Probabilistic Optimal Power Flow Calculation Method of AC-DC Hybrid Distribution Network with New Energy and Electric Vehicle

With the increasing scale of new energy and electric vehicle integration, the uncertainty and complexity of operating mixed AC-DC distribution networks have significantly increased, emphasizing the importance of the optimal power flow (OPF) problem for such systems. Therefore, this paper proposes a method for calculating the probability optimal power flow (POPF) in mixed AC-DC distribution networks. This method, based on the probability distribution models of new energy sources and electric vehicles, establishes the power functions for DC integration through Monte Carlo simulations. Subsequently, it formulates a multi-objective POPF model for mixed AC-DC distribution networks. Finally, building upon the DE-PSO algorithm for optimal power flow, the paper introduces a three-point estimation method based on the central moments of random variables (3PEM) to compute POPF. Case analysis results demonstrate the high accuracy and efficiency of the proposed method, making it well-suited for practical planning and design of mixed AC-DC distribution networks.