考虑电力负荷需求和分布式电源不确定性的配电网重构OA北大核心CSTPCD

As the proportion of renewable energy and variable loads in the distribution system gradually increases,the uncertainty of power flow in the distribution network will affect the optimal network topology.Since distributed generation and demand response are affected by the time factor,the topology obtained by modeling at a single time period is difficult to be optimized at different times of the day.To address this uncertainty,this paper proposes a second-order cone optimization-based distribution network reconfiguration model for multitemporal tidal flow analysis for billing and demand response.By considering the"source-storage-load"structure of the actual distribution system,an optimization problem with the objectives of network operation cost and switching operation cost is established,and the second-order cone relaxation is used to transform the nonconvex search space into a convex feasible domain for fast solution.Experimental results on an improved IEEE 33 node distribution network show the superiority of the proposed method over traditional methods in terms of accuracy and solution speed.