Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm

Carolina G. Marcelino; Elizabeth F. Wanner; Flavio V.C. Martins; Jorge Perez-Aracil; Silvia Jimenez-Fernandez; Sancho Salcedo-Sanz

doi:10.1109/CEC55065.2022.9870385

Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm

Carolina G. Marcelino, Elizabeth F. Wanner, Flavio V.C. Martins, Jorge Perez-Aracil, Silvia Jimenez-Fernandez, Sancho Salcedo-Sanz

Aston University

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Optimal active-reactive power dispatch problems (OARPD) are considered large scale optimization problems with a high nonlinear complexity. Usually, in OARPD the objective is to minimize the cost of the system operation. In 2018, the IEEE PES committee proposed a competition, the 'Operational planning of sustainable power systems', in which a test bed relating the OARPD and a renewable energy generation challenge within a smart grid was proposed. In this work we consider three test scenarios proposed in that competition. Specifically, we present a hybrid meta-heuristic optimization approach applied to the OARPD, the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO), to tackle these test scenarios. Comparative results with other algorithms such as CMA-ES, EPSO, and CEEPSO indicate that C-DEEPSO shows a competitive performance when solving the OARPD problems.

Original language	English
Title of host publication	2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings
Publisher	IEEE
ISBN (Electronic)	9781665467087
DOIs	https://doi.org/10.1109/CEC55065.2022.9870385
Publication status	Published - 6 Sept 2022
Event	2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Padua, Italy Duration: 18 Jul 2022 → 23 Jul 2022

Publication series

Name	2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

Conference

Conference	2022 IEEE Congress on Evolutionary Computation, CEC 2022
Country/Territory	Italy
City	Padua
Period	18/07/22 → 23/07/22

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 754382. This research has also been partially supported by Comunidad de Madrid, PROMINT-CM project (grant ref: P2018/EMT-4366) and by the project PID2020-115454GB-C21 of the Spanish Ministry of Science and Innovation (MICINN). The authors thank UAH, UFRJ and CEFET-MG for the infrastructure, and Brazilian research agencies for partially support: CAPES (Finance Code 001), FAPERJ, and National Council for Scientific and Technological Development – CNPq. “The content of this publication does not reflect the official opinion of the European Union. Responsibility for the information and views expressed herein lies entirely with the author(s).” This project has received funding from the European Union s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 754382. This research has also been partially supported by Comunidad de Madrid, PROMINTCM project (grant ref: P2018/EMT-4366) and by the project PID2020-115454GB-C21 of the Spanish Ministry of Science and Innovation (MICINN). The authors thank UAH, UFRJ and CEFET-MG for the infrastructure, and Brazilian research agencies for partially support: CAPES (Finance Code 001), FAPERJ, and National Council for Scientific and Technological Development CNPq. "The content of this publication does not reflect the official opinion of the European Union. Responsibility for the information and views expressed herein lies entirely with the author(s)."

Keywords

C-DEEPSO
Evolutionary algorithms
OARPD
Smart Grids

Access to Document

10.1109/CEC55065.2022.9870385

Cite this

Marcelino, C. G., Wanner, E. F., Martins, F. V. C., Perez-Aracil, J., Jimenez-Fernandez, S., & Salcedo-Sanz, S. (2022). Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm. In 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings). IEEE. https://doi.org/10.1109/CEC55065.2022.9870385

@inproceedings{48c2dd48d17f4938a22ce9c06c494cc0,

title = "Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm",

abstract = "Optimal active-reactive power dispatch problems (OARPD) are considered large scale optimization problems with a high nonlinear complexity. Usually, in OARPD the objective is to minimize the cost of the system operation. In 2018, the IEEE PES committee proposed a competition, the 'Operational planning of sustainable power systems', in which a test bed relating the OARPD and a renewable energy generation challenge within a smart grid was proposed. In this work we consider three test scenarios proposed in that competition. Specifically, we present a hybrid meta-heuristic optimization approach applied to the OARPD, the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO), to tackle these test scenarios. Comparative results with other algorithms such as CMA-ES, EPSO, and CEEPSO indicate that C-DEEPSO shows a competitive performance when solving the OARPD problems.",

