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المؤلفHussain, Shahbaz
المؤلفAlammari, Rashid
المؤلفIqbal, Atif
المؤلفShikfa, Abdullatif
تاريخ الإتاحة2022-03-31T08:05:53Z
تاريخ النشر2020
اسم المنشور2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/ICIoT48696.2020.9089549
معرّف المصادر الموحدhttp://hdl.handle.net/10576/29140
الملخصNowadays, conventional energy system is being replaced by renewable energy system. Especially, PV systems and wind energy systems are gaining much attention due to their future sustainability and eco-friendly nature. However, for these types of systems, optimization and control is a challenging task because of their unpredictable nature. In this paper, an artificial intelligence (AI) based method named as multidimensional particle swarm optimization with weights induced fitness function (MDPSO-WIFF) approach is proposed for achieving the best combination size between the hybrid photovoltaic, wind turbine and battery storage (PV-WT-BT) system. The AI algorithm handles multiobjective optimization and gives minimum cost and maximum reliability along with the minimization of unutilized surplus power. The algorithm is then justified by comparing its results with iterative-pareto-fuzzy technique. The findings show that the proposed approach is faster and capable of obtaining better quality solution in terms of total cost and reliability with trade-off to dump load.
راعي المشروعThis publication was supported in part by Qatar University Internal Grant No. QUCG-CENG-2018/2019-2. The findings achieved herein are solely the responsibility of the authors.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعfitness function
hybrid system
multidimensional
multiobjective
Optimal sizing
particle swarm optimization
weights
العنوانOptimal sizing of a stand-alone hybrid PV-WT-BT system using artificial intelligence based technique
النوعConference
الصفحات55-60


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