模型预测控制
微电网
自动频率控制
控制理论(社会学)
功率(物理)
计算机科学
逆变器
工程类
控制(管理)
需求响应
惯性
电气工程
电
电压
物理
人工智能
经典力学
量子力学
作者
Song Ke,Jun Yang,Jun Yang,Peixiao Fan,Xingye Shi,Huiying Li,Fuzhang Wu
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2024-02-01
卷期号:20 (2): 1819-1831
被引量:8
标识
DOI:10.1109/tii.2023.3281658
摘要
The inertia level of microgrids decreases with the access of inverter-based distributed generations. Uncertainty of source loads in islanded microgrids can lead to frequency instability. Considering electric vehicles (EVs) as a typical regulable load, a charging station (CS) virtual synchronous generator (VSG) frequency control (FC) strategy that considers the user charging and grid FC demand is proposed. First, the control architecture of CS based on the VSG is designed. Second, considering the impact of VSG FC on EV user charging demand, the charging power response model considering the charging power FC cost is designed. Furthermore, multiobjective model predictive control algorithm is designed to improve the VSG control strategy, and the FC strategy is obtained. Simulation results show that the proposed method can provide inertial support and frequency regulation capability by the CS with VSG control strategy while satisfying EV charging demand. In addition, the FC cost can be decreased.
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