Results 11 to 20 of about 7,903,389 (203)

Probabilistic security constrained fuzzy power flow models [PDF]

open access: yes2016 51st International Universities Power Engineering Conference (UPEC), 2016
In restructured power systems, generation and commercialization activities became market activities, while transmission and distribution activities continue as regulated monopolies. As a result, the adequacy of transmission network should be evaluated independent of generation system.
Gouveia, Eduardo   +3 more
openaire   +4 more sources

Leveraging sanitized data for probabilistic electricity market prediction: a Singapore case study

open access: yesFrontiers in Energy Research, 2023
In deregulated electricity markets, predicting price and load is a common practice. However, market participants and shareholders often seek deeper insights into other system statuses associated with price prediction, such as power flow and market share ...
Ning Zhou Xu   +4 more
doaj   +1 more source

Reduced order extended cumulative estimation of probabilistic power flow considering uncertain PV-EVs

open access: yesDianzi Jishu Yingyong, 2018
In order to improve the accuracy and effectiveness of probabilistic power flow analysis in modern power system, a reduced order extended cumulant estimation method for probabilistic power flow Cornish-Fisher series(CFM) considering uncertain photovoltaic
Liu Yuanyuan
doaj   +1 more source

Preventive Security-Constrained Optimal Power Flow with Probabilistic Guarantees

open access: yesEnergies, 2020
The traditional security-constrained optimal power flow (SCOPF) model under the classical N-1 criterion is implemented in the power industry to ensure the secure operation of a power system.
Hang Li   +3 more
doaj   +1 more source

A method for modeling voltage regulators in probabilistic load flow for radial systems [PDF]

open access: yes, 2017
Probabilistic load flow is becoming a more useful and needed power system analysis technique with the increase of stochastic generation and demand. This paper improves the usefulness of probabilistic load flow by demonstrating an algorithm for modeling ...
Dimitrovski, A., Melhorn, Alexander C.
core   +1 more source

A Nonlinear Analytical Algorithm for Predicting the Probabilistic Mass Flow of a Radial District Heating Network

open access: yesEnergies, 2019
This paper develops a nonlinear analytical algorithm for predicting the probabilistic mass flow of radial district heating networks based on the principle of heat transfer and basic pipe network theory.
Guoqiang Sun   +7 more
doaj   +1 more source

Loss Reduction in Distribution Networks With DG Units by Correlating Taguchi Method and Genetic Algorithm [PDF]

open access: yesIranian Journal of Electrical and Electronic Engineering, 2022
Optimal power flow is an essential tool in the study of power systems. Distributed generation sources increase network uncertainties due to their random behavior, so the optimal power flow is no longer responsive and the probabilistic optimal power flow ...
M. Najjarpour, B. Tousi, S. Jamali
doaj  

Probabilistic power flow with Paduan algorithm [PDF]

open access: yes, 2023
openL’utilizzo del Probabilistic Load Flow è stato fin dai primi tempi dedicato allo studio sugli errori di previsione dell’assorbimento di energia da parte dei carichi e alla probabilità di disservizi della rete e su come quest’ultime considerazioni ...
OSTI, NICCOLÒ
core  

The Polish Practice of Probabilistic Approach in Power System Development Planning

open access: yesEnergies, 2020
Power systems can be analyzed using either a deterministic or a probabilistic approach. The deterministic analysis centers on studying the quantities and indicators that characterize the operating states of the power system under strictly defined ...
Maksymilian Przygrodzki, Paweł Kubek
doaj   +1 more source

Probabilistic power flow computation using nested point estimate method

open access: yesIET Generation, Transmission & Distribution, 2022
The probabilistic power flow (PPF) computation involves quantifying and propagating uncertainty over hundreds of variables. Zhao's point estimate method (PEM) has been widely used for PPF computation, and the computational burden increases linearly with ...
Qing Xiao, Lianghong Wu, Chaoyang Chen
doaj   +1 more source

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