2017
DOI: 10.5370/jeet.2017.12.1.207
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Power Quality Improvement Using Hybrid Passive Filter Configuration for Wind Energy Systems

Abstract: -Wind energy conversion systems (WECS) which consist of wind turbines with permanent magnet synchronous generator (PMSG) and full-power converters have become widespread in the field of renewable power systems. Generally, conventional diode bridge rectifiers have used to obtain a constant DC bus voltage from output of PMSG based wind generator. In recent years, together advanced power electronics technology, Pulse Width Modulation (PWM) rectifiers have used in WECS. PWM rectifiers are used in many applications… Show more

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Cited by 37 publications
(29 citation statements)
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“…Based on results, the hybrid controlling method had the best performance in both terms. In order to limit the current and voltage harmonics, and to improve total harmonic distortion and true power factor in Fatih Kececioglu, (2017) [66], a neuro-fuzzy controller is applied in a hybrid Figure 11. Results for the study by Li et al (2005) [65].…”
Section: Advanced Anfis/neuro-fuzzy: Hybridsmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on results, the hybrid controlling method had the best performance in both terms. In order to limit the current and voltage harmonics, and to improve total harmonic distortion and true power factor in Fatih Kececioglu, (2017) [66], a neuro-fuzzy controller is applied in a hybrid Figure 11. Results for the study by Li et al (2005) [65].…”
Section: Advanced Anfis/neuro-fuzzy: Hybridsmentioning
confidence: 99%
“…In order to limit the current and voltage harmonics, and to improve total harmonic distortion and true power factor in Fatih Kececioglu, (2017) [66], a neuro-fuzzy controller is applied in a hybrid passive filter for PWM rectifiers. Gnanaprakasam (2015) [67] proposed a hybrid approach for the detection and classification of the vibration signal of an induction motor in which the fault detection process including the extraction of significant features of vibration signals is carried out by using the S-transformation algorithm.…”
Section: Advanced Anfis/neuro-fuzzy: Hybridsmentioning
confidence: 99%
“…To eliminate these drawbacks, reactive power should be compensated. With balancing inductive and capacitive loads on the energy system and the necessary and built systems to return reactive power back to the source or the process of meeting the required reactive power of the load using certain techniques is named as reactive power compensation [12,13].…”
Section: Reactive Power Compensationmentioning
confidence: 99%
“…This is necessary because there are active filter losses. In order to control DC link voltage, several works have addressed DC bus controllers, such as passivity‐based control (PBC), proportional (P) controller, PI controller, interval type 2 fuzzy logic controller, and neuro‐fuzzy controller (NFC) . The methodology of the P and PI controllers demands a precise linear mathematical model, which is hard to have available, and it also cannot perform satisfactorily or provide a good response under parameter variations, nonlinearity, or load disturbances, and in fact, the transient response is slow, especially for fast‐changing loads.…”
Section: Introductionmentioning
confidence: 99%
“…The methodology of the P and PI controllers demands a precise linear mathematical model, which is hard to have available, and it also cannot perform satisfactorily or provide a good response under parameter variations, nonlinearity, or load disturbances, and in fact, the transient response is slow, especially for fast‐changing loads. In this work, our objective is to design a model based on a new Lyapunov function for DC voltage control, which allows a very good dynamic with and without variations in loads, unlike the control used in previous works . Furthermore, the fuzzy logic controller has certain drawbacks, such as iteration and redundancy problems, and for the controller based on NFC, in the case of changes in the DC voltage reference, the DC voltage response follows its reference slowly .…”
Section: Introductionmentioning
confidence: 99%