考虑承载能力影响的高渗透率光伏配电网多目标规划方法研究OA

Traditional distribution network planning often fails to adequately consider the hosting capacity limitations caused by high penetration of distributed photovoltaic(PV)generation and large-scale electric vehicle(EV)integration,leading to issues such as deteriorated power quality,increased risks of voltage violations,and higher network losses during practical system operation.To address these challenges,this paper proposes a multi-objective hierarchical distribution network planning method that explicitly considers hosting capacity constraints.First,typical daily profiles for distribution network load and PV output,representing annual fluctuation characteristics,are selected using the k-means clustering method,and Monte Carlo simulation is employed to generate EV charging demand.Then,a multi-objective hierarchical planning model considering hosting capacity limitations is established.The upper-level planning model aims to minimize the total investment cost while maximizing the distribution network hosting capacity score,thereby determining the optimal capacity configuration of distributed PV and energy storage systems.The lower-level operational optimization model minimizes the operating cost over representative days to achieve optimal distribution network dispatch.Finally,case studies are conducted to verify the feasibility and effectiveness of the proposed model and to quantitatively analyze the impacts of high-penetration distributed PV integration and large-scale EV charging on distribution network hosting capacity.