Temperature Dependent Optimal Power Flow using gbest-Guided Artificial Bee Colony Algorithm

  • Bamane P
  • Kshirsagar A
  • Raj S
 et al. 
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Abstract

A branch resistance of a test system is considered as a constant term in classical power flow calculation in fact the resistance varies with temperature so as branch power and losses. To improve accuracy of power flow calculation, corrected resistance for respective temperature must be considered. The Optimal Power Flow for a practical power system is complex optimization problem. The heuristic methods are more efficient over classical optimization numerical methods to solve optimal power flow problem. So, this paper presents a heuristic, efficient and effective gbest-guided artificial bee colony algorithm to solve temperature dependent optimal power flow. This algorithm has been tested on IEEE 30 bus test system. Numerical results obtained after investigation are compared with optimal power flow without considering the effect of temperature.

Author-supplied keywords

  • Optimal power flow (OPF)
  • Optimization
  • Power Flow
  • Temperature Dependent Optimal Power Flow (TDOPF)
  • gbest-Guided Artificial Bee Colony Algorithm (GABC

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Authors

  • P. D. Bamane

  • A. N. Kshirsagar

  • Shubham Raj

  • H. T. Jadhav

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