INTEGRASI, SCADA, DIGSILENT POWERFACTORY, OPC, STATE ESTIMATION.

This thesis research discusses the integration between Supervisory Control and Data Acquisition (SCADA) with DIgSILENT PowerFactory. This integration brings many benefits due to near real-time data transfer and can use the features of DIgSILENT PowerFactory for further analysis. The software u...

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Main Author: Mushthofa Musyasy, Muhammad
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/58044
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:58044
spelling id-itb.:580442021-08-30T12:21:04ZINTEGRASI, SCADA, DIGSILENT POWERFACTORY, OPC, STATE ESTIMATION. Mushthofa Musyasy, Muhammad Indonesia Theses Integration, SCADA, DIgSILENT PowerFactory, OPC, State Estimation INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/58044 This thesis research discusses the integration between Supervisory Control and Data Acquisition (SCADA) with DIgSILENT PowerFactory. This integration brings many benefits due to near real-time data transfer and can use the features of DIgSILENT PowerFactory for further analysis. The software used in this thesis research is DIgSILENT PowerFactory, MatrikonOPC Server for Simulation, MatrikonOPC Explorer, Microsoft Excel, Microsoft SQL Server, and Git. Meanwhile, the programming languages used are DIgSILENT Programming Language (DPL), Python, and SQL. The communication protocol used is OPC with the server using MatrikonOPC Server for Simulation and the clients are DIgSILENT PowerFactory and MatrikonOPC Explorer. The DIgSILENT PowerFactory features that will be used in this research are state estimation (SE), contingency analysis, and power flow analysis. SE input data come from the results of load flow analysis, with three datasets, peak load, base load, and peak load during working hours, with seven variations. The results obtained are the greater the variation of the error given, the greater the difference between the SE results and the results of the analysis of power flow and its deviation. In addition, the IISEA obtained always increases when the variation of the given error is also greater, except for the variation of the seventh data, which is between the variation of the second data and the variation of the third data or between the variation of the fifth data and the variation of the sixth data. The algorithm features contingency analysis, power flow analysis, retrieve historical data, and periodic also runs very well. The SE process takes 31 seconds, contingency analysis takes 12 seconds, load flow analysis takes 1 second, and historical data analysis takes 53 seconds. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This thesis research discusses the integration between Supervisory Control and Data Acquisition (SCADA) with DIgSILENT PowerFactory. This integration brings many benefits due to near real-time data transfer and can use the features of DIgSILENT PowerFactory for further analysis. The software used in this thesis research is DIgSILENT PowerFactory, MatrikonOPC Server for Simulation, MatrikonOPC Explorer, Microsoft Excel, Microsoft SQL Server, and Git. Meanwhile, the programming languages used are DIgSILENT Programming Language (DPL), Python, and SQL. The communication protocol used is OPC with the server using MatrikonOPC Server for Simulation and the clients are DIgSILENT PowerFactory and MatrikonOPC Explorer. The DIgSILENT PowerFactory features that will be used in this research are state estimation (SE), contingency analysis, and power flow analysis. SE input data come from the results of load flow analysis, with three datasets, peak load, base load, and peak load during working hours, with seven variations. The results obtained are the greater the variation of the error given, the greater the difference between the SE results and the results of the analysis of power flow and its deviation. In addition, the IISEA obtained always increases when the variation of the given error is also greater, except for the variation of the seventh data, which is between the variation of the second data and the variation of the third data or between the variation of the fifth data and the variation of the sixth data. The algorithm features contingency analysis, power flow analysis, retrieve historical data, and periodic also runs very well. The SE process takes 31 seconds, contingency analysis takes 12 seconds, load flow analysis takes 1 second, and historical data analysis takes 53 seconds.
format Theses
author Mushthofa Musyasy, Muhammad
spellingShingle Mushthofa Musyasy, Muhammad
INTEGRASI, SCADA, DIGSILENT POWERFACTORY, OPC, STATE ESTIMATION.
author_facet Mushthofa Musyasy, Muhammad
author_sort Mushthofa Musyasy, Muhammad
title INTEGRASI, SCADA, DIGSILENT POWERFACTORY, OPC, STATE ESTIMATION.
title_short INTEGRASI, SCADA, DIGSILENT POWERFACTORY, OPC, STATE ESTIMATION.
title_full INTEGRASI, SCADA, DIGSILENT POWERFACTORY, OPC, STATE ESTIMATION.
title_fullStr INTEGRASI, SCADA, DIGSILENT POWERFACTORY, OPC, STATE ESTIMATION.
title_full_unstemmed INTEGRASI, SCADA, DIGSILENT POWERFACTORY, OPC, STATE ESTIMATION.
title_sort integrasi, scada, digsilent powerfactory, opc, state estimation.
url https://digilib.itb.ac.id/gdl/view/58044
_version_ 1822002829812826112