An Improved Technique to Estimate the Total Generated Power by Neighboring Photovoltaic Systems Using Single-Point Irradiance Measurement and Correlational Models

Al-Hilfi, Hasanain A. H.; Shahnia, Farhad; Abu-Siada, A.

doi:10.1109/tii.2019.2941218

Cited by 7 publications

(17 citation statements)

References 46 publications

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“…where b 1 to b 2 are normalized parameters considering V clo , d m,n and cloud direction. In addition, Reference [29] presented a VRI technique (referred to the VRI-GEP model in the rest of this study) by using the maximum values of the existing VRI models [7] and a genetic algorithm technique called Gene Expression Programming (GEP). Variability is not stationary in which it was the highest in Hawaii and the lowest in Algeria.…”

Section: Variability and Correlation Coefficientmentioning

confidence: 99%

“…The proposed technique is a combination of the WTT and the Adaptive Neuro-Fuzzy Inference System (ANFIS). Wavelet Transform is a signal processing technique that transforms periodic and non-periodic time-series signals into the time-frequency domain [7]. Continuous Wavelet Transform (CWT) is used for a continuous time-series signals and is expressed as…”

Section: Proposed Techniquementioning

confidence: 99%

“…Another cost-effective solution is through allocating the PV systems over a large geographical area. The robustness of this solution is shown in Figure 1, which reveals that the irradiance is getting smoother by increasing the number of PV systems over a geographical area with a separation distance of 20 km to 450 km [7]. Figure 1.…”

Section: Introductionmentioning

confidence: 95%

“…Estimating such power is one of the main challenges faced by network operators to prevent frequency instability due to such short-term power reduction, which is why many adopt a suitable backup energy storage system. According to utilities guidelines, the PV system's power output reduction should not be more than 10% of the PV system's capacity over a minute [7]. Adopting an energy storage system to meet this requirement may be an expensive option for large PV plants [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…According to utilities guidelines, the PV system's power output reduction should not be more than 10% of the PV system's capacity over a minute [7]. Adopting an energy storage system to meet this requirement may be an expensive option for large PV plants [7,8]. Another cost-effective solution is through allocating the PV systems over a large geographical area.…”

Section: Introductionmentioning

confidence: 99%

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Combined ANFIS–Wavelet Technique to Improve the Estimation Accuracy of the Power Output of Neighboring PV Systems during Cloud Events

2020

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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.

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Section: Variability and Correlation Coefficientmentioning

confidence: 99%

Section: Proposed Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Combined ANFIS–Wavelet Technique to Improve the Estimation Accuracy of the Power Output of Neighboring PV Systems during Cloud Events

2020

Self Cite

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Gene expression technique‐based approach to improve the accuracy of estimating the total generated power by neighbouring photovoltaic systems

Al-Hilfi

Shahnia

Abu-Siada

2020

IET Renewable Power Generation

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The penetration of photovoltaic systems (PVs) to existing power grids is increasing as they are considered attractive options for electricity generation in distribution networks. This paper focuses on estimating the total power generated by a group of neighbouring PVs, spread over a distribution network using a single pyranometer for measuring the solar irradiance. A new empirical‐based model that employs the Gene Expression Programming (GEP) technique is proposed to correlate the distribution of the PVs and the irradiance measured by the pyranometer and estimate the total power generated by the PVs. The geographic variability reduction index has been considered in developing the proposed model that also employs a Wavelet Transform technique to enhance its accuracy. The effective performance of the proposed model is validated using real data collected by the Solar Project at the University of Queensland, Brisbane, Australia. Results reveal that the proposed technique yields more accurate results when compared with other existing approaches in the literature.

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pFedMTD: A Personalized Federated Learning-based Multilayer Temporal Decomposition Model for Distributed Photovoltaic Power Prediction

Li,

Zhu,

Xia

et al. 2024

2024 IEEE/CIC International Conference on Communications in China (ICCC)

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An Improved Technique to Estimate the Total Generated Power by Neighboring Photovoltaic Systems Using Single-Point Irradiance Measurement and Correlational Models

Cited by 7 publications

References 46 publications

Combined ANFIS–Wavelet Technique to Improve the Estimation Accuracy of the Power Output of Neighboring PV Systems during Cloud Events

Combined ANFIS–Wavelet Technique to Improve the Estimation Accuracy of the Power Output of Neighboring PV Systems during Cloud Events

Gene expression technique‐based approach to improve the accuracy of estimating the total generated power by neighbouring photovoltaic systems

pFedMTD: A Personalized Federated Learning-based Multilayer Temporal Decomposition Model for Distributed Photovoltaic Power Prediction

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