Active and reactive power rescheduling for congestion management using particle swarm optimization

In the competitive electricity market, it is not always possible to discharge all of the contracted power transactions due to congestion in the transmission lines. In most cases, Independent System Operator tries to remove congestion by rescheduling output power of the generators. In this research paper, active and reactive power generator sensitivity factors of the generators to the congested lines have been used to determine the number of generators participating in congestion management. Secondly, Particle Swarm Optimization (PSO) based algorithm has been suggested to minimize the deviations of rescheduled values of active and reactive powers of generators from scheduled values, considering voltage stability enhancement and voltage profile improvement criteria. Thus, rescheduling cost of active power and reactive power were minimized by PSO. The proposed algorithm has been tested on IEEE 30 bus system and results obtained have been compared with previous literature in terms of solution quality.