Research on optimal configuration of photovoltaic and energy storage for source-network-load-storage considering constraint violation assessment
Energy storage investment costs and line loss reduction are focal points in the integrated management of source-network-load-storage systems.In response to the issues of declining power quality and increased line losses caused by the unreasonable integration of photovoltaic systems into the distribution network,given the time-varying characteristics,an energy storage model in the distribution network is established that accounts for both energy storage investment costs and the rate of line losses under multiple constraints.Building on this,a multi-objective configuration algorithm named MOISC-ZOA,which combines a non-dominated overall ranking with Manhattan distance under a constraint violation assessment strategy,is proposed.This algorithm enhances the guidance of superior individuals through the sine cosine algorithm and introduces a multi-subgroup strategy for simulating the information transfer among individuals,optimizing both energy storage investment costs and network line losses.Test results indicate that this configuration method can reduce the annual average line loss rate in a 33-node network by 14.7％while reducing energy storage costs,and simultaneously improving the voltage deviation of the node system.
source-network-load-storageenergy storage configurationconstraint violation assessmentenergy storage investment costline loss rate
国家科技期刊平台
NSTL
万方数据
