Sensitivity Analysis for the Power Quality Indices of Standalone PV Systems
Standalone photovoltaic systems is a key technology for the increase of renewable energy sources share in electricity production worldwide. The power quality of those systems plays a fundamental role in avoiding volatile power supply. This calls for a concrete design in order to meet power quality s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8101442/ |
| _version_ | 1819158984212348928 |
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| author | Dionisis Voglitsis Nick P. Papanikolaou Christos A. Christodoulou Dimitris K. Baros Ioannis F. Gonos |
| author_facet | Dionisis Voglitsis Nick P. Papanikolaou Christos A. Christodoulou Dimitris K. Baros Ioannis F. Gonos |
| author_sort | Dionisis Voglitsis |
| collection | DOAJ |
| description | Standalone photovoltaic systems is a key technology for the increase of renewable energy sources share in electricity production worldwide. The power quality of those systems plays a fundamental role in avoiding volatile power supply. This calls for a concrete design in order to meet power quality specifications. In this context, a methodology has been developed in a previous work, in order to set the values of the parameters that optimize the power quality indices of the system. In this paper, an extensive sensitivity analysis is performed regarding the influence of the optimized parameters variation on the power quality indices. Throughout the outcomes of the sensitivity analysis a more insightful view of the system performance under the deviations of system parameters is revealed, which in combination with the aforementioned optimal design strategy becomes an essential tool that ensures high power quality level. The theoretical outcomes are validated by experimental results, highlighting the effectiveness of the proposed design strategy. |
| first_indexed | 2024-12-22T16:33:20Z |
| format | Article |
| id | doaj.art-7eebd29f3b584b9ca53577f328d018aa |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T16:33:20Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7eebd29f3b584b9ca53577f328d018aa2022-12-21T18:20:01ZengIEEEIEEE Access2169-35362017-01-015259132592210.1109/ACCESS.2017.27715278101442Sensitivity Analysis for the Power Quality Indices of Standalone PV SystemsDionisis Voglitsis0Nick P. Papanikolaou1https://orcid.org/0000-0001-8546-1196Christos A. Christodoulou2Dimitris K. Baros3Ioannis F. Gonos4Electrical and Computer Engineering Department, Democritus University of Thrace, Xanthi, GreeceElectrical and Computer Engineering Department, Democritus University of Thrace, Xanthi, GreeceHellenic Distribution Network Operator S.A., Athens, GreeceElectrical and Computer Engineering Department, Democritus University of Thrace, Xanthi, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, Athens, GreeceStandalone photovoltaic systems is a key technology for the increase of renewable energy sources share in electricity production worldwide. The power quality of those systems plays a fundamental role in avoiding volatile power supply. This calls for a concrete design in order to meet power quality specifications. In this context, a methodology has been developed in a previous work, in order to set the values of the parameters that optimize the power quality indices of the system. In this paper, an extensive sensitivity analysis is performed regarding the influence of the optimized parameters variation on the power quality indices. Throughout the outcomes of the sensitivity analysis a more insightful view of the system performance under the deviations of system parameters is revealed, which in combination with the aforementioned optimal design strategy becomes an essential tool that ensures high power quality level. The theoretical outcomes are validated by experimental results, highlighting the effectiveness of the proposed design strategy.https://ieeexplore.ieee.org/document/8101442/Genetic algorithmsinvertersphotovoltaic systemspower quality |
| spellingShingle | Dionisis Voglitsis Nick P. Papanikolaou Christos A. Christodoulou Dimitris K. Baros Ioannis F. Gonos Sensitivity Analysis for the Power Quality Indices of Standalone PV Systems IEEE Access Genetic algorithms inverters photovoltaic systems power quality |
| title | Sensitivity Analysis for the Power Quality Indices of Standalone PV Systems |
| title_full | Sensitivity Analysis for the Power Quality Indices of Standalone PV Systems |
| title_fullStr | Sensitivity Analysis for the Power Quality Indices of Standalone PV Systems |
| title_full_unstemmed | Sensitivity Analysis for the Power Quality Indices of Standalone PV Systems |
| title_short | Sensitivity Analysis for the Power Quality Indices of Standalone PV Systems |
| title_sort | sensitivity analysis for the power quality indices of standalone pv systems |
| topic | Genetic algorithms inverters photovoltaic systems power quality |
| url | https://ieeexplore.ieee.org/document/8101442/ |
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