基于全纯嵌入的电力系统计算与仿真研究综述OA

Static analysis and dynamic simulation play vital roles in the planning,operation,and stability assessment of power systems.Traditional iterative power flow algorithms suffer from issues including dependence on initial values,singular matrices,and potential convergence to non-operational solutions.To address these challenges,the holomorphic embedding method(HEM),based on complex analysis theory,has been proposed.This method transforms power flow equations into complex equations with respect to a complex variable,enabling a recursive,non-iterative power flow solution that is independent from initial values.As a result,it has attracted growing attention from both academia and industry worldwide.In addition,the HEM can also be applied to solve differential-algebraic equation systems,supporting fast electromechanical transient simulation of power systems.To this end,this paper reviews the theoretical foundations and recent advances of HEM in power systems,focusing on both static analysis and dynamic simulation.First,the basic principles and analytic continuation techniques of HEM are briefly introduced,along with a summary of the mainstream holomorphic embedding formulations.Then,the latest research progress is systematically reviewed across various application scenarios,including power flow analysis,voltage stability margin assessment,probabilistic power flow analysis,optimal power flow,and dynamic simulation.Finally,the key challenges related to convergence and computational efficiency are discussed,and future research directions are proposed in light of emerging requirements of new-type power systems.