考虑台风影响的配网-多微网两阶段协同规划策略

A Two-stage Collaborative Planning Strategy for Distribution Network Multi Microgrid Considering the Impact of Typhoons

  • 摘要: 近年来极端灾害频发,引发了电力系统大停电事故,供电可靠性遭受了极大的影响,亟需协同多种分布式电源和储能以快速恢复负荷,提升系统的可靠性。针对台风灾害引起配电网大面积停电的场景,提出一种考虑倒杆断线风险的两阶段配电网可靠性提升策略,通过微网及移动储能支撑,以提升配电网可靠性。同时考虑负荷损失及停电时间,以可靠性指标系统总电量损失最小为目标,首先在灾前构建考虑潜在恢复需求的移动储能预配置模型,综合考虑移动储能预布局和网络重构,通过微网及移动储能支撑,决策移动储能的配置数量、位置及网络拓扑方案;然后在灾中划分重构时段,决策不同重构时段的网络拓扑以提高各时段的配电网可靠性。最后,以改进IEEE 33节点配电网为例进行数值仿真。结果表明,所提策略在保证良好经济性的同时有效提升了系统可靠性。

     

    Abstract: In recent years, extreme disasters have occurred frequently, causing major power outages in the power system, greatly affecting power supply reliability. It is urgent to coordinate multiple distributed power sources and energy storage to quickly restore loads and improve system reliability. In view of the scenario of large-scale power outages in the distribution network caused by typhoon disasters, a two-stage distribution network reliability improvement strategy considering the feasibility of establishing microgrid islands is proposed, taking into account the risk of pole collapse and line breakage, and supporting the distribution network through microgrids and mobile energy storage to improve the reliability of the distribution network. At the same time, load loss and outage time are considered. With the goal of minimizing the total power loss of the system, firstly, a pre-disaster mobile energy storage pre-configuration model is constructed, considering potential recovery needs and comprehensive mobile energy storage support. This involves pre-layout and network reconstruction of energy storage, supported by microgrids and mobile energy storage, making decisions on the number, location, and network topology of mobile energy storage configurations. During the disaster recovery period, decisions are made on the network topology for different reconstruction phases to improve the reliability of the distribution network at each stage. Finally, numerical simulation is conducted using the improved IEEE 33 node distribution network as an example. The results indicate that the proposed strategy effectively improves system reliability while maintaining good economic efficiency.

     

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