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Applications of cloud computing for power systems
Contents
• Introduction
• Types of cloud computing
• Cloud service models
• Cloud based power systems programming architecture
• Energy monitoring system
• Cloud based SCADA configuration
• A smart grid with and without cloud
• Advantages and Disadvantages
• Applications and service providers
• Conclusion
Introduction
Cloud
computing
Types of cloud computing
Cloud service models
Applications of cloud computing for power systems
Cloud based power systems programming
architecture
Applications of cloud computing for power systems
Energy monitoring system
Digital
Power
Meter
GSM
Communication
Gateway
Private
Cloud
1. This system developed to optimize energy usage, to achieve continuous
storage and procession of even more than ten millions smart meter’s data, as
well as serving millions of users.
2. The high safety-storage of such amount of data and the large availability of
service for number of users can optimally be ensured by the computing
power and data storage capability of cloud technologies.
Cloud based SCADA configuration
Data flow
1. web-based monitoring and controlling application layer is an
application layer to visualize, monitor and control the readings of
different sensors installed across the network and send control signal to
the actuators when it is necessary.
2. The middle layer is a cloud computing platform which provides server,
database system, different operating systems and computing tools.
3. The lower layer is the smart grid where the actual grid data is collected.
A smart grid without cloud application
A smart grid with cloud
Advantages
• Back-up and restore data
• Improved collaboration
• Excellent accessibility
• Low maintenance cost
• Mobility
• Services in pay-per-use
• Unlimited storage capacity
• Data security
• Device independence
Disadvantages
• Internet connectivity
• Vendor lock-in
• Limited control
• Security
• Vendor dependence for data maintenance
Applications
• Art
• Business
• Data Storage and Backup
• Education
• Entertainment
• Management
• Social
Cloud computing service providers
Conclusion
• Thus cloud computing provide a super-computing power
• This cloud of computers extends beyond a single company or enterprise.
• This applications and data served by the cloud are available to broad
group of users, cross-enterprise and cross platform.
Continued…
References
1. Peter Mell and Timothy Grace “The NIST Definition of Cloud Computing” NIST Special
publication.
2. V S K Murthy Balijepalli and S A Khaparde “Smart Grid Standards Conformed Cloud Based
Demand Side Management Tools” International Journal of Engineering Research &
Technology (IJERT), Indian Institute of Technology Bombay.
3. R.Al-Khannak,“Conceptual Development of Redundant Power System Philosophy by Grid
Computing” the research in collaboration between Bolton University and South Westphalia
University of Applied Sciences.
4. Xi Fang, Satyajayant Misra, Guoliang Xue and Dejun Yang “Managing Smart Grid
Information in the Cloud: Opportunities, Model, and Applications”, Arizona State University.
5. Thanyachanok Kleesuwan, “Cloud Computing for monitoring and controlling of distributed
energy generations”, Master thesis, South Westphalia University of Applied Sciences, 2014.
Applications of cloud computing for power systems
Applications of cloud computing for power systems

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Applications of cloud computing for power systems

  • 1. Applications of cloud computing for power systems
  • 2. Contents • Introduction • Types of cloud computing • Cloud service models • Cloud based power systems programming architecture • Energy monitoring system • Cloud based SCADA configuration • A smart grid with and without cloud • Advantages and Disadvantages • Applications and service providers • Conclusion
  • 4. Types of cloud computing
  • 7. Cloud based power systems programming architecture
  • 10. 1. This system developed to optimize energy usage, to achieve continuous storage and procession of even more than ten millions smart meter’s data, as well as serving millions of users. 2. The high safety-storage of such amount of data and the large availability of service for number of users can optimally be ensured by the computing power and data storage capability of cloud technologies.
  • 11. Cloud based SCADA configuration Data flow
  • 12. 1. web-based monitoring and controlling application layer is an application layer to visualize, monitor and control the readings of different sensors installed across the network and send control signal to the actuators when it is necessary. 2. The middle layer is a cloud computing platform which provides server, database system, different operating systems and computing tools. 3. The lower layer is the smart grid where the actual grid data is collected.
  • 13. A smart grid without cloud application
  • 14. A smart grid with cloud
  • 15. Advantages • Back-up and restore data • Improved collaboration • Excellent accessibility • Low maintenance cost • Mobility • Services in pay-per-use • Unlimited storage capacity • Data security • Device independence
  • 16. Disadvantages • Internet connectivity • Vendor lock-in • Limited control • Security • Vendor dependence for data maintenance
  • 17. Applications • Art • Business • Data Storage and Backup • Education • Entertainment • Management • Social
  • 19. Conclusion • Thus cloud computing provide a super-computing power • This cloud of computers extends beyond a single company or enterprise. • This applications and data served by the cloud are available to broad group of users, cross-enterprise and cross platform.
  • 21. References 1. Peter Mell and Timothy Grace “The NIST Definition of Cloud Computing” NIST Special publication. 2. V S K Murthy Balijepalli and S A Khaparde “Smart Grid Standards Conformed Cloud Based Demand Side Management Tools” International Journal of Engineering Research & Technology (IJERT), Indian Institute of Technology Bombay. 3. R.Al-Khannak,“Conceptual Development of Redundant Power System Philosophy by Grid Computing” the research in collaboration between Bolton University and South Westphalia University of Applied Sciences. 4. Xi Fang, Satyajayant Misra, Guoliang Xue and Dejun Yang “Managing Smart Grid Information in the Cloud: Opportunities, Model, and Applications”, Arizona State University. 5. Thanyachanok Kleesuwan, “Cloud Computing for monitoring and controlling of distributed energy generations”, Master thesis, South Westphalia University of Applied Sciences, 2014.