Uncertainty modeling of distributed energy resources: techniques and challenges
Abstract Purpose of Review Integration of distributed energy resources (DERs) brings huge
challenges to distribution systems. Among many control room applications, distribution …
challenges to distribution systems. Among many control room applications, distribution …
Assessment on power systems non-deterministic state estimation algorithms
I Lopez-Ramirez, JE Rodriguez-Seco… - Electric Power Systems …, 2023 - Elsevier
Power systems are operated in a deterministic way. However, the increase in uncertainties
(caused by measurement and communication errors or the absence of complete knowledge …
(caused by measurement and communication errors or the absence of complete knowledge …
Interval state estimation with uncertainty of distributed generation and line parameters in unbalanced distribution systems
Distribution system state estimation, which provides critical information for system monitoring
and control, is being challenged by multiple sources of uncertainties such as random meter …
and control, is being challenged by multiple sources of uncertainties such as random meter …
Interval state estimation for low-voltage distribution systems based on smart meter data
The real-time monitoring and control of distribution systems are an essential step toward the
future smart grid. This paper presents an interval state estimation model for low-voltage (LV) …
future smart grid. This paper presents an interval state estimation model for low-voltage (LV) …
Interval method for uncertain power flow analysis based on Taylor inclusion function
X Liao, K Liu, Y Zhang, K Wang… - IET Generation …, 2017 - Wiley Online Library
Interval arithmetic has been successfully applied to uncertain power flow analysis for power
system, which aims at obtaining the upper and lower bounds of power flow solutions under …
system, which aims at obtaining the upper and lower bounds of power flow solutions under …
[HTML][HTML] Improved unscented Kalman filter based interval dynamic state estimation of active distribution network considering uncertainty of photovoltaic and load
J Wu, K Lin, F Wu, Z Wang, L Shi, Y Li - Frontiers in Energy Research, 2023 - frontiersin.org
State estimation of active distribution network (ADN) plays an important role in distribution
energy management system. The increase penetration of distributed generations, especially …
energy management system. The increase penetration of distributed generations, especially …
Interval state estimation of electricity-gas systems considering uncertainties of network parameters and measurements
Y Huang, L Feng - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
The large-scale coverage of electricity–gas systems makes the demand for system status
monitoring increase continuously. Nevertheless, the imprecise system parameters and …
monitoring increase continuously. Nevertheless, the imprecise system parameters and …
Linear programming contractor for interval distribution state estimation using RDM arithmetic
VC Ngo, W Wu - IEEE Transactions on Power Systems, 2020 - ieeexplore.ieee.org
State estimation (SE) of distribution networks heavily relies on pseudo measurements that
introduce significant errors, since real-time measurements are insufficient. Interval SE …
introduce significant errors, since real-time measurements are insufficient. Interval SE …
An interval Taylor-based method for transient stability assessment of power systems with uncertainties
X Liao, K Liu, H Niu, J Luo, Y Li, L Qin - International Journal of Electrical …, 2018 - Elsevier
Transient stability assessment needs to be further studied when confronted with
uncertainties brought in by the integration of renewable energy and measurement errors …
uncertainties brought in by the integration of renewable energy and measurement errors …
Deriving power uncertainty intervals for low voltage grid state estimation using affine arithmetic
M Schmidt, P Schegner - Electric Power Systems Research, 2020 - Elsevier
Pseudo-measurements are usually applied as substitutes for measurement data to obtain
observability even in case of sparse measurement configurations. The quality of pseudo …
observability even in case of sparse measurement configurations. The quality of pseudo …