Multi-objective Optimization of Distribution Network System with Energy Storage and Distributed Photovoltaic Considering Static Voltage Stability
To address issues such as reduced static voltage stability,voltage over-limit,and increased network losses caused by the uncertainty and intermittency of photovoltaic power generation,this paper proposes a multi-objective optimization model for a distribution network system containing energy storage batteries and distributed photovoltaic power sources.It considers the hourly photovoltaic output and load changes over 24 hours.In addition to minimizing node voltage deviation and network losses,the optimization objectives also emphasize the static voltage stability index and penalties for voltage over-limits.Based on the particle swarm optimization algorithm,the paper uses the IEEE 33 node distribution network system as the basic example model.By optimizing the charging and discharging power of the energy storage battery,as well as the reactive power compensation devices such as on-load tap changer,capacitor banks and static synchronous compensator,the 24 hours dynamic optimization of the distribution network system is achieved through the coordinated control of the energy storage battery and reactive power optimization devices.The optimization results reveal that the proposed scheme greatly boosts the static voltage stability of the distribution network system and reduces both voltage deviation and network losses.Furthermore,it effectively manages the risk of node voltage exceeding the limit.It is proved this scheme can ensure the safe,economical,and stable operation of the distribution network system.
distributed photovoltaic power supplyenergy storage batterystatic voltage stabilitydistribution network
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