A hybrid flower pollination algorithm with sequential quadratic programming technique for solving dynamic combined economic emission dispatch problem

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,...

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Veröffentlicht in:Mehran University research journal of engineering and technology Jg. 40; H. 2; S. 371 - 382
Hauptverfasser: Gul, Rabia Noreen, Ahmad, Aftab, Fayyaz, Saqib, Sattar, Muhammad Kashif, ul Haq, Syed Saddam
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Mehran University of Engineering and Technology 01.04.2021
Schlagworte:
Algorithms
Data processing
Economic aspects
Electric power systems
Electricity
Materials handling
Mathematical optimization
Methods
Pakistan
Pollination
Sequential analysis
Testing equipment
Pakistan
ISSN:0254-7821, 2413-7219
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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.
AbstractList 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.
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. Keywords: Flower Pollination Algorithm, Sequential Quadratic Programming, Emission Dispatch, Dynamic Combined Economic Emission Dispatch.
Audience Academic
Author Aftab Ahmad
Saqib Fayyaz
Muhammad Kashif Sattar
Syed Saddam ul Haq
Rabia Noreen Gul
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  organization: Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila, Pakistan
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crossref_primary_10_1007_s00158_022_03414_7
crossref_primary_10_1007_s10479_024_06363_0
crossref_primary_10_3390_en14102961
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Mehran University Research Journal Of Engineering & Technology, Vol. 40, No. 2, Apr 2021: 371-382
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Snippet This paper presents the solution of highly complex, non-linear, multi-objective Dynamic Combined Economic Emission Dispatch (DCEED) problem. DCEED is a power...
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SubjectTerms Algorithms
Data processing
Economic aspects
Electric power systems
Electricity
Materials handling
Mathematical optimization
Methods
Pakistan
Pollination
Sequential analysis
Testing equipment
Title A hybrid flower pollination algorithm with sequential quadratic programming technique for solving dynamic combined economic emission dispatch problem
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