A Particle Swarm Optimization with Crazy Particles for Non convex and Non smooth Economic Dispatch

Authors

  • Jagrut J. Bhavsar Department of Electrical Engineering, M.E. Pursuing ,Shakalchand Patel College of Engineering Visnagar, 384315, Gujarat, India
  • Nilesh K. Patel Assistant Professor Electrical Engineering Department, Shakalchand Patel College of Engineering, Visnagar,384315, Mehsana, Gujarat, India

Keywords:

Constrained Optimization, economic load dispatch, valve point loading effect, crazy particles, particle swarm optimization, prohibited zones, ramp-rate limits

Abstract

This paper presents a new approach for economic load dispatch (ELD) using particle swarm optimization (PSO) technique with
crazy particles. Conventional methods assume the cost function as quadratic function but modern generation units have much
nonlinearity which makes it inaccurate. Heuristic method like PSO is free from convexity and is succeed to find nearest global
solution. But conventional PSO tend to converge prematurely to a local minimum solution, when search area is irregular. To
solve this problem crazy particles are introduced and the velocities are randomized to find actual global minima. The
performance of the crazy particles PSO tested on two test systems one 3 unit system and second 6 unit system. The comparison
with classical PSO is proposed.

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Published

2015-05-25

How to Cite

Jagrut J. Bhavsar, & Nilesh K. Patel. (2015). A Particle Swarm Optimization with Crazy Particles for Non convex and Non smooth Economic Dispatch . International Journal of Advance Research in Engineering, Science & Technology, 2(5), 256–260. Retrieved from https://ijarest.org/index.php/ijarest/article/view/160

Issue

Vol. 2 No. 5 (2015): Volume: 02, Issue: 05 - May, 2015.

Section

Articles