Application of ALO to Economic Load Dispatch Without Network Losses for Different Conditions

This manuscript explores the novel Ant Lion optimization (ALO) 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. Ant lion optimization (ALO) 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 minimize total cost of generation while honoring effective constraints of available generation resources. The anticipated 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 illustrates that the anticipated method has lowest fuel cost and superior in quality of solution than other optimization techniques accounted in most latest literature.