Application of Accelerated PSO and ANN for optimal Scheduling of Hydrothermal System

Autores/as

  • S. K. Gupta Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India
  • Manisha Malik Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India
  • Diksha Gupta Department of Electrical Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra Haryana, India

Palabras clave:

Hydrothermal scheduling, Particle Swarm Optimization, Artificial Neural Network, Accelerated Particle Swarm Optimization

Resumen

A short range problem of hydrothermal scheduling of hydrothermal system with cascaded is analyzed in this paper.  The net head, water discharge rate and water transport delay between connected reservoirs is considered in the problem. The developed algorithm is demonstrated on a test system consisting one thermal plant and four cascaded hydro plants. The results obtained by the APSO technique are compared to PSO and conventional technique. It is found that result obtained by APSO approach is superior in term of fuel cost and lesser computational time. The results of PSO, APSO and conventional technique are taking as inputs for the training to ANN system. ANN provides better result as comparison of PSO, APSO and conventional technique.  Keywords: Hydrothermal scheduling, Particle Swarm Optimization, Artificial Neural Network, Accelerated Particle Swarm OptimizationCite this Article Gupta SK, Manisha Malik, Diksha Gupta. Application of Accelerated PSO and ANN for optimal Scheduling of Hydrothermal System. Journal of Power Electronics and Power Systems. 2016; 6(3): 42–52p.

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Publicado

2016-12-05

Número

Vol. 6 Núm. 3 (2016)

Sección

Research Articles

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