Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization

Nor Rul Hasma, Abdullah and Norazizah, Ghazali and Norshafiqah, Ibrahim and Nadiatul Fatini, Solleh and Rosdiyana, Samad and Mahfuzah, Mustafa and Pebrianti, Dwi (2015) Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization. In: International Conference on Electrical, Control and Computer Engineering (INECCE 2015) , 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished)

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Abstract

Nowaday, the demand of the electrical energy is increased due to increment in loading and it is desired to use the existing transmission network to its thermal stability limits. The electrical power system are designed and operated to meet the continuous variation of power demand. The power demand is shared among the generating units and economic of operation is the main consideration in assigning the power to be generated by each generating unit. This paper presents the application Evolutionary Programming (EP), Artificial Immune System (AIS), and Particle Swarm Optimization (PSO) techniques for solving an economic dispatch (ED) problem. The purpose of ED technique in this study mainly to minimize the total generation cost and transmission losses in the system. The proposed optimization technique was validated on 26-bus IEEE Reliability Test System (RTS).

Item Type:	Conference or Workshop Item (Speech)
Uncontrolled Keywords:	Evolutionary Programming, Particle Swarm Optimization, Artificial Immune System, Economic dispatch (ED).
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	23 Nov 2015 02:12
Last Modified:	11 Apr 2018 01:59
URI:	http://umpir.ump.edu.my/id/eprint/11293
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