AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL
Purpose. Electricity is a basic energy for life and its consumption increased so we need the discovery of new sources of energy such as wind energy .for this ameliorate the quality of generated wind energy by using the intelligent artificial control, this control is made to optimize the performance...
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National Technical University "Kharkiv Polytechnic Institute"
2020
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oai:doaj.org-article:b2c11764143c4e05a27402ae508417b22021-12-02T15:07:29ZAMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL10.20998/2074-272X.2020.6.092074-272X2309-3404https://doaj.org/article/b2c11764143c4e05a27402ae508417b22020-12-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/2074-272X.2020.6.09/218690https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Purpose. Electricity is a basic energy for life and its consumption increased so we need the discovery of new sources of energy such as wind energy .for this ameliorate the quality of generated wind energy by using the intelligent artificial control, this control is made to optimize the performance of three-phase PWM rectifier working. Methodology. These strategies are based on the direct control of the instantaneous power, namely: the control direct power control (DPC) with classic PI regulator and direct power control with fuzzy logic regulator. The fuzzy characterized by its ability to deal with the imprecise, the uncertain has been exploited to construct a fuzzy voltage regulator. The simulation of these methods was implemented using Matlab/Simulink. Results. A comparison with the results obtained by the classic PI showed the improvement in dynamic performance. This makes the fuzzy controller an acceptable choice for systems requiring quick, precise adjustments and less sensitive to outside disturbances. Originality. The proposed this control strategy using for to obtain a performance adjustment of the DC bus voltage and sinusoidal currents on the network side. Practical value. Fuzzy logic is proven to be effective in terms of reducing the harmonic distortion rate of the currents absorbed, correct adjustment of the active and reactive power and DC voltage and unit power factor operation.R. LebiedR. LalalouH. BenallaK. NebtiI. BoukhechemNational Technical University "Kharkiv Polytechnic Institute"articledirect power controlfuzzy logic controlpermanent magnet synchronous generator (pmsg)pwm techniquewind energy systemElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 6, Pp 63-70 (2020) |
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DOAJ |
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EN RU UK |
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direct power control fuzzy logic control permanent magnet synchronous generator (pmsg) pwm technique wind energy system Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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direct power control fuzzy logic control permanent magnet synchronous generator (pmsg) pwm technique wind energy system Electrical engineering. Electronics. Nuclear engineering TK1-9971 R. Lebied R. Lalalou H. Benalla K. Nebti I. Boukhechem AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL |
description |
Purpose. Electricity is a basic energy for life and its consumption increased so we need the discovery of new sources of energy such as wind energy .for this ameliorate the quality of generated wind energy by using the intelligent artificial control, this control is made to optimize the performance of three-phase PWM rectifier working. Methodology. These strategies are based on the direct control of the instantaneous power, namely: the control direct power control (DPC) with classic PI regulator and direct power control with fuzzy logic regulator. The fuzzy characterized by its ability to deal with the imprecise, the uncertain has been exploited to construct a fuzzy voltage regulator. The simulation of these methods was implemented using Matlab/Simulink. Results. A comparison with the results obtained by the classic PI showed the improvement in dynamic performance. This makes the fuzzy controller an acceptable choice for systems requiring quick, precise adjustments and less sensitive to outside disturbances. Originality. The proposed this control strategy using for to obtain a performance adjustment of the DC bus voltage and sinusoidal currents on the network side. Practical value. Fuzzy logic is proven to be effective in terms of reducing the harmonic distortion rate of the currents absorbed, correct adjustment of the active and reactive power and DC voltage and unit power factor operation. |
format |
article |
author |
R. Lebied R. Lalalou H. Benalla K. Nebti I. Boukhechem |
author_facet |
R. Lebied R. Lalalou H. Benalla K. Nebti I. Boukhechem |
author_sort |
R. Lebied |
title |
AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL |
title_short |
AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL |
title_full |
AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL |
title_fullStr |
AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL |
title_full_unstemmed |
AMELIORATE DIRECT POWER CONTROL OF STANDALONE WIND ENERGY GENERATION SYSTEM BASED ON PERMANENT MAGNET SYNCHRONOUS GENERATOR BY USING FUZZY LOGIC CONTROL |
title_sort |
ameliorate direct power control of standalone wind energy generation system based on permanent magnet synchronous generator by using fuzzy logic control |
publisher |
National Technical University "Kharkiv Polytechnic Institute" |
publishDate |
2020 |
url |
https://doaj.org/article/b2c11764143c4e05a27402ae508417b2 |
work_keys_str_mv |
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1718388473922060288 |