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

Authors

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

DOI:

https://doi.org/10.37591/.v6i3.3199

Abstract

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 Optimization

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Published

2019-08-17

Issue

Vol. 6 No. 3 (2016)

Section

Research Article

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