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Performance comparison using firefly and PSO algorithms on congestion management of deregulated power market involving renewable energy sources

  • D. Fathema FarzanaEmail author
  • K. Mahadevan
Methodologies and Application
  • 7 Downloads

Abstract

The power industry across the globe is subjected to a sweeping change in its business as well as in an operating model where the monopoly utilities are being liberalized and opened up for competition with private players. As an outcome of this, the transmission corridors evacuating the power of inexpensive generators would be burdened if all such transactions are admitted. One of the most proficient techniques for congestion management is rescheduling the generators. This research paper suggests a framework to regulate the power flows of the transmission lines within the stipulated limit in a deregulated electricity market environment through rescheduling with and without renewable energy sources (RES). The problem of rescheduling is framed with the intention of lessening the congestion cost. Unlike the traditional method, the best location for the placement of RES is established utilizing a novel weighted locational marginal price (LMP)-based method. The firefly algorithm (FA) and particle swarm optimization (PSO) algorithm are employed in order to get optimized results. The realistic cases are considered, and the results obtained with and without RES using FA and PSO are compared to prove the research study. The efficacy of the method is explored with IEEE 30-bus system.

Keywords

Congestion management Deregulated power market Locational marginal price Rescheduling of generators Renewable energy sources Firefly algorithm Particle swarm optimization 

Notes

Compliance with ethical standards

Conflict of interest

We declare that we have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringVelammal College of Engineering and TechnologyMaduraiIndia
  2. 2.Department of Electrical and Electronics EngineeringPSNA College of Engineering and TechnologyDindigulIndia

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