Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach

M Aien, M Rashidinejad, MF Firuz-Abad - Renewable and Sustainable …, 2015 - Elsevier
Hastening the power industry reregulation juxtaposed with the unprecedented utilization of
uncertain renewable energies (REs), faces power system operation with sever uncertainties …

Decentralized unscented Kalman filter based on a consensus algorithm for multi-area dynamic state estimation in power systems

X Qing, HR Karimi, Y Niu, X Wang - … Journal of Electrical Power & Energy …, 2015 - Elsevier
A decentralized unscented Kalman filter (UKF) method based on a consensus algorithm for
multi-area power system dynamic state estimation is presented in this paper. The overall …

Probabilistic joint state estimation for operational planning

Y Weng, R Negi, MD Ilić - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
Due to a high penetration of renewable energy, power systems operational planning today
needs to capture unprecedented uncertainties in a short period. Fast probabilistic state …

Microgeneration of wind energy for micro and small businesses: application of ann in sensitivity analysis for stochastic economic feasibility

LS Lacerda, PR Junior, RS Peruchi, G Chicco… - IEEE …, 2020 - ieeexplore.ieee.org
To reduce the risks of a new energy crisis and increase energy availability, the use of
renewable energy sources (RES) is important and recommended. In Brazil, micro and small …

[图书][B] Data Science and Applications for Modern Power Systems

L Xie, Y Weng, R Rajagopal - 2023 - Springer
Measurement data has been with the operation and planning of large power grid since its
inception. However, it was really since early 2010s that the confluence of massive amount of …

Statistical Analysis of the Measurement Data Manipulation Impact on Power System State Estimation.

P Kishore, SS Datta… - … Journal on Electrical …, 2021 - search.ebscohost.com
The integration of information and communication technology, and cyber components,
electricity infrastructures have made power systems more open and accessible from outside …

Optimal placement of pmus for power system state estimation

B Mishra, SS Thakur, S Mallick… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The proposed method presents a unique approach to state estimation (SE) for power
systems based on the placement of Phasor Measurement Units optimally (PMU) using …

Adaptive Tolerant State Estimation under Model Uncertainty in Power Systems

R Ma - Energies, 2021 - mdpi.com
In this paper an adaptive tolerant estimator using singular value decomposition is proposed
for a distribution network under model uncertainty in power systems. The adaptive tolerant …

Probabilistic Optimal Power Flow Method for HVAC/DC Systems Considering Wind Power Correlation

J Zhao, Y Wang, Y Xue - 2023 IEEE 7th Conference on Energy …, 2023 - ieeexplore.ieee.org
Due to the volatility and randomness of wind power, the wind power integration has an
impact on the safe and stable operation of high voltage alternative/direct current systems …

Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation

OJ Mengshoel, PK Sundararajan, E Reed… - Data Analytics for …, 2018 - Springer
Increased availability of renewable energy sources, along with novel techniques for power
flow control, open up a broad range of interesting challenges and opportunities in power …