Neuro Fuzzy Logic Controlled Parallel Resonance Type Fault Current Limiter to Improve the Fault Ride Through Capability of DFIG Based Wind Farm

Md Rashidul Islam,Jakir Hasan,Mohammad Ashraf Hossain Sadi,Md Rezaur Rahman Shipon,Tushar Kanti Roy,Ahmed Abuhussein

doi:10.1109/access.2020.3000462

Abstract

Doubly fed induction generators (DFIGs) are vulnerable to grid related electrical faults. Standards require DFIGs to be disconnected from the grid unless augmented with a fault ride through (FRT) capability. A fault current limiter (FCL) can enhance the overall stability of wind farms and allow them to maintain grid-code requirements. In this paper, a neuro fuzzy logic controlled parallel resonance type fault current limiter (NFLC-PRFCL) is proposed to enhance the FRT capability of the DFIG based wind farm. Theoretical and graphical analysis of the proposed method are carried out by MATLAB/Simulink software. The performance of the NFLC-PRFCL is compared with other documented FCL devices, e.g., the bridge type fault current limiter (BFCL) and the series dynamic braking resistor (SDBR). The performance of the NFLC-PRFCL is also compared with that of the existing fuzzy logic controlled parallel resonance fault current limiter (FLC-PRFCL). From the simulation results, it is found that the NFLC-PRFCL outperforms its competitors and enables the DFIG to maintain a near-seamless performance during various fault events.

Highlights

Due to the depletion of traditional fossil fuels and global rising of environmental issues, the use of alternative renewable energy sources (RESs) such as solar photovoltaic (PV) units, wind power generators, geothermal power, hydro power, fuel cells, etc. are getting more attention to meet the increasing power demand
SIMULATION RESULTS AND DISCUSSIONS the performance of the neuro fuzzy logic controller (NFLC)-parallel resonance fault current limiter (PRFCL) is evaluated on the system as shown in Fig. 4, which is implemented in the MATLAB/Simulink environment using the Simpower ToolBox
In order to demonstrate the superiority of the proposed method, its performance is compared with that of the series dynamic braking resistor (SDBR) [32], [33], bridge type fault current limiter (BFCL) [34], [44] and fuzzy logic controller (FLC)-PRFCL [39]

Summary

Introduction

Due to the depletion of traditional fossil fuels and global rising of environmental issues, the use of alternative renewable energy sources (RESs) such as solar photovoltaic (PV) units, wind power generators, geothermal power, hydro power, fuel cells, etc. are getting more attention to meet the increasing power demand. Are getting more attention to meet the increasing power demand. Due to the depletion of traditional fossil fuels and global rising of environmental issues, the use of alternative renewable energy sources (RESs) such as solar photovoltaic (PV) units, wind power generators, geothermal power, hydro power, fuel cells, etc. Among these RESs, the solar PV units and wind power generators are the most promising alternative energy sources due to their unique properties [1], [2]. The doubly fed induction generator (DFIG) based wind farm has got more attention owing to the properties. Fault ride through (FRT) capability of a grid-connected DFIG based wind farm is required in order to maintain the grid codes which are referred by power system operators all around the world [4], [5]

Methods

Results

Discussion

Conclusion