scholarly journals A Novel Framework for Synchrophasor Based Online Recognition and Efficient Post-Mortem Analysis of Disturbances in Power Systems

2020 ◽  
Vol 10 (15) ◽  
pp. 5209
Author(s):  
Andre Kummerow ◽  
Cristian Monsalve ◽  
Christoph Brosinsky ◽  
Steffen Nicolai ◽  
Dirk Westermann

Synchrophasor based applications become more and more popular in today’s control centers to monitor and control transient system events. This can ensure secure system operation when dealing with bidirectional power flows, diminishing reserves and an increased number of active grid components. Today’s synchrophasor applications provide a lot of additional information about the dynamic system behavior but without significant improvement of the system operation due to the lack of interpretable and condensed results as well as missing integration into existing decision-making processes. This study presents a holistic framework for novel machine learning based applications analyzing both historical as well as online synchrophasor data streams. Different methods from dimension reduction, anomaly detection as well as time series classification are used to automatically detect disturbances combined with a web-based online visualization tool. This enables automated decision-making processes in control centers to mitigate critical system states and to ensure secure system operations (e.g., by activating curate actions). Measurement and simulation-based results are presented to evaluate the proposed synchrophasor application modules for different use cases at the transmission and distribution level.

Author(s):  
M. Holzer ◽  
R. W. Schwester

Cynicism toward government is largely a function of trust and social capital (Berman 1997; Putnam 2000). The relationship between government and its citizens has been strained. First, some citizens cynically feel as though government officials abuse their powers in the interest of self-aggrandizement; second, citizens often feel disconnected from government; third, government service delivery is frequently portrayed as inadequate. Administrative strategies to reverse these perceptions typically emphasize the benefits of government and improved service delivery. Some go further, offering individuals a means of influencing public policy and government decision-making, as opposed to traditional structures and cultures of policymaking that minimize citizen input. The Internet is a potentially powerful means for citizen consultation, and may help cultivate a governmental landscape in which information is more accessible, people feel more connected to government, and citizens are better able to participate in political and decision-making processes. This article examines the Internet as a consultative medium, whereby emphasis is placed on government efforts to use Web-based applications as a means of promoting meaningful citizen participation.


2011 ◽  
pp. 2867-2874
Author(s):  
Mark Holzer ◽  
Richard W. Schwester

Cynicism toward government is largely a function of trust and social capital (Berman 1997; Putnam 2000). The relationship between government and its citizens has been strained. First, some citizens cynically feel as though government officials abuse their powers in the interest of self-aggrandizement; second, citizens often feel disconnected from government; third, government service delivery is frequently portrayed as inadequate. Administrative strategies to reverse these perceptions typically emphasize the benefits of government and improved service delivery. Some go further, offering individuals a means of influencing public policy and government decision-making, as opposed to traditional structures and cultures of policymaking that minimize citizen input. The Internet is a potentially powerful means for citizen consultation, and may help cultivate a governmental landscape in which information is more accessible, people feel more connected to government, and citizens are better able to participate in political and decision-making processes. This article examines the Internet as a consultative medium, whereby emphasis is placed on government efforts to use Web-based applications as a means of promoting meaningful citizen participation.


Author(s):  
Ali Ahmed ◽  
Abdulaziz Elfessi

This study investigated factors that influence students’ decision-making processes in selecting a classroom or online course, student technology skills and experience, and concerns students have about Internet integration. Students completed a survey questionnaire and web-based pretests and posttests. A Likert scale instrument was completed by students in both a control group and an experimental group. Independent two-sample t-tests and an analysis of covariance (ANCOVA), using the initial score as the covariate, were conducted. Level of significance (alpha) was set at .05 to achieve statistical significance for all analyses. Both groups in this study were full-time, on-campus students with access to the same technology resources. Findings reveal that students’ perceptions and experiences were quite similar.


Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4603
Author(s):  
Timothy Sands

To aid the development of future unmanned naval vessels, this manuscript investigates algorithm options for combining physical (noisy) sensors and computational models to provide additional information about system states, inputs, and parameters emphasizing deterministic options rather than stochastic ones. The computational model is formulated using Pontryagin’s treatment of Hamiltonian systems resulting in optimal and near-optimal results dependent upon the algorithm option chosen. Feedback is proposed to re-initialize the initial values of a reformulated two-point boundary value problem rather than using state feedback to form errors that are corrected by tuned estimators. Four algorithm options are proposed with two optional branches, and all of these are compared to three manifestations of classical estimation methods including linear-quadratic optimal. Over ten-thousand simulations were run to evaluate each proposed method’s vulnerability to variations in plant parameters amidst typically noisy state and rate sensors. The proposed methods achieved 69–72% improved state estimation, 29–33% improved rate improvement, while simultaneously achieving mathematically minimal costs of utilization in guidance, navigation, and control decision criteria. The next stage of research is indicated throughout the manuscript: investigation of the proposed methods’ efficacy amidst unknown wave disturbances.


Author(s):  
J. Hayes ◽  
A. Moore ◽  
G. Benwell ◽  
B. L. W. Wong

To understand the decision making processes of fourteen ambulance command and control (C2) operators, interviews employing the critical decision method were conducted in two ambulance C2 centres. An emergent themes analysis of the interview transcripts resulted in the identification of the strategies used by the operators when making dispatch decisions. To complement this work, factors that were considered to contribute to the complexity of the decision making task were identified and then rated by the operators to determine the extent of this contribution. As a result the researchers obtained quantitative data regarding the factors that were considered to contribute the greatest to the complexity of the dispatch task from the view point of the operators. The benefits of this approach include the identification of cognitive 'choke points' in the dispatch process that can be addressed during interface design.


2011 ◽  
Vol 201-203 ◽  
pp. 1632-1641 ◽  
Author(s):  
Ya Shuang Gao ◽  
Mark P. Taylor ◽  
John J.J. Chen ◽  
Michael J. Hautus

In aluminium smelters, the operational staffs constantly face decision making situations for operation and process control and these decisions can have significant impact on the process. The smelting process involves highly complex mechanisms and has rich information but low observability. In this environment, without support tools, systematic information management, or robust control models, decision making is challenging. This paper discusses different types of decision making processes and demonstrates that naturalistic decision making models (Recognition-Primed Decision Making, ie RPD) are more suitable to describe the situations in smelters. A model which combines an advanced control model, a system and human interactive approach and the thinking process in RPD is proposed to improve the quality of decisions for the operational staffs in smelters, hence the efficiency and productivity of the process.


2019 ◽  
Vol 25 (3) ◽  
pp. 81-90
Author(s):  
Ariane Bitoun ◽  
Hans ten Bergen ◽  
Yann Prudent

Abstract While serious games are being widely adopted by NATO and partner nations, their use is currently limited to training and operations planning. In this paper, we explore new methods that use simulations for decision support during the execution of military operations. During this phase, the commander makes decisions based on knowledge of the situation and the primary objectives. We propose here to take a simulation containing smart and autonomous units, and use it to create new kinds of decision support tools capable of improving situation awareness, and consequently the quality of decisions. The breakthrough behind this initiative is the realization that we can provide HQ decision makers with access to a version of the information that smart simulated units use to make decisions. To ensure the approach was sound we first studied decision-making processes, and analyzed how situation awareness improves decision-making. After analysis of the decision-making processes at various headquarters, and the types of decision criteria employed, we are able to produce innovative information, computed by the simulation, and fed by the command and control system. We then propose a prerequisite architecture and describe the first results of our proof of concept work based on the SWORD (Simulation War gaming for Operational Research and Doctrine) simulation.


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