引用本文:汤骏,陈红坤,徐维炜,高鹏,吴海涛.高比例新能源接入下计及灵活性的电网分区方法[J].电力自动化设备,2025,45(6):191-199.
TANG Jun,CHEN Hongkun,XU Weiwei,GAO Peng,WU Haitao.Power grid partitioning method considering flexibility under high proportion of new energy[J].Electric Power Automation Equipment,2025,45(6):191-199.
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高比例新能源接入下计及灵活性的电网分区方法
汤骏1,2, 陈红坤1,2, 徐维炜1,2, 高鹏1,2, 吴海涛3
1.武汉大学 交直流智能配电网湖北省工程中心,湖北 武汉 430072;2.武汉大学 电气与自动化学院,湖北 武汉 430072;3.国网武汉供电公司,湖北 武汉 430050
摘要:
高比例新能源并网加剧了电网运行不确定性,而灵活性指标在电网分区中可衡量片区电网应对不确定冲击的能力。为此,提出一种高比例新能源接入下计及灵活性的电网分区方法。兼顾片区电网灵活性供需平衡,建立表征片区电网灵活性裕度的评估指标;改进电气距离并建立电气联系指标,在此基础上,构建同时考虑片区电网电气联系和灵活性的双层分区优化模型,上层是网架决策模型,下层是灵活性优化模型,在双层迭代中得到最终分区方案。算例分析结果表明计及片区灵活性的分区方法不仅满足分区基本条件,还能保证各片区留有一定的灵活性裕度,提升了片区应对不确定冲击的能力和新能源消纳水平。
关键词:  电网分区  灵活性  供需平衡  电气联系  双层优化模型
DOI:10.16081/j.epae.202412017
分类号:TM72
基金项目:国家自然科学基金联合基金资助项目(U23B20117)
Power grid partitioning method considering flexibility under high proportion of new energy
TANG Jun1,2, CHEN Hongkun1,2, XU Weiwei1,2, GAO Peng1,2, WU Haitao3
1.Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, Wuhan University, Wuhan 430072, China;2.School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China;3.State Grid Wuhan Power Supply Company, Wuhan 430050, China
Abstract:
The integration of high proportion of new energy into power grid has intensified the uncertainty of its operation, the flexibility index can measure the ability of the regional power grid coping with uncertain impacts in power grid partitioning. Therefore, a power grid partitioning method considering flexibility under high proportion of new energy is proposed. Based on balancing the flexibility supply and demand of the regional power grid, an evaluation indicator to characterize the flexibility margin of the regional power grid is built. The electrical distance is improved and the electrical connection indicators are established. On this basis, a double-layer partition optimization model considering both the electrical connection and the flexibility of regional power grid is constructed. The upper layer is the decision-making model for the grid structure, the lower layer is the flexibility optimization model. The final partition scheme is obtained through the double-layer iteration. The results of the case analysis show that the partitioning method considering flexibility of the regional power grid not only meets the basic conditions of power grid partitioning, but also ensures that each regional power grid has a certain degree of flexibility margin, which improves the ability of the regional power grid to cope with uncertain impacts and the level of new energy consumption.
Key words:  power grid partition  flexibility  coordination of supply and demand  electrical connection  double-layer optimization model

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