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考虑负荷不确定性的水风光多能互补调峰调度研究OA

Study on peak shaving of hydro-wind-photovoltaic multi-power system considering load uncertainty

中文摘要英文摘要

水电是水风光多能互补系统中承担调峰、调频、保障电网稳定运行的关键支撑电源.针对系统负荷不确定性进一步增加了水风光多能互补系统的调峰调度问题,本文将信息间隙决策理论引入到以水电为核心的混合能源电力系统中来应对负荷的不确定性,并构建了基于信息间隙决策理论的水风光多能互补调峰调度模型,以黄河上游青海省内水电站为研究对象开展调峰调度研究.结果表明,水电能有效降低风光给电力系统带来的调峰压力,增加电网稳定性;根据决策者的风险偏好程度,可确定风险规避情况下负荷的最大波动程度为45.87%,机会寻求情况下负荷的最小波动程度为27.17%.研究成果可以为调度决策提供鲁棒性边界,增强电力系统韧性.

Hydropower plants are used as the key supporting power sources responsible for peak shaving,frequency regulation,and ensuring power grid stability in a hydro-wind-photovoltaic multi-energy complementary system.To address load uncertainty in a hydropower-dominated multi-power system,this paper applies the information gap decision theory(IGDT)in developing an IGDT-based peak shaving operation model for the complementary system.We focus on a case study of peak shaving operation for the hydropower stations in the upper Yellow River in Qinghai Province.The results show hydropower operation effectively reduces peak shaving pressure caused by wind power and photovoltaic power on the power system,enhancing power grid stability.For a practical design,we can use the maximum load fluctuation of 45.9%under a risk-averse scenario,or the minimum of 27.2%under an opportunity-seeking scenario,depending on the decision-maker's preference to the risk.These findings help determine robustness boundaries for dispatching decisions and enhance the resilience of a power system.

雷凯旋;唐梅英;李超群;严登明

黄河勘测规划设计研究院有限公司,郑州 450003黄河勘测规划设计研究院有限公司,郑州 450003黄河勘测规划设计研究院有限公司,郑州 450003黄河勘测规划设计研究院有限公司,郑州 450003

建筑与水利

水风光多能互补不确定性调峰调度信息间隙决策理论

hydro-wind-photovoltaic power systemmulti-energy complementarityuncertaintypeak shaving operationinformation gap decision theory

《水力发电学报》 2026 (3)

11-23,13

国家自然科学基金黄河水科学联合基金(U2243233)国家重点研发计划项目(2024YFC3210601)

10.11660/slfdxb.20260302

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