Fuzzy Logic Control of a Battery Energy Storage System for Stability Improvement in an Islanded Microgrid

Naowarat Tephiruk, Weerawoot Kanokbannakorn, Thongchart Kerdphol, Yasunori Mitani and Komsan Hongesombut
Additional contact information
Naowarat Tephiruk: Department of Electrical Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
Weerawoot Kanokbannakorn: Department of Electrical Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
Thongchart Kerdphol: Department of Electrical and Electronic Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka 804-8550, Japan
Yasunori Mitani: Department of Electrical and Electronic Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka 804-8550, Japan
Komsan Hongesombut: Department of Electrical Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand

Sustainability, 2018, vol. 10, issue 5, 1-16

Abstract: In this study, the active and reactive power control of a battery energy storage system (BESS) using fuzzy logic control to maintain the voltage and frequency stability of the islanded Mae Sariang microgrid is presented. The main scope of the presented study is to cogitate the effectiveness of the BESS controller in view of fluctuations of frequency/voltage subjected to a disturbance occurring in the islanded microgrid. In the Mae Sariang microgrid system, the electricity is produced from two renewable energy resources (RESs), i.e., hydro and solar PV. The use of these clean energy sources has become a main problem, envisaging the output power uncertainties from RESs. Further, such power uncertainty raises power quality problems and leads to power failure. To overcome such problems, the proposed fuzzy logic control (FLC) approach is applied for the BESS controller to improve the stability of the islanded Mae Sariang microgrid. The proposed FLC is intended to provide the BESS with well-established attributes of dynamical response to disturbance, which is analyzed by a predictive model. The proposed FLC has been investigated and compared with the robust control method, which is analyzed by a mathematical model using the system identification technique. The modeling of the microgrid system with BESS is implemented and verified on the DIgSILENT PowerFactory software. The simulation result illustrates that both of the control approaches allow the dynamic stability of the microgrid and the maintenance of frequency and voltage within acceptable ranges. However, the proposed BESS fuzzy logic control is less prone to uncertainty than the BESS robust control. Furthermore, in the proposed BESS fuzzy logic control, the microgrid frequency and voltage rapidly return to their normal steady-state condition and the size of the BESS is smaller than the BESS robust control.

Keywords: frequency stability; voltage stability; battery energy storage system; microgrid; fuzzy logic control; robust control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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