An Efficient Novel TANAN‘s Algorithm for Solving Economic Load Dispatch Problems
1R.Subramanian, Associate Professor/EEE, Akshaya College of Engineering and Technology, Coimbatore, INDIA.
2Dr.K.Thanushkodi , Director, Akshaya College of Engineering and Technology, Coimbatore, INDIA.
Manuscript received on June 03, 2013. | Revised Manuscript received on June 29, 2013. | Manuscript published on July 05, 2013. | PP: 215-219 | Volume-3 Issue-3, July 2013. | Retrieval Number: C1693073313/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Economic Load Dispatch (ELD) problems in power generation systems is to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Novel TANAN’s Algorithm (NTA), for solving ELD Problem. The main objective is to minimize the total fuel cost of the generating units having quadratic cost characteristics subjected to limits on generator true power output and transmission losses and including valve point loading effects. The NTA is a simple numerical approach based on a parabolic TANAN function. This paper presents an application of NTA to ELD for different IEEE standard test systems. ELD is applied and compared with various optimization techniques. The simulation results show that the proposed algorithm outperforms previous optimization methods.
Keywords: Economic Load dispatch, Evolutionary Programming (EP), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Taguchi Method(TM).