Bio Inspired Mutation based CFPSO to Optimize Size and Location of FACTS Device Under Generator Contingency

Abstract

Reactive power is associated with voltage parameter. This parameter is a major
concern in power systems due to unbalance between power generation and power
demand. Due to accumulate in electricity demand, power loss and various factors; modern
power system networks are being operated under highly stressed conditions. To meet
reactive power requirement and maintaining the bus voltage within acceptable limits, the
contribution of Flexible AC Transmission Systems (FACTS) controllers (Static Synchronous
COMpensator (STATCOM) are vital. In this research work, the feeble buses under single
generator contingency were recognized to uphold the reactive power compensators by
executing new index approaches. The location and rating of STATCOM are the significant
parameters, affecting network loss reduction and improving network performance. In this
article, an investigation is accomplished to fix appropriate location and rating STATCOM to
optimize the multi objective function as stated by bio inspired Gaussian mutation based
Constriction Factor Particle Swarm Optimization (GM-CFPSO). Matlab/Simulink associated
simulations confirmed the effectiveness of the proposed approach on IEEE 14 bus systems.
The findings of the simulation revealed that, the optimum placing and sizing of STATCOM
improved greatly the voltage stability margin and curtailment in power loss of the
network.