A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power
Due to the rapid increase in the consumption of electrical energy and the instability of fossil fuel prices, renewable energy, such as wind power (WP), has become increasingly economically competitive compared to other conventional energy production methods. However, the intermittent nature of wind...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/13/4014 |
| _version_ | 1827688252801286144 |
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| author | Motaeb Eid Alshammari Makbul A. M. Ramli Ibrahim M. Mehedi |
| author_facet | Motaeb Eid Alshammari Makbul A. M. Ramli Ibrahim M. Mehedi |
| author_sort | Motaeb Eid Alshammari |
| collection | DOAJ |
| description | Due to the rapid increase in the consumption of electrical energy and the instability of fossil fuel prices, renewable energy, such as wind power (WP), has become increasingly economically competitive compared to other conventional energy production methods. However, the intermittent nature of wind energy creates certain challenges to the power network operation. The combined economic environmental dispatch (CEED) including WP is one of the most fundamental challenges in power system operation. Within this context, this paper presents a new attempt to solve the probabilistic CEED problem with WP penetration. The optimal WP to be incorporated in the grid is determined in such a way that the system security is within acceptable limits. The system security is described by various fuzzy membership functions in terms of the probability that power balance cannot be met. These membership functions are formulated based on the dispatcher’s attitude. This probabilistic and non-convex CEED problem is solved using a new technique combining chaos theory and artificial bee colony (ABC) technique. In this improved version of ABC (IABC), chaotic maps are used to generate initial solutions, and the random numbers involved in the standard ABC are substituted by chaotic sequences. The effectiveness of IABC is tested on two groups of benchmark functions and practical cases. The impacts of dispatcher’s attitude and risk level are investigated in the simulation section. |
| first_indexed | 2024-03-10T09:52:14Z |
| format | Article |
| id | doaj.art-da7231a2df594819b2c7c1aaf4b13721 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T09:52:14Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-da7231a2df594819b2c7c1aaf4b137212023-11-22T02:38:43ZengMDPI AGEnergies1996-10732021-07-011413401410.3390/en14134014A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind PowerMotaeb Eid Alshammari0Makbul A. M. Ramli1Ibrahim M. Mehedi2Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDue to the rapid increase in the consumption of electrical energy and the instability of fossil fuel prices, renewable energy, such as wind power (WP), has become increasingly economically competitive compared to other conventional energy production methods. However, the intermittent nature of wind energy creates certain challenges to the power network operation. The combined economic environmental dispatch (CEED) including WP is one of the most fundamental challenges in power system operation. Within this context, this paper presents a new attempt to solve the probabilistic CEED problem with WP penetration. The optimal WP to be incorporated in the grid is determined in such a way that the system security is within acceptable limits. The system security is described by various fuzzy membership functions in terms of the probability that power balance cannot be met. These membership functions are formulated based on the dispatcher’s attitude. This probabilistic and non-convex CEED problem is solved using a new technique combining chaos theory and artificial bee colony (ABC) technique. In this improved version of ABC (IABC), chaotic maps are used to generate initial solutions, and the random numbers involved in the standard ABC are substituted by chaotic sequences. The effectiveness of IABC is tested on two groups of benchmark functions and practical cases. The impacts of dispatcher’s attitude and risk level are investigated in the simulation section.https://www.mdpi.com/1996-1073/14/13/4014economic emission dispatchsecurity levelrisk levelchance constraint problemartificial bee colonychaotic sequences |
| spellingShingle | Motaeb Eid Alshammari Makbul A. M. Ramli Ibrahim M. Mehedi A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power Energies economic emission dispatch security level risk level chance constraint problem artificial bee colony chaotic sequences |
| title | A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power |
| title_full | A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power |
| title_fullStr | A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power |
| title_full_unstemmed | A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power |
| title_short | A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power |
| title_sort | new chaotic artificial bee colony for the risk constrained economic emission dispatch problem incorporating wind power |
| topic | economic emission dispatch security level risk level chance constraint problem artificial bee colony chaotic sequences |
| url | https://www.mdpi.com/1996-1073/14/13/4014 |
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