晏鸣宇

个人信息Personal Information

研究员(自然科学)   博士生导师   硕士生导师  

性别:男

在职信息:在职

所在单位:电气与电子工程学院

学历:研究生(博士)毕业

学位:工学博士学位

毕业院校:伊利诺伊理工大学

学科:电力系统及其自动化

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Multi-time scale coordinated control and scheduling of inverter-based TCLs with variable wind generation

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论文类型:期刊论文

论文编号:20261386

第一作者:Meng Song

通讯作者:Mohammad Shahidehpour

合写作者:Wei Sun,Mingyu Yan,Ciwei Gao

发表刊物:IEEE Transactions on Sustainable Energy

收录刊物:SCI

刊物所在地:美国

学科门类:工学

一级学科:电气工程

文献类型:J

卷号:12

期号:1

页面范围:46-57

ISSN号:1949-3029

关键字:Inverter-based TCL, demand response, multi-time scale, response curve, wind generation.

DOI码:10.1109/TSTE.2020.2971271

发表时间:2021-01-01

影响因子:8.31

摘要:To address microgrid tie flow errors caused by wind generation variability, this paper proposes and develops a multi-time scale coordinated control and scheduling strategy for inverter-based thermostatically controlled loads (TCLs). First, in hour-time scale, inverter-based TCLs with adjusting temperature set-point are modeled as virtual generators to compensate tie flow deviations in the day-ahead plan. Next, in minute-time scale, virtual batteries representing operating behaviors of inverter -based TCLs with frequency control are scheduled determined by the control of virtual generators in hour-time scale. The virtual batteries are scheduled to smooth out tie flow errors corresponding to day-ahead plan and hour-time scale schedules. The multi-time scale control methods are coordinated to employ the response potential of inverter-based TCLs and response curve-based methods are proposed to control inverter-based TCLs considering the customer privacy. The multi-time scale stochastic schedules which are based on response curves of inverter-based TCLs are coordinated to accommodate wind generation variability. Simulation results demonstrate that the microgrid tie flow errors are effectively mitigated by the proposed multi-time scale coordinated control and scheduling of inverter-based TCLs.

发布期刊链接:https://ieeexplore.ieee.org/abstract/document/8979337/authors#authors