Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique
The intermittent resources which cause fluctuations in the power generated by photovoltaic (PV) and wind turbine (WT) system made the optimal design for these resources essential, especially for an autonomous system. Therefore, this paper aims to obtain the best combination size between the hybrid P...
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International Journal of Electrical Power and Energy Systems
2015
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my.utm.587022021-11-03T08:41:34Z http://eprints.utm.my/id/eprint/58702/ Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique Mukhtaruddin, R. N. S. R. Rahman, H. A. Hassan, M. Y. Jamian, J. J. TK Electrical engineering. Electronics Nuclear engineering The intermittent resources which cause fluctuations in the power generated by photovoltaic (PV) and wind turbine (WT) system made the optimal design for these resources essential, especially for an autonomous system. Therefore, this paper aims to obtain the best combination size between the hybrid PV-WT-battery system that yields minimum cost and maximum reliability. In addition to that, the minimization of unutilized surplus power is also being considered as one of the design objectives. An Iterative-Pareto-Fuzzy (IPF) technique is used to obtain the best compromised solution between all the design objectives. Results show that the inclusion of unutilized surplus power criteria gave different set of Pareto points to the system and provided a different result for the best compromised solution. The total cost of the hybrid system is lower when the minimization of unutilized surplus power criteria is taken into account in the analysis. International Journal of Electrical Power and Energy Systems 2015 Article PeerReviewed Mukhtaruddin, R. N. S. R. and Rahman, H. A. and Hassan, M. Y. and Jamian, J. J. (2015) Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique. International Journal of Electrical Power & Energy Systems, 64 . pp. 242-249. ISSN 0142-0615 http://dx.doi.org/10.1016/j.ijepes.2014.07.030 DOI: 10.1016/j.ijepes.2014.07.030 |
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TK Electrical engineering. Electronics Nuclear engineering Mukhtaruddin, R. N. S. R. Rahman, H. A. Hassan, M. Y. Jamian, J. J. Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique |
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The intermittent resources which cause fluctuations in the power generated by photovoltaic (PV) and wind turbine (WT) system made the optimal design for these resources essential, especially for an autonomous system. Therefore, this paper aims to obtain the best combination size between the hybrid PV-WT-battery system that yields minimum cost and maximum reliability. In addition to that, the minimization of unutilized surplus power is also being considered as one of the design objectives. An Iterative-Pareto-Fuzzy (IPF) technique is used to obtain the best compromised solution between all the design objectives. Results show that the inclusion of unutilized surplus power criteria gave different set of Pareto points to the system and provided a different result for the best compromised solution. The total cost of the hybrid system is lower when the minimization of unutilized surplus power criteria is taken into account in the analysis. |
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Article |
author |
Mukhtaruddin, R. N. S. R. Rahman, H. A. Hassan, M. Y. Jamian, J. J. |
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Mukhtaruddin, R. N. S. R. Rahman, H. A. Hassan, M. Y. Jamian, J. J. |
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Mukhtaruddin, R. N. S. R. |
title |
Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique |
title_short |
Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique |
title_full |
Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique |
title_fullStr |
Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique |
title_full_unstemmed |
Optimal hybrid renewable energy design in autonomous system using Iterative-Pareto-Fuzzy technique |
title_sort |
optimal hybrid renewable energy design in autonomous system using iterative-pareto-fuzzy technique |
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International Journal of Electrical Power and Energy Systems |
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2015 |
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http://eprints.utm.my/id/eprint/58702/ http://dx.doi.org/10.1016/j.ijepes.2014.07.030 |
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