Results 151 to 160 of about 9,967,778 (178)

A Microcapsule‐Integrated smRandom‐seq Platform Enables Fixation‐Free Single Microbe RNA Sequencing

Advanced Science, EarlyView.
We developed a microcapsule‐integrated high‐throughput fixation‐free single‐microbe RNA‐seq workflow in which microbes are encapsulated in aqueous two‐phase microcapsules for physical confinement of nucleic acids. This platform enables co‐encapsulation with barcoded beads for sequencing and reveals that fixation‐free processing enhances transcriptomic ...
Mengdi Song, Yuting Wang, Zhaolun Wang, Shunji Zhang, Zhengmin Tang, Yongcheng Wang   +5 more
wiley   +1 more source

Engineering Large‐Grain Metal Halide Perovskite Films via Chemical Vapor Deposition for High‐Performance, Ultralow‐Noise Perovskite Photodetectors

Advanced Science, EarlyView.
Chemical vapor deposition produces large‐grain, phase‐pure CsPbBr3 films (grains up to 35 µm) with Drude‐like terahertz photoconductivity and twofold higher carrier mobility versus spin‐coated references. These microstructural advances translate into photodetectors with a detectivity of 8.4 × 1012 Jones, dark current below 1 pA cm−2, X‐ray sensitivity ...
Roel Vanden Brande, Sudipta Seth, Lei Gao, Bapi Pradhan, Dilkhush Khicher, Anastasiia Bazylevska, Wei Qu, Christian Sternemann, Hai Wang, Steven De Feyter, Weidong Xu, Fei Zhang, Mischa Bonn, Johan Hofkens, Elke Debroye   +14 more
wiley   +1 more source

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Nonparametric Probabilistic Optimal Power Flow

IEEE Transactions on Power Systems, 2022
With the increasing penetration of renewable energy, accurate and efficient probabilistic optimal power flow (POPF) calculation becomes more and more important to provide decision support for secure and economic operation of power systems. This paper develops a novel nonparametric probabilistic optimal power flow (N-POPF) model describing the ...
Yunyi Li, Can Wan, Dawei Chen, Yonghua Song   +3 more
openaire   +1 more source

Probabilistic optimal power flow

Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341), 2002
This paper presents a new formulation and solution approach to a probabilistic optimal power flow (POPF) problem. In this formulation, system demand is taken as a random vector of correlated variables, which allows us to consider the dependence between load types and locations. The POPF is clearly formulated and the optimality conditions are considered
M. Madrigal, K. Ponnambalam, V.H. Quintana   +2 more
openaire   +1 more source

Probabilistic Optimal Power Flow Applications to Electricity Markets

2006 International Conference on Probabilistic Methods Applied to Power Systems, 2006
This paper presents the comparison of two solution methods for Probabilistic Optimal Power Flow problems; namely, the Two-Point Estimate Method (2PEM) and the Cumulant Method (CM). The goal of the P-OPF problem is to determine the probability distributions for all random variables in the problem.
Gregor Verbic, Antony Schellenberg, William Rosehart, Claudio A. Canizares   +3 more
openaire   +2 more sources

Optimal power flow using probabilistic load model

Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05., 2005
Optimal power flow (OPF) analysis has been an area attracting lots of researchers. Much computational efforts have been exercised for the last several years to develop mathematical models and computational techniques to solve OPF problems. Conventional OPF studies are carried out considering the injections at the bus to be deterministic.
M. Shukla, G. Radman
openaire   +1 more source

Probabilistic security-constrained AC optimal power flow

2013 IEEE Grenoble Conference, 2013
We propose a probabilistic framework for designing an N-1 secure dispatch for systems with fluctuating power sources. This could be used in various optimal power flow related applications, however in this work, we demonstrate our approach for a day-ahead planning problem.
Maria Vrakopoulou, Marina Katsampani, Kostas Margellos, John Lygeros, Goran Andersson   +4 more
openaire   +1 more source

Probabilistic optimal power flow using unscented transformation

2015 North American Power Symposium (NAPS), 2015
Renewable energy-based generation causes uncertainties in power system operation and planning due to its stochastic nature. Probabilistic optimal power flow (POPF) is a tool to solve for the random variables of this nonlinear power flow problem. In this paper, the unscented transformation (UT) is utilized to solve POPF with correlated random variables ...
C. Qiao, H. Livani, M. Sami Fadali
openaire   +1 more source

Toward Fast Calculation of Probabilistic Optimal Power Flow

IEEE Transactions on Power Systems, 2019
With the rapid growth of renewables, probabilistic optimal power flow (POPF) has become an important tool to analyze uncertainties in power systems. However, POPF calculation involves repeatedly solving the optimization problem. The computational efficiency has been a major bottleneck for its practical application in power industries.
Wei Lin, Zhifang Yang, Juan Yu, Shiyuan Bao, Wei Dai   +4 more
openaire   +1 more source

Optimal Power Flow Models With Probabilistic Guarantees: A Boolean Approach

IEEE Transactions on Power Systems, 2020
The legacy Optimal Power Flow (OPF) dispatch in electric power grids with high proliferation of renewables can be at risk due to the lack of awareness on major uncertainties, and sudden changes in renewable outputs. This may, in turn, result in conditions where transmission line power flows are significantly exceeded, and subsequent automatic ...
Miguel A. Lejeune, Payman Dehghanian
openaire   +1 more source