Improving the AC transmission expansion planning by using initial solutions algorithms

Nelson E. Matute; Santiago P. Torres; Edgar G. Morquecho; Fabian Astudillo-Salinas; Julio C. Lopez; Wilfredo C. Flores

doi:10.1109/ISGT-Europe47291.2020.9248778

Improving the AC transmission expansion planning by using initial solutions algorithms

Nelson E. Matute
, Santiago P. Torres
, Edgar G. Morquecho
, Fabian Astudillo-Salinas
, Julio C. Lopez
, Wilfredo C. Flores

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

3 Scopus citations

Abstract

Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.

Original language	English
Title of host publication	Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
Publisher	IEEE Computer Society
Pages	494-498
Number of pages	5
ISBN (Electronic)	9781728171005
DOIs	https://doi.org/10.1109/ISGT-Europe47291.2020.9248778
State	Published - 26 Oct 2020
Event	10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 - Delft, Netherlands Duration: 26 Oct 2020 → 28 Oct 2020

Publication series

Name	IEEE PES Innovative Smart Grid Technologies Conference Europe
Volume	2020-October

Conference

Conference	10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
Country/Territory	Netherlands
City	Delft
Period	26/10/20 → 28/10/20

Keywords

AC model
Electric power systems
Initial solutions
Least-effort criterion
Transmission expansion planning

Access to Document

10.1109/ISGT-Europe47291.2020.9248778

Cite this

Matute, N. E., Torres, S. P., Morquecho, E. G., Astudillo-Salinas, F., Lopez, J. C., & Flores, W. C. (2020). Improving the AC transmission expansion planning by using initial solutions algorithms. In Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 (pp. 494-498). Article 9248778 (IEEE PES Innovative Smart Grid Technologies Conference Europe; Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/ISGT-Europe47291.2020.9248778

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title = "Improving the AC transmission expansion planning by using initial solutions algorithms",

abstract = "Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.",

keywords = "AC model, Electric power systems, Initial solutions, Least-effort criterion, Transmission expansion planning",

author = "Matute, \{Nelson E.\} and Torres, \{Santiago P.\} and Morquecho, \{Edgar G.\} and Fabian Astudillo-Salinas and Lopez, \{Julio C.\} and Flores, \{Wilfredo C.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 ; Conference date: 26-10-2020 Through 28-10-2020",

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doi = "10.1109/ISGT-Europe47291.2020.9248778",

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Matute, NE, Torres, SP, Morquecho, EG, Astudillo-Salinas, F, Lopez, JC & Flores, WC 2020, Improving the AC transmission expansion planning by using initial solutions algorithms. in Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020., 9248778, IEEE PES Innovative Smart Grid Technologies Conference Europe, vol. 2020-October, IEEE Computer Society, pp. 494-498, 10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020, Delft, Netherlands, 26/10/20. https://doi.org/10.1109/ISGT-Europe47291.2020.9248778

Improving the AC transmission expansion planning by using initial solutions algorithms. / Matute, Nelson E.; Torres, Santiago P.; Morquecho, Edgar G. et al.
Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020. IEEE Computer Society, 2020. p. 494-498 9248778 (IEEE PES Innovative Smart Grid Technologies Conference Europe; Vol. 2020-October).

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

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AU - Matute, Nelson E.

AU - Torres, Santiago P.

AU - Morquecho, Edgar G.

AU - Astudillo-Salinas, Fabian

AU - Lopez, Julio C.

AU - Flores, Wilfredo C.

PY - 2020/10/26

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N2 - Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.

AB - Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.

KW - AC model

KW - Electric power systems

KW - Initial solutions

KW - Least-effort criterion

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Matute NE, Torres SP, Morquecho EG, Astudillo-Salinas F, Lopez JC, Flores WC. Improving the AC transmission expansion planning by using initial solutions algorithms. In Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020. IEEE Computer Society. 2020. p. 494-498. 9248778. (IEEE PES Innovative Smart Grid Technologies Conference Europe). doi: 10.1109/ISGT-Europe47291.2020.9248778

Improving the AC transmission expansion planning by using initial solutions algorithms

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Use of the alternating current model for Integrated Multi-Capa Planning of the Expansion of Transmission/Subtransmission Lines and Reactive Power Sources in Electric Energy Systems

Cite this

Improving the AC transmission expansion planning by using initial solutions algorithms

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Use of the alternating current model for Integrated Multi-Capa Planning of the Expansion of Transmission/Subtransmission Lines and Reactive Power Sources in Electric Energy Systems

Cite this