An efficient ANFIS crowbar protection for DFIG wind turbines during faults

Noureldeen, Omar; Hamdan, I.

doi:10.1109/mepcon.2017.8301192

Cited by 13 publications

(24 citation statements)

References 12 publications

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“…The impacts of transition resistance Rg on the accuracy of the proposed technique in cases of internal and external fault are studied. It is studied in case of a three- A comparison between the proposed protection technique with others protection techniques [30][31][32] is provided as follows: Chen et al [30] have presented superconducting fault current limiter (SFCL) protection system to suppress the fault current of DFIG-Based wind farm. Wang et al [31] have proposed a flexible fault ride through strategy to allow a few wind turbine generators to trip and maintains the connection to grid of most generators during fault.…”

Section: Impacts Of Transition Resistancementioning

confidence: 99%

“…Wang et al [31] have proposed a flexible fault ride through strategy to allow a few wind turbine generators to trip and maintains the connection to grid of most generators during fault. Noureldeen et al [32] have proposed an efficient ANFIS crowbar protection for DFIG wind turbines to protect wind turbine generator components during grid fault. The objective of the proposed technique focuses on avoiding trip events of all wind farm during faults and proposes a robust intelligent protection technique for wind farm based on ANFIS approach to trip only the faulted wind turbine.…”

Section: Impacts Of Transition Resistancementioning

confidence: 99%

“…In the literature, the protection technique for large-scale wind farm attracts the interest of researchers, where the most worrynty problem of wind farm generators is the cascading trip events caused by occurrence of different faults, which may propagate and cause isolation of all wind turbine generators over very large area [27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

“…This research focuses on avoiding trip events of all wind turbine generators during faults and proposes a robust intelligent protection technique based on artificial intelligence to trip only the faulted zone of wind farm. The applications of artificial intelligence in protection and control of power system are widely used [32][33][34][35]. The ANFIS architecture is an artificial intelligence approach that combines of a neural network system with a fuzzy logic system to achieve best performance and give suitable solutions for the studied problem [36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

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Design of robust intelligent protection technique for large-scale grid-connected wind farm

Noureldeen

Hamdan

2018

Prot Control Mod Power Syst

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This paper presents a design of robust intelligent protection technique using adaptive neuro-fuzzy inference system (ANFIS) approach to detect and classify the fault types during various faults occurrence in large-scale grid-connected wind farm. Also, it is designed to determine the fault location and isolate the wind turbine generators located in the faulted zone during fault occurrence and reconnect them after fault clearance. The studied wind farm has a total rating capacity of 120 MW, where it consists of 60 doubly fed induction generator (DFIG) wind turbines each has a capacity of 2 MW. Moreover, the wind farm generators are positioned in 6 rows, where each row consists of 10 generators. The impacts of fault type, fault location, fault duration, cascaded faults, permanent fault and external grid fault on the behaviours of the generated active and reactive power are investigated. Also, the impacts of internal and external faults in cases of different transition resistances are investigated. The simulation results indicate that, the proposed ANFIS protection technique has the ability to detect, classify and determine the fault location, then isolate the faulted zones during fault occurrence and reconnect them after fault clearance. Furthermore, the wind turbines generators which are located in un-faulted zones can stay to deliver their generated active power to the grid during fault period.

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Section: Impacts Of Transition Resistancementioning

confidence: 99%

Section: Impacts Of Transition Resistancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of robust intelligent protection technique for large-scale grid-connected wind farm

Noureldeen

Hamdan

2018

Prot Control Mod Power Syst

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“…The sudden change of stator windings voltage during faults may cause over current and over voltage in rotor windings due to magnetic coupling [5]. To avoid the damage of DFIG power electronic components, extra protection techniques must be established [6][7][8][9][10]. Currently, the grid code requires that the wind farm must remain connected to electrical grid for a specified duration time during faults, which is so-called LVRT grid code curve of wind turbines [11].…”

Section: Introductionmentioning

confidence: 99%

Design of advanced artificial intelligence protection technique based on low voltage ride-through grid code for large-scale wind farm generators: a case study in Egypt

2019

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This paper proposes an advanced artificial intelligence protection technique based on low voltage ride-through (LVRT) for a large-scale doubly fed induction generator (DFIG) wind farm. The proposed protection technique consists of two dependant approaches. The first approach is fault detector algorithm that using adaptive neuro fuzzy inference system as an artificial intelligence technique to detect the fault occurrence and its location. The second approach is implementation of Egyptian LVRT grid code to discriminate between tripping or not tripping decision for faulted wind turbine generators based on fault conditions such as its duration and voltage level. The proposed protection technique is applied on a simulation model of 200 MW Gabal El-Zayt wind farm, which located in Red Sea region and connected to Egyptian electrical grid. The studied wind farm consists of 100 DFIG wind turbines, and each generator has a capacity of 2 MW. The simulation model of studied wind farm is implemented by using MATLAB/SIMULINK toolboxes to demonstrate the performance of proposed protection technique. The impacts of fault duration, fault type, internal and external fault locations on the behaviour of studied wind farm equipped with the proposed protection technique are investigated. Also, the impacts of grid voltage sag and different ground transition resistances on the performance of proposed protection technique are investigated. The simulation results show that, the proposed protection technique can detect and isolate the faulted area according to Egyptian LVRT grid code requirements for enhancement the stability of studied wind farm.

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Soft Computing Techniques-Based Low Voltage Ride Through Control of Doubly Fed Induction Wind Generator

Maheswari

Indumathi

Parvathy

2020

Intelligent Paradigms for Smart Grid and Renewable Energy Systems

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An efficient ANFIS crowbar protection for DFIG wind turbines during faults

Cited by 13 publications

References 12 publications

Design of robust intelligent protection technique for large-scale grid-connected wind farm

Design of robust intelligent protection technique for large-scale grid-connected wind farm

Design of advanced artificial intelligence protection technique based on low voltage ride-through grid code for large-scale wind farm generators: a case study in Egypt

Soft Computing Techniques-Based Low Voltage Ride Through Control of Doubly Fed Induction Wind Generator

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