Multi Flexible Resource Coordination Planning Considering the Matching of Transmission Requirements and Transmission Capabilities in the Process of Flexible Resource Transmission
|更新时间:2026-02-28
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Multi Flexible Resource Coordination Planning Considering the Matching of Transmission Requirements and Transmission Capabilities in the Process of Flexible Resource Transmission
HUANG Lingling, BIAN Yajie, FU Zhangjie, et al. Multi Flexible Resource Coordination Planning Considering the Matching of Transmission Requirements and Transmission Capabilities in the Process of Flexible Resource Transmission[J]. 2026, 46(4): 1458-1470.
DOI:
HUANG Lingling, BIAN Yajie, FU Zhangjie, et al. Multi Flexible Resource Coordination Planning Considering the Matching of Transmission Requirements and Transmission Capabilities in the Process of Flexible Resource Transmission[J]. 2026, 46(4): 1458-1470. DOI: 10.13334/j.0258-8013.pcsee.241942.
Multi Flexible Resource Coordination Planning Considering the Matching of Transmission Requirements and Transmission Capabilities in the Process of Flexible Resource Transmission
输电网灵活性受到节点灵活性与网络传输灵活性耦合影响且灵活性供需平衡关系随源荷波动动态变化,所以有必要开展输电网多元灵活性资源协调规划研究。该文针对输电网潮流动态变化的特点,构建一种反应灵活性资源传输需求和网络传输能力动态匹配程度的网络传输灵活性指标;然后,建立包含储能装置与统一潮流控制器(unified power flow controller,UPFC)的输电网多元灵活性资源两阶段协调优化规划模型;最后,通过算例分析验证所提的网络传输灵活性指标能够定量地反应网络传输灵活性随源荷波动的动态变化,基于网络传输灵活性最优的两阶段规划模型,有利于更好地挖掘原网络的传输能力,规划方案对更高的源-荷波动水平具有更好的适应性,提出的灵活性重要度指标可为灵活性资源初步选址提供指导。
Abstract
Flexibility of transmission networks is influenced by the coupling of node flexibility and network transmission flexibility
and the balance between flexibility supply and demand dynamically changes with the fluctuation of sources and loads. Therefore
there is an urgent need for research into the coordinated planning of diverse flexibility resources in transmission networks. In this paper
considering the characteristics of dynamic changes in power flow within transmission networks
an index of network transmission flexibility is established
which reflects the dynamic matching degree between the transmission demand and the network's transmission capacity. Subsequently
a two-stage coordinated optimization planning model for diverse flexibility resources in transmission networks
incorporating energy storage devices and UPFC
is formulated. Finally
case studies verify that the proposed network transmission flexibility index can quantitatively reflect the dynamic changes in network transmission flexibility with source-load fluctuations. The two-stage planning model
optimized for network transmission flexibility
enables a fuller utilization of the existing grid's transmission capacity
thereby demonstrating better adaptability to higher levels of source-load fluctuations. The proposed flexibility importance index can provide guidance for the initial siting of flexibility resources.