A Hybrid Flower Pollination Algorithm with Sequential Quadratic Programming Technique for Solving Dynamic Combined Economic Emission Dispatch Problem

  • Rabia Noreen Gul Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila, Pakistan.
  • Aftab Ahmad Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila, Pakistan.
  • Saqib Fayyaz Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila, Pakistan.
  • Muhammad Kashif Sattar Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila, Pakistan.
  • Syed Saddam ul Haq Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila, Pakistan.

Abstract

This paper presents the solution of highly complex, non-linear, multi-objective Dynamic Combined Economic Emission Dispatch (DCEED) problem. DCEED is a power system optimization problem with conflicting objectives of fuel cost and emission. DCEED includes constraints like valve point loading effect, Transmission Losses and Ramp Rate limits. Solution of DCEED problem is given by a novel Hybridized Flower Pollination Algorithm (FPA) with Sequential Quadratic Programming (SQP). FPA is a nature inspired population based meta-heuristic optimization technique that models its search on the flower pollination process. The non-convex nature of generation because of numerous operational, physical and dynamic constraints, makes search space highly multi model and complex. This makes DCEED a challenging as well as an attractive problem for research. The effectiveness of FPA-SQP is tested and validated by applying it on IEEE Standard 5-unit and 10- unit non-convex test system in MATLAB environment for the time interval of 24 hours. The results achieved by this algorithm show significant reduction in cost and emission as compared to other available techniques in the literature.

Published
Apr 1, 2021
How to Cite
GUL, Rabia Noreen et al. A Hybrid Flower Pollination Algorithm with Sequential Quadratic Programming Technique for Solving Dynamic Combined Economic Emission Dispatch Problem. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 40, n. 2, p. 371 - 382, apr. 2021. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/2092>. Date accessed: 15 apr. 2021. doi: http://dx.doi.org/10.22581/muet1982.2102.11.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License