储能MPC平抑分散式风电并网功率波动策略研究

贺彬; 任永峰; 贾伟青; 薛宇; 杨朋威; 任正

doi:10.19912/j.0254-0096.tynxb.2023-0110

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (6) : 132-139. DOI: 10.19912/j.0254-0096.tynxb.2023-0110

储能MPC平抑分散式风电并网功率波动策略研究

贺彬¹, 任永峰¹, 贾伟青², 薛宇³, 杨朋威⁴, 任正⁴

作者信息 +

STRATEGY OF ENERGY STORAGE MPC TO SMOOTH GRID-CONNECTED POWER FLUCTUATION OF DISTRIBUTED WIND POWER

He Bin¹, Ren Yongfeng¹, Jia Weiqing², Xue Yu³, Yang Pengwei⁴, Ren Zheng⁴

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文章历史 +

摘要

针对分散式风力发电随机性及季节不均衡性导致的并网功率波动问题,提出基于模型预测控制的风储联合运行策略,以并网功率波动最小、储能出力最优及能量损耗最小为目标构建风储一体化运行模型,利用Matlab二次规划求解风电并网功率和储能输出功率;考虑到储能荷电状态的约束,采用模型预测控制算法优化电池储能充放电功率,实时滚动优化风储并网功率,保持储能SOC维持在合理的范围内,减少电池越限次数。算例基于内蒙古某分散式风电场全年实测录波数据,选取四季典型场景集分析1和10 min不同时间尺度下风电场输出功率与并网功率的最优解;仿真结果表明所提方法能够按照风电输出特性实时优化储能充放电,降低风电并网功率波动,提高风储联合系统的经济运行。

Abstract

This paper proposes a model predictive control strategy of wind-storage combined operation to solve the problem of grid-connected power fluctuation due to randomness and seasonal imbalance of distributed wind power generation. A wind-storage integrated operation model was established with the objectives of minimizing grid-connected power fluctuations, optimizing storage output, and minimizing energy losses, and Matlab quadratic programming was used to solve the grid-connected power of the wind power and the output power of the energy storage. In addition, a model predictive control algorith is used to optimize the charging and discharging power of battery storage to achieve real-time rolling optimization of the wind-storage grid-connected power, which maintains the storage SOC within a reasonable range and reduces the number of battery overruns. Finally, the example is selected to optimize the operation of a distributed wind farm in Inner Mongolia with different time scales of 1 and 10 min in the annual measured output power recording data. The simulation results show that the proposed method can optimize energy storage charging and discharging in real-time to reduce the grid-connected power fluctuations further and improve the economic operation of the combined wind and storage system.

导出引用

贺彬, 任永峰, 贾伟青, 薛宇, 杨朋威, 任正. 储能MPC平抑分散式风电并网功率波动策略研究[J]. 太阳能学报. 2024, 45(6): 132-139 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0110

He Bin, Ren Yongfeng, Jia Weiqing, Xue Yu, Yang Pengwei, Ren Zheng. STRATEGY OF ENERGY STORAGE MPC TO SMOOTH GRID-CONNECTED POWER FLUCTUATION OF DISTRIBUTED WIND POWER[J]. Acta Energiae Solaris Sinica. 2024, 45(6): 132-139 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0110

中图分类号： TK519

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