Economic Dispatch Optimization for Thermal Power Plants in Iraq

Mohammed Al-Jumaili; Javad Rahebi; Ayhan Akbas; Ali Farzamnia

doi:10.1109/I2CACIS.2017.8239047

Economic Dispatch Optimization for Thermal Power Plants in Iraq

Mohammed Al-Jumaili, Javad Rahebi, Ayhan Akbas, Ali Farzamnia

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

8 Citations (Scopus)

Abstract

In this paper, the Economic Power Dispatch (EPD) of the thermal power plants in Iraq is studied. The main goal of this study is to minimize the high fuel costs of the Iraqi power generation system by controlling the outputs for each generating unit via the optimization algorithms. Though the Iraqi network is composed of the total 31 thermal units, it is considered as a large-scale system, and the actual number of units that are synchronized with the network is limited to 19 units only. Particle Swarm Optimization (PSO) is proposed as a solution to be employed to solve the EPD challenge for the Iraqi network. PSO is applied to the thermal units of Iraqi network with quadratic form of fuel equations. The result of the PSO algorithm obtained has been compared with outputs of other algorithms, including Genetic Algorithm (GA) and Novel Bat algorithm (NBA).

Original language	English
Title of host publication	Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	140-143
Number of pages	4
ISBN (Electronic)	9781538608463, 9781538608456
ISBN (Print)	9781538608470
DOIs	https://doi.org/10.1109/I2CACIS.2017.8239047
Publication status	Published - 25 Dec 2017
Externally published	Yes
Event	2nd IEEE International Conference on Automatic Control and Intelligent Systems - Kota Kinabalu, Sabah, Malaysia Duration: 21 Oct 2017 → 21 Oct 2017 Conference number: 2

Conference

Conference	2nd IEEE International Conference on Automatic Control and Intelligent Systems
Abbreviated title	I2CACIS 2017
Country/Territory	Malaysia
City	Kota Kinabalu, Sabah
Period	21/10/17 → 21/10/17

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Cite this

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title = "Economic Dispatch Optimization for Thermal Power Plants in Iraq",

abstract = "In this paper, the Economic Power Dispatch (EPD) of the thermal power plants in Iraq is studied. The main goal of this study is to minimize the high fuel costs of the Iraqi power generation system by controlling the outputs for each generating unit via the optimization algorithms. Though the Iraqi network is composed of the total 31 thermal units, it is considered as a large-scale system, and the actual number of units that are synchronized with the network is limited to 19 units only. Particle Swarm Optimization (PSO) is proposed as a solution to be employed to solve the EPD challenge for the Iraqi network. PSO is applied to the thermal units of Iraqi network with quadratic form of fuel equations. The result of the PSO algorithm obtained has been compared with outputs of other algorithms, including Genetic Algorithm (GA) and Novel Bat algorithm (NBA).",

keywords = "Economic Power Dispatch, Particle Swarm Optimization",

author = "Mohammed Al-Jumaili and Javad Rahebi and Ayhan Akbas and Ali Farzamnia",

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Al-Jumaili, M, Rahebi, J, Akbas, A & Farzamnia, A 2017, Economic Dispatch Optimization for Thermal Power Plants in Iraq. in Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017., 8239047, Institute of Electrical and Electronics Engineers Inc., pp. 140-143, 2nd IEEE International Conference on Automatic Control and Intelligent Systems, Kota Kinabalu, Sabah, Malaysia, 21/10/17. https://doi.org/10.1109/I2CACIS.2017.8239047

Economic Dispatch Optimization for Thermal Power Plants in Iraq. / Al-Jumaili, Mohammed; Rahebi, Javad; Akbas, Ayhan et al.

Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 140-143 8239047.

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

TY - GEN

T1 - Economic Dispatch Optimization for Thermal Power Plants in Iraq

AU - Al-Jumaili, Mohammed

AU - Rahebi, Javad

AU - Akbas, Ayhan

AU - Farzamnia, Ali

N1 - Conference code: 2

PY - 2017/12/25

Y1 - 2017/12/25

N2 - In this paper, the Economic Power Dispatch (EPD) of the thermal power plants in Iraq is studied. The main goal of this study is to minimize the high fuel costs of the Iraqi power generation system by controlling the outputs for each generating unit via the optimization algorithms. Though the Iraqi network is composed of the total 31 thermal units, it is considered as a large-scale system, and the actual number of units that are synchronized with the network is limited to 19 units only. Particle Swarm Optimization (PSO) is proposed as a solution to be employed to solve the EPD challenge for the Iraqi network. PSO is applied to the thermal units of Iraqi network with quadratic form of fuel equations. The result of the PSO algorithm obtained has been compared with outputs of other algorithms, including Genetic Algorithm (GA) and Novel Bat algorithm (NBA).

AB - In this paper, the Economic Power Dispatch (EPD) of the thermal power plants in Iraq is studied. The main goal of this study is to minimize the high fuel costs of the Iraqi power generation system by controlling the outputs for each generating unit via the optimization algorithms. Though the Iraqi network is composed of the total 31 thermal units, it is considered as a large-scale system, and the actual number of units that are synchronized with the network is limited to 19 units only. Particle Swarm Optimization (PSO) is proposed as a solution to be employed to solve the EPD challenge for the Iraqi network. PSO is applied to the thermal units of Iraqi network with quadratic form of fuel equations. The result of the PSO algorithm obtained has been compared with outputs of other algorithms, including Genetic Algorithm (GA) and Novel Bat algorithm (NBA).

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KW - Particle Swarm Optimization

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BT - Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017

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Economic Dispatch Optimization for Thermal Power Plants in Iraq

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