徐浩, 贾龙文, 刘志成, 徐箭, 黄彦博, 廖思阳. 面向区域电网保供应场景的跨区最大购电能力优化方法[J]. 电网技术, 2025, 49(1): 232-241. DOI: 10.13335/j.1000-3673.pst.2024.0728
引用本文: 徐浩, 贾龙文, 刘志成, 徐箭, 黄彦博, 廖思阳. 面向区域电网保供应场景的跨区最大购电能力优化方法[J]. 电网技术, 2025, 49(1): 232-241. DOI: 10.13335/j.1000-3673.pst.2024.0728
XU Hao, JIA Longwen, LIU Zhicheng, XU Jian, HUANG Yanbo, LIAO Siyang. Optimization Method for Cross-regional Maximum Power Purchase Capacity in Regional Power Grids Ensuring Supply Scenarios[J]. Power System Technology, 2025, 49(1): 232-241. DOI: 10.13335/j.1000-3673.pst.2024.0728
Citation: XU Hao, JIA Longwen, LIU Zhicheng, XU Jian, HUANG Yanbo, LIAO Siyang. Optimization Method for Cross-regional Maximum Power Purchase Capacity in Regional Power Grids Ensuring Supply Scenarios[J]. Power System Technology, 2025, 49(1): 232-241. DOI: 10.13335/j.1000-3673.pst.2024.0728

面向区域电网保供应场景的跨区最大购电能力优化方法

Optimization Method for Cross-regional Maximum Power Purchase Capacity in Regional Power Grids Ensuring Supply Scenarios

  • 摘要: 随着多级电力市场在不同时间尺度上交织耦合,区域电网在发挥交易通道枢纽作用的同时,也出现了网络阻塞、安全保供等一系列运行风险。针对市场化模式下的保供应场景,基于省内断面阻塞分析,提出了面向电力现货市场的跨区跨省供电支撑能力优化方法。首先,基于省间交易通道-省间物理联络线-省内输电断面的关联关系模型,分析了省内网络阻塞形成机理;其次,通过梯度提升树算法预测省内断面阻塞情况,选择目标断面形成现货市场购电边界;最后,以跨区通道购电量最大为优化目标,考虑断面阻塞和直流馈入稳定约束,对目标省份供电支撑能力进行了优化。以实际省网为基础进行了分析,验证了所提方法的有效性。

     

    Abstract: As multiple levels of electricity markets become intertwined and coupled across different time scales, regional power grids, while serving as hubs for trading channels, also face a series of operational risks, such as network congestion and ensuring security and reliability of supply. In response to the supply security scenario under market-oriented models, based on the analysis of intra-provincial transmission section blocking, an optimization method for inter-regional and inter-provincial power supply capability in the electricity spot market is proposed. Firstly, based on the correlation model of inter-provincial trading channels, inter-provincial physical interconnections, and intra-provincial transmission sections, the mechanism of intra-provincial network congestion formation is analyzed. Secondly, the Gradient Boosting Decision Tree algorithm predicts intra-provincial transmission section blocking, identifying critical sections that form the boundary for electricity purchases in the spot market. Finally, to maximize electricity purchases through inter-regional channels while considering constraints on DC power injection stability, the power supply capability of the target province is optimized. The proposed method is validated by analyzing it based on actual provincial networks.

     

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