Cluster Computing

, Volume 22, Supplement 2, pp 4479–4490 | Cite as

Assessment of ramping cost for independent power producers using firefly algorithm and gray wolf optimization

  • K. KathiravanEmail author
  • N. Rathina Prabha


In Deregulated Environment, all the independent power producers (IPP) are clustered in nature and they were operated in unison condition to meet out the cluster load demand of various levels of consumers in continuous 24 hours horizon. These IPP were respond and reschedule their clustered operating units with time confine among the reliant conditions like incremental in overall consumer demand, credible contingency and wheeling trades. Amid this process, the ramping cost is acquired during the incidence of any infringement in the secured elastic limit or Ramp rate limits. In this paper, optimal operating cost of the independent power producer is incurred with ramping cost considering stepwise and piecewise slope ramp rate utilizing firefly algorithm and Gray wolf optimization algorithm. Optimal power flow is carried out for the three standard test systems: five, six and ten power producers are having secured elastic limits are taken for computation in Matlab environment.


Firefly algorithm Gray wolf optimization Piecewise linear ramp rate Independent power producer Optimal power flow Ramp rate limits 


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringTheni Kammavar Sangam College of TechnologyTheniIndia
  2. 2.Department of Electrical and Electronics EngineeringMepco Schlenk Engineering CollegeSivakasiIndia

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