Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 78 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,498,159 unique visits
994,327 downloads
Since November 1, 2009



Robots online now
bingbot
PetalBot
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
Issue 2/2022

AbstractPlus


SAMPLE ARTICLES

Frequency Domain Horizontal Cross Correlation Analysis of RSA, AKALP KUZU, E., TANGEL, A., ORS YALCIN, S. B.
Issue 2/2022

AbstractPlus

Triple-feature-based Particle Filter Algorithm Used in Vehicle Tracking Applications, ABDULLA, A. A., GRAOVAC, S., PAPIC, V., KOVACEVIC., B.
Issue 2/2021

AbstractPlus

Performance Analysis of Electro-Impulse De-icing Device for Overhead Ground Wire, ZHOU, X., ZHU, Y., SUN, S., CAI, X.
Issue 4/2022

AbstractPlus

A New Visual Cryptography Method Based on the Profile Hidden Markov Model, OZCAN, H., KAYA GULAGIZ, F., ALTUNCU, M. A., ILKIN, S., SAHIN, S.
Issue 1/2021

AbstractPlus

Quantum Steganography Using Two Hidden Thresholds, TUDORACHE, A.-G., MANTA, V., CARAIMAN, S.
Issue 4/2021

AbstractPlus

Novel Power Smoothing Technique for a Hybrid AC-DC Microgrid Operating with Multiple Alternative Energy Sources, NEMPU, P. B., SABHAHIT, J. N., GAONKAR, D. N., RAO, V. S.
Issue 2/2021

AbstractPlus




LATEST NEWS

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

Read More »


    
 

  2/2010 - 27
View TOC | « Previous Article | Next Article »

 HIGH-IMPACT PAPER 

A modified Adaptive Wavelet PID Control Based on Reinforcement Learning for Wind Energy Conversion System Control

SEDIGHIZADEH, M. See more information about SEDIGHIZADEH, M. on SCOPUS See more information about SEDIGHIZADEH, M. on IEEExplore See more information about SEDIGHIZADEH, M. on Web of Science, REZAZADEH, A. See more information about REZAZADEH, A. on SCOPUS See more information about REZAZADEH, A. on SCOPUS See more information about REZAZADEH, A. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,587 KB) | Citation | Downloads: 2,436 | Views: 6,033

Author keywords
control, reinforcement, neural network, wavelet, wind energy

References keywords
control(14), wind(10), adaptive(8), neural(7), networks(7), sedighizadeh(6), turbine(5), systems(5), energy(5), conversion(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 153 - 159
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02027
Web of Science Accession Number: 000280312600027
SCOPUS ID: 77954629341

Abstract
Quick view
Full text preview
Nonlinear characteristics of wind turbines and electric generators necessitate complicated and nonlinear control of grid connected Wind Energy Conversion Systems (WECS). This paper proposes a modified self-tuning PID control strategy, using reinforcement learning for WECS control. The controller employs Actor-Critic learning in order to tune PID parameters adaptively. These Actor-Critic learning is a special kind of reinforcement learning that uses a single wavelet neural network to approximate the policy function of the Actor and the value function of the Critic simultaneously. These controllers are used to control a typical WECS in noiseless and noisy condition and results are compared with an adaptive Radial Basis Function (RBF) PID control based on reinforcement learning and conventional PID control. Practical emulated results prove the capability and the robustness of the suggested controller versus the other PID controllers to control of the WECS. The ability of presented controller is tested by experimental setup.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 10 [View]
View record in Web of Science® [View]
View Related Records® [View]

Updated 2 days ago


Cited-By SCOPUS

SCOPUS® Times Cited: 12
View record in SCOPUS®
[Free preview]
View citations in SCOPUS® [Free preview]

Updated today

Cited-By CrossRef

[1] PID Neural Network Based Speed Control of Asynchronous Motor using Programmable Logic Controller, MARABA, V. A., KUZUCUOGLU, A. E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 11, 2011.
Digital Object Identifier: 10.4316/AECE.2011.04004
[CrossRef] [Full text]

[2] Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability, Khater, A. Aziz, El-Nagar, Ahmad M., El-Bardini, Mohammad, El-Rabaie, Nabila M., Journal of the Franklin Institute, ISSN 0016-0032, Issue 14, Volume 355, 2018.
Digital Object Identifier: 10.1016/j.jfranklin.2018.06.031
[CrossRef]

[3] A Novel Structure of Actor-Critic Learning Based on an Interval Type-2 TSK Fuzzy Neural Network, Khater, A. Aziz, El-Nagar, Ahmad M., El-Bardini, Mohammad, El-Rabaie, Nabila, IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, Issue 11, Volume 28, 2020.
Digital Object Identifier: 10.1109/TFUZZ.2019.2949554
[CrossRef]

[4] $H_{\infty }$ PID Control for Discrete-Time Fuzzy Systems With Infinite-Distributed Delays Under Round-Robin Communication Protocol, Wang, Yezheng, Wang, Zidong, Zou, Lei, Dong, Hongli, IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, Issue 6, Volume 30, 2022.
Digital Object Identifier: 10.1109/TFUZZ.2021.3069329
[CrossRef]

[5] Reinforcement learning in wind energy - a review, Narayanan, Valayapathy Lakshmi, International Journal of Green Energy, ISSN 1543-5075, 2023.
Digital Object Identifier: 10.1080/15435075.2023.2281329
[CrossRef]

[6] Design of Deep Reinforcement Learning Controller Through Data-assisted Model for Robotic Fish Speed Tracking, Duraisamy, Palmani, Nagarajan Santhanakrishnan, Manigandan, Rengarajan, Amirtharajan, Journal of Bionic Engineering, ISSN 1672-6529, Issue 3, Volume 20, 2023.
Digital Object Identifier: 10.1007/s42235-022-00309-7
[CrossRef]

[7] Pitch Based Wind Turbine Intelligent Speed Setpoint Adjustment Algorithms, González-González, Asier, Etxeberria-Agiriano, Ismael, Zulueta, Ekaitz, Oterino-Echavarri, Fernando, Lopez-Guede, Jose, Energies, ISSN 1996-1073, Issue 6, Volume 7, 2014.
Digital Object Identifier: 10.3390/en7063793
[CrossRef]

[8] A Novel Method for Inverter Faults Detection and Diagnosis in PMSM Drives of HEVs based on Discrete Wavelet Transform, AKTAS, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 12, 2012.
Digital Object Identifier: 10.4316/AECE.2012.04005
[CrossRef] [Full text]

[9] Model predictive control for constrained robot manipulator visual servoing tuned by reinforcement learning, Li, Jiashuai, Peng, Xiuyan, Li, Bing, Sreeram, Victor, Wu, Jiawei, Chen, Ziang, Li, Mingze, Mathematical Biosciences and Engineering, ISSN 1551-0018, Issue 6, Volume 20, 2023.
Digital Object Identifier: 10.3934/mbe.2023463
[CrossRef]

[10] Improving the performance of a class of adaptive fuzzy controller based on stable and fast on-line learning algorithm, Khater, Abdel Aziz, El-Nagar, Ahmad M., El-Bardini, Mohammad, El-Rabaie, Nabila M., European Journal of Control, ISSN 0947-3580, Issue , 2020.
Digital Object Identifier: 10.1016/j.ejcon.2019.07.001
[CrossRef]

Updated 2 days ago

Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.

Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.


Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy