基于场景分析的风光储协调的配电网动态无功优化

Dynamic Reactive Power Optimization for Distribution Network of Wind-solar Storage Coordination Based on Scene Analysis

针对风光储等分布式电源输出功率存在间歇性和随机性,无功的协调优化存在困难,运用概率场景分析的方法描述分布式电源这种不确定性,得到考虑随机特性的分布式电源有功出力及其相应的无功功率范围。采用拉丁超立方抽样和场景消减技术,得到全场景的时域概率,提出一种含源荷储协调的配电网无功优化模型。通过以风机和光伏出力调节储能系统的有功出力,并在此基础考虑网损,静态电压稳定裕度,无功补偿设备动作次数限制等多项指标为目标函数,建立多阶段的动态无功优化求解策略,采用引入禁忌表的精英保留策略的遗传算法对改进的IEEE33节点配电系统进行算例仿真,验证了所建立模型是合理有效的。

Considering the intermittency and randomness of the output power of distributed power supply such as wind-solar storage, and the difficulty in the coordination and optimization of reactive power, the probabilistic scenario analysis method is used to describe the uncertainty of distributed power supply and calculate the output and the corresponding reactive power limit of distributed power supply. Based on the Latin hypercube sampling and scene subtraction technique, the time domain probability of the whole scene is obtained. By active power of the fan and photovoltaic output adjusting energy storage system, and based on this, considering network loss, static voltage stability margin, reactive power compensation equipment action number as the objective function index, establish a multi-stage dynamic reactive power optimization solution strategy, introducing elite reserve strategy of tabu table of genetic algorithm to improve the IEEE33 nodes distribution system for the example simulation, verify the validity of the model.