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

Rabia Noreen Gul; Aftab Ahmad; Saqib Fayyaz; Muhammad Kashif Sattar; Syed Saddam ul Haq

doi:10.22581/muet1982.2102.11

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

Author(s)

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 10unit 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.

Publication Details

Page(s) 371-382

DOI 10.22581/muet1982.2102.11

Published Journal: Mehran University Research Journal of Engineering and Technology, Volume: 40, Issue: 2, Year: 2021

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Keywords

Flower Pollination Algorithm, Emission Dispatch, Sequential Quadratic Programming, Dynamic Combined Economic Emission Dispatch

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