Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Mehran University of Engineering and Technology
2019-07-01
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| Series: | Mehran University Research Journal of Engineering and Technology |
| Online Access: | http://publications.muet.edu.pk/index.php/muetrj/article/view/1128 |
| _version_ | 1819064735817007104 |
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| author | Anum Abid Tahir Nadeem Malik Muhammad Mansoor Ashraf |
| author_facet | Anum Abid Tahir Nadeem Malik Muhammad Mansoor Ashraf |
| author_sort | Anum Abid |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T15:35:18Z |
| format | Article |
| id | doaj.art-64fb51a44c8b4ee387d9e8caab201fcd |
| institution | Directory Open Access Journal |
| issn | 0254-7821 2413-7219 |
| language | English |
| last_indexed | 2024-12-21T15:35:18Z |
| publishDate | 2019-07-01 |
| publisher | Mehran University of Engineering and Technology |
| record_format | Article |
| series | Mehran University Research Journal of Engineering and Technology |
| spelling | doaj.art-64fb51a44c8b4ee387d9e8caab201fcd2022-12-21T18:58:39ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192019-07-013835815981128Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination AlgorithmAnum Abid0Tahir Nadeem Malik1Muhammad Mansoor Ashraf2Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan.Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan.Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan.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.http://publications.muet.edu.pk/index.php/muetrj/article/view/1128 |
| spellingShingle | Anum Abid Tahir Nadeem Malik Muhammad Mansoor Ashraf 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 |
| title | Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm |
| title_full | Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm |
| title_fullStr | Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm |
| title_full_unstemmed | Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm |
| title_short | Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm |
| title_sort | combined emission economic dispatch of power system in presence of solar and wind using flower pollination algorithm |
| url | http://publications.muet.edu.pk/index.php/muetrj/article/view/1128 |
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