Application of particle swarm optimisation for relieving congestion in deregulated power system

This paper presents a Swarm intelligence based Optimization technique to manage congestion in power system networks with transmission line overload. To maintain all the power transaction requests, line congestion in deregulated systems is almost inevitable which may degrade the system stability, security and reliability by additional line outages. In practice System Operators (SO) charge additional price known as congestion management charge against line limit violation. Thus, restricting power flows within the safe limits is important from stability as well as economy point of view. The algorithm proposed in the present paper uses a standard congestion sensitivity Index to identify the congested lines in a large power network and optimizes `congestion management charge' without any load curtailment and installation of FACTS devices. The operating conditions with the proposed methodology have been demonstrated to be subjected to an improvement with reference to conventional method. The applicability of the proposed methodology has been presented on IEEE 30 bus benchmark system.