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Research Paper | Electrical Engineering | India | Volume 6 Issue 8, August 2017 | Rating: 6.6 / 10

Congestion Management in Dergulated Market along with the Promotion of Renewable Energy Resources Using PeSOA Optimisation

Ravish Yadav

Abstract: As we have seen that the load demand is increasing day by day & also due to massive demand there is the competition among the generating companies (GENCOS). Due to the high demand losses are increasing because lines are operation beyond their limits i. e. thermal, voltage, stability limits, thus violating the stability constraints so called congestion. To fulfill this massive load demand we cannot replace the whole transmission system as it incurs high cost, so what we can do is to find out the ways which can reduce congestion. So in this paper we have used PeSOA ( Penguin search optimization algorithm) to reduce congestion on IEEE-30 bus system & its comparison to PSO (Particle swarm optimization). Although PSO also reduces congestion but PeSOA is better than PSO, as can be seen from results.

Keywords: GENCO, Non-linear programming, Congestion Management, PeSOA Penguin search Optimization algorithm, PSO Particle Swarm Optimization

Edition: Volume 6 Issue 8, August 2017,

Pages: 862 - 867