面向灵活爬坡服务的高比例新能源电力系统可调节资源优化调度模型

Optimal dispatch model of adjustable resources in a power system with high proportion of renewable energy for flexible ramping product

随着高比例新能源接入电网,新能源出力和负荷的波动性及不确定性对系统的灵活爬坡能力提出更高的要求。提出了一种面向灵活爬坡服务的针对高比例新能源电力系统中常规发电机组、储能、柔性负荷等可调节资源的优化调度模型。首先,提出一种考虑日前预测净负荷不确定性的灵活爬坡需求估计方法,根据爬坡起始和结束时刻净负荷及其安全裕度,量化估计电力系统灵活爬坡需求。其次,基于生成的净负荷不确定性场景,提出了考虑系统灵活爬坡需求的基于两阶段混合整数线性规划的可调节资源优化调度模型,从日前-实时两个阶段实现可调节资源的优化调度。最后,基于IEEE-RTS-24节点系统,在4种典型方案场景下对比验证所提优化调度模型。结果表明所提模型能有效提升系统灵活性,降低系统运行成本。

With the integration of a high proportion of renewable energy,the fluctuations and uncertainties bring a higher demand on the flexible ramping capacity of the power system.This paper proposes an optimal dispatch of adjustable resources such as conventional generation units,energy storage systems and flexible loads of the power system for a flexible ramping product(FRP).First,an estimation method of the flexible ramping requirements considering the uncertainties of the day-ahead forecasting net load is proposed according to the start-and end-time net load and its safety margin to quantitatively estimate flexible ramping requirements.Second,based on the generated uncertain scenarios of the net load,it proposes an optimal dispatching model of the adjustable resources with a two-stage mixed-integer linear programming approach.The dispatching model is implemented from the day-ahead unit commitment and real-time economic dispatch.Finally,four typical cases are considered to compare and validate the optimal dispatching model based on the IEEE-RTS-24 bus system.The results show that the proposed dispatching model can effectively improve system flexibility and reduce operating costs.