Fuzzy Logic Controller-based Synchronverter in Grid-connected Solar Power System with Adaptive Damping Factor*

doi:10.23919/CJEE.2021.000014

中国电气工程学报（英文） ›› 2021, Vol. 7 ›› Issue (2): 37-49.doi: 10.23919/CJEE.2021.000014

收稿日期:2020-04-30 修回日期:2020-05-05 接受日期:2020-05-11 出版日期:2021-06-25 发布日期:2021-07-08

Fuzzy Logic Controller-based Synchronverter in Grid-connected Solar Power System with Adaptive Damping Factor^*

Kah Yung Yap, Chee Ming Beh, Charles R. Sarimuthu^*

Department of Electrical and Computer Systems Engineering (ECSE), School of Engineering, Monash University Malaysia, Subang Jaya 47500, Malaysia

Received:2020-04-30 Revised:2020-05-05 Accepted:2020-05-11 Online:2021-06-25 Published:2021-07-08
Contact: * E-mail: charles.raymond.sarimuthu@monash.edu
About author:Kah Yung Yap received the B. E. degree (Hons.) in electrical and electronic engineering from UCSI University, Malaysia. He is currently pursuing the Ph.D. degree in electrical and computer systems engineering (ECSE) with Monash University, Malaysia under Graduate Research Merit Full Scholarship. He is a graduate engineer of the Board of Engineers Malaysia (BEM) and a graduate member of the Institution of Engineers Malaysia (IEM). He is also a graduate student member of The Institute of Electrical and Electronics Engineers (IEEE), a society member in IEEE Power & Energy Society (PES) and a member of The Institution of Engineering and Technology (MIET). His current research interests include adaptive synchronverters, grid-connected solar power systems, and power quality improvement. He was awarded the 2017 IEM Gold Award Medal for the Best Engineering Student.
Chee Ming Beh currently is a final year Electrical and Computer Systems Engineering (ECSE) student in Monash University, Malaysia. His final year project (FYP) entitled “A new control framework for enhancing grid stability using synchronverters” focuses on the design of fuzzy logic controller for a synchronverter in grid-connected solar power system. His current research interests include grid-connected solar power system, synchronverter and fuzzy logic control framework.
Charles R. Sarimuthu received the B.E. and M.E. degrees in electrical engineering from the University of Malaya, Malaysia, in 2006 and 2010, respectively, and the Ph.D. degree in electrical power engineering from National Energy University, Malaysia, in 2019. He is a member of the Institution of Engineers Malaysia (IEM) and a registered engineer of the Board of Engineers Malaysia (BEM). In 2018, he joined as a Lecturer with the Department of Electrical and Computer Systems Engineering, School of Engineering, Monash University, Malaysia. His research interests include power systems, power quality, renewable energy, and smart grids.
Supported by:
* Supported by the School of Engineering, Monash University Malaysia and Ministry of Higher Education (MoHE), Malaysia (FRGS/1/2019/ TK07/MUSM/03/1).

摘要/Abstract

Abstract: In recent years, renewable energy sources, specifically solar power systems, have developed rapidly owing to their technological maturity and cost effectiveness. However, its grid integration deteriorates frequency stability because of insufficient rotating masses and inertial response. Hence, a synchronverter, which is an inverter that mimics the operation of a synchronous generator, is crucial to interface solar power in a power grid. It stabilizes the power grid by emulating a virtual inertia. However, a conventional proportional-integral (PI)-based synchronverter is not equipped with an adaptive damping factor (D_p) or a digitalized smart controller to manage fast-responding solar inputs. Hence, a novel fuzzy logic controller (FLC) framework is proposed such that the synchronverter can operate in a grid-connected solar power system. In this study, D_p is controlled in real time using an FLC to achieve balance between speed and stability for frequency error correction based on frequency difference. Results of four case studies performed in Matlab/Simulink show that the proposed FLC-based synchronverter can stabilize the grid frequency by reducing the frequency deviation by at least 0.2 Hz (0.4%), as compared with the conventional PI-based synchronverter.

Key words: Fuzzy logic controller (FLC), synchronverter, renewable energy system (RES), grid stability, solar power system

. [J]. 中国电气工程学报（英文）, 2021, 7(2): 37-49.

Kah Yung Yap, Chee Ming Beh, Charles R. Sarimuthu. Fuzzy Logic Controller-based Synchronverter in Grid-connected Solar Power System with Adaptive Damping Factor^*[J]. Chinese Journal of Electrical Engineering, 2021, 7(2): 37-49.

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Fuzzy Logic Controller-based Synchronverter in Grid-connected Solar Power System with Adaptive Damping Factor^*

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