刘帅, 李华强, 武姝凝, 游祥, 陆杨. 考虑灵活性资源传输精细化建模的配电网优化运行[J]. 电网技术, 2025, 49(5): 2024-2034. DOI: 10.13335/j.1000-3673.pst.2023.0398
引用本文: 刘帅, 李华强, 武姝凝, 游祥, 陆杨. 考虑灵活性资源传输精细化建模的配电网优化运行[J]. 电网技术, 2025, 49(5): 2024-2034. DOI: 10.13335/j.1000-3673.pst.2023.0398
LIU Shuai, LI Huaqiang, WU Shuning, YOU Xiang, LU Yang. Optimal Operation of Distribution Network Considering Refined Modeling of Flexible Resource Transmission[J]. Power System Technology, 2025, 49(5): 2024-2034. DOI: 10.13335/j.1000-3673.pst.2023.0398
Citation: LIU Shuai, LI Huaqiang, WU Shuning, YOU Xiang, LU Yang. Optimal Operation of Distribution Network Considering Refined Modeling of Flexible Resource Transmission[J]. Power System Technology, 2025, 49(5): 2024-2034. DOI: 10.13335/j.1000-3673.pst.2023.0398

考虑灵活性资源传输精细化建模的配电网优化运行

Optimal Operation of Distribution Network Considering Refined Modeling of Flexible Resource Transmission

  • 摘要: 清洁能源大规模并网使配电网产生大量灵活性需求,随之带来的灵活性资源传输阻塞问题亟待解决。针对此问题,该文通过探究配电网的灵活性资源传输原理,构建计及配电网潮流的网络传输灵活性资源模型,并基于此提出一种考虑灵活性资源传输约束的配电网日前优化运行方法。首先,综合考虑节点灵活性与网络灵活性构建配电网灵活性分析框架;然后分别构建配电网各节点的灵活性需求与资源模型;随后,结合虚拟潮流精细化构建网络传输灵活性资源模型,以描述灵活性资源传输与配电网潮流的耦合关系,体现节点电压与线路传输容量在灵活性资源传输过程中的限制作用,从而量化配电网实际运行中对灵活性资源的传输能力;最后,提出一种考虑灵活性资源传输约束的配电网日前优化运行方法。算例表明,该文所提的灵活性分析方法符合配电网的运行特点,能够有效减少实际运行中灵活性资源传输阻塞问题带来的影响,并降低配电网的运行成本,提升清洁能源的消纳率。

     

    Abstract: The large-scale integration of clean energy into the power grid generates significant demands for flexibility in the distribution network, hereafter, the transmission congestion of the flexibility resources needs to be urgently addressed. Therefore, this paper, by exploring the transmission principles of the flexibility resources in the distribution network, constructs a flexibility resource network transmission model. Considering the distribution network flow, a day-ahead optimization method for the distribution network is proposed that takes into account the flexibility resource transmission constraints. Firstly, a flexibility analysis framework for the distribution network is established by considering both the node flexibility and the network flexibility. Secondly, the flexibility demand and the resource models for each of the nodes are constructed. Then, the virtual power flow is used to build the network transmission flexibility resource model in order to describe the coupling relationship between the flexible resource transmission and the distribution network power flow. The model quantifies the transmission capacity of the flexibility resources by considering the transmission restrictions of the node voltage and the line transmission capacities. Finally, an optimization strategy for the distribution network that considers the flexibility resource transmission constraints is proposed. The case study demonstrates that the proposed flexibility analysis method is aligned with the operating characteristics of the distribution network, effectively avoids the transmission congestion of the flexibility resources in the actual operation, reduces the operating cost of the distribution network, and improves the clean energy consumption rate.

     

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