Coordinated Control of Electric Vehicles and Renewable Energy Sources for Frequency Regulation in Microgrids

被引:35
作者
Jampeethong, Phoompat [1 ]
Khomfoi, Surin [1 ]
机构
[1] King Mongkuts Inst Technol Ladkrabang, Fac Engn, Bangkok 10520, Thailand
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Coordinated control; electric vehicle; frequency control; microgrid; renewable energy; CONTROL STRATEGY; POWER-SYSTEMS; LOAD; DEMAND;
D O I
10.1109/ACCESS.2020.3010276
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A Control technique of electric vehicles (EVs) cooperating with ac microgrids is considered as an important role with integration of renewable energy sources (RES), i.e. wind and solar farms. As known, the intermittent power generations of these RESs can provide significant changes of the frequency in microgrids. Consequently, outputs of these generations are regarded as continuous disturbances. Previously, the ability to permit frequency stabilizing effect was usually neglected in microgrid design; thereupon, the performance of controller may be ineffective to regulate the frequency in such a microgrid. To address this problem, a new coordination of EV, wind farm (WF), and photovoltaic (PV) for microgrid frequency regulation is proposed in this article. In the control design, the proposed adaptive PI controller is developed by using practical proportional integral (PI) controllers. An effect of a small delay is also considered in input-output pairs of the adaptive PI controllers. Simulation model is developed for validating the proposed controller. Simulation results demonstrate that the proposed coordinated control technique of EVs, WF, and PV power generation provides a better frequency regulation performance than a fixed PI controller under various uncertainties such as wind and solar power fluctuations, N-1 outages, disconnection of RESs, load variations, and the number of EVs.
引用
收藏
页码:141967 / 141976
页数:10
相关论文
共 31 条
[1]   A New Frequency Control Strategy in an Islanded Microgrid Using Virtual Inertia Control-Based Coefficient Diagram Method [J].
Ali, Hossam ;
Magdy, Gaber ;
Li, Binbin ;
Shabib, G. ;
Elbaset, Adel A. ;
Xu, Dianguo ;
Mitani, Yasunori .
IEEE ACCESS, 2019, 7 :16979-16990
[2]  
Anderson P. M., 2008, POWER SYSTEM CONTROL
[3]  
Coleman T., 1999, USE MATLAB USERS GUI, V5
[4]   A new approach to quantify reserve demand in systems with significant installed wind capacity [J].
Doherty, R ;
O'Malley, M .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) :587-595
[5]   Robust Frequency Control of Microgrids Using an Extended Virtual Synchronous Generator [J].
Fathi, Abdolwahhab ;
Shafiee, Qobad ;
Bevrani, Hassan .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (06) :6289-6297
[6]  
Frederick D. K., 1999, FEEDBACK CONTROL PRO
[7]  
Jie B., 2017, J ENG-NY, V2017, P1824, DOI DOI 10.1049/JOE.2017.0646
[8]   Load-frequency control by hybrid evolutionary fuzzy PI controller [J].
Juang, CF ;
Lu, CF .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2006, 153 (02) :196-204
[9]   Enhanced Virtual Inertia Control Based on Derivative Technique to Emulate Simultaneous Inertia and Damping Properties for Microgrid Frequency Regulation [J].
Kerdphol, Thongchart ;
Rahma, Fathin Saifur ;
Watanabe, Masayuki ;
Mitani, Yasunori ;
Turschner, Dirk ;
Beck, Hans-Peter .
IEEE ACCESS, 2019, 7 :14422-14433
[10]   RETRACTED: Robust Virtual Inertia Control of an Islanded Microgrid Considering High Penetration of Renewable Energy (Retracted article. See vol. 12, pg. 874, 2018) [J].
Kerdphol, Thongchart ;
Rahman, Fathin Saifur ;
Mitani, Yasunori ;
Watanabe, Masayuki ;
Kufeoglu, Sinan .
IEEE ACCESS, 2018, 6 :625-636