MICROGRID ENERGY STORAGE OPTIMIZATION CONTROL BASED ON WIND POWER INTERVAL PREDICTION

Xiao Yunqi; Gao Yongze; Zhao Daijun; Wang Yida

doi:10.19912/j.0254-0096.tynxb.2025-0608

PDF(2190 KB)

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (9) : 672-679. DOI: 10.19912/j.0254-0096.tynxb.2025-0608

MICROGRID ENERGY STORAGE OPTIMIZATION CONTROL BASED ON WIND POWER INTERVAL PREDICTION

Xiao Yunqi, Gao Yongze, Zhao Daijun, Wang Yida

Author information +

History +

Abstract

To solve the problem of low reliability caused by typical wind power forecasting provided in the form of ‘power points’, an optimized control strategy for energy storage charging and discharging decisions based on ‘wind power interval prediction’ is proposed. Firstly, a wind power interval prediction model based on the dual attention mechanism and the Huber quantile loss function （DA-BiLSTM-QH） is established. Secondly, by integrating interval prediction information, microgrid load, energy storage status and real-time electricity price, a multi-objective optimization model of wind-storage microgrid system is established, and a solution strategy based on deep reinforcement learning DQN algorithm is designed. The effectiveness of the proposed strategy is verified through simulation of typical operating conditions.

Key words

wind power / prediction / energy storage / optimization control / microgrid / multi-objective optimization

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Xiao Yunqi, Gao Yongze, Zhao Daijun, Wang Yida. MICROGRID ENERGY STORAGE OPTIMIZATION CONTROL BASED ON WIND POWER INTERVAL PREDICTION[J]. Acta Energiae Solaris Sinica. 2026, 47(9): 672-679 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0608

References

[1] 平悦, 单永娟, 李诚. 碳中和目标下风电消纳量的影响因素分析[J]. 太阳能学报, 2022, 43(11): 235-241.
Ping Y, Shan Y J, Li C.Analysis of influencing factors of wind power utilization under carbon neutral target[J]. Acta Energiae Solaris Sinica, 2022, 43(11): 235-241.
[2] 吴问足, 乔颖, 鲁宗相, 等. 风电功率概率预测方法及展望[J]. 电力系统自动化, 2017, 41(18): 167-175.
Wu W Z, Qiao Y, Lu Z X, et al.Methods and prospects for probabilistic forecasting of wind power[J]. Automation of Electric Power Systems, 2017, 41(18): 167-175.
[3] 向玲, 李京蓄, 王朋鹤, 等. 基于VMD-FIG和参数优化GRU的风速多步区间预测[J]. 太阳能学报, 2021, 42(10): 237-242.
Xiang L, Li J X, Wang P H, et al.Wind speed multistep interval forecasting based on VMD-FIG and parameter-optimized GRU[J]. Acta Energiae Solaris Sinica, 2021, 42(10): 237-242.
[4] 殷豪, 黄圣权, 孟安波, 等. 基于长短期记忆网络分位数回归的短期风电功率概率密度预测[J]. 太阳能学报, 2021, 42(2): 150-156.
Yin H, Huang S Q, Meng A B, et al.Short-term wind power probability density prediction based on long short term memory network quantile regression[J]. Acta Energiae Solaris Sinica, 2021, 42(2): 150-156.
[5] 周勇良, 余光正, 刘建锋, 等. 基于改进长期循环卷积神经网络的海上风电功率预测[J]. 电力系统自动化, 2021, 45(3): 183-191.
Zhou Y L, Yu G Z, Liu J F, et al.Offshore wind power prediction based on improved long-term recurrent convolutional neural network[J]. Automation of Electric Power Systems, 2021, 45(3): 183-191.
[6] 韦立坤, 赵波, 吴红斌, 等. 虚拟电厂下计及大规模分布式光伏的储能系统配置优化模型[J]. 电力系统自动化, 2015, 39(23): 66-74.
Wei L K, Zhao B, Wu H B, et al.Optimal allocation model of energy storage system in virtual power plant environment with a high penetration of distributed photovoltaic generation[J]. Automation of Electric Power Systems, 2015, 39(23): 66-74.
[7] 孟贤, 郭启蒙, 李颖欢, 等. 考虑双向需求的混合储能容量多目标优化配置[J]. 太阳能学报, 2023, 44(8): 45-53.
Meng X, Guo Q M, Li Y H, et al.Multi-objrctive optimal configuration of hybrid energy storage capacity considering two-way demand[J]. Acta Energiae Solaris Sinica, 2023, 44(8): 45-53.
[8] 曹阳, 温彩凤, 刘珍, 等. 基于RSM和NSGA-Ⅱ法的风电系统经济优化研究[J]. 太阳能学报, 2022, 43(1): 161-168.
Cao Y, Wen C F, Liu Z, et al.Multi-objective optimization of wind power systems based on RSM and NSGA-II methods[J]. Acta Energiae Solaris Sinica, 2022, 43(1): 161-168.
[9] 李聪, 秦立军. 基于改进粒子群算法的混合储能独立调频的容量优化研究[J]. 太阳能学报, 2023, 44(1): 426-434.
Li C, Qin L J.Sizing optimization for hybrid energy storage system independently participating in regulation market using improved particle swarm optimization[J]. Acta Energiae Solaris Sinica, 2023, 44(1): 426-434.
[10] 施锐, 张新燕, 刘莎莎, 等. 基于SOC均衡的分布式电池储能系统协同控制策略[J]. 太阳能学报, 2023, 44(9): 546-552.
Shi R, Zhang X Y, Liu S S, et al.Co-control strategy of distributed battery energy storage system based on SOC equalization[J]. Acta Energiae Solaris Sinica, 2023, 44(9): 546-552.
[11] 王旭光, 张可, 李潇, 等. 基于变量相关注意力机制的短期风速预测[J]. 太阳能学报, 2023, 44(8): 467-476.
Wang X G, Zhang K, Li X, et al.Short-term wind speed forecasting based on variable correlation attention mechanism[J]. Acta Energiae Solaris Sinica, 2023, 44(8): 467-476.