Real-time Energy Management Method for Electric-hydrogen Hybrid Energy Storage Microgrids Based on DP-MPC

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外文摘要：With the increasing presence of intermittent energy resources in microgrids,it is difficult to precisely predict the output of renewable resources and their load demand.In order to realize the economical operations of the system,an energy management method based on a model predictive control(MPC)and dynamic programming(DP)algorithm is proposed.This method can reasonably distribute the energy of the battery,fuel cell,electrolyzer and external grid,and maximize the output of the distributed power supply while ensuring the power balance and cost optimization of the system.Based on an ultra-short-term forecast,the output power of the photovoltaic array and the demand power of the system load are predicted.The off-line global optimization of traditional dynamic programming is replaced by the repeated rolling optimization in a limited period of time to obtain power values of each unit in the energy storage system.Compared with the traditional DP,MILP-MPC and the logic based real-time management method,the proposed energy management method is proved to be feasible and effective.

外文关键词：

Electric-hydrogen hybrid energyeconomic energy managementimproved dynamic programmingmicrogridmodel predictive control

作者：

Qi Li、Xueli Zou、Yuchen Pu、Weirong Chen

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作者单位：

School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China

基金：

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of Sichuan ProvinceFok Ying-Tong Education Foundation of China

项目编号：

52377123519771812022NSFSC0027171104

出版年：

2024

DOI：

10.17775/CSEEJPES.2020.02160

中国电机工程学会电力与能源系统学报(英文版)

中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI

ISSN：2096-0042

年,卷(期)：2024.10(1)

参考文献量42