Modified iteration particle swarm optimization procedure for economic dispatch solving with non-smooth and non-convex fuel cost function

This paper proposes a novel technique named modified iteration particle swarm optimization for finding possible optimal solution in the economic load dispatch problem considering non-convex and non-smooth fuel cost function. Many constrains such as ramp rate limits, transmission losses and prohibited operating zones are considered. The valve point effects with nonlinear cost function in non-convex economic dispatch are also considered. Classical particle swarm optimization (CPSO) highly depends on its parameters and often suffers from being involved in local optima. The proposed approach incorporates two new index named “first iteration best” and “second iteration best” in CPSO. It results that searching behavior is enhanced and solution quality is promoted. To ensure the efficiency of the proposed approach, it is applied for four test system including 3, 6, 13 and 15 units. From the simulation results, the capabilities and effectiveness of the proposed approach compared with existing methods is confirmed.