含储能和分布式光伏的配电网系统计及静态电压稳定性的多目标优化

Multi-objective Optimization of Distribution Network System with Energy Storage and Distributed Photovoltaic Considering Static Voltage Stability

提出一种含储能电池和分布式光伏电源的配电网系统多目标优化模型,用以应对光伏电源发电的不确定性和间歇性造成的配电网系统静态电压稳定性降低、电压越限、网损增大等问题。考虑24 h的小时级光伏出力及负荷变化,除以节点电压偏差最小和网损最小为目标外,优化目标还着重考虑静态电压稳定性指标和电压越限惩罚。基于粒子群算法,以IEEE 33节点配电网系统作为基础算例模型,通过优化储能电池的充放电功率及有载调压变压器、并联电容器组和静止无功补偿器等无功补偿装置,利用储能电池和无功优化装置的协同调控,实现配电网系统的24 h动态优化。优化结果表明所提出的优化方案能明显增强配电网系统的静态电压稳定性,减小电压偏差和网损,防止节点电压越限,为配电网系统的安全经济稳定运行提供保障。

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.