人民黄河2025，Vol.47Issue(1)：141-147,7.DOI:10.3969/j.issn.1000-1379.2025.01.023
喀什地区叶尔羌河流域水光联合调度互补特性研究
Research on Complementary Characteristics of Joint Scheduling of Hydropower and Optoelectronic in the Yarkand River Basin of Kashgar Region
摘要
Abstract
Focusing on the analysis and quantification of the complementary characteristics of hydro-solar renewable energy power generation in Kashgar Prefecture of the Yarkand River Basin,based on the correlation coefficients of Pearson,Spearman rank and Tau-b,a method for calculating the complementarity coefficient of hydropower and optoelectronic was proposed to study the complementary law of hydro-solar out-put at the grid nodes of Shache,Yingjisha and Yecheng in the area.With the goal of minimizing the source-load matching coefficient under the premise of giving priority to the consumption of photovoltaic output,a joint scheduling model of hydro-solar complementation was estab-lished to optimize and adjust the hydropower output process.The results show that on the hourly scale,the values of the three correlation coef-ficients range from-0.849 to-0.407,and the hydro-solar complementarity coefficients of the Yingisha and Shache nodes are 0.715 and 0.501,respectively,indicating that the hydropower and optoelectronic have a certain complementarity.On the daily and monthly scales,the complementarity of hydropower and optoelectronic at each node is relatively weak.After the optimization of the hydro-solar complementation model,the complementarity of hydro-solar output is improved,and the hydro-solar complementation coefficients increase to 0.75,0.755 and 0.621 on the hourly,daily,monthly scales,respectively,which are 37.6%,221.3%and 37.4%higher than the original complementation coefficients.关键词
光伏发电/水电出力/互补特性/模型/喀什/叶尔羌河流域Key words
photovoltaic power generation/hydroelectric output/complementary characteristics/model/Kashgar/Yarkand River Basin分类
信息技术与安全科学引用本文复制引用
何珊珊,义崇政,蒋志强,邱斌..喀什地区叶尔羌河流域水光联合调度互补特性研究[J].人民黄河,2025,47(1):141-147,7.基金项目
长江设计集团有限公司自主科研项目(CX2019Z10) （CX2019Z10）
国家自然科学基金资助项目(52479017,52179016,52039004) （52479017,52179016,52039004）
