A Novel γ Control for Enhancing Voltage Regulation of Electric Springs in Low-Voltage Distribution Networks

被引:7
作者
He, Yufei [1 ]
Wang, Minghao [1 ]
Xu, Zhao [1 ]
Jia, Youwei [2 ]
机构
[1] Hong Kong Polytech Univ, Res Inst Smart Energy, Dept Elect Engn, Hong Kong, Peoples R China
[2] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
基金
中国国家自然科学基金;
关键词
Voltage control; Renewable energy sources; Steady-state; Impedance; Voltage fluctuations; Load modeling; Generators; Electric springs; line impedance; low-voltage distribution networks; smart load; SYSTEM;
D O I
10.1109/TPEL.2022.3216845
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Electric springs (ES) have been reported as a distributed means to address the voltage instability issues at the point of common coupling (PCC) in low-voltage distribution networks (LVDN). In the reported research works on the control methods of the ES, it is generally assumed that the grid networks are predominately inductive. This assumption is fundamentally flawed as the line impedances are significantly resistive in LVDN, which leads to deteriorated voltage regulation effects. To address this, a novel gamma control method is proposed to enhance the voltage regulation performances of the ES in LVDN. A comprehensive steady-state model of the ES-based smart load considering different Thevenin's equivalent line impedances is developed in this article. Equivalent regulation points and optimal operating regions of this smart load are derived analytically. The proposed control embeds a smart load model and enables adaptive control boundaries of the ES, which can avoid the suboptimal or positive-feedback operations in the PCC voltage regulation. Besides, a hysteresis proportional integral (PI) controller is designed to mitigate the voltage flickers. Experimental and simulation results have been provided to verify the effectiveness of the proposed gamma control.
引用
收藏
页码:3739 / 3751
页数:13
相关论文
共 27 条
[1]  
[Anonymous], 2007, IEEE STD 16093 2007, P1, DOI [DOI 10.1109/IEEESTD.2007.4338161, 10.1109/IEEESTD.2007.4338161]
[2]   Deadline Differentiated Pricing of Deferrable Electric Loads [J].
Bitar, Eilyan ;
Xu, Yunjian .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (01) :13-25
[3]  
Ciobotaru M., 2011, 14 EUR C POW EL APPL, P1
[4]   Distributed Control of Low-Voltage Resistive AC Microgrids [J].
Golsorkhi, Mohammad Sadegh ;
Shafiee, Qobad ;
Lu, Dylan Dah-Chuan ;
Guerrero, Josep M. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2019, 34 (02) :573-584
[5]   An Automated Impedance Estimation Method in Low-Voltage Distribution Network for Coordinated Voltage Regulation [J].
Han, Sekyung ;
Kodaira, Daisuke ;
Han, Soohee ;
Kwon, Bokyu ;
Hasegawa, Yasuo ;
Aki, Hirohisa .
IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (02) :1012-1020
[6]   Coordinative Low-Voltage-Ride-Through Control for the Wind-Photovoltaic Hybrid Generation System [J].
He, Yufei ;
Wang, Minghao ;
Xu, Zhao .
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2020, 8 (02) :1503-1514
[7]  
He YF, 2019, APPL POWER ELECT CO, P534, DOI 10.1109/APEC.2019.8722149
[8]  
He YF, 2017, PROCEEDINGS OF 2017 CHINA INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC 2017), P129, DOI 10.1109/CIEEC.2017.8388433
[9]   Risk-Based Power System Security Analysis Considering Cascading Outages [J].
Jia, Youwei ;
Xu, Zhao ;
Lai, Loi Lei ;
Wong, Kit Po .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 12 (02) :872-882
[10]   N-k Induced Cascading Contingency Screening [J].
Jia, Youwei ;
Meng, Ke ;
Xu, Zhao .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (05) :2824-2825