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高水电比重系统中梯级水电群与风光电站协调调峰优化运行策略 被引量:12

Peak-shaving co-optimization strategies of cascaded hydropower and wind-photovoltaic generation in systems with high penetration of hydropower
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摘要 全球环境和气候问题的加剧,凸显了发展以水电、风能和太阳能为主的清洁能源的迫切性。在高水电比重系统中,梯级水电站需要同时承担峰荷和基荷,如何协调梯级水电站与间歇性风光电站的出力用以优化调峰能力具有重要意义。在此背景下,考虑风光电站出力的不确定性,提出梯级水电群与风光电站协调调峰优化运行策略,一方面利用梯级水电群出力可调的优势,增大系统接纳风光电站出力的能力,尽可能平抑负荷波动、减小系统的调峰压力;另一方面对非线性的水电转换函数进行线性化处理,方便模型求解。最后,以某高水电比重系统作为算例进行仿真验证,结果验证了所提优化策略的正确性和有效性。 With the emergence of global environmental and climate issues,the advantages of clean energy,such as hydropower,wind and solar energy are highlighted.In a power system with high penetration of hydropower,the cascaded hydropower station needs to serve the peak load and the base load at the same time.How to coordinate the peak-shaving optimization operation of the cascaded hydropower station and the uncertain wind-photovoltaic power stations is of great significance.This paper considers the uncertainty of the wind and photovoltaic power stations,and proposes a coordinated peak-shaving optimization operation strategy of cascaded hydropower stations and wind-photovoltaic power stations.On one hand,the adjustment capability of the cascaded hydropower stations is utilized to increase the accommodating generation of the wind-photovoltaic power stations,and the load fluctuation is minimized as much as possible to reduce the peaking pressure of the thermal power units.On the other hand,the nonlinear water-to-power conversion function is linearized to facilitate the model solution.The simulation analysis results of a system with high penetration of hydropower verifies the correctness and effectiveness of the proposed optimization strategy.
作者 魏明奎 蔡绍荣 江栗 WEI Mingkui;CAI Shaorong;JIANG Li(Southwest Branch of State Grid Corporation of China,Chengdu 610041, China)
出处 《电力科学与技术学报》 CAS 北大核心 2021年第2期199-208,共10页 Journal of Electric Power Science And Technology
基金 国家电网有限公司科技项目(SGTYHT/17-JS-201)。
关键词 高水电比重 梯级水电 调峰 优化运行 风光水协调优化 high penetration of hydropower cascade hydropower plants peak-shaving strategies optimal operation co-optimization of hydro-wind-photovoltaic
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