Distributed Virtual Inertia Based Control of Multiple Photovoltaic Systems in Autonomous Microgrid

Won-Sang Im; Cheng Wang; Wenxin Liu; Liming Liu; Jang-Mok Kim

doi:10.1109/JAS.2016.7510031

Volume 4 Issue 3

Jul. 2017

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2017 > 4(3): 512-519

Won-Sang Im, Cheng Wang, Wenxin Liu, Liming Liu and Jang-Mok Kim, "Distributed Virtual Inertia Based Control of Multiple Photovoltaic Systems in Autonomous Microgrid," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 512-519, July 2017. doi: 10.1109/JAS.2016.7510031

Citation:

Won-Sang Im, Cheng Wang, Wenxin Liu, Liming Liu and Jang-Mok Kim, "Distributed Virtual Inertia Based Control of Multiple Photovoltaic Systems in Autonomous Microgrid," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 512-519, July 2017. doi: 10.1109/JAS.2016.7510031

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Distributed Virtual Inertia Based Control of Multiple Photovoltaic Systems in Autonomous Microgrid

doi: 10.1109/JAS.2016.7510031

Won-Sang Im^{1, 2
,
,},
Cheng Wang^{1, 2
,},
Wenxin Liu^1
,,
Liming Liu^{1, 2
,},
Jang-Mok Kim^2
,

1.
ABB Inc., Raleigh NC 27606, USA
2.
Pusan National University, Busan 46241, Korea

More Information

Author Bio:
Won-Sang Im received the B.S., M.S. and Ph.D. degrees in electrical computer engineering from Pusan National University, Busan, in 2007, 2009, and 2013, respectively. He is currently a postdoctoral researcher at Lehigh University, Bethlehem, PA, USA. His research interests include electric machine drives, power conversion system, microgrid, their diagnosis and tolerance controls. (e-mail: won42@pusan.ac.kr)

Cheng Wang received the B.S. degree in electrical engineering from Southwest Jiaotong University, China in 2011, and is currently working toward the Ph.D. degree in electrical engineering at the School of Electrical and Electronics Engineering, Huazhong University of Science and Technology at Wuhan, China. He is also a research assistant with the Department of Electrical and Computer Engineering, Lehigh University at PA, USA. His research interests include high penetrative grid-interactive photovoltaic system, microgrid, modular multilevel converters, paralleled uninterrupted power supplies and flexible AC transmission system. (e-mail: chwang925@gmail.com)

Wenxin Liu received the B.S. degree in industrial automation, and the M.S. degree in control theory and applications from Northeastern University, Shenyang, China, in 1996 and 2000, respectively, and the Ph.D. degree in electrical engineering from the Missouri University of Science and Technology (formerly University of Missouri CRolla), Rolla, MO, USA, in 2005. Then, he worked as an assistant scholar scientist with the Center for Advanced Power Systems, Florida State University, Tallahassee, FL, USA, till 2009. From 2009 to 2014, he was an assistant professor with the Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM, USA. Currently, he is an assistant professor with the Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA. His research interests include power systems, power electronics, and controls. (e-mail: wliu@lehigh.edu)

Liming Liu received the B.S. and M.S. degrees in electrical engineering from Wuhan University, China, in 1998 and 2003, respectively, and the Ph.D. degree in electrical engineering from Huazhong University of Science and Technology, China, in 2006. He joined the Center for Advanced Power Systems, Florida State University, Tallahassee, FL, USA, in 2007 as a postdoctoral researcher, where he was an assistant scientist from 2008 to 2013. He is currently a senior scientist at ABB Inc., Raleigh, NC, USA. His research interests generally include medium/high voltage DC voltage converter, modeling and control of multilevel inverter applications, renewable energy conversion systems, high penetrative grid-interactive photovoltaic system, smart grid, motor drive control with hybrid energy storages, and flexible AC transmission system. (e-mail: liming.liu@us.abb.com)

Jang-Mok Kim received the B.S. degree from Pusan National University (PNU), Busan, Korea, in 1988; and the M.S. and Ph.D. degrees from the Department of Electrical Engineering, Seoul National University (SNU), Seoul, Korea, in 1991 and 1996, respectively. From 1997 to 2000, he was a senior research engineer with the Korea Electrical Power Research Institute (KEPRI), Daejeon, Korea. Since 2001, he has been with the School of Electrical Engineering, PNU, where he is presently a Research Member in the Research Institute of Computer Information and Communication, a Faculty Member, and a head of the LG Electronics Smart Control Center. As a visiting scholar, he joined the Center for Advanced Power Systems (CAPS), Florida State University, Tallahassee, Florida, in 2007. His current research interests include the control of electric machines, electric vehicle propulsion, and power quality. (e-mail: jmok@pusan.ac.kr
Corresponding author: WonSang Im, e-mail:won42@pusan.ac.kr
Received Date: 2015-10-12
Accepted Date: 2016-05-25

Abstract

Abstract

The large inertia of a traditional power system slows down system's frequency response but also allows decent time for controlling the system. Since an autonomous renewable microgrid usually has much smaller inertia, the control system must be very fast and accurate to fight against the small inertia and uncertainties. To reduce the demanding requirements on control, this paper proposes to increase the inertia of photovoltaic (PV) system through inertia emulation. The inertia emulation is realized by controlling the charging/discharging of the direct current (DC)-link capacitor over a certain range and adjusting the PV generation when it is feasible and/or necessary. By well designing the inertia, the DC-link capacitor parameters and the control range, the negative impact of inertia emulation on energy efficiency can be reduced. The proposed algorithm can be integrated with distributed generation setting algorithms to improve dynamic performance and lower implementation requirements. Simulation studies demonstrate the effectiveness of the proposed solution.
- Inertia emulation,
- microgrid,
- photovoltaic system,
- renewable energy,
- voltage source converter

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Distributed Virtual Inertia Based Control of Multiple Photovoltaic Systems in Autonomous Microgrid

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