Development and application of slime mould algorithm for optimal economic emission dispatch
•The Improved Slime Mould Algorithm (ISMA) has been derived and proposed.•The economic emission dispatch problem is solved using ISMA and other algorithms.•The proposed ISMA outperforms SMA, PSO, and TSA in solving the EED problem.•Both single- and multi-objective functions are solved using the prop...
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| Published in | Expert systems with applications Vol. 182; p. 115205 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Elsevier Ltd
15.11.2021
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
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| Abstract | •The Improved Slime Mould Algorithm (ISMA) has been derived and proposed.•The economic emission dispatch problem is solved using ISMA and other algorithms.•The proposed ISMA outperforms SMA, PSO, and TSA in solving the EED problem.•Both single- and multi-objective functions are solved using the proposed ISMA.
In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch (EED) problems considering valve point effect. ISMA is developed to improve the performance of the conventional Slime Mould Algorithm (SMA). In ISMA, the solution positions are updated depending on two equations borrowed from the sine–cosine algorithm (SCA) to obtain the best solution. Multi-objective SMA (MOSMA) and Multi-objective ISMA (MOISMA) are developed based on the Pareto dominance concept and fuzzy decision-making. In the multi-objective EED problem, MOSMA and MOISMA are applied to minimize the total fuel costs and total emission with the valve point effect simultaneously. The proposed single-and bi-objective economic emission dispatch algorithms are validated using five test systems, 6-units, 10-units, 11-units, 40-units, and 110-units. The performance of the proposed algorithm is compared with Harris Hawk Optimizer (HHO), JellyfishSearch optimizer (JS), Tunicate Swarm Algorithm (TSA), Particle swarm optimization (PSO), and SMA algorithms. The results show that the proposed algorithms are more robust than other well-known algorithms. Feasible solutions using the proposed algorithms are also achieved, which adjust the schedule of generation without violation of the operating generation limits. |
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| AbstractList | In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch (EED) problems considering valve point effect. ISMA is developed to improve the performance of the conventional Slime Mould Algorithm (SMA). In ISMA, the solution positions are updated depending on two equations borrowed from the sine–cosine algorithm (SCA) to obtain the best solution. Multi-objective SMA (MOSMA) and Multi-objective ISMA (MOISMA) are developed based on the Pareto dominance concept and fuzzy decision-making. In the multi-objective EED problem, MOSMA and MOISMA are applied to minimize the total fuel costs and total emission with the valve point effect simultaneously. The proposed single-and bi-objective economic emission dispatch algorithms are validated using five test systems, 6-units, 10-units, 11-units, 40-units, and 110-units. The performance of the proposed algorithm is compared with Harris Hawk Optimizer (HHO), Jellyfish Search optimizer (JS), Tunicate Swarm Algorithm (TSA), Particle swarm optimization (PSO), and SMA algorithms. The results show that the proposed algorithms are more robust than other well-known algorithms. Feasible solutions using the proposed algorithms are also achieved, which adjust the schedule of generation without violation of the operating generation limits. •The Improved Slime Mould Algorithm (ISMA) has been derived and proposed.•The economic emission dispatch problem is solved using ISMA and other algorithms.•The proposed ISMA outperforms SMA, PSO, and TSA in solving the EED problem.•Both single- and multi-objective functions are solved using the proposed ISMA. In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch (EED) problems considering valve point effect. ISMA is developed to improve the performance of the conventional Slime Mould Algorithm (SMA). In ISMA, the solution positions are updated depending on two equations borrowed from the sine–cosine algorithm (SCA) to obtain the best solution. Multi-objective SMA (MOSMA) and Multi-objective ISMA (MOISMA) are developed based on the Pareto dominance concept and fuzzy decision-making. In the multi-objective EED problem, MOSMA and MOISMA are applied to minimize the total fuel costs and total emission with the valve point effect simultaneously. The proposed single-and bi-objective economic emission dispatch algorithms are validated using five test systems, 6-units, 10-units, 11-units, 40-units, and 110-units. The performance of the proposed algorithm is compared with Harris Hawk Optimizer (HHO), JellyfishSearch optimizer (JS), Tunicate Swarm Algorithm (TSA), Particle swarm optimization (PSO), and SMA algorithms. The results show that the proposed algorithms are more robust than other well-known algorithms. Feasible solutions using the proposed algorithms are also achieved, which adjust the schedule of generation without violation of the operating generation limits. |
| ArticleNumber | 115205 |
| Author | Kamel, Salah Abualigah, Laith Eid, Ahmad Hassan, Mohamed H. |
| Author_xml | – sequence: 1 givenname: Mohamed H. surname: Hassan fullname: Hassan, Mohamed H. email: mohamed.hosny@moere.gov.eg organization: Department of Electrical Engineering, Faculty of Engineering, Aswan University, 81542 Aswan, Egypt – sequence: 2 givenname: Salah orcidid: 0000-0001-9505-5386 surname: Kamel fullname: Kamel, Salah email: skamel@aswu.edu.eg organization: Department of Electrical Engineering, Faculty of Engineering, Aswan University, 81542 Aswan, Egypt – sequence: 3 givenname: Laith surname: Abualigah fullname: Abualigah, Laith email: laythdyabat@aau.edu.jo organization: Faculty of Computer Sciences and Informatics, Amman Arab University, Amman 11953, Jordan – sequence: 4 givenname: Ahmad orcidid: 0000-0002-2489-0971 surname: Eid fullname: Eid, Ahmad email: amohamad@qu.edu.sa organization: Department of Electrical Engineering, Faculty of Engineering, Aswan University, 81542 Aswan, Egypt |
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| Keywords | Economic and emission dispatch ISMA Greenhouse gases Valve point loading Slime mould algorithm |
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algorithm publication-title: IET Generation, Transmission and Distribution doi: 10.1049/iet-gtd.2015.0892 – volume: 11 start-page: 2845 issue: 2 year: 2011 ident: 10.1016/j.eswa.2021.115205_b0025 article-title: Economic environmental dispatch using multi-objective differential evolution publication-title: Applied Soft Computing Journal doi: 10.1016/j.asoc.2010.11.014 |
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| Snippet | •The Improved Slime Mould Algorithm (ISMA) has been derived and proposed.•The economic emission dispatch problem is solved using ISMA and other algorithms.•The... In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and applied to efficiently solve the single-and bi-objective Economic and... |
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| StartPage | 115205 |
| SubjectTerms | Algorithms Decision making Economic and emission dispatch Economics Emission analysis Greenhouse gases ISMA Particle swarm optimization Performance enhancement Slime Slime mould algorithm Trigonometric functions Valve point loading |
| Title | Development and application of slime mould algorithm for optimal economic emission dispatch |
| URI | https://dx.doi.org/10.1016/j.eswa.2021.115205 https://www.proquest.com/docview/2576367447 |
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