A novel method of relieving congestion in hybrid deregulated market utilizing renewable energy sources

Abstract

: This paper presents a congestion management technique in the deregulated power sector by optimally using renewable energy sources (RES). The proposed congestion management problem is formulated to minimize the generator rescheduling cost subjected to the real and reactive power balance, thermal line loading limit, and seasonal and day/night constraints of RES. Optimal selection of conventional and renewable participating generators has been identified by using real and reactive power generator sensitivities and the particle swarm optimization algorithm reduces the alteration of rescheduled values of generator power outputs from base case generation levels. The RES participation along with the seasonal and time variation is the pioneering topic in congestion management that has been studied in this work. The practical Indian Tamil Nadu 106-bus system has been analyzed to illustrate the proposed energy-saving technique. The results confirm the benefits of RES as the number of generators required for rescheduling as well as the rescheduling amount have been reduced predominantly when involving RES for rescheduling.