2015
DOI: 10.1016/j.rser.2014.09.017
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BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting

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Cited by 86 publications
(25 citation statements)
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“…However, the renewable sources are intermittent in nature with very high initial installation price. Off-grid Small Autonomous Hybrid Power Systems (SAHPS) are a good alternative for generating electricity locally in remote areas where the transmission and distribution of electrical energy generated from conventional sources are otherwise complex, difficult and costly [29].…”
Section: Discussionmentioning
confidence: 99%
“…However, the renewable sources are intermittent in nature with very high initial installation price. Off-grid Small Autonomous Hybrid Power Systems (SAHPS) are a good alternative for generating electricity locally in remote areas where the transmission and distribution of electrical energy generated from conventional sources are otherwise complex, difficult and costly [29].…”
Section: Discussionmentioning
confidence: 99%
“…In order to handle the effect of external disturbances on RES systems performance, the dynamic forecasting, as well as energy storage, shall be provided. The advanced prediction algorithms like coupled autoregressive and dynamic system (CARDS) from Huang and Boland [128] or artificial neural networks (ANN) from Gupta et al [129] can be applied for solar radiation and wind speed, wind power and solar power prediction among others. Even more challenging is the long-term forecasting for future power output, according to Zhao et al [130], with multiobjective optimisation from Behzadi et al [131].…”
Section: Core Developmentsmentioning
confidence: 99%
“…For more practical energy storage simulation, nominal and rated battery capacity limits were also incorporated by Maleki et al [125], Mukhtaruddin et al [315], Askarzadeh [316], Shin et al [127], Gupta et al [160], and Gupta et al [317]; whereas compatibility of battery nominal voltage with power generators was emphasised in the studies by Gan et al [270] and Sanajaoba and Fernandez [267]. On top of that, Theo et al [119] considered power rating limits for energy storage technology selection in an ecoindustrial park DG system optimisation.…”
Section: First Modementioning
confidence: 99%