Optimization of real power generation plants for power loss minimization and voltage profile improvement using Krill herd algorithm

Reduction of generation cost and transmission losses is one of the most important issues of today´s power systems. In this paper, a multi- objective optimal power flow using a biologically inspired, Krill herd (KH) Search Algorithm has been proposed. Unified Power Flow Controller (UPFC) is a multilateral device in the Flexible Alternating Current Transmission System (FACTS) family which has the capability of controlling power system parameters like line reactance, voltage magnitude and phase angle either independently or collectively. The effectiveness of Krill herd (KH) algorithm is tested on IEEE 14 bus test system with the presence of UPFC for real power losses minimization and voltage deviation minimization as objective function and the results are presented and analyzed. The results of Krill herd algorithm are also compared with genetic algorithm with and without UPFC to establish the efficiency of the proposed algorithm.