面向现货市场的梯级水电站联合优化模型研究  

Joint Operation of Dadu River Cascade Hydropower Plants in Spot Market

作　　者：胡纹彬 李基栋 黎宇杰 陈仕军[3] 漆楚杰 HU Wen-bin;LI Ji-dong;LI Yu-jie;CHEN Shi-jun;QI Chu-jie(College of Water Conservancy and Hydropower Engineering,Sichuan Agricultural University,Ya'an 625014,Sichuan Province,China;Nanya Branch of Sichuan Power Generation Co.,Ltd.,National Energy Group,Ya'an 625400,Sichuan Province,China;College of Water Resources and Hydropower,Sichuan University,Chengdu 610064,Sichuan Province,China)

机构地区：[1]四川农业大学水利水电学院,四川雅安625014 [2]国家能源集团四川发电有限公司南桠河水电分公司,四川雅安625400 [3]四川大学水利水电学院,四川成都610065

出　　处：《中国农村水利水电》2023年第7期243-249,255,共8页China Rural Water and Hydropower

基　　金：国家重点研发计划(2018YFB0905204);四川省科技支撑计划(2021YJ0544)。

摘　　要：电力现货市场环境下,梯级电站统一竞价是保障梯级电站上下游水量电量匹配关系的有效方法,而面向现货市场的梯级电站短期优化运行方式研究则是实现梯级统一竞价的前提。聚焦面向电力现货市场的梯级水电站联合优化调度问题,在分析电力市场负荷需求与出清价格相关特性的基础上,提出利用负荷需求变化过程驱动梯级水电站优化运行,再以大渡河下游瀑布沟至铜街子梯级电站为实例对象,建立了考虑日内出清价格变化趋势的期望电量最大模型,并将新型蜻蜓(Dragonfly Algorithm,DA)仿生优化算法应用于模型的求解中,最后选取典型日进行模拟计算,验证了模型与算法的有效性。结果表明:①采用蜻蜓算法求解的梯级电站运行方式如水位过程、出力过程等符合一般调度规律,计算时间与效率满足实用需求(120 s左右),说明其可以用于求解维数较高的梯级水电站短期优化调度问题。②电力负荷需求与出清价格具有较强的相关性,特别是二者的高峰、低谷出现时间高度一致,说明利用负荷需求过程驱动的梯级水电站优化运行可以引导梯级电站整体在负荷需求较大时段多发电,建立的期望电量最大模型具有一定的可行性,能够实现在保障梯级上下游水量电量匹配的同时追求较大的经济效益,可以作为水电系统参与现货市场竞价中电量申报方案的参考。In order to ensure the water,power matching relations between upstream and downstream of cascade hydropower stations,under power market conditions,it is necessary to carry out researches on short-term optimization operation mode of cascade power stations facing the spot market and exploit the matching method of water quantity and electricity quantity under the unified bidding mode of cascade power stations.This paper focuses on electricity spot market oriented joint optimization scheduling problem.Based on an analysis of the correlation between the power demand and the clearing price in the power market,the paper proposes using the power demand process to drive the optimal operation of cascade hydropower stations.By taking the cascade hydropower stations from Pubugou reservoir to Tongjiezi reservoir on Dadu River as an example,this paper constructs an expected power maximization model considering price-fluctuation within a day.A newly proposed dragonfly algorithm(DA)is applied to model calculation.A typical day data is selected as case study.The simulation results show that①the operation modes such as water level process and output process of the cascade power station obtained by DA conform to the general dispatching laws,the calculation time and efficiency meet the practical requirements(about 120 s),these indicate that DA can be used to solve the short-term optimization scheduling problem of cascade hydropower station with high dimension;and②there is a strong correlation between power demand and clearing price,especially the occurrence time of peak and trough of the two is highly consistent.It indicates that the optimal operation of cascade hydropower station driven by power demand can guide the cascade hydropower station to generate more power during the period of large demand.Therefore,the expected power generation maximization model established in this paper is feasible,which can achieve the pursuit of greater economic benefits while ensuring the water,power matching relations between upstream and downst

关 键 词：现货市场 梯级水电站 短期联合优化 负荷需求-出清价格相关性 蜻蜓算法 

分 类 号：TV737[水利工程—水利水电工程]