7 Wireless monitoring of substation using IoT
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Varsha Singh
Abstract
Internet of things (IoT) is becoming a revolutionary technology in transforming the modern standard of living. IoT allows integration of data acquisition, communication and processing in real time through remote servers. This chapter discusses a wireless system for monitoring and controlling of an electrical substation using NodeMCU (Wi-Fi module), Arduino Uno (microcontroller), Thing Speak Server, and Blynk. The different parameters of the substation such as current, voltage, power factor, frequency, and temperature are monitored using various sensors and electronic components. The concept is validated using an experimental setup. NodeMCU is the control center of the system that sends the data to Thing Speak server and the remote user could take action accordingly. Depending upon the data received, the end user could control circuit breakers and relays allowing optimum control over the system in real time. The accurate data gathered is useful in analysis, optimum planning and detecting faults. The real-time feature of IoT allows taking control action quickly, thereby reducing time delay and risks. The innovation of the work can bring efficient monitoring and controlling of an electrical substation. Mobile apps are very easy to use, and this work helps controlling and visualization of5 electrical substation in future.
Abstract
Internet of things (IoT) is becoming a revolutionary technology in transforming the modern standard of living. IoT allows integration of data acquisition, communication and processing in real time through remote servers. This chapter discusses a wireless system for monitoring and controlling of an electrical substation using NodeMCU (Wi-Fi module), Arduino Uno (microcontroller), Thing Speak Server, and Blynk. The different parameters of the substation such as current, voltage, power factor, frequency, and temperature are monitored using various sensors and electronic components. The concept is validated using an experimental setup. NodeMCU is the control center of the system that sends the data to Thing Speak server and the remote user could take action accordingly. Depending upon the data received, the end user could control circuit breakers and relays allowing optimum control over the system in real time. The accurate data gathered is useful in analysis, optimum planning and detecting faults. The real-time feature of IoT allows taking control action quickly, thereby reducing time delay and risks. The innovation of the work can bring efficient monitoring and controlling of an electrical substation. Mobile apps are very easy to use, and this work helps controlling and visualization of5 electrical substation in future.
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Contents VII
- 1 Artificial intelligence and Internet of things for renewable energy systems 1
- 2 Power control of modified type III DFIG-based wind turbine system using four-mode type I fuzzy logic controller 41
- 3 An IoT-based approach for efficient home automation 91
- 4 Design and implementation of IoT-enabled smart single-phase energy meter monitoring system 123
- 5 Internet of things (IoT)-based smart grids 165
- 6 Maximum power point tracking control under partial shading conditions using particle swarm optimization algorithm 185
- 7 Wireless monitoring of substation using IoT 215
- 8 Smart grid–based big data analytics using machine learning and artificial intelligence: a survey 241
- 9 IoT-based intelligent solar energyharvesting technique with improved efficiency 279
- Editor’s Brief Biographies 303
- Index 307
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Contents VII
- 1 Artificial intelligence and Internet of things for renewable energy systems 1
- 2 Power control of modified type III DFIG-based wind turbine system using four-mode type I fuzzy logic controller 41
- 3 An IoT-based approach for efficient home automation 91
- 4 Design and implementation of IoT-enabled smart single-phase energy meter monitoring system 123
- 5 Internet of things (IoT)-based smart grids 165
- 6 Maximum power point tracking control under partial shading conditions using particle swarm optimization algorithm 185
- 7 Wireless monitoring of substation using IoT 215
- 8 Smart grid–based big data analytics using machine learning and artificial intelligence: a survey 241
- 9 IoT-based intelligent solar energyharvesting technique with improved efficiency 279
- Editor’s Brief Biographies 303
- Index 307
