Probabilistic hosting capacity assessment towards efficient PV-rich low-voltage distribution networks

Qammar, Naveed; Arshad, Ammar; Miller, Robert John; Mahmoud, Karar; Lehtonen, Matti

doi:10.1016/j.epsr.2023.109940

Electric Power Systems Research

2024

DOI: 10.1016/j.epsr.2023.109940

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Probabilistic hosting capacity assessment towards efficient PV-rich low-voltage distribution networks

Naveed Qammar,

Ammar Arshad,

Robert John Miller

et al.

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Cited by 5 publications

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Probabilistic load flow analysis for evaluation of photovoltaic grid connection applications

Wohlfart,

Renner

2024

Elektrotech. Inftech.

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Uncertainty in power system analysis is increasing, mainly due to decentralized generation and the related spatial distribution of power plants, as well as the inherent volatility of renewable energy sources. In Austria, this development is reflected in a high number of photovoltaic grid connection applications in recent years. On the consumption side, there are changes in grid loads due to the increasing electrification of society, which is reflected, for example, in a rising number of electric vehicles. These aspects of uncertainty in generation and consumption must be considered in the planning process of distribution grids. A proper way to include uncertainty in the hosting capacity analysis of power grids are probabilistic load flow calculation methods. This paper provides an introductory overview of probabilistic load flow analysis, available calculation methods, required input parameters and the interpretation of results. This paper focuses on photovoltaics, so a correlation analysis of historical power generation measurements of spatially distributed photovoltaic power plants in Austria is presented. Furthermore, an insight into the development of Austrian photovoltaic grid connection applications from recent years is given.

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Probabilistic load flow analysis for evaluation of photovoltaic grid connection applications

Wohlfart,

Renner

2024

Elektrotech. Inftech.

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PV/PV-Battery hosting capacity estimation method based on hidden Markov model for effective stochastic computation

Atmaja,

da Silva,

Bak

et al. 2024

Electric Power Systems Research

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Study of rooftop PV hosting capacity in 20 kV systems in facing distributed generation penetration

Setyonegoro,

Irnawan,

Putranto

et al. 2024

Results in Engineering

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Probabilistic hosting capacity assessment towards efficient PV-rich low-voltage distribution networks

Cited by 5 publications

References 17 publications

Probabilistic load flow analysis for evaluation of photovoltaic grid connection applications

Probabilistic load flow analysis for evaluation of photovoltaic grid connection applications

PV/PV-Battery hosting capacity estimation method based on hidden Markov model for effective stochastic computation

Study of rooftop PV hosting capacity in 20 kV systems in facing distributed generation penetration

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