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Imperialistic competitive algorithm (ICA) is a recently developed meta-heuristic technique that has been successfully implemented for solving various complex optimization problems. Like other meta-heuristic techniques, performance of ICA predominantly depends on the selection of control parameters. However, optimal setting of control parameter for ICA is problem specific. In this paper, a study of...
Economic Load Dispatch (ELD) plays an important role in advanced power system operation and control in recent times. ELD problem was solved by many types of optimization techniques. Here a new optimization method namely Backtracking Search Algorithm (BSA) technique has been used to solve the Economic Load Dispatch problem and compared with Particle Swarm Optimization with Constriction Factor Approach...
Economic Load Dispatch (ELD) is one of the important optimization problem in advanced power system and control. In this paper, six and fifteen generating units in ELD problem has been considered. Prohibited zone and ramp rate limit constraints has been also considered. ELD problem has been solved using three types of optimization techniques. These optimization techniques are Particle Swarm Optimization...
The paper presents Time Varying Acceleration Coefficient Based Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach which is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system. The objective of the hydrothermal scheduling problem is to find out the discharge of hydro plants and power generation of thermal plants to minimize...
Economic load dispatch (ELD) problem plays an important role in power system operation and control today. It is very popular optimization problem in advanced power system. Recently different soft computing techniques are being widely used in many practical applications. Here, fifteen thermal unit system has been considered. This problem has been solved by four types of PSO based optimization problem...
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