RESEARCH ON BUS VOLTAGE STABILIZATION OF PHOTOVOLTAIC STORAGE DC MICROGRID BASED ON MPC

Luo Zhaoxu; Yu Kang; Cao Yunzhou; Cheng Yinan

doi:10.19912/j.0254-0096.tynxb.2025-0288

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (7) : 632-640. DOI: 10.19912/j.0254-0096.tynxb.2025-0288

RESEARCH ON BUS VOLTAGE STABILIZATION OF PHOTOVOLTAIC STORAGE DC MICROGRID BASED ON MPC

Luo Zhaoxu, Yu Kang, Cao Yunzhou, Cheng Yinan

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Abstract

A model predictive control （MPC） based ESS control scheme is proposed to stabilize the DC microgrid bus voltage fluctuations caused by random fluctuations in photovoltaic output. This method can accurately generate ESS output power reference based on changes in bus voltage, and use recursive least squares method with forgetting factor for online parameter identification and rolling optimization of model parameters to reduce the impact of photovoltaic fluctuations. At the same time, considering the SOC of ESS as an additional constraint condition, the principles for selecting weight coefficients in the objective function are obtained using the Lyapunov method, thus achieving a good balance between the fluctuation range of bus voltage and the health of ESS. The outstanding advantage of this method is that the ESS output power reference instruction can be directly calculated and generated based on local measurement data, without the need for external communication, reducing system costs and improving reliability. The simulation and experimental results have verified the correctness and effectiveness of the method.

Key words

DC microgrid / model predictive control / energy storage / photovoltaic power generation / voltage fluctuation

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Luo Zhaoxu, Yu Kang, Cao Yunzhou, Cheng Yinan. RESEARCH ON BUS VOLTAGE STABILIZATION OF PHOTOVOLTAIC STORAGE DC MICROGRID BASED ON MPC[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 632-640 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0288

