Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm

  • Anum Abid Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan.
  • Tahir Nadeem Malik Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan.
  • Muhammad Mansoor Ashraf Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan.

Abstract

ED (Economic Dispatch) problem is one of the vital step in operational planning. It is a nonconvex constrained optimization problem. However, it is solved as convex problem by approximation of machine input/output characteristics, thus resulting in an inaccurate result. Reliable, secure and cheapest supply of electrical energy to the consumers is the prime objective in power system operational planning. Increase in fuel cost, reduction in fossil-fuel assets and ecological concerns have forced to integrate renewable energy resources in the generation mix. However, the instability of wind and solar power output affects the power network. For solution of such solar and wind integrated economic dispatch problems, evolutionary approaches are considered potential solution methodologies. These approaches are considered as potential solution methodologies for nonconvex ED problem. This paper presents CEED (Combined Emission Economic Dispatch) of a power system comprising of multiple solar, wind and thermal units using continuous and binary FPA (Flower Pollination Algorithm). Proposed algorithm is applied on 5, 6, 15, 26 and 40 thermal generators by integrating several solar and wind plants, for both convex and nonconvex ED problems. Proposed algorithm is simulated in MATLAB 2014b. Results of simulations, when compared with other approaches, show promise of the approach.

Published
Jul 1, 2019
How to Cite
ABID, Anum; MALIK, Tahir Nadeem; ASHRAF, Muhammad Mansoor. Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 38, n. 3, p. 581-598, july 2019. ISSN 2413-7219. Available at: <http://publications.muet.edu.pk/index.php/muetrj/article/view/1128>. Date accessed: 19 july 2019.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License