Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm

Mikail Purlu; Belgin Emre Turkay

doi:10.1109/CEIT.2018.8751770

Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm

Mikail Purlu, Belgin Emre Turkay

Department of Electrical Engineering

Istanbul Technical University

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

6 Citations (Scopus)

Abstract

This paper presents Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) technique to solve dynamic economic dispatch (DED) problem. The main purpose of DED is to minimize total cost of generation power to take care of the various load demand in each hour. DED problem solution also must provide individual inequality and equality constraints at the same time. The algorithms have been applied to two test system, taking into account transmission losses. The first of the selected systems is 3 unit test system and the second is 10 unit system considering the valve point effect. Simulation results applied on the test systems show that the two algorithms obtained optimal and reliable results compared to the other methods used in the literature.

Original language	English
Title of host publication	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
Editors	Seref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538676417
DOIs	https://doi.org/10.1109/CEIT.2018.8751770
Publication status	Published - Oct 2018
Event	6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Turkey Duration: 25 Oct 2018 → 27 Oct 2018

Publication series

Name	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

Conference

Conference	6th International Conference on Control Engineering and Information Technology, CEIT 2018
Country/Territory	Turkey
City	Istanbul
Period	25/10/18 → 27/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Dynamic economic dispatch
Genetic algorithm
Particle swarm optimization
Valve point effect

Access to Document

10.1109/CEIT.2018.8751770

Cite this

Purlu, M., & Turkay, B. E. (2018). Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm. In S. N. Engin, D. O. Arisoy, & M. A. Oz (Eds.), 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018 Article 8751770 (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEIT.2018.8751770

Purlu, Mikail ; Turkay, Belgin Emre. / Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm. 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. editor / Seref Naci Engin ; Dogan Onur Arisoy ; Muhammed Ali Oz. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018).

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title = "Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm",

abstract = "This paper presents Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) technique to solve dynamic economic dispatch (DED) problem. The main purpose of DED is to minimize total cost of generation power to take care of the various load demand in each hour. DED problem solution also must provide individual inequality and equality constraints at the same time. The algorithms have been applied to two test system, taking into account transmission losses. The first of the selected systems is 3 unit test system and the second is 10 unit system considering the valve point effect. Simulation results applied on the test systems show that the two algorithms obtained optimal and reliable results compared to the other methods used in the literature.",

keywords = "Dynamic economic dispatch, Genetic algorithm, Particle swarm optimization, Valve point effect",

author = "Mikail Purlu and Turkay, {Belgin Emre}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on Control Engineering and Information Technology, CEIT 2018 ; Conference date: 25-10-2018 Through 27-10-2018",

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series = "2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Purlu, M & Turkay, BE 2018, Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm. in SN Engin, DO Arisoy & MA Oz (eds), 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018., 8751770, 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Institute of Electrical and Electronics Engineers Inc., 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Istanbul, Turkey, 25/10/18. https://doi.org/10.1109/CEIT.2018.8751770

Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm. / Purlu, Mikail; Turkay, Belgin Emre.
2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. ed. / Seref Naci Engin; Dogan Onur Arisoy; Muhammed Ali Oz. Institute of Electrical and Electronics Engineers Inc., 2018. 8751770 (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018).

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

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AU - Purlu, Mikail

AU - Turkay, Belgin Emre

PY - 2018/10

Y1 - 2018/10

N2 - This paper presents Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) technique to solve dynamic economic dispatch (DED) problem. The main purpose of DED is to minimize total cost of generation power to take care of the various load demand in each hour. DED problem solution also must provide individual inequality and equality constraints at the same time. The algorithms have been applied to two test system, taking into account transmission losses. The first of the selected systems is 3 unit test system and the second is 10 unit system considering the valve point effect. Simulation results applied on the test systems show that the two algorithms obtained optimal and reliable results compared to the other methods used in the literature.

AB - This paper presents Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) technique to solve dynamic economic dispatch (DED) problem. The main purpose of DED is to minimize total cost of generation power to take care of the various load demand in each hour. DED problem solution also must provide individual inequality and equality constraints at the same time. The algorithms have been applied to two test system, taking into account transmission losses. The first of the selected systems is 3 unit test system and the second is 10 unit system considering the valve point effect. Simulation results applied on the test systems show that the two algorithms obtained optimal and reliable results compared to the other methods used in the literature.

KW - Dynamic economic dispatch

KW - Genetic algorithm

KW - Particle swarm optimization

KW - Valve point effect

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BT - 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

A2 - Engin, Seref Naci

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PB - Institute of Electrical and Electronics Engineers Inc.

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Purlu M, Turkay BE. Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm. In Engin SN, Arisoy DO, Oz MA, editors, 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8751770. (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018). doi: 10.1109/CEIT.2018.8751770

Dynamic economic dispatch with valve point effect by using GA and PSO Algorithm

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Keywords

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