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dc.contributor.author | Goddard, Rohan![]() |
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dc.contributor.author | Zhang, Lijun![]() |
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dc.contributor.author | Xia, Xiaohua![]() |
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dc.date.accessioned | 2020-08-13T05:25:04Z | |
dc.date.available | 2020-08-13T05:25:04Z | |
dc.date.issued | 2019-02 | |
dc.description | Applied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrids, REM 2018, 29–30 September 2018, Rhodes, Greece | en_ZA |
dc.description.abstract | When sizing distributed hybrid renewable energy systems (HRESs) it has been found that capital costs can significantly be reduced when socio-demographic factors are considered. Unique electricity usage patterns have previously been classified using users’ socio-demographic factors and used to optimize the size of individual stand-alone HRESs. An optimization model is formulated where an individual HRES is assigned to each of the six socio-demographic classifications and power sharing is implemented with neighboring sites in a specific configuration. Solving the optimization problem with a hybrid approach using Matlab’s genetic algorithm and fmincon results in an 82,10% reduction in capital costs compared to the system without power sharing. | en_ZA |
dc.description.department | Electrical, Electronic and Computer Engineering | en_ZA |
dc.description.librarian | am2020 | en_ZA |
dc.description.uri | http://www.elsevier.com/locate/procedia | en_ZA |
dc.identifier.citation | Goddard, R., Zhang, L. & Xia, X. 2019, 'Optimal sizing and power sharing of distributed hybrid renewable energy systems considering socio-demographic factors', Energy Procedia, vol. 159, pp. 340-345. | en_ZA |
dc.identifier.issn | 1876-6102 (online) | |
dc.identifier.other | 10.1016/j.egypro.2019.01.005 | |
dc.identifier.uri | http://hdl.handle.net/2263/75673 | |
dc.language.iso | en | en_ZA |
dc.publisher | Elsevier | en_ZA |
dc.rights | © The Authors. This is an open access article under CC BY-NC-ND license. | en_ZA |
dc.subject | Sizing | en_ZA |
dc.subject | Optimization | en_ZA |
dc.subject | Power sharing | en_ZA |
dc.subject | Socio-demographic factors | en_ZA |
dc.subject | Hybrid renewable energy system (HRES) | en_ZA |
dc.title | Optimal sizing and power sharing of distributed hybrid renewable energy systems considering socio-demographic factors | en_ZA |
dc.type | Article | en_ZA |