摘要
调峰水电站在电网中担任追踪用电负荷的任务,其发电出力常随负荷增减而被动变化,因此在不影响其调峰任务的前提下更多消纳风光成为调峰水电站消纳新能源的能力评价的关键。为此,以四川主力调峰电厂--大渡河流域瀑布沟水电站及其近区风光资源为例,构建水电站调峰能力评价指标体系,提出基于风光互补效应最优的风光最佳配比决策方法,运用k-均值聚类法选择水电出力及风光聚合出力的典型日,进而提出6种不同风光规模的水风光综合配比方案,采用层次分析法和熵权法对各方案进行主客观耦合赋权,得到调峰水电站可接纳的最佳风光规模。结果表明,在最佳光风比为2∶1的基础上,瀑布沟水电站消纳风光效果最好的方案是风电30×10^(4)kW,光伏60×10^(4)kW。
The peak regulating hydropower station serves as the task of tracking the electricity load in the power grid,and its generation output often changes passively with the fluctuation of the load,so how to consume more wind and solar power without affecting the peak adjustment has become the key to evaluating the capacity of peak regulating hydropower station to consume new energy.Taking the main peaking power plant of Sichuan power grid-Pubugou Hydropower Sta-tion of Dadu River and its wind and photovoltaic resources as an example,the evaluation index system of the peak regula-ting capacity of the hydropower station was constructed.A decision-making method for the optimal ratio of wind to pho-tovoltaics based on the optimal complementary effects of new energy was proposed,and the typical days of hydropower output and wind-photovoltaics synergistic output were selected by k-means clustering method.Then six water-wind-pho-tovoltaics integrated proportioning schemes were proposed.Analytic hierarchy process and entropy weight method were used to conduct subjective-objective coupling weight to each scheme to get the optimal scale of wind and photovoltaics that can be accommodated by the hydropower station.The results show that based on the optimal photovoltaics-wind ratio of 2∶1,Pubugou Hydropower Station has the best effect of consuming new energy when the wind power is 300000 kW and photovoltaic 600000 kW.
作者
郑春旭
朱燕梅
姚铧宸
ZHENG Chun-xu;ZHU Yan-mei;YAO Hua-chen(College of Water Resource and Hydropower,Sichuan University,Chengdu 610065,China;Desuatels Faculty of Management,McGill University,Montreal QCH3A0B7,Canada)
出处
《水电能源科学》
北大核心
2024年第11期186-189,136,共5页
Water Resources and Power
基金
四川省博士后科研项目特别资助(TB2023058)
四川大学专职博士后研发基金项目(2023SCU12120)。
关键词
调峰水电站
新能源消纳
水风光配比
K-均值聚类
层次分析法
熵权法
peak regulating hydropower station
new energy resources consumption
ratio of wind power to photo-voltaic power
k-means clustering
analytic hierarchy process
entropy weight method