Resource Type

Journal Article 620

Year

2023 38

2022 47

2021 35

2020 36

2019 41

2018 43

2017 43

2016 36

2015 63

2014 28

2013 38

2012 21

2011 22

2010 25

2009 23

2008 14

2007 15

2006 7

2005 6

2004 6

open ︾

Keywords

maximum power point tracking (MPPT) 11

wind power 10

manufacturing power 8

renewable energy 8

vector control 8

nuclear power plant 7

optimization 6

power quality 6

automobile power 5

sustainable development 5

Artificial intelligence 4

Support vector machine 4

induction motor 4

manufacturing 4

offshore wind power 4

power generation 4

smart grid 4

wind turbine 4

control 3

open ︾

Search scope:

排序： Display mode:

Evaluation of the power consumption of a high-speed parallel robot

Gang HAN, Fugui XIE, Xin-Jun LIU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 167-178 doi: 10.1007/s11465-017-0456-8

Abstract: With this dynamic model, a new evaluation method is proposed to measure the power consumption of theThe power vector is extended in this method and used to represent the collinear velocity and accelerationThese indices can evaluate the power input and output transmissibility of the robot in a workspace.The distributions of the power input and output transmissibility of the high-speed parallel robot areFurtherly, a low-power-consumption workspace is selected for the robot.

Keywords： high-speed parallel robot     dynamic model     power consumption     evaluation method     power vector    

HTML PDF Collect

Tuned reactive power dispatch through modified differential evolution technique

S. BISWAS (RAHA), N. CHAKRABORTY

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 138-147 doi: 10.1007/s11708-012-0188-8

Abstract: explores the capability of modified differential evolution (MDE) technique for solving the reactive power

Keywords： reactive power dispatch (RPD)     modified differential evolution (MDE)     differential evolution algorithmwith localizations around the best vector (DELB)    

HTML PDF Collect

Performance of PI controller for control of active and reactive power in DFIG operating in a grid-connected

Azzouz TAMAARAT,Abdelhamid BENAKCHA

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 371-378 doi: 10.1007/s11708-014-0318-6

Abstract: The objective of this work is to present the modeling and control strategy of a grid connected wind powerIt will introduce the vector control, which makes it possible to control independently the active andreactive power exchanged between the stator of the generator and the grid, based on vector control conceptIt is also interesting to play on the quality of electric power by controlling the reactive power exchangedwith the grid, which will facilitate making a local correction of power factor.

Keywords： wind power     doubly fed induction generator (DFIG)     vector control     active power     reactive power     maximum power    

HTML PDF Collect

Robust control based on the Lyapunov theory of a grid-connected doubly fed induction generator

Ridha CHEIKH, Arezki MENACER, Said DRID

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 191-196 doi: 10.1007/s11708-013-0245-y

Abstract: discusses the robust control of a grid-connected doubly-fed induction generator (DFIG) controlled by vectorto ameliorate the performances of the control and to govern the developed stator active and reactive poweroptimal operation of the DFIG in sub-synchronous operation is given, as well as the control stator powerflow with the possibility of keeping stator power factor at a unity.

Keywords： doubly fed induction generator (DFIG)     vector control     Lyapunov function     power factor unity     active power     reactive power    

HTML PDF Collect

An artificial intelligence based method for evaluating power grid node importance using network embeddingand support vector regression Research Papers

Hui-fang WANG, Chen-yu ZHANG, Dong-yang LIN, Ben-teng HE

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 816-828 doi: 10.1631/FITEE.1800146

Abstract:

The identification of important nodes in a power grid has considerable benefits for safety.Power networks vary in many aspects, such as scale and structure.To solve this problem, an artificial intelligence based method is proposed for evaluating power gridFirst, using a network embedding approach, a feature extraction method is designed for power grid nodesFinally, a support vector regression model is trained based on the optimized sample set for the later

Keywords： Power grid     Artificial intelligence     Node importance     Text-associated DeepWalk     Network embedding     Supportvector regression    

HTML PDF Collect

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 49-55 doi: 10.1007/s11708-012-0217-7

Abstract: This paper discusses the power outputs control of a grid-connected doubly-fed induction generator (DFIG) for a wind power generation systems.The DFIG structure control has a six diode rectifier and a PWM IGBT converter in order to control the powerSo, to supply commercially the electrical power to the grid without any problems related to power qualityflow with the possibility of keeping stator power factor at a unity.

Keywords： doubly-fed induction generator (DFIG)     vector control     fuzzy logic controller     optimization     power factorunity     active and reactive power    

HTML PDF Collect

Fault tolerant control strategy for modular PWM current source inverter

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 228-238 doi: 10.1007/s11708-022-0852-6

Abstract: This method actively offsets the neutral point of the current space vector to ensure a sinusoidal outputof the grid current, and it can achieve the upper limit power of the inverter under the condition ofthe influence of the transformer ferromagnetic resonance caused by the neutral point offset on the powersuppresses the resonance caused by the transformer and the modified modulation, improving the grid current’s power

Keywords： current source converter (CSC)     fault-tolerant control     space vector modulation     active damping     resonancesuppression     power quality    

HTML PDF Collect

Multiple target implementation for a doubly fed induction generator based on direct power control under

Heng NIAN,Yi-peng SONG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 321-334 doi: 10.1631/FITEE.1400170

