引用本文:郑子萱,倪扶瑶,汪颖,谢琦.基于模型预测控制混合储能系统的直流微电网韧性提升策略[J].电力自动化设备,2021,41(5):
ZHENG Zixuan,NI Fuyao,WANG Ying,XIE Qi.Operation resilience enhancing strategy of DC microgrid based on model predictive controlled hybrid energy storage system[J].Electric Power Automation Equipment,2021,41(5):
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基于模型预测控制混合储能系统的直流微电网韧性提升策略
郑子萱, 倪扶瑶, 汪颖, 谢琦
四川大学 电气工程学院,四川 成都 610065
摘要:
受可再生能源出力波动、负荷变化、故障以及非计划性脱网等事件的影响,直流微电网将面临不同时间尺度的动态功率不平衡问题。直流微电网运行韧性体现了系统在高频/小干扰事件与低频/极端事件下的快速响应、减少性能损失并尽快恢复的能力。提出了一种基于有限控制集模型预测控制的混合储能系统的直流微电网运行韧性提升策略。为完善直流微电网韧性评价体系,首先提出了量化直流微电网运行韧性的方法。其次,建立混合储能系统离散预测模型,设计代价函数以及不同控制目标之间的权重系数,最大化功率型与能量型储能系统的优势,实现了基于局部信号的快速充放电与能量自动恢复控制。最后,通过多种干扰事件算例,验证所提出的韧性提升方法的可行性与有效性。
关键词:  直流微电网  混合储能系统  模型预测控制  韧性
DOI:10.16081/j.epae.202105043
分类号:TM721.1
基金项目:国家重点研发计划项目(2019YFE0111500)
Operation resilience enhancing strategy of DC microgrid based on model predictive controlled hybrid energy storage system
ZHENG Zixuan, NI Fuyao, WANG Ying, XIE Qi
College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Abstract:
DC microgrids face dynamic power imbalance problems at different time scales due to renewable energy power fluctuations, load changes, faults and unplanned off-grid events. Operation resilience of DC microgrid reflects the system ability to respond quickly, reduce performance loss and recover as soon as possible under high frequency/small disturbance events and low frequency/extreme events. An enhancement strategy of DC microgrid operation resilience based on FCS-MPC(Finite Control Set Model Predictive Control) of hybrid energy storage system is proposed. To improve the evaluation system of DC microgrid resilience, a method to quantify the operation resilience of DC microgrid is proposed. Secondly, a discrete prediction model of hybrid energy storage system is established, and the cost function and the weighting factors between different control objectives are designed to maximize the advantages of power-type and energy-type energy storage systems. The fast charging and discharging ability and automatic energy recovery based on local signals are realized. Finally, the feasibility and effectiveness of the proposed resilience enhancement method are verified by cases of multiple disturbance events.
Key words:  DC microgrid  hybrid energy storage system  model predictive control  resilience

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