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: 55 days
Avg accept to publ: 60 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

2,589,483 unique visits
1,028,324 downloads
Since November 1, 2009



Robots online now
bingbot


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

Classification of Low-Resolution Flying Objects in Videos Using the Machine Learning Approach, STANCIC, I., VEIC, L., MUSIC, J., GRUJIC, T.
Issue 2/2022

AbstractPlus

AC-DC Bidirectional Converter-based Flexible Interconnection for Low Voltage Side in Power Systems, KONG, Y., WANG, Y., Li, Y., ZHAO, Z., GUO, Y., ZHONG, J.
Issue 1/2024

AbstractPlus

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

Research on Torque Ripple Minimization of Double-stator Switched Reluctance Motor Using Finite Element Method, Das GUPTA, T., CHAUDHARY, K.
Issue 4/2021

AbstractPlus

Lossy Compression using Adaptive Polynomial Image Encoding, OTHMAN, S., MOHAMED, A., ABOUALI, A., NOSSAIR, Z.
Issue 1/2021

AbstractPlus

Image Forgery Detection Using Noise and Edge Weighted Local Texture Features, ASGHAR, K., SADDIQUE, M., HUSSAIN, M., BEBIS, G., HABIB, Z.
Issue 1/2022

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 »


    
 

  2/2015 - 4

 HIGH-IMPACT PAPER 

Solution Approach to Automatic Generation Control Problem Using Hybridized Gravitational Search Algorithm Optimized PID and FOPID Controllers

DAHIYA, P. See more information about DAHIYA, P. on SCOPUS See more information about DAHIYA, P. on IEEExplore See more information about DAHIYA, P. on Web of Science, SHARMA, V. See more information about  SHARMA, V. on SCOPUS See more information about  SHARMA, V. on SCOPUS See more information about SHARMA, V. on Web of Science, NARESH, R. See more information about NARESH, R. on SCOPUS See more information about NARESH, R. on SCOPUS See more information about NARESH, R. 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 (1,083 KB) | Citation | Downloads: 1,084 | Views: 4,510

Author keywords
automatic generation control, disruption operator, fractional calculus, gravitational search algorithm, opposition based learning

References keywords
power(21), control(17), load(9), frequency(9), algorithm(9), generation(8), systems(7), automatic(7), system(6), search(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 23 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02004
Web of Science Accession Number: 000356808900004
SCOPUS ID: 84979725893

Abstract
Quick view
Full text preview
This paper presents the application of hybrid opposition based disruption operator in gravitational search algorithm (DOGSA) to solve automatic generation control (AGC) problem of four area hydro-thermal-gas interconnected power system. The proposed DOGSA approach combines the advantages of opposition based learning which enhances the speed of convergence and disruption operator which has the ability to further explore and exploit the search space of standard gravitational search algorithm (GSA). The addition of these two concepts to GSA increases its flexibility for solving the complex optimization problems. This paper addresses the design and performance analysis of DOGSA based proportional integral derivative (PID) and fractional order proportional integral derivative (FOPID) controllers for automatic generation control problem. The proposed approaches are demonstrated by comparing the results with the standard GSA, opposition learning based GSA (OGSA) and disruption based GSA (DGSA). The sensitivity analysis is also carried out to study the robustness of DOGSA tuned controllers in order to accommodate variations in operating load conditions, tie-line synchronizing coefficient, time constants of governor and turbine. Further, the approaches are extended to a more realistic power system model by considering the physical constraints such as thermal turbine generation rate constraint, speed governor dead band and time delay.


References | Cited By  «-- Click to see who has cited this paper

[1] H. Saadat, Power system analysis, 2nd ed. New Delhi, India: TMH, pp. 551, 2002.

