Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques
| العنوان: | Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques |
|---|---|
| المؤلفون: | Prasad Kumar Bandahalli Mallappa, Herminio Martinez Garcia, Guillermo Velasco Quesada |
| المساهمون: | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Electrònica, Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. EPIC - Energy Processing and Integrated Circuits |
| المصدر: | Applied Sciences, Vol 11, Iss 10120, p 10120 (2021) UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Applied Sciences Volume 11 Issue 21 |
| بيانات النشر: | MDPI AG, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Technology, Maximum power principle, Computer science, Binary particle swarm optimization, Energies::Energia solar fotovoltaica [Àrees temàtiques de la UPC], multilevel inverter, QH301-705.5, Circuit design, QC1-999, Grey wolf optimization, Microelectrònica, Photovoltaic power generation, Total harmonic distortion, Maximum power point tracking, photovoltaic, Multilevel inverter, Microelectronics, Genetic algorithm, Electronic engineering, General Materials Science, Biology (General), Instrumentation, QD1-999, Solar power, Energia solar fotovoltaica, grey wolf optimization, Fluid Flow and Transfer Processes, business.industry, Process Chemistry and Technology, Physics, Photovoltaic system, General Engineering, binary particle swarm optimization, Engineering (General). Civil engineering (General), maximum power point tracking, Computer Science Applications, Enginyeria electrònica::Microelectrònica [Àrees temàtiques de la UPC], Chemistry, total harmonic distortion, TA1-2040, business, Photovoltaic, Voltage |
| الوصف: | In recent years, the photovoltaic (PV) system was designed to supply solar power through photovoltaic arrays. The PV generator exhibits nonlinear voltage–current characteristics and its maximum power point tracking (MPPT), which varies with temperature and radiation. In the event of non-uniform solar insolation, several multiple maximum power points (MPPs) appear in the power–voltage characteristic of the PV module. Thus, a hybrid combination of binary particle swarm optimization (BPSO) and grey wolf optimization (GWO) is proposed herein to handle multiple MPPs. This combination is nowhere found in the literature, so the author chose this hybrid technique and the main advantage of the proposed method is its ability to predict the global MPP (GMPP) in a very short time and to maintain accurate performance, even under different environmental conditions. Moreover, a 31-level multilevel inverter (MLI) was designed with a lower blocking voltage process to reduce the complexity of the circuit design. The entire system was executed in the MATLAB platform to examine the performance of the PV system, which was shown to extract a maximum power of 92.930 kW. The simulation design clearly showed that the proposed method with a 31-level MLI achieved better results in terms of total harmonic distortion (THD) at 1.60%, which is less when compared to the existing genetic algorithm (GA) and artificial neural networks (ANNs). |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2076-3417 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ace2fb0631caf62fcea33cd633290f4Test https://www.mdpi.com/2076-3417/11/21/10120Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....6ace2fb0631caf62fcea33cd633290f4 |
| قاعدة البيانات: | OpenAIRE |
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