Abstract
This paper introduces an improved particle swarm
optimization to solve economic dispatch problems involving
numerous constraints. Depending on the type of generating units,
there are optimization constraints and practical operating
constraints of generators such as prohibited operating zones and
ramp rate limits. The algorithm is a hybrid technique made up of
particle swarm optimization and bat algorithm. Particle swarm
optimization as the main algorithm integrates bat algorithm in
order to boost its velocity and adjust the improved solution. The
new technique is firstly tested on five different cases of economic
dispatch problems comprising 6, 13, 15, 40 and 140 generating
units. The simulation results show that it performs better than
both particle swarm and bat technique.