Hosting capacity of photovoltaic systems in low voltage distribution systems: A benchmark of deterministic and stochastic approaches

A Koirala, T Van Acker, R D'hulst… - … and Sustainable Energy …, 2022 - Elsevier
This paper compares and benchmarks different methods to calculate the hosting capacity of
low voltage distribution systems for residential photovoltaic generation. The low voltage …

Chaotic time series forecasting approaches using machine learning techniques: A review

B Ramadevi, K Bingi - Symmetry, 2022 - mdpi.com
Traditional statistical, physical, and correlation models for chaotic time series prediction
have problems, such as low forecasting accuracy, computational time, and difficulty …

Uncertainty quantification in low voltage distribution grids: Comparing Monte Carlo and general polynomial chaos approaches

A Koirala, T Van Acker, R D'hulst… - Sustainable Energy, Grids …, 2022 - Elsevier
Abstract Changes in load and distributed generation in low voltage distribution systems
(LVDS) have made the individual consumer offtake highly uncertain for the system operator …

Decoupled probabilistic feeder hosting capacity calculations using general polynomial chaos

A Koirala, MU Hashmi, R D'hulst… - Electric Power Systems …, 2022 - Elsevier
This paper introduces a decoupled method of calculating the PV hosting capacity of low
voltage distribution system (LVDS) feeders for new solar photovoltaics (PV) installations …

General polynomial chaos in the current–voltage formulation of the optimal power flow problem

T Van Acker, F Geth, A Koirala, H Ergun - Electric Power Systems Research, 2022 - Elsevier
Mathematical optimization techniques play a key role in enabling the power system
transition to sustainable energy and are used for a variety of applications such as scenario …

Probabilistic loss sensitivity analysis in power distribution systems

M Abujubbeh, S Munikoti, A Pahwa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Power distribution systems are changing due to renewable energy integration, electric
vehicle penetration and active consumers engaging in the energy market. Therefore, utilities …

Implementing stochastic response surface method and Copula in the presence of data-driven PV source models

H Palahalli, P Maffezzoni, P Arboleya… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As PV penetration in the power distribution network is growing on an unprecedented scale,
probabilistic power flow analysis is becoming crucial to assess the health of network …

Global Sensitivity and Uncertainty Analysis for Thermal Design of Axially Laminated Synchronous Reluctance Machine

S Singh, E Scherman, I Petrov… - 2024 International …, 2024 - ieeexplore.ieee.org
A polynomial chaos based surrogate modeling method to quantify the uncertainties and
perform the global sensitivity analysis for a thermal model of the electrical machine is …