Congestion management in restructured power systems with economic and technical considerations

Abstract

Restructuring of monopolistic power systems is inevitable in this day and age to cope up with the radical growth of power demand. In developed countries restructuring is already in place while developing countries are getting accustomed to it. Above and beyond the benefits to consumers in terms of economy and quality, there are several challenges prevailing particularly in transmission while exercising deregulation. The foremost challenging task of Independent System Operator (ISO) is managing the transmission line congestion in a deregulated power system. In most of the congestion management techniques, only the economic aspects are considered. This study proposes a technique to manage ongestion considering both the economical and voltage deviation aspects wherein Artificial Bee Colony (ABC) and Fish School Optimization (FSO) algorithms are used for managing congestion. These techniques are implemented in 62 bus Indian utility system and the results are compared with Particle Swarm Optimization (PSO) technique. The minimum voltage deviation for electronic industries and acceptable voltage deviation for high power applications are considered with suitable weighting factors in the objective function.