Operational Risk Assessment of Grid-connected PV System Considering Weather Variability and Component Availability

Tao, Sumeng; Li, Chunlai; Zhang, Lei; Tang, Yi

doi:10.1016/j.egypro.2018.04.047

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…In the solar PV system, the probable energy losses are difficult to predict a priori accurately and, thus, it is critical to design, install, and operate properly the system considering all the factors that could contribute to energy loss [4,35]. According to [26,36], the electrical power output of a solar PV system can be calculated as:…”

Section: Solar Pv Power Outputmentioning

confidence: 99%

Improvement of Stand-Alone Solar PV Systems in the Maputo Region by Adapting Necessary Parameters

2021

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With the energy crisis and the constant blackout in the Mozambique Power Company grid, the option of applying solar photovoltaic (PV) systems has been one of the most used alternatives in the neighborhoods of the Maputo region. However, inefficient power delivery caused by unproper sizing and installation of stand-alone solar PV systems has been contributing to the low utilization of solar energy potential in the Maputo region. The optimal sizing and installation of the solar PV system is addressed to evaluate the influence of installation and operation parameters on the power output of PV modules. In this topic, PV modules parameters such as cell temperature, the module’s slope and azimuth angles, the losses caused by excessive heating of the module cells, shadows and dust on the PV module and the cooling process at the back of the module are assessed in order to find out the consequence of inadequate installation and operation parameters of solar PV systems in the Maputo region. The proper sizing and installation of the stand-alone solar PV system is fundamental to guarantee the continuous and efficient supply of power and, thus, different tools and techniques have been applied. This study will deal with the hybrid optimization of multiple energy resources (HOMER) and system advisor model (SAM), to size and improve power generation of solar PV systems. This study concluded that for the Maputo region, the optimal tilt angle is 23 ± 2° and the azimuth angle is 11 ± 2°. In addition, for optimization of the tilt and azimuth angles, it also examined the effect of module backside ventilation and proved that the system’s power generation increases with the rise of spacing between the module and the wall, since the strategy prevents the decline of the module cells efficiency. However, the maximum recommended spacing between the PV module and the mounting wall is about 0.4 m, since an effort to increase the spacing up to this level results in an insignificant growth of power output.

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Section: Solar Pv Power Outputmentioning

confidence: 99%

Improvement of Stand-Alone Solar PV Systems in the Maputo Region by Adapting Necessary Parameters

2021

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“…Traditionally, stochastic methods are used to assess risk in power systems [18]. Such methods have been used recently to determine the risk of disturbances within grids with connected PV sources [19][20][21][22][23][24]. Stochastic methods are suitable due to the stochastic variability of PV generation, which is caused by the unpredictability of weather conditions leading to variable solar irradiance.…”

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confidence: 99%

“…Severity degrees are commonly used to calculate the risks associated with the operation of PV sources in power systems [19,20,22,23]. We also use this concept in the article.…”

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confidence: 99%

Evaluating the Risk of Exceeding the Normal Operating Conditions of a Low-Voltage Distribution Network due to Photovoltaic Generation

2022

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Connecting photovoltaic micro-installations to a low-voltage network changes the operating conditions of the network. As a result, in certain situations, the permissible operating limits may be periodically exceeded. The risk of exceeding the normal operating conditions of the network depends on multiple factors, including the installed capacity of the photovoltaic sources. In this article, we use a time-series method to determine the annual risks of exceeding the bus voltage limits, the rated current of the lines and transformer, and the acceptable limit of the negative sequence component of bus voltage, as well as the risk of a reverse flow occurring, and the risk of energy losses increasing. We calculate these risks for different levels of penetration of the photovoltaic sources, different divisions of the rated power of the photovoltaic sources between individual phases, and different consumer load profiles. We perform calculations on a CIGRE test network using OpenDSS and statistical meteorological data for the Katowice (Poland) weather station. The results obtained indicate that connecting photovoltaic micro-installations to a low-voltage network has the greatest impact on the risk of reverse flow occurring and the risk of energy losses increasing. In addition, the risk of overvoltage and branch overload increases substantially. The method we present allows one to determine the value of the hosting capacity of a given low-voltage network, ensuring that the assumed risk of exceeding the normal operating conditions of the network is retained.

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Reviews on characteristic of renewables: Evaluating the variability and complementarity

Yan

Han

et al. 2020

Int Trans Electr Energ Syst

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Operational Risk Assessment of Grid-connected PV System Considering Weather Variability and Component Availability

Cited by 7 publications

References 6 publications

Improvement of Stand-Alone Solar PV Systems in the Maputo Region by Adapting Necessary Parameters

Improvement of Stand-Alone Solar PV Systems in the Maputo Region by Adapting Necessary Parameters

Evaluating the Risk of Exceeding the Normal Operating Conditions of a Low-Voltage Distribution Network due to Photovoltaic Generation

Reviews on characteristic of renewables: Evaluating the variability and complementarity

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