Comparative Study of Economic Dispatch by Using Various Optimization Techniques

Hong, Mee Song and M. H., Sulaiman and Mohd Rusllim, Mohamed and Wong, Lo Ing (2014) Comparative Study of Economic Dispatch by Using Various Optimization Techniques. In: 2nd Power and Energy Conversion Symposium (PECS) 2014, 12 May 2014 , UTeM Melaka. pp. 1-4.. (Unpublished)


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This paper presents various optimization techniques to solve the problem of Economic Dispatch (ED). The optimization techniques used in this paper to do the comparison are Quadratic Programming (QP), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Differential Evolution (DE) and Genetic Algorithm (GA). The objective of Economic Dispatch is to minimize the fuel cost at the same time to determine the optimum power generation. Optimization technique is used for ED so that the better convergence could be approached to solve the problem effectively as well as by considering the constraints. To do the comparison, the six generating unit system was used and the experimental results are compared. The experimental result indicates that the Differential Evolution is the most efficient technique compared to others in terms of fuel cost and total losses.

Item Type: Conference or Workshop Item (Speech)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 28 May 2014 08:48
Last Modified: 07 Mar 2018 03:35
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