Real-Time Implementation of The Fuzzy Logic Controlled Parallel Protection Technique to Enhance the DFIG System's FRT Capability

Abstract

Fault Ride through (FRT) capability is one of the critical needs mandated as per new grid regulations to accept large wind energy penetration into grid. In this paper, a hybrid approach has been proposed to improve the FRT of the grid-connected Doubly Fed Induction Generator fed wind energy conversion (DFIG-WEC) system using fuzzy approach. The proposed method has been designed by integrating the rotor side series dynamic braking resistor (RSDBR), the DC-link braking chopper (DCBC) and the rotor end parallel resistor crowbar (REPRC) topologies for limiting the peak values of the fault rotor current, stator current, and dc-link voltage, to protect the rotor-side converter, also reduce torque fluctuations, avoid frequent use of crowbar short-circuit, improve rotor-side converter operation time and the FRT capability. This research article also presents various fault overcurrent scenarios (symmetrical and asymmetrical) and provides protection analysis, including switching methods, coordination with different topologies, and resistance value calculations. The effectiveness of the proposed technique is verified using a MATLAB simulation mode for a DFIG system driven by a typical 1.5 MW wind turbine. The real-time simulator (RTS)based OPAL-RT4500 effectively verifies the operation of the scheme under various fault conditions.

Transformer faults identification via fuzzy logic approach

“…In light of the literature reviewed above, all the approaches exhibit different shortcomings ranging from time consumption, errors due to human experts, tedious computational analysis, false alarm notification, and inability to work under uncertainty scenarios. Thus, the idea of ''transformer faults identification via fuzzy logic approach'' came into existence due to its simplicity, ability to provide solutions to uncertainty issues, and less computational analysis compared to traditional methods and other soft-computing techniques [27], [28]. The subsequent sections of this manuscript are scheduled as follows: the proposed methodology is deliberated in section two, section three analyses and discusses the findings of the results, and section four (4) draws a conclusion, with suggestions for future improvement of the method proposed.…”