '2372-0018']
DOI: https://doi.org/10.1109/tcc.2021.3118563