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考虑短时线路动态增容的多区域电网备用优化

刘胤均 余顺江 俞鸿飞 陶文伟 曾勇杰 林振智

电力建设2026,Vol.47Issue(9):91-101,11.
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电力建设2026,Vol.47Issue(9):91-101,11.DOI:10.12204/j.issn.1000-7229.2026.09.007

考虑短时线路动态增容的多区域电网备用优化

Optimization of Power Reserve in Multi-Area Power Grid Considering Short-Term Dynamic Line Rating

刘胤均 1余顺江 1俞鸿飞 1陶文伟 2曾勇杰 2林振智1

作者信息

  • 1. 浙江大学电气工程学院,杭州市 310027
  • 2. 中国南方电网有限责任公司,广州市 510663
  • 折叠

摘要

Abstract

[Objective]To address source-load fluctuations in systems with high-penetration renewable energy,the rational arrangement and effective dispatch of power reserves should be ensured.Given this background,a multi-area power grid reserve optimization method considering short-term dynamic line rating(SDLR)is proposed.[Methods]Firstly,a network-wide source-load fluctuation scenario based on chance constraints is constructed.By pre-scheduling regional reserve capacity to guarantee the regulation capability of each area,network-wide and regional risk coordination is achieved.Secondly,an intra-day reserve optimization method considering SDLR and demand-side resources is proposed to realize the efficient utilization of line transmission capacity and ensure the effectiveness of reserve dispatch.Finally,the proposed method is verified and analyzed using a simplified provincial transmission network.[Results]The result demonstrate that by integrating SDLR,the actual reserve dispatch ratio increases from 4.73%under traditional static security constraints to 20.06%,and the system operation risk cost is reduced by 58.3%.[Conclusions]The proposed method can mitigate line congestion and reduce the risks of load shedding and renewable energy curtailment,effectively improving the power supply reliability and operational economic efficiency of multi-area power grids.

关键词

备用优化/短时线路动态增容/源荷波动/需求侧资源/风险协调/机会约束

Key words

reserve optimization/short-term dynamic line rating/source-load fluctuation/demand-side resources/risk coordination/chance constraints

分类

信息技术与安全科学

引用本文复制引用

刘胤均,余顺江,俞鸿飞,陶文伟,曾勇杰,林振智..考虑短时线路动态增容的多区域电网备用优化[J].电力建设,2026,47(9):91-101,11.

基金项目

This work is supported by Smart Grid-National Science and Technology Major Project(2030)(No.2026ZD0809800). 智能电网国家科技重大专项(2030)(2026ZD0809800) (2030)

电力建设

1000-7229

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