Adaptive particle swarm optimisation for solving non-convex economic dispatch problems
This paper presents adaptive particle swarm optimization for solving non-convex economic dispatch problems. In this study, a new technique was developed known as adaptive particle swarm optimization (APSO), to alleviate the problems experienced in the traditional particle swarm optimisation (PSO). T...
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2023
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my.uniten.dspace-232872023-05-29T14:39:08Z Adaptive particle swarm optimisation for solving non-convex economic dispatch problems Jamain N. Musirin I. Mansor M.H. Othman M.M. Salleh S.A.M. 57202735757 8620004100 56372667100 35944613200 57201743907 This paper presents adaptive particle swarm optimization for solving non-convex economic dispatch problems. In this study, a new technique was developed known as adaptive particle swarm optimization (APSO), to alleviate the problems experienced in the traditional particle swarm optimisation (PSO). The traditional PSO was reported that this technique always stuck at local minima. In APSO, economic dispatch problem are considered with valve point effects. The search efficiency was improved when a new parameter was inserted into the velocity term. This has achieved local minima. In order to show the effectiveness of the proposed technique, this study examined two case studies, with and without contingency. � 2017 Universiti Putra Malaysia Press. Final 2023-05-29T06:39:08Z 2023-05-29T06:39:08Z 2017 Article 2-s2.0-85049130525 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049130525&partnerID=40&md5=d2e945037c877bea157983a950a6ff8b https://irepository.uniten.edu.my/handle/123456789/23287 25 S3 275 286 Universiti Putra Malaysia Press Scopus |
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This paper presents adaptive particle swarm optimization for solving non-convex economic dispatch problems. In this study, a new technique was developed known as adaptive particle swarm optimization (APSO), to alleviate the problems experienced in the traditional particle swarm optimisation (PSO). The traditional PSO was reported that this technique always stuck at local minima. In APSO, economic dispatch problem are considered with valve point effects. The search efficiency was improved when a new parameter was inserted into the velocity term. This has achieved local minima. In order to show the effectiveness of the proposed technique, this study examined two case studies, with and without contingency. � 2017 Universiti Putra Malaysia Press. |
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57202735757 |
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57202735757 Jamain N. Musirin I. Mansor M.H. Othman M.M. Salleh S.A.M. |
| format |
Article |
| author |
Jamain N. Musirin I. Mansor M.H. Othman M.M. Salleh S.A.M. |
| spellingShingle |
Jamain N. Musirin I. Mansor M.H. Othman M.M. Salleh S.A.M. Adaptive particle swarm optimisation for solving non-convex economic dispatch problems |
| author_sort |
Jamain N. |
| title |
Adaptive particle swarm optimisation for solving non-convex economic dispatch problems |
| title_short |
Adaptive particle swarm optimisation for solving non-convex economic dispatch problems |
| title_full |
Adaptive particle swarm optimisation for solving non-convex economic dispatch problems |
| title_fullStr |
Adaptive particle swarm optimisation for solving non-convex economic dispatch problems |
| title_full_unstemmed |
Adaptive particle swarm optimisation for solving non-convex economic dispatch problems |
| title_sort |
adaptive particle swarm optimisation for solving non-convex economic dispatch problems |
| publisher |
Universiti Putra Malaysia Press |
| publishDate |
2023 |
| _version_ |
1806427862265233408 |
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13.222552 |