Congestion management by generator real power rescheduling using flower pollination algorithm

Abstract

Deregulation of electric power system has brought complexity in the system, competition among the electricity sellers and buyers which further creates overloading in transmission lines. Congestion occurs when undesirable transaction occurs through transmission lines during the transportation of electricity from generation to load centre. It is the duty of Independent System Operator (ISO) to ensure secure, reliable electricity transaction while facing the transmission congestion threat. This article presents a well known congestion management methodology i.e. rescheduling of generator output power in deregulated electricity market. In this work, firstly generator sensitivity factor (GSF) is calculated and based on these GSF values few generators are selected to reschedule their output for congestion management. A new meta-heuristic algorithm i.e. Flower Pollination Algorithm (FPA) has been adopted to reduce the generator rescheduling cost. The proposed work is verified on IEEE 39 bus New England system.