基于元件故障率的配电网极端灾害故障主动防御策略研究

An active Defence Strategy Against Extreme Disaster Faults in Distribution Networks Based on Component Failure Rate

  • 摘要: 不同种类的极端灾害导致的配电网元件故障,给配电网的主动防御带来严峻挑战。针对该问题,提出一种计及线路元件故障率的配电网灾害风险预警与主动防御策略。首先,分别考虑移动式、分布式和扩散式极端灾害的不同特点,构建配电网线路元件在不同典型灾害下的故障概率模型。在此基础上,基于线路元件故障率,建立极端灾害下新型配电网统一的线路风险评价指标,量化评估配电网的薄弱线路。然后,根据灾害前的风险统一评价指标,提前断开风险较高的线路和加固存在风险的线路,通过调整分布式电源和储能的出力,控制联络线开闭合,对失电负荷节点进行转供,优先抢修电源到重要负荷的之间的故障线路,建立新型配电网极端灾害下主动预防模型,将所建立的混合整数非线性规划模型转化为二阶锥规划模型,并利用Cplex+yalmip优化求解器进行求解。最后,根据某城市配电网进行仿真,验证所提防御策略能够有效预警高风险线路,通过对线路进行调整,避免灾害引发的线路故障,从而确保配电网在灾后能够快速恢复正常运行,消除配电网薄弱线路,提升配电网运行弹性。

     

    Abstract: Failures of distribution network components caused by different types of extreme disasters pose a serious challenge to the active defense of distribution networks. To address this problem, a disaster risk warning and active defense strategy for distribution networks that takes into account the failure rate of line components is proposed. First, by considering the different characteristics of mobile, distributed, and diffuse extreme disasters, failure probability models for distribution network line components under different typical disasters are constructed. Second, based on the line component failure rate, a unified line risk evaluation index for new distribution networks under extreme disasters is established to quantitatively assess the vulnerable lines in the distribution network. Subsequently, based on the unified pre-disaster evaluation index, the high-risk lines are disconnected, and the existing lines are reinforced in advance. By adjusting the output of distributed power sources and energy storage systems, controlling the opening and closing of contact lines,and transferring power to lost load nodes, while prioritizing the repair of faulty lines from power sources to important loads, an active prevention model is established for the new distribution network under extreme disasters. The established mixed-integer nonlinear programming model is transformed into a second-order conic programming model and then solved using the Cplex+ yalmip optimization solver. Finally, a simulation is conducted based on an urban distribution network, which verifies that the proposed defense strategy can effectively issue warnings for high-risk lines and prevent line failures triggered by disasters through line adjustment. As a result, it ensures that the distribution network can quickly resume normal operation after a disaster, eliminate vulnerable lines, and enhance operational flexibility.

     

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