[2] Ibraheem, P. Kumar, D.P. Kothari, "Recent philosophies of automatic generation control strategies in power systems," IEEE T Power Syst, Vol. 20, No. 1, pp. 346-57, Feb. 2005.
[CrossRef] [Web of Science Times Cited 525] [SCOPUS Times Cited 764]


[3] H. Shayeghi, H.A. Shayanfar, A. Jalili, "Load frequency control strategies: A state-of-the-art survey for the researcher," Energ Convers Manage, Vol. 50, No. 2, pp. 344-353, Feb. 2009.
[CrossRef] [Web of Science Times Cited 369] [SCOPUS Times Cited 477]


[4] S.K. Pandey, R.M. Soumya, N. Kishor, "A literature survey on load-frequency control for conventional and distribution generation power systems," Renew Sust Energ Rev, Vol. 25, pp. 318-334, Sep. 2013.
[CrossRef] [Web of Science Times Cited 382] [SCOPUS Times Cited 486]


[5] S.J.P.S. Mariano, J.A.N. Pombo, M.R.A. Calado, L.A.F.M. Ferreira, "A procedure to specify the weighting matrices for an optimal load-frequency controller," Turk J Electr Eng Co, Vol. 20, No. 3, pp. 367-379, 2012.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 9]


[6] N. Hasan, Ibraheem, P. Kumar, N. Nizamuddin, "Sub-optimal automatic generation control of interconnected power system using constrained feedback control strategy," Int J Elec Power, Vol. 43, No. 1, pp. 295-303, Dec. 2012.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 31]


[7] A. Demiroren, N.S. Sengor, H.L. Zeynelgil, "Automatic generation control by using ANN technique," Electr Pow Compo Sys, Vol. 29, No. 10, pp. 883-896, 2001.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 78]


[8] A. Zavoianu, G. Bramerdorfer, E. Lughofer, S. Siber, W. Amrhein, E.P. Klement, "Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives," Eng Appl Artif Intel, Vol. 26, No. 8, pp. 1781-1794, Jun. 2013.
[CrossRef] [Web of Science Times Cited 71] [SCOPUS Times Cited 87]


[9] E. Cam and I. Kocaarslan, "Load frequency control in two area power systems using fuzzy logic controller," Energ Convers Manage, Vol. 46, No. 2, pp. 233-243, Jan. 2005.
[CrossRef] [Web of Science Times Cited 133] [SCOPUS Times Cited 175]


[10] M.I. Alomoush, "Load frequency control and automatic generation control using fractional order controllers," Electr Eng, Vol. 91, No. 7, pp. 357-368, Jan. 2010.
[CrossRef] [Web of Science Times Cited 119] [SCOPUS Times Cited 116]


[11] H. Shayeghi, A. Jalili, H.A. Shayanfar, "Multi-stage fuzzy load frequency control using PSO," Energ Convers Manage, Vol. 49, No. 10, pp. 2570-2580, Oct. 2008.
[CrossRef] [Web of Science Times Cited 107] [SCOPUS Times Cited 156]


[12] F. Valdez, P. Melin, O. Castillo, "An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms," Appl Soft Comput, Vol. 11, No. 2, pp. 2625-2632, Mar. 2011.
[CrossRef] [Web of Science Times Cited 156] [SCOPUS Times Cited 203]


[13] N. A. El-Hefnawy, "Solving bi-level problems using modified particle swarm optimization algorithm," Int J Artificial Intelligence, Vol. 12, No. 2, pp. 88-101, Oct. 2014.

[14] E.S. Ali, S.M. Abd-Elazim, "Bacteria foraging optimization algorithm based load frequency control for interconnected power system," Int J Elec Power, Vol. 33, No. 3, pp. 633-638, Mar. 2011.
[CrossRef] [Web of Science Times Cited 311] [SCOPUS Times Cited 430]


[15] U.K. Rout, R.K. Sahu, S. Panda, "Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system," Ain Shams Eng J, Vol. 4, No. 3, pp. 409-421, Sep. 2013.
[CrossRef] [Web of Science Times Cited 183] [SCOPUS Times Cited 251]


