Journal article
Combined ANFIS–wavelet technique to improve the estimation accuracy of the power output of neighboring PV systems during cloud events
Energies, Vol.13(7), Article 1613
2020
Abstract
The short-term variability of photovoltaic (PV) system-generated power due to ambient conditions, such as passing clouds, represents a key challenge for network planners and operators. Such variability can be reduced using a geographical smoothing technique based on installing multiple PV systems over certain locations at distances of meters to kilometers. To accurately estimate the PV system’s generated power during cloud events, a variability reduction index (VRI), which is a function of several parameters, should be calculated precisely. In this paper, the Wavelet Transform Technique (WTT) along with Adaptive Neuro Fuzzy Inference System (ANFIS) are used to develop new models to estimate the PV system’s power output during cloud events. In this context, irradiance data collected from one PV system along with other parameters, including ambient conditions, were used to develop the proposed models. Ultimately, the models were validated through their application on a 0.7 km2 PV plant with 16 rooftop PV systems in Brisbane, Australia.
Details
- Title
- Combined ANFIS–wavelet technique to improve the estimation accuracy of the power output of neighboring PV systems during cloud events
- Authors/Creators
- H.A.H. Al-Hilfi (Author/Creator)A. Abu-Siada (Author/Creator)F. Shahnia (Author/Creator)
- Publication Details
- Energies, Vol.13(7), Article 1613
- Publisher
- MDPI
- Identifiers
- 991005544944707891
- Copyright
- © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.575 Photovoltaic Systems
- Web Of Science research areas
- Energy & Fuels
- ESI research areas
- Engineering