Internet of things - Iot power point presentation.pptx

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1. Implementation Of Grid-Connected Solar, Wind, and Battery Systems: Providing Efficient and Secure Data Collection for Cloud-Supported Internet of Things PROJECT PHASE- 2 PROJECT GUIDE Mr.VENGATESAN M.E., DEPATMENT (EEE)., M.E- POWER ELECTRONICS AND DRIVES PRESENTED BY L.MARY CHRISTY REG NO. 813521415006 ROEVER ENGINEERING COLLEGE M.E- POWER ELECTRONICS AND DRIVES DEPARTMENT OF ELCTRICAL AND ELECTRONICS ENGINEERING M.E-POWER ELECTRINICS AND DRIVES

2. Table of contents Abstract Introduction Literature review Existing system Proposed system Methodology Block diagram IoT conceptual architecture in smart grid Pv data monitoring Battery charging circuit. Voltage and current measuring. Wi-fi connected cloud Data storing in cloud Advantage and disadvantage Application Conclusion Reference

3. Abstract Lack of resources established in the present world is initiating everyone towards energy efficient technologies. Among all these resources, power is one which needs to be monitored and controlled as per the need since electricity consumption is increasing day-by day. In this project, we have described an effective implementation of an intelligent remote monitoring system for solar Photovoltaic (PV), Wind Energy Conversion System (WECS) and battery which are used in a greenhouse environment.

4. Introduction Global renewable energy consumption is expected to grow by 147% in the next 30 years. In 2023, new global investments in clean energy were nearly ten times the amount invested in 2004 . Further more, the share of renewable power in global energy generation has increased from 13.4% in 2019, 53.8% in 2023. Among all sources of renewable energy, the role of electricity has increased by a factor of two to three from historic levels, and this means that all electrical system resources should be optimized in order to benefit society.

5. Literature review Next generation M2M Cellular Networks: LTE-MTC and NB-IoT capacity analysis for Smart Grids applications by Samuela Persia; Luca Rea LTE technology, although traditionally defined for H2H (Human-to-Human) Communications, could be a good candidate for M2M (Machine-to-Machine) Communications. For this reason, the global 3GPP standard promotes in the recent Releases low complexity devices to support M2M applications IoT -Grid: IoT Communication for Smart DC Grids by Voravit Tanyingyong ; Robert Olsson; Jeong -woo Cho; Markus Hidell ; Peter Sjodin IoT technology is considered an essential imperative for Smart Grids (SGs). However, IoT devices have inherently limited responsiveness that may not be sufficient for a time critical SG with stringent demands on communication delay Security and Privacy Considerations for IoT Application on Smart Grids: Survey and Research Challenges by Fisnik Dalipi ; Sule Yildirim Yayilgan The emergence and evolution of Internet of Things ( IoT ) offers great advantages to improve substantially the management over electricity consumption and distribution to the benefit of consumers Survey on smart grid technologies- smart metering, IoT and EMS by Shobhit Jain; Vinoth Kumar N.; A. Paventhan ; V. Kumar Chinnaiyan ; V. Arnachalam ; Pradish M. The application of communication and information technology in electrical utility makes consumers to be very comfortable.

6. Existing system This existing system proposes the Industrial automation using IoT . This system consist of monitoring the process like SCADA. This system Absence of controlling process.

7. Proposed system The proposed system design can be installed in solar PV, WECS and battery in order to solve management problems, maintenance and shortens the mean time to repair. We have designed a smart remote monitoring system based on internet of thing for monitoring Solar PV, WECS and Battery. This system had incorporated remote monitoring for solar PV, WECS and battery through internet using host, network GPRS (Global Positioning Radio Service), embedded system gateway and Arduino . The result of our demonstration shows that the system can monitor store and manipulate data from solar PV, WECS and battery. Thus, the remote monitoring functions are realized in real-time

8. Continue……. Sensors used to sense all electrical parameters like, voltage, temperature, current, power, battery SOC. Etc All data stored in Cloud by using microcontroller with wi-fi technology. We can store all present and past data in cloud. Also we can control our sources in any ware in the world.

9. Proposed system (Block Diagram)

10. Block Diagram Explanation The efficiency of SUTs in areas which benefit from strong winds, despite low solar radiation, is investigated through numerical modelling. Solar updraft tower (SUT) is a simple power plant in which ventilation of heated air inside a channel drives a turbine . This system is recognised as suitable for areas with abundant solar radiation.

