Congestion management in deregulated power system incorporating soft computing techniques [articol]

Abstract

In the competing power market, congestion is one of the technical concerns in transmission lines which threaten the system security. Its solution technique, congestion management is the most significant element of Independent System Operator (ISO). It is the responsibility of ISO to endorse a corrective action so as to alleviate congestion without disturbing the security of the system. Besides, the problem of congestion contributes to the electricity price surge that propagate incompetent market environment. Thus,the need for an exceptional solution technique that would take care ofall the risks in the power market,has become the need of the hour. One such solution methodology is proposed in this paper. Here, an optimization based solution methodology to relieve congestion both by rescheduling the generation as well as locating series FACTS device, Thyristor Controlled Series Compensator (TCSC) in the congested line is discussed. The proposed objective function being non-linear, is solved using Particle Swarm Optimization (PSO) and Biogeography Based Krill Herd (BBKH) algorithms. The effectiveness of both the optimization techniqueswas compared to various parameters. The proposed objective wasverified on IEEE 30 bus and Indian Utility 75 bus systems.