| 引用本文: | 孙明琦,郑予容,林苑,刘振宇.基于节点网元的韧性配电网时-空调度序列协同优化负荷恢复策略[J].电力自动化设备,2024,44(1):73-79. |
| SUN Mingqi,ZHENG Yurong,LIN Yuan,LIU Zhenyu.Load recovery strategy considering time-space scheduling sequence co-optimization for resilient network based on web of node[J].Electric Power Automation Equipment,2024,44(1):73-79. |
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| 摘要: |
| 为提升配电网的韧性，在更大的时间尺度和空间范围内确保新型电力系统下灵活、高效的电力供应，提出一种新颖的基于节点网元的韧性配电网时-空调度序列协同优化负荷恢复策略，获取配电网灾后场景下的最优负荷恢复序列方案及其调度时刻表。在多智能体代理系统架构下提出节点网元的概念，制定负荷恢复序列方案，通过邻近节点间局部信息的交互获取全局参数信息，作为灾后信息网络受损下负荷恢复优化模型的输入。对灾后负荷恢复模型中的混合整数线性规划问题进行求解，获取负荷恢复路径及修复时刻表，形成由多个分布式电源组成的节点网元以恢复停电负荷，实现检修人员调度和操作人员调度间的协同优化。最后，通过改进IEEE 37节点和IEEE 123节点系统验证了所提协同调度优化模型的有效性。 |
| 关键词: 节点网元 负荷恢复 韧性配电网 检修人员 操作人员 调度序列 |
| DOI：10.16081/j.epae.202303027 |
| 分类号:TM73 |
| 基金项目: |
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| Load recovery strategy considering time-space scheduling sequence co-optimization for resilient network based on web of node |
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SUN Mingqi, ZHENG Yurong, LIN Yuan, LIU Zhenyu
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State Grid Shanghai Shinan Power Supply Company, Shanghai 200030, China
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| Abstract: |
| To improve the resilience of the distribution network, and ensure the flexible and high-efficient power supply in the new power system under a larger time and space scale, a novel load recovery strategy considering time-space scheduling sequence co-optimization for resilient network based on web of node is proposed to obtain the optimal load recovery sequence scheme of distribution network under post-disaster scenario and the corresponding scheduling timetable. Under the multi-agent system architecture, the concept of web of node is proposed to formulate the load recovery sequence scheme, and the global parameter information is obtained through the interaction of local information between adjacent buses, which is used as the input of load recovery optimization model in the post-disaster information network. The mixed-integer linear programming problem in the post-disaster load recovery model is solved to obtain the load recovery path and repair timetable, formulate the web of node composed of several distribution generators to restore outage loads and realize the co-optimization between the dispatching of maintenance crews and repair crews. Finally, the effectiveness of the proposed collaboration scheduling optimization model is verified through the modified IEEE 37-bus and IEEE 123-bus systems. |
| Key words: web of cell load recovery resilient distribution network maintenance personnel operation personnel scheduling sequence |