11. conti …. 5s Series 415W This system is recognised as suitable for areas with abundant solar radiation. A manufacturing capacity of 12GW spread across China, Thailand and Vietnam. Historically Astronergy Solar have been focused on commercial and solar farm projects with the predominant panel series being larger dimension panels with 72 cells . High Power 24 % more power than conventional modules. Output Positive Tolerance - Guaranteed 0~+5W positive tolerance ensures power output reliability. Innovative Perc Cell Technology - Excellent cell efficiency and output.

12. Conte….

13. IoT conceptual architecture in smart grid

14. PV Data Monitoring DISPLAY PV PANEL ARDUINO MINI

15. Battery Charger Circuit

16. Voltage and Current Measurement

17. Wi-Fi Connected Cloud

18. Hardware

19. Data Storing in Cloud

20. Advantage It Reduces Electricity Theft. It Reduces Electricity Losses (Transmission, Distribution Etc.) It Reduces Electricity Cost, Meter Reading Cost, T&m Operations And Maintenance Costs Etc. It Reduces Equipment Failures Due To Automatic Operation Based On Varying Load Conditions.

21. Disadvantage Continuous communication network should be available. During emergency situation, network congestion or performance are big challenges in smart grid system. It is expensive to install smart meter compare to traditional old electricity meter.

22. Conclusion The solar PV, WECS and battery monitoring using Internet of Things with arduino has been experimentally proven to work satisfactorily by monitoring the parameters successfully through the internet. The designed system not only monitors the parameter of solar PV, WECS and battery but it also manipulate the data and produce the report according to the requirement, for example calculate unit plot and generate total units generated per month. It also stores all the parameters in the cloud in a timely manner. This will help the user to analyse the condition of various parameters in the solar PV, Wind Energy Conversion System and battery.

23. References [1] T. Lojka and I. Zolotová , "Improvement of Human-Plant Interactivity via Industrial Cloud-Based Supervisory Control and Data Acquisition System", IFIP Advances in Information and Communication Technology, pp. 83-90, 2014. [2] C. Rad, O. Hancu , I. Takacs and G. Olteanu , "Smart Monitoring of Potato Crop: A Cyber-Physical System Architecture Model in the Field of Precision Agriculture", Agriculture and Agricultural Science Procedia, vol. 6, pp. 73-79, 2015. [3] G. Fortino , A. Guerrieri and W. Russo, "Agent-oriented smart objects development", Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2012. [4] W. Wei, X. Fan, H. Song, X. Fan and J. Yang, "Imperfect Information Dynamic Stackelberg Game Based Resource Allocation Using Hidden Markov for Cloud Computing", IEEE Transactions on Services Computing, pp. 1-1, 2016. [5] I. Butun , M. Erol-Kantarci , B. Kantarci , H. Song, “Cloud-centric Multilevel Authentication as a Service for Secure Public Safety Device Networks”, IEEE Communications Magazine, 54(4), 2016.

24. References [6] H. Song, Q. Du, P. Ren, W. Li, A. Mehmood, “Cloud Computing for Transportation Cyber-Physical Systems”, Cyber-Physical Systems: A Computational Perspective, Chapter 15, Editor: L. M. Patnaik, CRC Press, 351-369, 2015. [7] Y. Sun, H. Song, A. J. Jara , R. Bie , “Internet of Things and Big Data Analytics for Smart and Connected Communities”, IEEE Access, vol.PP, no.99, pp.1-1. doi: 10.1109/ACCESS.2016.2529723 [8] H. Abbas, M. Qaemi Mahmoodzadeh , F. Aslam Khan and M. Pasha, "Identifying an OpenID anti-phishing scheme for cyberspace", Security and Communication Networks, vol. 9, no. 6, pp. 481-491, 2014. [9] H. Abbas, M. Qaemi Mahmoodzadeh , F. Aslam Khan and M. Pasha, "Identifying an OpenID anti-phishing scheme for cyberspace", Security and Communication Networks, vol. 9, no. 6, pp. 481-491, 2014. [10] H. Abbas, C. Magnusson, L. Yngstrom and A. Hemani , "Addressing dynamic issues in information security management", Info Mngmnt & Comp Security, vol. 19, no. 1, pp. 5-24, 2011.

25. Thank you….