Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2)

Muhammad Tami Al-Hajri; M. A. Abido

doi:10.1109/ISDA.2011.6121805

Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2)

Muhammad Tami Al-Hajri^*, M. A. Abido

^*Corresponding author for this work

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

13 Scopus citations

Abstract

In this paper Improved Strength Pareto Evolutionary Algorithm (SPEA2) is presented and developed for Multiobjective Optimal Power Flow (OPF) problem. The generation OPF optimization problem is formulated as a nonlinear constrained multiobjective problem where the generation real power and the system voltage stability are optimized concurrently. Truncation algorithms are used to manage the Pareto-Optimal set size. The best compromise solution is extracted using fuzzy set theory. The SPEA2 performance results were compared to Strength Pareto Evolutionary Algorithm (SPEA) performance results. The results exhibit the capabilities of the proposed approach in produce well-distributed Pareto-optimal solutions for the subject multiobjective OPF optimization problem.

Original language	English
Title of host publication	Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11
Pages	1097-1103
Number of pages	7
DOIs	https://doi.org/10.1109/ISDA.2011.6121805
State	Published - 2011

Publication series

Name	International Conference on Intelligent Systems Design and Applications, ISDA
ISSN (Print)	2164-7143
ISSN (Electronic)	2164-7151

Keywords

Evolutionary Algorithms
Improved Strength Pareto Evolutionary Algorithms (SPEA2)
Multiobjective Optimization
Strength Pareto Evolutionary Algorithms (SPEA)

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Signal Processing
Control and Systems Engineering

Access to Document

10.1109/ISDA.2011.6121805

Cite this

Al-Hajri, M. T., & Abido, M. A. (2011). Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2). In Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11 (pp. 1097-1103). Article 6121805 (International Conference on Intelligent Systems Design and Applications, ISDA). https://doi.org/10.1109/ISDA.2011.6121805

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title = "Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2)",

abstract = "In this paper Improved Strength Pareto Evolutionary Algorithm (SPEA2) is presented and developed for Multiobjective Optimal Power Flow (OPF) problem. The generation OPF optimization problem is formulated as a nonlinear constrained multiobjective problem where the generation real power and the system voltage stability are optimized concurrently. Truncation algorithms are used to manage the Pareto-Optimal set size. The best compromise solution is extracted using fuzzy set theory. The SPEA2 performance results were compared to Strength Pareto Evolutionary Algorithm (SPEA) performance results. The results exhibit the capabilities of the proposed approach in produce well-distributed Pareto-optimal solutions for the subject multiobjective OPF optimization problem.",

keywords = "Evolutionary Algorithms, Improved Strength Pareto Evolutionary Algorithms (SPEA2), Multiobjective Optimization, Strength Pareto Evolutionary Algorithms (SPEA)",

author = "Al-Hajri, \{Muhammad Tami\} and Abido, \{M. A.\}",

year = "2011",

doi = "10.1109/ISDA.2011.6121805",

language = "English",

isbn = "9781457716751",

series = "International Conference on Intelligent Systems Design and Applications, ISDA",

pages = "1097--1103",

booktitle = "Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11",

}

Al-Hajri, MT & Abido, MA 2011, Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2). in Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11., 6121805, International Conference on Intelligent Systems Design and Applications, ISDA, pp. 1097-1103. https://doi.org/10.1109/ISDA.2011.6121805

Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2). / Al-Hajri, Muhammad Tami; Abido, M. A.
Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11. 2011. p. 1097-1103 6121805 (International Conference on Intelligent Systems Design and Applications, ISDA).

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

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T1 - Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2)

AU - Al-Hajri, Muhammad Tami

AU - Abido, M. A.

PY - 2011

Y1 - 2011

N2 - In this paper Improved Strength Pareto Evolutionary Algorithm (SPEA2) is presented and developed for Multiobjective Optimal Power Flow (OPF) problem. The generation OPF optimization problem is formulated as a nonlinear constrained multiobjective problem where the generation real power and the system voltage stability are optimized concurrently. Truncation algorithms are used to manage the Pareto-Optimal set size. The best compromise solution is extracted using fuzzy set theory. The SPEA2 performance results were compared to Strength Pareto Evolutionary Algorithm (SPEA) performance results. The results exhibit the capabilities of the proposed approach in produce well-distributed Pareto-optimal solutions for the subject multiobjective OPF optimization problem.

AB - In this paper Improved Strength Pareto Evolutionary Algorithm (SPEA2) is presented and developed for Multiobjective Optimal Power Flow (OPF) problem. The generation OPF optimization problem is formulated as a nonlinear constrained multiobjective problem where the generation real power and the system voltage stability are optimized concurrently. Truncation algorithms are used to manage the Pareto-Optimal set size. The best compromise solution is extracted using fuzzy set theory. The SPEA2 performance results were compared to Strength Pareto Evolutionary Algorithm (SPEA) performance results. The results exhibit the capabilities of the proposed approach in produce well-distributed Pareto-optimal solutions for the subject multiobjective OPF optimization problem.

KW - Evolutionary Algorithms

KW - Improved Strength Pareto Evolutionary Algorithms (SPEA2)

KW - Multiobjective Optimization

KW - Strength Pareto Evolutionary Algorithms (SPEA)

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U2 - 10.1109/ISDA.2011.6121805

DO - 10.1109/ISDA.2011.6121805

M3 - Conference contribution

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SN - 9781457716751

T3 - International Conference on Intelligent Systems Design and Applications, ISDA

SP - 1097

EP - 1103

BT - Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11

ER -

Al-Hajri MT, Abido MA. Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2). In Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11. 2011. p. 1097-1103. 6121805. (International Conference on Intelligent Systems Design and Applications, ISDA). doi: 10.1109/ISDA.2011.6121805

Multiobjective optimal power flow using Improved Strength Pareto Evolutionary Algorithm (SPEA2)

Abstract

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