Distribution network reconfiguration considering power load demand and distributed power source uncertainty
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.
distribution network reconfigurationdemand responsedistributed generationsecond-order cone optimization
国家科技期刊平台
NSTL
万方数据
维普
