现货市场环境下低水头梯级水电群精细化建模出清方法

Clearing method for refined modeling of low head cascaded hydropower group under spot market environment

梯级水电站间存在水力时空耦合关系,低水头电站调节性能较弱,在日尺度范围内水头变化较大,耗水率也随之变化,因此,在日前现货出清模型中不宜通过全天固定耗水率对低水头电站进行梯级水电约束简化处理。结合广西电网电力市场需求,以全社会购电成本最小及优先消纳清洁能源为优化目标,充分考虑低水头电站的水力特性曲线等复杂约束并对其进行线性化处理,构建基于梯级水电群精细化建模的日前出清模型,并调用商业优化求解器对模型进行求解。将广西电网34座水电站、101座新能源电站和47台火电机组的真实日发电计划边界数据作为参考,仿真结果表明所建模型能适应低水头电站的水头波动特性,反映梯级水电站之间出力和库容的联动关系,提升低水头梯级水电群的可发电能力。

There exists hydraulic spatiotemporal coupling relationship among cascaded hydropower stations,the regulation performance of low head power stations is weak,the water head changes greatly within the daily scale range,the water consumption rate also changes accordingly.Therefore,it is not appropriate to simplify the cascaded hydropower constraints of low head hydropower stations with a fixed water consump⁃tion rate in the day-ahead spot clearing model.Combining the need of electricity market in Guangxi Power Grid,taking the minimum power purchase cost of the whole society and the consumption priority of clean energy as the optimization goals,fully considering the complex constraints such as the hydraulic characteris⁃tic curve of low head hydropower stations and linearizing them,a day-ahead clearing model based on the refined modeling of the cascaded hydropower group is constructed,and a commercial optimization solver is called to solve the model.Taking the real daily generation plan boundary data of 34 hydropower stations,101 renewable energy power stations and 47 thermal power units in Guangxi Power Grid as the reference,the simulative results show that the proposed model can adapt to the head fluctuation characteristics of low head hydropower stations,reflect the linkage relationship between output and storage capacity of cascaded hydropower stations,and promote the available generation capacity of low head cascaded hydropower group.