考虑短时线路动态增容的多区域电网备用优化OA
Optimization of Power Reserve in Multi-Area Power Grid Considering Short-Term Dynamic Line Rating
[目的]为应对高比例可再生能源接入导致的电力系统源荷波动问题,应保证多区域电网备用的合理配置与有效调用.在此背景下,提出了考虑短时线路动态增容(short-term dynamic line rating,SDLR)的多区域电网备用优化方法.[方法]首先,构建了基于机会约束的全网源荷波动场景,并通过预留区域备用容量来保障各区域的调节能力,实现全网与区域的风险协同.然后,提出了考虑SDLR和需求侧资源的日内备用优化方法,实现线路传输能力的高效利用,以保证备用有效调用.最后,以某省简化的输电网为例进行验证分析.[结果]算例结果表明,通过考虑SDLR,全网备用的实际调用比例由传统静态安全约束下的4.73%提升至20.06%,系统运行风险成本下降了58.30%.[结论]所提方法能减缓线路阻塞,降低失负荷与弃电风险,有效提升了多区域电网的供电可靠性与运行经济性.
[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.
刘胤均;余顺江;俞鸿飞;陶文伟;曾勇杰;林振智
浙江大学电气工程学院,杭州市 310027浙江大学电气工程学院,杭州市 310027浙江大学电气工程学院,杭州市 310027中国南方电网有限责任公司,广州市 510663中国南方电网有限责任公司,广州市 510663浙江大学电气工程学院,杭州市 310027
信息技术与安全科学
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
reserve optimizationshort-term dynamic line ratingsource-load fluctuationdemand-side resourcesrisk coordinationchance constraints
《电力建设》 2026 (9)
91-101,11
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)
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