Magnetotactic Bacteria Moment Migration Optimization Algorithm for Generators Real-Power Rescheduling in Deregulated Power System

摘要

In deregulated competitive electricity scenario, the transmission network congestion is the most important challenging issue to control and operate the transmission network within reliable limits. This work introduces a novel approach to magnetotactic bacteria moment migration optimizationalgorithm (MBMMOA) for real-power rescheduling of generators with congestion management (CM). The MBMMOA is a kind of new bionic optimization algorithm with moments of magnetosomes along the magnetic field of lines of the earth as a base. The suggested algorithm effectively applied on smallas well as large IEEE-bus Network Topologies. In this work, voltage, line and loading limits considered for transmission network safety. The proposed techniques give superior results compared than the other techniques such as SA, RSM, PSO, SA etc. for the optimal power flow issues.