Abstract: a doubly fed induction generator (DFIG) under unbalanced and distorted grid voltage based on direct powerintegral (PI) regulator is adopted to regulate the DFIG average active and reactive powers, while the vectorstator active and reactive powers; (3) smooth electromagnetic torque and instantaneous stator reactive power

Keywords： Direct power control     Doubly fed induction generator     Unbalanced and distorted grid voltage     Vector proportional    

HTML PDF Collect

Comparison of optimal capacitor placement methods in radial distribution system with load growth and ZIP load model

Veera Venkata Satya Naryana MURTY, Ashwani KUMAR

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 197-213 doi: 10.1007/s11708-013-0249-7

Abstract: In this paper, a combined power loss sensitivity (PLS) index-based approach is proposed to determinethe real and reactive combined loss sensitivity index, as capacitor placement not only reduces real powerloss with voltage profile improvement but also reduces reactive power loss due to the reactive powerThe results have been obtained with the existing methods of power loss index (PLI) and index vector (

Keywords： load growth     load models     reactive power compensation     radial distribution system     power loss index (PLI)     power loss sensitivity (PLS)     index vector (IV)    

HTML PDF Collect

Robust direct power control based on the Lyapunov theory of a grid-connected brushless doubly fed induction

M. Abdelbasset MAHBOUB,Said DRID,M. A. SID,Ridha CHEIKH

Frontiers in Energy 2016, Volume 10, Issue 3,   Pages 298-307 doi: 10.1007/s11708-016-0411-0

Abstract: This paper deals with robust direct power control of a grid-connected brushless doubly-fed inductionis made to improve the desired performances by controlling the generated stator active and reactive powerThus, an optimal operation of the BDFIG in sub-synchronous operation is obtained as well as the stator powerflows with the possibility of keeping stator power factor at a unity.

Keywords： brushless doubly fed induction generator (BDFIG)     vector control     Lyapunov theory     power factor unity     activeand reactive power    

HTML PDF Collect

Improved three-vector based dead-beat model predictive direct power control strategy for grid-connected None

Chen-wen CHENG, Heng NIAN, Long-qi LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1420-1431 doi: 10.1631/FITEE.1601874

Abstract:

Since only one inverter voltage vector is applied during each duty cycle, traditional model predictivedirect power control (MPDPC) for grid-connected inverters (GCIs) results in serious harmonics in currentand power.Thus, smooth steady-state performance of both current and power can be obtained.on the power errors rather than the sector where the grid voltage vector is located, which ensures that

Keywords： Grid-connected inverter     Model predictive control     Direct power control     Three vectors     Constant switchingfrequency     Power errors    

HTML PDF Collect

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThe effect of capacity factor ( ) on number of support vector and model accuracy has also been investigated

Keywords： earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

HTML PDF Collect

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: Online estimation of rotor resistance is essential for high performance vector controlled drives.

Keywords： neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

HTML PDF Collect

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 520-536 doi: 10.1007/s11709-021-0689-9

Abstract: Two artificial-intelligence-based models including artificial neural networks and support vector machinesThis study demonstrates the better performance of support vector machines in predicting the strengthThe type of kernel function used in support vector machine models contributed positively to the performance

Keywords： unconfined compressive strength     artificial neural network     support vector machine     predictive models     regression    

HTML PDF Collect

A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control

Abdelhak DIDA,Djilani BENATTOUS

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 143-154 doi: 10.1007/s11708-016-0402-1

Abstract: A vector control (VC) of the rotor side converter (RSC) offers independent regulation of the stator activeand reactive power and the optimal rotational speed tracking in the power maximization operating modescheme for the grid-side converter (GSC) allows an independent regulation of the active and reactive power

Keywords： wind turbine generation system (WTGS)     doubly-fed induction generator (DFIG)     maximum power point tracking(MPPT)     vector control (VC)     fuzzy logic controller (FLC)    

HTML PDF Collect

Title Author Date Type Operation

Evaluation of the power consumption of a high-speed parallel robot

Gang HAN, Fugui XIE, Xin-Jun LIU

Journal Article

Tuned reactive power dispatch through modified differential evolution technique

S. BISWAS (RAHA), N. CHAKRABORTY

Journal Article

Performance of PI controller for control of active and reactive power in DFIG operating in a grid-connected

Azzouz TAMAARAT,Abdelhamid BENAKCHA

Journal Article

Robust control based on the Lyapunov theory of a grid-connected doubly fed induction generator

Ridha CHEIKH, Arezki MENACER, Said DRID

Journal Article

An artificial intelligence based method for evaluating power grid node importance using network embeddingand support vector regression

Hui-fang WANG, Chen-yu ZHANG, Dong-yang LIN, Ben-teng HE

Journal Article

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Journal Article

Fault tolerant control strategy for modular PWM current source inverter

Journal Article

Multiple target implementation for a doubly fed induction generator based on direct power control under

Heng NIAN,Yi-peng SONG

Journal Article

Comparison of optimal capacitor placement methods in radial distribution system with load growth and ZIP load model

Veera Venkata Satya Naryana MURTY, Ashwani KUMAR

Journal Article

Robust direct power control based on the Lyapunov theory of a grid-connected brushless doubly fed induction

M. Abdelbasset MAHBOUB,Said DRID,M. A. SID,Ridha CHEIKH

Journal Article

Improved three-vector based dead-beat model predictive direct power control strategy for grid-connected

Chen-wen CHENG, Heng NIAN, Long-qi LI

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Journal Article

A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control

Abdelhak DIDA,Djilani BENATTOUS

Journal Article