Double layer rolling based optimization model for joint operation of wind-hydro- storage system

doi:10.11930/j.issn.1004-9649.202504088

Abstract

Abstract:

With the gradual increase in the penetration rate of wind power and other renewable energy sources, the uncertainty of power grids operation has intensified accordingly. How to safely and efficiently exert the regulating effect of hydropower is of great significance to the stable operation of power grids. To this end, a bi-level rolling optimal scheduling method for the joint operation of wind-hydro-storage systems is proposed. First, a bi-level rolling optimal control model for wind-hydro-storage joint operation is constructed. The upper-level optimization is based on a long time scale, with the goal of minimizing the system operation cost; the lower-level optimization is based on a short time scale, aiming to minimize the system output deviation. Second, the model predictive control (MPC) method is adopted to solve the optimization model. The real-time rolling optimization of the lower level is used to feedback and correct the upper-level scheduling plan, thereby reducing the impact of uncertainty on the system. Finally, a case study is carried out on a cascade hydropower system in South China. The simulation results verify the effectiveness of the proposed method in improving energy utilization efficiency, reducing operation costs and addressing system uncertainty.

Key words: renewable energy, uncertainty, cascade hydropower stations, model predictive control, two-layer rolling

RUAN Honghua, DENG Ziqi, CHEN Feixiong, LIN Junjie. Double layer rolling based optimization model for joint operation of wind-hydro- storage system[J]. Electric Power, 2026, 59(4): 1-11.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202504088

https://www.electricpower.com.cn/EN/Y2026/V59/I4/1

Figures/Tables 14

Fig.1 Structure diagram of double-layer rolling optimization model

Fig.2 Two-layer rolling optimization framework

Fig.3 Flowchart of the two-layer rolling optimization method for joint operation of wind-hydro-storage

Fig.4 Topology of cascaded hydropower

Table 1 Basic parameters of the power station

电站	调节性能	装机容量/MW	正常水位/m	死水位/m	最大发电流量/(m³·s^–1)	最大出库流量/(m³·s^–1)
1号电站	多年	210	1140	1076	490.5	3886
2号电站	年	243	970	950	632.2	11142
3号电站	日	210	837	822	994.5	15956
4号电站	年	437	760	720	1250.0	18360

Fig.5 24 h forecast information

Fig.6 Scheduling operation program for system

Fig.7 Changes in reservoir capacity of power stations No. 1 and No. 3

Table 2 Cost comparison before and after energy storage access 单位：万元

储能接入情况	储能运行成本	弃水成本	弃风成本	失负荷成本	运行维护成本	总成本
未接入	0	42.889	12.354	4.404	14.402	74.049
接入储能	12.524	27.320	5.906	3.535	14.695	63.980

Fig.8 Comparison of power deficit

Table 3 Comparison of algorithm effects

方法	机组出力平均相对误差/%	储能电量平均相对误差/%	上层调度周期用时/s	下层控制平均用时/s
1	5.31	27.02	694.530593	7.234694
2	4.05	18.30	844.943545	8.801495

Fig.9 Comparison of the relative error between the total output of the unit and the ideal operation result

Fig.10 Comparison of the relative error between the storage power and the ideal operation result

Fig.11 Comparison of costs with different prediction errors

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