Cooperative Optimal Control of Source-load-storage Energy in DC Microgrid with Virtual Energy Storage

被引：0
|
作者：
Zhang X. [1 ]
Shu Y. [1 ]
Fu Y. [1 ]
Wang Y. [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding
来源：
Gaodianya Jishu/High Voltage Engineering | 2023年 / 49卷 / 08期
基金：
中国国家自然科学基金;
关键词：
controllable load; electric vehicles; energy management; supercapacitor; virtual energy storage;
D O I：
10.13336/j.1003-6520.hve.20221350
中图分类号：
学科分类号：
摘要：
Incorporating the controllable source-load into the energy storage control system in the DC microgrid in the form of virtual energy storage can provide a feasible solution for the system to efficiently complete the coordinated optimization of source-load-storage energy. This paper firstly establishes a virtual energy storage model for wind turbines and seawater based on the conversion relationship between the rotational kinetic energy of wind turbines and asynchronous motors and capacitive energy storage. Since electric vehicles have both mobile load and energy storage characteristics, the electricity price mechanism is used to formulate an orderly charging and discharging mode, and to establish a virtual energy storage model for electric vehicles. Secondly, an economic optimization model of the virtual energy storage system is established in conjunction with the source, load, and storage system to maximize the operating income of the microgrid during the day, so that an energy collaborative optimization control strategy is formed with the virtual capacitance value and the virtual state of charge in each period as the operating parameters. Finally, it is verified by simulation that the coordinated optimal control of source-load-storage energy can not only relieve the regulation pressure of energy storage in the DC microgrid, but also significantly improve the operating economy of the microgrid. © 2023 Science Press. All rights reserved.
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收藏
页码：3497 / 3508
页数：11
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