keywords = "C-DEEPSO, Evolutionary algorithms, OARPD, Smart Grids",

author = "Marcelino, {Carolina G.} and Wanner, {Elizabeth F.} and Martins, {Flavio V.C.} and Jorge Perez-Aracil and Silvia Jimenez-Fernandez and Sancho Salcedo-Sanz",

year = "2022",

month = sep,

day = "6",

doi = "10.1109/CEC55065.2022.9870385",

language = "English",

series = "2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings",

publisher = "IEEE",

booktitle = "2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings",

address = "United States",

note = "2022 IEEE Congress on Evolutionary Computation, CEC 2022 ; Conference date: 18-07-2022 Through 23-07-2022",

}

Marcelino, CG, Wanner, EF, Martins, FVC, Perez-Aracil, J, Jimenez-Fernandez, S & Salcedo-Sanz, S 2022, Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm. in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, IEEE, 2022 IEEE Congress on Evolutionary Computation, CEC 2022, Padua, Italy, 18/07/22. https://doi.org/10.1109/CEC55065.2022.9870385

Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm. / Marcelino, Carolina G.; Wanner, Elizabeth F.; Martins, Flavio V.C. et al.
2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. IEEE, 2022. (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm

AU - Marcelino, Carolina G.

AU - Wanner, Elizabeth F.

AU - Martins, Flavio V.C.

AU - Perez-Aracil, Jorge

AU - Jimenez-Fernandez, Silvia

AU - Salcedo-Sanz, Sancho

PY - 2022/9/6

Y1 - 2022/9/6

N2 - Optimal active-reactive power dispatch problems (OARPD) are considered large scale optimization problems with a high nonlinear complexity. Usually, in OARPD the objective is to minimize the cost of the system operation. In 2018, the IEEE PES committee proposed a competition, the 'Operational planning of sustainable power systems', in which a test bed relating the OARPD and a renewable energy generation challenge within a smart grid was proposed. In this work we consider three test scenarios proposed in that competition. Specifically, we present a hybrid meta-heuristic optimization approach applied to the OARPD, the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO), to tackle these test scenarios. Comparative results with other algorithms such as CMA-ES, EPSO, and CEEPSO indicate that C-DEEPSO shows a competitive performance when solving the OARPD problems.

AB - Optimal active-reactive power dispatch problems (OARPD) are considered large scale optimization problems with a high nonlinear complexity. Usually, in OARPD the objective is to minimize the cost of the system operation. In 2018, the IEEE PES committee proposed a competition, the 'Operational planning of sustainable power systems', in which a test bed relating the OARPD and a renewable energy generation challenge within a smart grid was proposed. In this work we consider three test scenarios proposed in that competition. Specifically, we present a hybrid meta-heuristic optimization approach applied to the OARPD, the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO), to tackle these test scenarios. Comparative results with other algorithms such as CMA-ES, EPSO, and CEEPSO indicate that C-DEEPSO shows a competitive performance when solving the OARPD problems.

KW - C-DEEPSO

KW - Evolutionary algorithms

KW - OARPD

KW - Smart Grids

UR - https://ieeexplore.ieee.org/document/9870385

UR - http://www.scopus.com/inward/record.url?scp=85138684448&partnerID=8YFLogxK

U2 - 10.1109/CEC55065.2022.9870385

DO - 10.1109/CEC55065.2022.9870385

M3 - Conference publication

AN - SCOPUS:85138684448

T3 - 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

BT - 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

PB - IEEE

T2 - 2022 IEEE Congress on Evolutionary Computation, CEC 2022

Y2 - 18 July 2022 through 23 July 2022

ER -

Marcelino CG, Wanner EF, Martins FVC, Perez-Aracil J, Jimenez-Fernandez S, Salcedo-Sanz S. Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm. In 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. IEEE. 2022. (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings). doi: 10.1109/CEC55065.2022.9870385

Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this