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.

Highlights

  • For several decades, the utilization of renewable energy resources (RESs), such as wind, solar, and biomass energy, instead of fossil fuel resources has received more attention worldwide due to the increasing awareness regarding issues concerning global warming

  • To examine the performance of the proposed battery energy storage system (BESS) controller in this study, two different scenarios were simulated, and each scenario was divided into three comparison cases as follows: Case I: the microgrid without a BESS, Case II: the microgrid with a BESS fuzzy logic controller, and Case III: the microgrid with a BESS robust controller

  • This study addresses the enhanced performance of an islanded Mae Sariang microgrid utilizing a battery energy storage system (BESS) with a fuzzy logic controller

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Summary

Introduction

The utilization of renewable energy resources (RESs), such as wind, solar, and biomass energy, instead of fossil fuel resources has received more attention worldwide due to the increasing awareness regarding issues concerning global warming. This phenomenon is a challenge for energy management in the microgrid To solve this problem, many researchers have shown interest in studying the installation of ESS in the microgrid to provide the voltage and frequency stability and to maintain the balance of the active and reactive powers. The ESS controller can quickly respond to deliver the active and reactive powers and reduce the frequency and voltage fluctuations of the system This approach is popular to use for a single-input, single-output (SISO) system since an SISO system can be easy analyzed by a mathematical model [11,12]. The fuzzy logic control and robust control methods are applied for the active and reactive power controls of the BESS in the microgrid during contingencies, to stabilize the frequency and voltage dynamic responses. The simulation results are implemented on the DIgSILENT PowerFactory software

The Perspective of Microgrid
The Control Method of BESS
Simulation Results
Conclusions

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