Abstract
This paper reviews the various control crowbar methods associated with doubly-fed induction generator (DFIG) wind energy system (WES) during power system faults. The crowbar control methods are designed to improve the fault ride-through (FRT) capability of DFIGs based on WESs. The adaptive neural-fuzzy inference system (ANFIS) is developed to detect the fault conditions and control the crowbar protection techniques. The proposed ANFIS crowbar protection technique detects the fault based on the measurement of the three phase voltages and currents at the terminals of the DFIG wind turbine (WT) to activate the crowbar protection system during fault period and deactivate it after fault clearance. Furthermore, the proposed ANFIS crowbar techniques are investigated to enhance the stability of studied WT generators and also, it designed to protect system components. All these simulations are carried for the model consists of 9 MW DFIG WTs connected to the grid model in Simulink/Matlab. Simulation results also revealed that outer terminal crowbar is more effective as compare with other crowbar techniques via ANFIS control strategy.
Highlights
Wind energy technology has grown significantly in the Received: 13 June 2021/ Accepted: 30 June 2021 rresponding AuthorThe low voltage ride-through (LVRT) capability enhancement of wind turbine (WT) generator system during network disturbance is designed in [3]
The simulated short circuit occurrence is a three line to ground fault is applied at a point common coupling (PCC) as the terminal of studied WTs, where the fault period occurs for 150 ms from the instant of 1.5 s to the instant of 1.65 s from the simulation time
The control crowbar technique is necessary to avoid a disconnecting of doubly-fed induction generator (DFIG)-WTs during grid faults
Summary
Wind energy technology has grown significantly in the Received: 13 June 2021/ Accepted: 30 June 2021 rresponding Author. [14,15,16] mentioned that both DC-brake chopper and crowbar are necessary for FRT capability to protect the DFIG components from over-current and over-voltage. The different protection techniques are turned on/off via control strategy called ANFIS. The objective of this paper is to compare the different crowbar protection techniques by using ANFIS for studied system. The simulation study is carried out for different crowbar strategies to improve the fault ride-through capability of DFIGs based on wind energy conversion systems. A detailed comparison of simulation results is provided, where all techniques are designed based on proposed ANFIS approach to validate the robustness of proposed techniques during fault occurrence.
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