*Department of Electrical and Electronics Engineering, Sasurie Academy of Engineering, Coimbatore, Tamilnadu, India
**Department of Electrical and Electronics Engineering, Holycross Engineering College, Tuticorin, Tamilnadu, India
***Department of Electrical and Electronics Engineering, Axis College of Engineering & Technology, Thrissur, Kerala, India
Online published on 1 June, 2016.
The electric power generation system has always the significant location in the power system, it should have an efficient and economic operation. This consists of the generating unit's allocation with minimum fuel cost and also considers the emission cost. This paper presents a new optimization algorithm named Gauss Newton based genetic algorithm, to solve Economic load dispatch and Emission Dispatch. Economic load dispatch is an important optimization problem to schedule the generation among generating units in power system. Due to the harmful effects of the emission released by fossil fueled electric power plants, along with economic dispatch and emission dispatch plays an important role in power industry. The main objective of the paper is to minimize the total fuel cost and the emission cost. In this paper Gauss Newton method is added to the genetic algorithm for improving the speed of optimization. The proposed framework is applied to 40 unit test systems in order to evaluate its optimized result with better computational efficiency.
Dynamic Economic Dispatch, Genetic Algorithm, Gauss Newton, Economic Dispatch, Modified Teaching Learning Algorithm
