In a realistic, future distribution grid planning and operation all uncertainties have to be incorporated into the system model. The most favoured solution for these challenges is the usage of statistical tools within the power flow analysis. This approach is called probabilistic power flow (PLF). This publication applies different sampling techniques to non-Gaussian distributions of photovoltaic (PV) plants on a benchmark grid cluster. A PV unit penetration of 33% led in almost half of the grids to thermal problems due to high currents. Nodal voltages increased earlier due to the ohmic character of the grid
This paper investigates residential distribution networks with uncertain loads and photovoltaic dist...
Increasing decentralized and renewable power production, which is mainly installed in distribution n...
This chapter presents the formulation and application of a comprehensive tool to perform the probabi...
International audience—The aim of this paper is to apply probabilistic load flow methods on a three ...
Large integration of solar Photo Voltaic (PV) in distribution network has resulted in over-voltage p...
Distributed generation such as photovoltaic is more encouraged by government policies to exploit the...
This paper reviews the development of the probabilistic load flow (PLF) techniques. Applications of ...
Increasing decentralized solar and wind power production, introduces uncertainty in the electricity ...
The load flow problem is fundamental to characterize the equilibrium behavior of a power system. Unc...
The power flow techniques are of great importance for the modern distribution network expansion plan...
In a power system with high penetration of variable Renewable Energy Sources (vRES), the high uncert...
International audienceExploitation of renewable energy sources in power networks, especially wind en...
Renewable resources integration through distributed generation (DG) affects conventional considerati...
This paper aims at presenting a novel effective approach to probabilistic analysis of distribution p...
This paper investigates residential distribution networks with uncertain loads and photovoltaic dist...
Increasing decentralized and renewable power production, which is mainly installed in distribution n...
This chapter presents the formulation and application of a comprehensive tool to perform the probabi...
International audience—The aim of this paper is to apply probabilistic load flow methods on a three ...
Large integration of solar Photo Voltaic (PV) in distribution network has resulted in over-voltage p...
Distributed generation such as photovoltaic is more encouraged by government policies to exploit the...
This paper reviews the development of the probabilistic load flow (PLF) techniques. Applications of ...
Increasing decentralized solar and wind power production, introduces uncertainty in the electricity ...
The load flow problem is fundamental to characterize the equilibrium behavior of a power system. Unc...
The power flow techniques are of great importance for the modern distribution network expansion plan...
In a power system with high penetration of variable Renewable Energy Sources (vRES), the high uncert...
International audienceExploitation of renewable energy sources in power networks, especially wind en...
Renewable resources integration through distributed generation (DG) affects conventional considerati...
This paper aims at presenting a novel effective approach to probabilistic analysis of distribution p...
This paper investigates residential distribution networks with uncertain loads and photovoltaic dist...
Increasing decentralized and renewable power production, which is mainly installed in distribution n...
This chapter presents the formulation and application of a comprehensive tool to perform the probabi...