References

[1] 李晖, 刘栋, 姚丹阳. 面向碳达峰碳中和目标的我国电力系统发展研判[J]. 中国电机工程学报, 2021, 41(18): 6245-6259.
Li H, Liu D, Yao D Y.Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2021, 41(18): 6245-6259.
[2] 卓振宇, 张宁, 谢小荣, 等. 高比例可再生能源电力系统关键技术及发展挑战[J]. 电力系统自动化, 2021, 45(9): 171-191.
Zhuo Z Y, Zhang N, Xie X R, et al.Key technologies and developing challenges of power system with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2021, 45(9): 171-191.
[3] 姚玉璧, 郑绍忠, 杨扬, 等. 中国太阳能资源评估及其利用效率研究进展与展望[J]. 太阳能学报, 2022, 43(10): 524-535.
Yao Y B, Zheng S Z, Yang Y, et al.Progress and prospects on solar energy resource evaluation and utilization efficiency in China[J]. Acta Energiae Solaris Sinica, 2022, 43(10): 524-535.
[4] 文云峰, 杨伟峰, 汪荣华, 等. 构建100%可再生能源电力系统述评与展望[J]. 中国电机工程学报, 2020, 40(6): 1843-1855.
Wen Y F, Yang W F, Wang R H, et al.Review and prospect of toward 100% Renewable energy power systems[J]. Proceedings of the CSEE, 2020, 40(6): 1843-1855.
[5] 朱珊珊, 汪飞, 郭慧, 等. 直流微电网下垂控制技术研究综述[J]. 中国电机工程学报, 2018, 38(1): 72-84, 344.
Zhu S S, Wang F, Guo H, et al.Overview of droop control in DC microgrid[J]. Proceedings of the CSEE, 2018, 38(1): 72-84, 344.
[6] 苗中磊, 蔡逢煌, 王群兴, 等. 分布式直流微电网分级控制技术综述[J]. 电源学报, 2019, 17(6): 115-127.
Miao Z L, Cai F H, Wang Q X, et al.Review of hierarchical control of distributed DC microgrid[J]. Journal of Power Supply, 2019, 17(6): 115-127.
[7] 朱介北, 李峰, 俞露杰, 等. 基于固态变压器的互联交直流微电网功率互济自主控制[J]. 电网技术, 2023, 47(1): 284-295.
Zhu J B, Li F, Yu L J, et al.Autonomous power mutual support control for AC/DC microgrid interconnected by solid state transformer[J]. Power System Technology, 2023, 47(1): 284-295.
[8] 黄崇鑫, 陈振宇, 邓松. 含储能双母线直流微电网电压和功率协调控制[J]. 电力系统保护与控制, 2023, 51(11): 141-149.
Huang C X, Chen Z Y, Deng S.Voltage-power coordinated control of a dual-bus DC microgrid with energy storage[J]. Power System Protection and Control, 2023, 51(11): 141-149.
[9] Alidrissi Y, Ouladsine R, Elmouatamid A, et al.An energy management strategy for DC microgrids with PV/battery systems[J]. Journal of Electrical Engineering & Technology, 2021, 16(3): 1285-1296.
[10] 马越超, 王生铁, 刘瑞明, 等. 考虑用户满意度的风储直流微电网协调控制策略研究[J]. 电网技术, 2022, 46(8): 3094-3107.
Ma Y C, Wang S T, Liu R M, et al.Research on coordinated control strategy of DC microgrid with wind-energy storage considering user's satisfaction[J]. Power System Technology, 2022, 46(8): 3094-3107.
[11] 刘宝泉, 张浩铭, 李昊轩, 等. 逆变负载下光储DC/DC变换器的MPPT抖动抑制方法[J]. 太阳能学报, 2025, 46(3): 384-393.
Liu B Q, Zhang H M, Li H X, et al.MPPT ripple suppression method for photovoltaic-storage dc/dc converter under inverter load[J]. Acta Energiae Solaris Sinica, 2025, 46(3): 384-393.
[12] 刘淇伟, 曾江, 冯健磊, 等. 基于镜像虚拟电阻技术的三相光伏逆变器直流电压波动抑制策略[J]. 太阳能学报, 2024, 45(3): 555-564.
Liu Q W, Zeng J, Feng J L, et al.DC voltage fluctuation suppression strategy for three-phase photovoltaic inverters based on mirror virtual resistance principle[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 555-564.
[13] Kreuwel F P M, Knap W H, Visser L R, et al. Analysis of high frequency photovoltaic solar energy fluctuations[J]. Solar Energy, 2020, 206: 381-389.
[14] 李建林, 郭斌琪, 牛萌, 等. 风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196.
Li J L, Guo B Q, Niu M, et al.Optimal configuration strategy of energy storage capacity in wind/PV/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[15] Lei M Y, Yang Z L, Wang Y B, et al.An MPC-based ESS control method for PV power smoothing applications[J]. IEEE Transactions on Power Electronics, 2018, 33(3): 2136-2144.
[16] 李相俊, 王上行, 惠东. 电池储能系统运行控制与应用方法综述及展望[J]. 电网技术, 2017, 41(10): 3315-3325.
Li X J, Wang S X, Hui D.Summary and prospect of operation control and application method for battery energy storage systems[J]. Power System Technology, 2017, 41(10): 3315-3325.
[17] 罗沁, 王嘉梅, 黄璇, 等. 考虑容量差异的多储能SOC均衡控制策略[J]. 电子测量技术, 2024, 47(12): 18-27.
Luo Q, Wang J M, Huang X, et al.Multi-energy SOC balancing control strategy considering capacity difference[J]. Electronic Measurement Technology, 2024, 47(12): 18-27.
[18] 张良, 闫凯宏, 冷祥彪, 等. 基于SOC下垂控制的独立直流微电网协调控制策略研究[J]. 电力系统保护与控制, 2021, 49(12): 87-97.
Zhang L, Yan K H, Leng X B, et al.Research on coordinated control strategy of an autonomous DC microgrid based on SOC droop control[J]. Power System Protection and Control, 2021, 49(12): 87-97.
[19] Li Q, Zhao F, Zhuang L, et al.Research on the control strategy of DC microgrids with distributed energy storage[J]. Scientific Reports, 2023, 13: 20622.
[20] Ali S U, Waqar A, Aamir M, et al.Model predictive control of consensus-based energy management system for DC microgrid[J]. PLoS One, 2023, 18(1): e0278110.
[21] Nair U R, Sandelic M, Sangwongwanich A, et al.An analysis of multi objective energy scheduling in PV-BESS system under prediction uncertainty[J]. IEEE Transactions on Energy Conversion, 2021, 36(3): 2276-2286.
[22] 米阳, 王晓敏, 钱翌明, 等. 考虑通信时延的直流微电网分布式储能单元协调控制[J]. 电力系统保护与控制, 2022, 50(24): 91-100.
Mi Y, Wang X M,Qian Y M, et al.Coordinated control method of distributed energy storage units in a DC microgrid considering communication delay[J]. Power System Protection and Control, 2022, 50(24): 91-100.
[23] 海涛, 刘昱麟, 王钧, 等. 基于模型预测控制的光伏混合储能系统控制策略[J]. 电源学报, 2026: 24(3): 111-118.
Hai T, Liu Y L, Wang J, et al.Control strategy of photovoltaic hybrid energy storage system based on model predictive control[J]. Journal of Power Supply, 2026: 24(3): 111-118.
[24] 殷展翔, 陆锋, 潘庭龙, 等. 基于FCS-MPC的分布式HESS功率协调控制[J]. 太阳能学报, 2024, 45(1): 442-449.
Yin Z X, Lu F, Pan T L, et al.Distributed hybrid energy storage system power coordination control based on Fcs-Mpc[J]. Acta Energiae Solaris Sinica, 2024, 45(1): 442-449.
[25] Zhang F, Fu A H, Ding L, et al.MPC based control strategy for battery energy storage station in a grid with high photovoltaic power penetration[J]. International journal of Electrical Power & Energy Systems, 2020, 115: 105448.