Adaptive Teaching Learning Based Optimization Applied to Nonlinear Economic Load Dispatch Problem

Sk Md Ali Bulbul and Provas Kumar Roy
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Sk Md Ali Bulbul: Department of Electrical and Electronics Engineering, Bengal College of Engineering and Technology, West Bengal, India
Provas Kumar Roy: Department of Electrical Engineering, Jalpaiguri Government Engineering College, West Bengal, India

International Journal of Swarm Intelligence Research (IJSIR), 2014, vol. 5, issue 4, 1-16

Abstract: Economic load dispatch (ELD) is a process of calculating real power dispatch by satisfying a set of constraints such a way as fuel cost can be minimized. Inclusion of the effect of valve-points and prohibited operation zones (POZs) in the cost functions make ELD problem a non-linear and non-convex one. For solving ELD in power system a newly proposed evolutionary technique namely adaptive teaching learning based optimization (ATLBO) is presented in this article. TLBO mimics the influence of a teacher on students in a classroom environment by social interaction. ATLBO is an improved version of TLBO which makes TLBO faster and more robust. An adaptive dynamic parameter control mechanism is adopted by the proposed ATLBO algorithm to determine the suitable parameter settings for teaching and learning phases of TLBO algorithm. The proposed ATLBO algorithm is tested in three different cases like 10-unit, 40-unit, and 80-unit systems. A comparison of numerical results with other well established techniques reveals optimization superiority of the proposed scheme both in quality of solution and computational efficiency.

Date: 2014
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