含分布式电源的配电网三阶段协同优化调度

Three-stage collaborative optimal dispatching of distribution network with distributed power generation

针对含分布式电源配电网的实际运行情况,根据主动配电网的设备调度时间尺度和调节次数,建立一种基于日前阶段、日中阶段以及实时阶段的配电网三阶段优化调度流程,解决分布式电源出力不确定性的影响。在日前阶段,采用配电网动态重构,依据分布式电源出力预测的持续分量进行网络拓扑结构变换。在日中阶段,采用列和约束生成算法处理分布式电源出力的不确定性,建立配电网的鲁棒优化模型,对有载调压变压器、分组投切电容器档位进行再调整,确定下一级在线控制的分布式电源和储能的运行基点。在实时阶段,建立时间解耦的储能平抑分布式电源出力不确定性模型,利用分布式电源和储能可以快速响应特点,在实时风光场景下进行根节点功率波动的平抑。改进的IEEE33节点算例验证了所确定模型的有效性。通过多时间尺度的协调调度,可以有效降低分布式电源出力不确定性带来的影响,提高配电网运行稳定性。

In view of the actual operation of the distribution network with distributed power,and based on the time scale and adjustment times of each equipment in the active distribution network,a three-stage optimization dispatching process for the distribution network based on the day-ahead,intra-day,and real-time phases was established aiming at solving the impact of the uncertainty of distributed power.In the day-ahead stage,the dynamic reconfiguration of the distribution network was adopted,and the transformation of the network topology was mainly based on the continuous component of the distributed power output prediction.In the intraday stage,the column and constraint generation algorithm was used to deal with the uncertainty of distributed power output,establish a robust optimization model of the distribution network,and re-adjust the positions of the on-load tapping transformer and group switching capacitors to determine the next operating base point of distributed power and energy storage with level online control.In the real-time stage,a time-decoupled energy storage model was established to stabilize the output uncertainty of distributed power sources,and the characteristics of rapid response by distributed power and energy storage were used to stabilize root node power fluctuations in real-time wind and solar scenarios.The improved IEEE33 node calculation example verified the validity of the determined model.The results showed that the coordinated scheduling of multiple time scales could effectively reduce the impact of the uncertainty of distributed power output and improve the stability of the distribution network.