다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

MATPOWER is an open-source Matlab-based power system simulation package that provides a high-level set of power flow, optimal power flow (OPF), and other tools targeted toward researchers, educators, and students. The OPF architecture is designed to be extensible, making it easy to add user-defined variables, costs, and constraints to the standard OPF problem. This paper presents the details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture. This structure is used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits. Simulation results are presented for a number of test cases comparing the performance of several available OPF solvers and demonstrating MATPOWER's ability to solve large-scale AC and DC OPF problems.

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MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

We explore in this chapter questions of existence and uniqueness for solutions to stochastic differential equations and offer a study of their properties. This endeavor is really a study of diffusion processes. Loosely speaking, the term diffusion is attributed to a Markov process which has continuous sample paths and can be characterized in terms of its infinitesimal generator.

Stochastic Differential Equations

Objective
To present the International Parkinson and Movement Disorder Society (MDS) Clinical Diagnostic Criteria for Parkinson9s disease.
Background
Although several diagnostic criteria for Parkinson9s disease have been proposed, none have been officially adopted by an official Parkinson society. Moreover, the commonest-used criteria, the UK brain bank, were created more than 25 years ago. In recognition of the lack of standard criteria, the MDS initiated a task force to design new diagnostic criteria for clinical Parkinson9s disease.
Methods/Results
The MDS-PD Criteria are intended for use in clinical research, but may also be used to guide clinical diagnosis. The benchmark is expert clinical diagnosis; the criteria aim to systematize the diagnostic process, to make it reproducible across centers and applicable by clinicians with less expertise. Although motor abnormalities remain central, there is increasing recognition of non-motor manifestations; these are incorporated into both the current criteria and particularly into separate criteria for prodromal PD. Similar to previous criteria, the MDS-PD Criteria retain motor parkinsonism as the core disease feature, defined as bradykinesia plus rest tremor and/or rigidity. Explicit instructions for defining these cardinal features are included. After documentation of parkinsonism, determination of PD as the cause of parkinsonism relies upon three categories of diagnostic features; absolute exclusion criteria (which rule out PD), red flags (which must be counterbalanced by additional supportive criteria to allow diagnosis of PD), and supportive criteria (positive features that increase confidence of PD diagnosis). Two levels of certainty are delineated: Clinically-established PD (maximizing specificity at the expense of reduced sensitivity), and Probable PD (which balances sensitivity and specificity).
Conclusion
The MDS criteria retain elements proven valuable in previous criteria and omit aspects that are no longer justified, thereby encapsulating diagnosis according to current knowledge. As understanding of PD expands, criteria will need continuous revision to accommodate these advances. Disclosure: Dr. Postuma has received personal compensation for activities with Roche Diagnostics Corporation and Biotie Therapies. Dr. Berg has received research support from Michael J. Fox Foundation, the Bundesministerium fur Bildung und Forschung (BMBF), the German Parkinson Association and Novartis GmbH.

MDS Clinical Diagnostic Criteria for Parkinson's Disease (S19.001)

Numerical Initial Value Problems in Ordinary Differential Equations

With increasing DC grid connections between non-synchronous AC systems it is desirable that DC connections would take a role in frequency regulation for connected AC grids. A number of primary and secondary P and PI based controllers have been designed previously for this purpose. Here Model Predictive Control is proposed for including DC power controllers in the provision of Automatic Generation Control.

Model Predictive Control based AGC for multi-terminal DC grids

Photovoltaic power plants connected to the high voltage transmission network are requested to support grid voltage regulation. This paper proposes a voltage and reactive power control for PV power plants based on a hierarchical voltage control which is typical in transmission systems but that has not been considered so far for distribution systems. The effectiveness of the proposed control scheme is duly discussed in the paper and tested through simulations.

Coordinated voltage control of multi-converter power plants operating in transmission systems. The case of photovoltaics

This letter proposes an application of the Benford’s law for the detection of cyber attacks in power system state estimators. Benford’s law, also known as 1st-digit law, states an unexpected property of the distribution of the first digit of certain sets of data, and has been found to apply to a surprisingly wide range of data domains. The first novel contribution of the letter is to show that the Benford’s law applies to power system data as well. A relevant property of this law is its high sensitivity to manipulations and, in fact, it is often utilized to detect frauds. Based on this feature, the second contribution of the letter is to utilize the Benford’s law to detect malicious data introduced by hackers in the supervisory control and data acquisition (SCADA) system of a transmission network. Tests based on power system models ranging from 9 to 21,177 buses show promising results.

Detection of Cyber-Attacks of Power Systems Through Benford’s Law

Localization of eddy current probe in Nondestructive Testing allows merging the information of defect detection with positions Typically, this task requires the usage of additional and costly position measurement systems or software assisted handlers in controlled laboratory conditions However, many of these tests require free hand movements of the eddy current probes In addition, in many industrial applications low cost is a stringent requirement This paper proposes a novel solution to comply with the proposed issues In particular, the paper describes the usage of a magnetic 2D wireless localization method, able to track the probe position during the execution of Nondestructive Tests To the best of our knowledge, such approach is novel and promises to accomplish the localization issue in Nondestructive Testing by means of low-cost hardware Moreover, it is characterized by a light computational burden, since it reuses most of the equipment already needed for the test itself Preliminary results, proving the suitability of a real time simultaneous testing and localization system, are reported in this paper

Probe Localization by Magnetic Measurements in Eddy-Current Nondestructive Testing Environment

This chapter describes the optimal power flow problem. Section 6.1 provides the background of the OPF problem and justifies the need for numerical methods. Section 6.2 provides a general nonlinear programming model for the OPF problem. A variety of examples are also provided in this section. Section 6.3 describes two solver methods for tackling the OPF problem, namely the generalized reduced gradient and the primal-dual interior-point methods. For the latter method, the Python implementation and numerical results are also provided. Finally, Section 6.4 summarizes common parameters of the interior point method.

Federico Milano

Papers

Model Predictive Control based AGC for multi-terminal DC grids

Coordinated voltage control of multi-converter power plants operating in transmission systems. The case of photovoltaics

Detection of Cyber-Attacks of Power Systems Through Benford’s Law

Probe Localization by Magnetic Measurements in Eddy-Current Nondestructive Testing Environment

Optimal Power Flow Analysis