Impact of Electric Vehicles on Microgrids Considering Multiple Correlations

In order to quantify the influence of electric vehicles (EVs) on the power system planning and operation, an EVs aggregator model is built so as to avoid the decentralized characteristics of EVs, and then this model is integrated with probabilistic load flow method (PLF) to evaluate the operation status of the power system with EVs. Multi-Copula theory is utilized to describe the complex correlation variables within the same nodes to maintain the highest accuracy as possible. And Multi-Copula theory is incorporated with the cumulant-based PLF method to maintain accuracy and effectiveness simultaneously. For the correlation among different nodes, Cholesky decomposition is adopted to deal with the correlation among different nodes. Then Multi-Copula theory, Cholesky decomposition and cumulant-based PLF method are combined to analyze the impact of EVs on microgrids. Correctness and effectiveness of the proposed method are approved by the simulations on modified IEEE test systems.

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