[16] H. Shabani, B. Vahidi, M. Ebrahimpour, "A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems," ISA T, Vol. 52, No. 1, pp. 88-95, Jan. 2013.
[CrossRef] [Web of Science Times Cited 224] [SCOPUS Times Cited 296]


[17] S. Debbarma, L.C. Saikia, N. Sinha, "Automatic generation control using two degree of freedom fractional order PID controller," Int J Elec Power, Vol. 58, pp. 120-129, Jun. 2014.
[CrossRef] [Web of Science Times Cited 152] [SCOPUS Times Cited 202]


[18] E. Rashedi, H. Nezamabadi-pour, J.S. Saryazdi, "GSA: a gravitational search algorithm," Inform Sciences, Vol. 179, No. 13, pp. 2232-2248, Jun. 2009.
[CrossRef] [Web of Science Times Cited 4712] [SCOPUS Times Cited 5765]


[19] R.K. Sahu, S. Panda, S. Padhan, "Optimal gravitational search algorithm for automatic generation control of interconnected power systems," Ain Shams Eng J, Vol. 5, No. 3, pp. 721-733, Sep. 2014.
[CrossRef] [Web of Science Times Cited 123] [SCOPUS Times Cited 169]


[20] R. E. Precup, R. C. David, E. M. Petriu, S. Preitl, A. S. Paul, "Gravitational search algorithm-based tuning of fuzzy control systems with a reduced parametric sensitivity," Series: Soft Computing in Industrial Applications, Advances in Intelligent and Soft Computing, Vol. 96, pp. 141-150, 2011.
[CrossRef] [SCOPUS Times Cited 79]


[21] S. Rahnamayan, H.R. Tizhoosh, M.M.A. Salama, "A novel population initialization method for accelerating evolutionary algorithms," Comput Math Appl, Vol. 53, No. 10, pp. 1605-1614, May 2007.
[CrossRef] [Web of Science Times Cited 223] [SCOPUS Times Cited 284]


[22] B. Shaw, V. Mukherjee, S.P. Ghoshal, "A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems," Int J Elec Power, Vol. 35, No. 1, pp. 21-33, Feb. 2012.
[CrossRef] [Web of Science Times Cited 196] [SCOPUS Times Cited 227]


[23] S. Sarafrazi, H. Nezamabadipour, S. Saryazdi, "Disruption: a new operator in gravitational search algorithm," Sci Iran, Vol. 18, No. 3, pp. 539-548, Jun. 2011.
[CrossRef] [Web of Science Times Cited 132] [SCOPUS Times Cited 161]


[24] A.W. Berger, F.C. Schweppe, "Real time pricing to assist in load frequency control," IEEE T Power Syst, Vol. 4, No. 3, pp. 920-926, Aug. 1989.
[CrossRef] [Web of Science Times Cited 83] [SCOPUS Times Cited 104]


[25] I.C. Report, "Dynamic model for steam and hydro turbines in power system studies," IEEE T Power Ap Syst, Vol. PAS-92, No. 6, pp. 1904-1915, Nov. 1973.
[CrossRef] [SCOPUS Times Cited 782]


[26] I.W.G. Report, "Dynamic models for fossil fuelled steam units in power system studies," IEEE T Power Syst, Vol. 6, No. 2, pp. 753-761, May 1991.
[CrossRef] [Web of Science Times Cited 174] [SCOPUS Times Cited 286]


[27] W.I. Rowen, "Simplified mathematical representation of heavy duty gas turbine," J Eng Gas Turb Power, Vol. 105, No. 4, pp. 865-870, Oct. 1983.
[CrossRef] [Web of Science Times Cited 386] [SCOPUS Times Cited 574]




References Weight

Web of Science® Citations for all references: 8,852 TCR
SCOPUS® Citations for all references: 12,192 TCR

Web of Science® Average Citations per reference: 316 ACR
SCOPUS® Average Citations per reference: 435 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-05-25 11:38 in 168 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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