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

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Abstract

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.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Theni Kammavar Sangam College of Technology, Theni, Tamil Nadu, 625534, India

    K. Kathiravan

  2. Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, 626005, India

    N. Rathina Prabha

Authors
  1. K. Kathiravan
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  2. N. Rathina Prabha
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Correspondence to K. Kathiravan.

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Kathiravan, K., Rathina Prabha, N. Assessment of ramping cost for independent power producers using firefly algorithm and gray wolf optimization. Cluster Comput 22 (Suppl 2), 4479–4490 (2019). https://doi.org/10.1007/s10586-018-2045-y

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  • DOI: https://doi.org/10.1007/s10586-018-2045-y

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