A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem

Zia Ullah; M. R. Elkadeem; Shaorong Wang; Muhammad Azam; Khdija Shaheen; Mehmood Hussain; Muhammad Rizwan

doi:10.1007/978-3-030-44041-1_29

A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem

Zia Ullah^*
, M. R. Elkadeem
, Shaorong Wang
, Muhammad Azam
, Khdija Shaheen
, Mehmood Hussain
, Muhammad Rizwan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Electric power from several sources in an electrical power system is to be accurately planned for economical and reliable operation. Power loss minimization, generation, and fuel cost minimization, voltage stability and carbon emission reduction are the prominent advantages of OFP. Thus, recently, the optimal solution of OPF become a valuable part of power system planning and optimization. This paper presents a mini-review on methods applied for the OPF solution. The applied methods include conventional and metaheuristic methodologies for solving the OPF problem. Moreover, the most recently applied metaheuristic methods for solving the OPF problem are covered and presented, including considered OFP type, validation test system, and numerous optimization objectives.

Original language	English
Title of host publication	Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020
Editors	Leonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
Publisher	Springer
Pages	308-319
Number of pages	12
ISBN (Print)	9783030440404
DOIs	https://doi.org/10.1007/978-3-030-44041-1_29
State	Published - 2020
Externally published	Yes
Event	34th International Conference on Advanced Information Networking and Applications, AINA 2020 - Caserta, Italy Duration: 15 Apr 2020 → 17 Apr 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1151 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	34th International Conference on Advanced Information Networking and Applications, AINA 2020
Country/Territory	Italy
City	Caserta
Period	15/04/20 → 17/04/20

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-44041-1_29

Cite this

Ullah, Z., Elkadeem, M. R., Wang, S., Azam, M., Shaheen, K., Hussain, M., & Rizwan, M. (2020). A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem. In L. Barolli, F. Amato, F. Moscato, T. Enokido, & M. Takizawa (Eds.), Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020 (pp. 308-319). (Advances in Intelligent Systems and Computing; Vol. 1151 AISC). Springer. https://doi.org/10.1007/978-3-030-44041-1_29

Ullah, Zia ; Elkadeem, M. R. ; Wang, Shaorong et al. / A Mini-review : Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem. Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020. editor / Leonard Barolli ; Flora Amato ; Francesco Moscato ; Tomoya Enokido ; Makoto Takizawa. Springer, 2020. pp. 308-319 (Advances in Intelligent Systems and Computing).

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title = "A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem",

abstract = "Electric power from several sources in an electrical power system is to be accurately planned for economical and reliable operation. Power loss minimization, generation, and fuel cost minimization, voltage stability and carbon emission reduction are the prominent advantages of OFP. Thus, recently, the optimal solution of OPF become a valuable part of power system planning and optimization. This paper presents a mini-review on methods applied for the OPF solution. The applied methods include conventional and metaheuristic methodologies for solving the OPF problem. Moreover, the most recently applied metaheuristic methods for solving the OPF problem are covered and presented, including considered OFP type, validation test system, and numerous optimization objectives.",

author = "Zia Ullah and Elkadeem, \{M. R.\} and Shaorong Wang and Muhammad Azam and Khdija Shaheen and Mehmood Hussain and Muhammad Rizwan",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 34th International Conference on Advanced Information Networking and Applications, AINA 2020 ; Conference date: 15-04-2020 Through 17-04-2020",

year = "2020",

doi = "10.1007/978-3-030-44041-1\_29",

language = "English",

isbn = "9783030440404",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "308--319",

editor = "Leonard Barolli and Flora Amato and Francesco Moscato and Tomoya Enokido and Makoto Takizawa",

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address = "Germany",

}

Ullah, Z, Elkadeem, MR, Wang, S, Azam, M, Shaheen, K, Hussain, M & Rizwan, M 2020, A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem. in L Barolli, F Amato, F Moscato, T Enokido & M Takizawa (eds), Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020. Advances in Intelligent Systems and Computing, vol. 1151 AISC, Springer, pp. 308-319, 34th International Conference on Advanced Information Networking and Applications, AINA 2020, Caserta, Italy, 15/04/20. https://doi.org/10.1007/978-3-030-44041-1_29

A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem. / Ullah, Zia; Elkadeem, M. R.; Wang, Shaorong et al.
Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020. ed. / Leonard Barolli; Flora Amato; Francesco Moscato; Tomoya Enokido; Makoto Takizawa. Springer, 2020. p. 308-319 (Advances in Intelligent Systems and Computing; Vol. 1151 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Mini-review

T2 - 34th International Conference on Advanced Information Networking and Applications, AINA 2020

AU - Ullah, Zia

AU - Elkadeem, M. R.

AU - Wang, Shaorong

AU - Azam, Muhammad

AU - Shaheen, Khdija

AU - Hussain, Mehmood

AU - Rizwan, Muhammad

PY - 2020

Y1 - 2020

N2 - Electric power from several sources in an electrical power system is to be accurately planned for economical and reliable operation. Power loss minimization, generation, and fuel cost minimization, voltage stability and carbon emission reduction are the prominent advantages of OFP. Thus, recently, the optimal solution of OPF become a valuable part of power system planning and optimization. This paper presents a mini-review on methods applied for the OPF solution. The applied methods include conventional and metaheuristic methodologies for solving the OPF problem. Moreover, the most recently applied metaheuristic methods for solving the OPF problem are covered and presented, including considered OFP type, validation test system, and numerous optimization objectives.

AB - Electric power from several sources in an electrical power system is to be accurately planned for economical and reliable operation. Power loss minimization, generation, and fuel cost minimization, voltage stability and carbon emission reduction are the prominent advantages of OFP. Thus, recently, the optimal solution of OPF become a valuable part of power system planning and optimization. This paper presents a mini-review on methods applied for the OPF solution. The applied methods include conventional and metaheuristic methodologies for solving the OPF problem. Moreover, the most recently applied metaheuristic methods for solving the OPF problem are covered and presented, including considered OFP type, validation test system, and numerous optimization objectives.

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A2 - Moscato, Francesco

A2 - Enokido, Tomoya

A2 - Takizawa, Makoto

PB - Springer

Y2 - 15 April 2020 through 17 April 2020

ER -

Ullah Z, Elkadeem MR, Wang S, Azam M, Shaheen K, Hussain M et al. A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem. In Barolli L, Amato F, Moscato F, Enokido T, Takizawa M, editors, Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020. Springer. 2020. p. 308-319. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-44041-1_29

A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this