Dispatching Economically Restricted Loads Using a Biogeography- Based Optimization Algorithm and an Improved Harmony Search Algorithm

Abstract

HSA, IHS, and BBO algorithms are compared in this work for handling restricted economic load
dispatch issues in a power system with a limited number of available resources. New solution
vectors are generated using the IHS algorithm, which makes use of numerous harmony memory
consideration rates and dynamic pitch adjustment rates. They were tested in a test system with
twenty producing units with ramp rate restrictions and valve point loading constraints, and the
algorithms worked well. IHS approach outperforms both Harmony search and Biogeographybased
optimization algorithm in terms of total fuel cost and convergence characteristics, as
shown by the simulation results.