基于源荷匹配的水光混蓄电站运行策略  

Operation Policy of Hybrid Pumped Storage and Photovoltaic Power Station Based on Source-Load Matching

作　　者：计军恒 冯晨 朱燕梅 JI Jun-heng;FENG Chen;ZHU Yan-mei(Dadu River Hydropower Development Co.,Ltd.,Chengdu 610041,Sichuan Province,China;College of Water Resource and Hydropower,Sichuan University,Chengdu 610065,Sichuan Province,China)

机构地区：[1]国能大渡河流域水电开发有限公司,四川成都610041 [2]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》2024年第6期271-277,共7页China Rural Water and Hydropower

基　　金：四川大学专职博士后研发基金项目(2023SCU12120);四川省博士后科研项目特别资助项目(TB2023058)。

摘　　要：在“双碳”目标远景下,加快发展清洁能源构建绿色低碳的新型电力系统刻不容缓,然而以太阳能为代表的清洁能源受天然因素影响,具有较强波动性与随机性,难以大量并网消纳。因此,在考虑传统水电建设周期长、调节性能受到天然来水影响较大的原因,在传统水电机组基础上加入可逆式机组构成混合式抽水蓄能电站增加水电调节能力,可与光伏电站联合运行,平抑光伏发电波动性,促进新能源消纳。为探究在大量光伏并网下,含有混合式抽水蓄能电站的水光蓄互补发电系统的运行方式,构建源荷匹配度最佳为目标函数的日内优化运行模型,运用中长期-短期多时间尺度嵌套的求解策略,使用中长期时间尺度计算结果作为短期时间尺度计算边界条件,并采用逐步优化算法以及粒子群算法求解不同来水以及不同光伏出力情景下系统运行方式。计算结果表明在不同来水以及不同光伏出力下,混合式抽水蓄能电站可采取不同运行工况,与传统水电形成“凹”字型出力与光伏出力形成互补,不仅可以促进光伏并网消纳,还能与电网负荷需求高度匹配,此外,不同典型日下,混合式抽水蓄能电站上下水库的日内水位变幅均呈现出上水库“先泄后蓄”、下水库“先蓄后泄”的趋势。研究结果为大规模光伏并网下混合式抽水蓄能电站运行方式提供参考。Under the vision of the"dual carbon"goal,it is urgent to accelerate the development of clean energy and build a green and lowcarbon new power system.However,clean energy represented by solar energy is affected by natural factors and has strong volatility and randomness,making it difficult to consume in large quantities through grid connection.Therefore,considering the long construction period and significant impact of natural inflow on the regulation performance of traditional hydropower,adding reversible units to traditional hydropower units to form a hybrid pumped storage power station increases its hydropower regulation capacity,and can operate in conjunction with photovoltaic power stations to suppress the volatility of photovoltaic power generation and promote grid connected consumption.To explore the operation mode of the water solar storage complementary power generation system with hybrid pumped storage power stations under a large number of photovoltaic grid connections,this paper constructs a daily optimization scheduling model with the optimal source load matching as the objective function.The solution strategy is nested in multiple time scales from medium term to short one,using medium and long-term time scale calculation results as short-term time scale calculation boundary conditions,and the stepwise optimization algorithm and particle swarm optimization algorithm are used to solve the system operation mode under different incoming water and photovoltaic output scenarios.The results indicate that under the premise of different incoming water and different photovoltaic output processes,hybrid pumped storage power plants can adopt different operating conditions,forming a“concave”shaped output with traditional hydropower and complementing the photovoltaic output,which can not only promote photovoltaic grid connection and consumption,but also meet the load demand of the power grid.In addition,under different typical days,the daily water level fluctuations of the upper and lower reservoirs of hybrid

关 键 词：混合式抽水蓄能电站 水光蓄发电系统 源荷匹配 优化算法 

分 类 号：TM612[电气工程—电力系统及自动化] TM614TM615