Data-based continuous wind speed models with arbitrary probability distribution and autocorrelation

GM Jónsdóttir, F Milano - Renewable Energy, 2019 - Elsevier
The paper presents a systematic method to build dynamic stochastic models from wind
speed measurement data. The resulting models fit any probability distribution and any …

Impacts of grid‐scale battery systems on power system operation, case of Baltic region

R AhmadiAhangar, F Plaum, T Haring, I Drovtar… - IET Smart …, 2024 - Wiley Online Library
Grid stability can be affected by the large‐scale utilisation of renewable energy sources
because there are fluctuations in generation and load. These issues can be effectively …

Delay differential equations modeling of rumor propagation in both homogeneous and heterogeneous networks with a forced silence function

L Zhu, W Liu, Z Zhang - Applied Mathematics and Computation, 2020 - Elsevier
The emergence of rumors is subjective and aggressive which will bring disturbance and
misleading to people's lives. This paper is dedicated to comprehensively investigating the …

Modeling the dynamics of rumor diffusion over complex networks

L Zhu, F Yang, G Guan, Z Zhang - Information Sciences, 2021 - Elsevier
Rumor propagation on complex networks is rapidly affecting people's life. As we all know,
the regulatory control of rumors by regulators has a specific impact on the spread of rumors …

Artificial intelligence and mathematical models of power grids driven by renewable energy sources: A survey

S Srinivasan, S Kumarasamy, ZE Andreadakis… - Energies, 2023 - mdpi.com
To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …

Long-term voltage stability with large-scale solar-photovoltaic (PV) generation

E Munkhchuluun, L Meegahapola… - International Journal of …, 2020 - Elsevier
The dynamic characteristics of power grids have substantially evolved over the last two
decades due to the large-scale integration of power-electronic converter (PEC)-interfaced …

Photovoltaic power prediction based on hybrid modeling of neural network and stochastic differential equation

Y Zhang, L Kong - ISA transactions, 2022 - Elsevier
With the increasing influence of new energy power system, the prediction of Photovoltaic
(PV) output power becomes more and more important In this paper, it is the first time to put …

A scenario-based analytical method for probabilistic load flow analysis

C Wang, C Liu, F Tang, D Liu, Y Zhou - Electric power systems research, 2020 - Elsevier
In recent years, power system uncertainties have increased due to the growing integrations
of intermittent renewable energy resources. It is imperative to introduce probabilistic load …

Probabilistic power flow calculation using non-intrusive low-rank approximation method

H Sheng, X Wang - IEEE Transactions on Power Systems, 2019 - ieeexplore.ieee.org
In this paper, a novel non-intrusive probabilistic power flow (PPF) analysis method based on
the low-rank approximation (LRA) is proposed, which can accurately and efficiently estimate …

Analytic analysis for dynamic system frequency in power systems under uncertain variability

H Li, P Ju, C Gan, S You, F Wu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a new systematic method is proposed to analyze the system frequency in
power systems under uncertain variability (UV). UV gradually increases in power systems …