Results 41 to 50 of about 330,060 (260)

Line Loss Interval Algorithm for Distribution Network with DG Based on Linear Optimization under Abnormal or Missing Measurement Data

Energies, 2022
Data collection is more difficult in distribution network than transmission networks since the structure of distribution networks is more complex. As a result, data could be partly abnormal or missing, which cannot completely describe the operation ...
Chen Liang, Chang Chen, Weizhou Wang, Xiping Ma, Yuying Li, Tong Jiang   +5 more
doaj   +1 more source

Data-driven Power Flow Linearization: Theory

CoRR
This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a domain gaining increased attention. DPFL stands out for its higher approximation accuracy, wide adaptability, and better ability to implicitly incorporate the latest system attributes.
Mengshuo Jia, Gabriela Hug, Ning Zhang 0008, Zhaojian Wang, Yi Wang 0022, Chongqing Kang   +5 more
openaire   +3 more sources

A Stochastic Model Predictive Control Method for Tie-Line Power Smoothing under Uncertainty

Energies
With the high proportion of distributed energy resource (DER) access in the distributed network, the tie-line power should be controlled and smoothed to minimize power flow fluctuations due to the uncertainty of DER.
Molin An, Xueshan Han, Tianguang Lu
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

An online updated linear power flow model based on regression learning

IET Generation, Transmission & Distribution
The linear power flow (LPF) model is widely used in the optimization, operation, and control of distribution networks. These applications require the LPF model to be accurate, fast, and simple in order to simplify calculations as well as to efficiently ...
Molin An, Tianguang Lu, Xueshan Han
doaj   +1 more source

A Data-Driven Optimal Power Flow Model under Partial Observability

Zhongguo dianli, 2023
The linearized power flow (PF) model is mainly used to make the optimal power flow (OPF) problem convex. However, existing data-driven linear PF models are mostly based on complete system measurement data.
Penghua LI, Zhuoran SONG, Wenchuan WU
doaj   +1 more source

Data-driven Power Flow Linearization: Simulation

CoRR
26 ...
Mengshuo Jia, Gabriela Hug, Ning Zhang 0008, Zhaojian Wang, Yi Wang 0022, Chongqing Kang   +5 more
openaire   +2 more sources

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Optimal linear power flow for droop controlled islanded microgrid

International Journal of Electrical Power & Energy Systems
The time of optimal planning and operation of islanded microgrid (IMG) can be minimized by modeling it as non-iterative mixed integer linear problem (MILP).
Ankit Uniyal, Saumendra Sarangi, Mahiraj Singh Rawat   +2 more
doaj   +1 more source

A novel linearized power flow approach for transmission and distribution networks

Journal of Computational and Applied Mathematics, 2021
Abstract Power flow computations are important for operation and planning of the electricity grid, but are computationally expensive because of nonlinearities and the size of the system of equations. Linearized methods reduce computational time but often have the disadvantage that they are not applicable to general grids.
Baljinnyam Sereeter, Anne S. Markensteijn, Marieke E. Kootte, Cornelis Vuik   +3 more
openaire   +3 more sources