Application of Modified ALO to Economic Load Dispatch for Coal Fired Stations
A. V. Sudhakara Reddy1, N. Rajeswaran2, D. Raja Reddy3 

1Dr. A. V. Sudhakara Reddy, Department of E.E.E, Malla Reddy Engineering College(A), Maisammaguda-500100, Hyderabad, India.
2Dr. N. Rajeswaran, E.E.E Department, Malla Reddy Engineering College(A), Maisammaguda, Hyderabad, India.
3Dr. D. Raja Reddy, E.E.E Department, Malla Reddy Engineering College(A), Maisammaguda, Hyderabad, India.

Manuscript received on 08 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 2147-2151 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2359078219 /19©BEIESP | DOI: 10.35940/ijrte.B2359.078219
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Abstract: This manuscript explores the novel Modified Ant Lion (MALO) Optimization to resolve the load dispatch problem optimally. The primary role of Optimal Economic Load Dispatch (OELD) is to obtain an efficient and economical operation of a power system network. The main aim of performing the OELD is for minimizing the fuel cost of the real power generation when the losses are neglected. An Modified Ant Lion (MALO) Optimization is a narrative nature-inspired algorithm and apes the tracking mechanism of ant lions in life. The random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps are the five main steps involved in the hunting process. The principal objective of OELD is to curtail the total generation cost while honoring effective constraints of accessible generating resources. The anticipated Modified ALO technique is utilized on three and six unit test system to various load demands for solving the load dispatch problem economically. A statistical result clarifies that the anticipated MALO method has lowest fuel cost and superior in quality of solution than other optimization techniques accounted in most latest literature.
Index Terms: Modified Ant Lion Optimization, Economic Load Dispatch, Fuel Cost, Different Load Demands, Real Power Generation, Coal Fired Station, Without Losses.

Scope of the Article: Social Sciences