Embedding Electrical Load Analysis (ELA) with Electrical System Design for On-Demand Analysis and Quick ELA Report Generation

2019 ◽  
Author(s):  
Yibing Dong
Keyword(s):  
System Design ◽  
Demand Analysis ◽  
Electrical Load ◽  
Electrical System ◽  
Report Generation ◽  
On Demand ◽  
Load Analysis

Discussion on “Electrical system design for future AGR power stations”

1981 ◽  
Vol 128 (2) ◽  
pp. 128
Author(s):  
V. Koller ◽  
J.P. Ranson ◽  
H. Heimer ◽  
G.H. Daniels
Keyword(s):  
System Design ◽  
Electrical System ◽  
Power Stations

scholarly journals Remote Monitoring and Control for an Isolate Prototype Substation Model

2021 ◽  
Vol 309 ◽  
pp. 01121
Author(s):  
G Sandhya Rani ◽  
U Vijaya Laxmi ◽  
P Srividya Devi ◽  
M Naga Sandhya Rani
Keyword(s):  
Problem Solving ◽  
System Design ◽  
Real Time ◽  
Remote Monitoring ◽  
Monitoring And Control ◽  
Electrical System ◽  
Electrical Parameters ◽  
Remote Monitoring And Control ◽  
And Control

The objective of this paper is to monitor the electrical parameters like voltage, current, etc., remotely and display all the obtained real time values for a substation isolate. This paper is furnished to assure the load and electrical system equipment by the activation of relay, whenever the acquired parameters exceed the predefined values. Generally, this Proposed system design makes use of microcontroller, but the prototype of this circuit modelled in Proteus and can be executed by using ATmega 168 microcontroller. When supply is given to the designed hardware, all the sensors start sensing their respective parameters i. e., voltage, current, temperature etc., and modernize all the values on the display. Comparison between the problem-solving time values and the preordained values is continuously carried out by the microcontroller, if any of these values go beyond the pre-defined values, it sends fault alert to the relay, updates it on the screen and sends the same as an SMS through GSM for the rectification.

scholarly journals Optimal and Perfectly Parallel Algorithms for On-demand Data-Flow Analysis

2020 ◽  
pp. 112-140 ◽  
Author(s):  
Krishnendu Chatterjee ◽  
Amir Kafshdar Goharshady ◽  
Rasmus Ibsen-Jensen ◽  
Andreas Pavlogiannis
Keyword(s):  
Data Flow ◽  
Flow Analysis ◽  
Demand Analysis ◽  
Finite Domain ◽  
Data Flow Analysis ◽  
On Demand ◽  
Time Optimal ◽  
Speed Up ◽  
Flow Functions ◽  
Flow Graphs

AbstractInterprocedural data-flow analyses form an expressive and useful paradigm of numerous static analysis applications, such as live variables analysis, alias analysis and null pointers analysis. The most widely-used framework for interprocedural data-flow analysis is IFDS, which encompasses distributive data-flow functions over a finite domain. On-demand data-flow analyses restrict the focus of the analysis on specific program locations and data facts. This setting provides a natural split between (i) an offline (or preprocessing) phase, where the program is partially analyzed and analysis summaries are created, and (ii) an online (or query) phase, where analysis queries arrive on demand and the summaries are used to speed up answering queries.In this work, we consider on-demand IFDS analyses where the queries concern program locations of the same procedure (aka same-context queries). We exploit the fact that flow graphs of programs have low treewidth to develop faster algorithms that are space and time optimal for many common data-flow analyses, in both the preprocessing and the query phase. We also use treewidth to develop query solutions that are embarrassingly parallelizable, i.e. the total work for answering each query is split to a number of threads such that each thread performs only a constant amount of work. Finally, we implement a static analyzer based on our algorithms, and perform a series of on-demand analysis experiments on standard benchmarks. Our experimental results show a drastic speed-up of the queries after only a lightweight preprocessing phase, which significantly outperforms existing techniques.

US Navy Power Transformer Sizing Requirements Using Probabilistic Analysis

2006 ◽  
Vol 22 (04) ◽  
pp. 212-218
Author(s):  
Michael C. Robinson ◽  
Sara E. Wallace ◽  
David C. Woodward ◽  
Gene Engstrom
Keyword(s):  
Systems Engineering ◽  
Power Transformer ◽  
Risk Mitigation ◽  
Monte Carlo Analysis ◽  
Electrical Load ◽  
Electrical System ◽  
Demand Factor ◽  
Us Navy ◽  
Calculated Load ◽  
Electrical Loads

Sizing power transformers in US Navy ships is an issue that surfaced in the design of a new amphibious assault ship. Previous methods averaged the power output from generators over each transformer and calculated load based on a demand factor curve. This technique is not accurate enough in the contract design stages or for zonal architectures since it artificially averages the electrical loads. The proposed methodology uses a systems engineering approach, applying a probabilistic (Monte Carlo) analysis of the electrical loads at each transformer, based on the electrical load analysis (ELA). This methodology will allow the designer to incorporate risk mitigation into a radial or zonal electrical system design to verify adequacy and reduce cost through probability-based transformer sizing.

Safety verification test study based on demand analysis

2020 ◽  
Author(s):  
Wei Yan ◽  
Leili Hu ◽  
Shuizhong Chen ◽  
Shiyong Guo ◽  
Baolin Du ◽  
...  
Keyword(s):  
Demand Analysis ◽  
Safety Verification ◽  
On Demand ◽  
Test Study ◽  
Verification Test
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