含智慧社区能量枢纽配电网三相不平衡动态潮流模型预测控制方法

Model Predictive Control Method for Three-phase Unbalanced Dynamic Power Flow of Distribution Network Including Smart Community Multi-energy Flow Hub

分布式能源具有分散性及不确定性,直接接入配电网将对潮流产生较大影响,增加配电网的调控难度。如何在兼顾系统经济、环保、安全运行的前提下,提高配电网对分布式能源的消纳和主动管理控制水平成为研究的重点。针对多能源接入配电网对配电网潮流及优化控制问题,提出一种含智慧社区多能枢纽的三相不平衡配电网动态潮流分析方法。根据智慧社区分布式风电、光伏出力及负荷的波动,考虑社区冷热电联供、电动汽车、储能设备等的技术经济特性,通过能源集线器实现社区与配电网的能量交互,并利用模型预测控制方法对配电网进行在线滚动潮流计算,基于IEEE-33节点系统分析在社区中不确定因素及配网三相不平衡负荷波动下,不同时刻的配电网潮流变化情况。算例结果分析了社区不确定性及配网各节点负荷变化时对配电网潮流的影响,为提高系统安全运行提供了参考。

As a result of the dispersion and uncertainty of distributed energy, direct access to the distribution network significantly affects the power distribution network and increases the difficulty of its regulation. Several studies have focused on improving the distribution, active management, and control level of distributed energy in the distribution network taking into account the system cost, environmental protection, and safe operation. This study proposes a dynamic power flow analysis method for three-phase unbalanced distribution network with smart community multi-energy hub in order to address the problem of power flow and optimal control of the distribution network in a multi-energy access distribution network. According to the distribution of community-based wind power and photovoltaic output and load fluctuations, the power flow in the distribution network is calculated taking into account the technical and economic characteristics of the community cold and heat supply, electric vehicles, energy storage equipment. The calculation uses energy hubs to achieve energy interaction between community and distribution network. The control method calculates the online rolling power flow based on the IEEE-33 node system and analyzes the trend of the distribution power flow at different times under uncertainties in the community and unbalanced load fluctuation of the distribution network. The results are used to analyze the influence of community uncertainty and load variations on power flow in the distribution network, which provides a reference scheme for improving stable operation of the system.