A review on distribution system state estimation algorithms
M Fotopoulou, S Petridis, I Karachalios… - Applied Sciences, 2022 - mdpi.com
The modern energy requirements and the orientation towards Renewable Energy Sources
(RES) integration promote the transition of distribution grids from passive, unidirectional …
(RES) integration promote the transition of distribution grids from passive, unidirectional …
A review on distribution system state estimation uncertainty issues using deep learning approaches
Y Raghuvamsi, K Teeparthi - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
This study highlights the research works on different uncertainty issues encountered in
distribution system state estimation (DSSE). The DSSE plays a crucial role since the …
distribution system state estimation (DSSE). The DSSE plays a crucial role since the …
A survey on state estimation techniques and challenges in smart distribution systems
This paper presents a review of the literature on state estimation (SE) in power systems.
While covering works related to SE in transmission systems, the main focus of this paper is …
While covering works related to SE in transmission systems, the main focus of this paper is …
Chance-constrained peer-to-peer joint energy and reserve market considering renewable generation uncertainty
Due to the fast development of distributed energy resources and demand-side response
management, agents in electricity markets are becoming more proactive, which boosts the …
management, agents in electricity markets are becoming more proactive, which boosts the …
Hierarchically-coordinated voltage/VAR control of distribution networks using PV inverters
Photovoltaic (PV) inverters can provide fast and flexible reactive power support for voltage
regulation and power loss reduction in distribution networks. Conventionally, central and …
regulation and power loss reduction in distribution networks. Conventionally, central and …
Bayesian state estimation for unobservable distribution systems via deep learning
KR Mestav, J Luengo-Rozas… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The problem of state estimation for unobservable distribution systems is considered. A deep
learning approach to Bayesian state estimation is proposed for real-time applications. The …
learning approach to Bayesian state estimation is proposed for real-time applications. The …
Distribution system planning with incorporating DG reactive capability and system uncertainties
K Zou, AP Agalgaonkar, KM Muttaqi… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Distributed generation (DG) systems are considered an integral part in future distribution
system planning. The active and reactive power injections from DG units, typically installed …
system planning. The active and reactive power injections from DG units, typically installed …
Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering …
New smart load management (SLM) approach for the coordination of multiple plug-in
electric vehicle (PEV) chargers in distribution feeders is proposed. PEVs are growing in …
electric vehicle (PEV) chargers in distribution feeders is proposed. PEVs are growing in …
Distribution system state estimation using an artificial neural network approach for pseudo measurement modeling
This paper presents an alternative approach to pseudo measurement modeling in the
context of distribution system state estimation (DSSE). In the proposed approach, pseudo …
context of distribution system state estimation (DSSE). In the proposed approach, pseudo …
Modeling the fundamental diagram of mixed human-driven and connected automated vehicles
Traffic flow fundamental diagram (FD) is viewed as the basis of traffic flow theory and has
various applications in transportation. However, the fundamental diagram of mixed human …
various applications in transportation. However, the fundamental diagram of mixed human …