Professional Education

Abstract

Smart electric power distribution envisages real time monitoring, protection, analysis, control and management of the network through introduction of heterogeneous smart nodes forming a sensor web and enabling a synchronized communication network embedded in the electrical network for message passing. The need of interoperable technologies and applications with the co-existence of different devices and services for power system automation is the greatest challenge in achieving this objective. This work addresses these issues in the communication network for distribution grid automation by proposing a communication architecture capable of enabling interoperability of technologies and standards for smart distribution grid. After analysing the existing communication architectures, a cross layered approach is adopted to design the interoperable communication architecture. 

The communication requirements of power distribution network automation are understood through elaborate literature survey of (a) smart distribution grid applications like Distribution Automation, Demand Side Management, etc., (b) smart distribution grid operations like islanding and grid integration, integration of distributed generation and storage, etc., and, (c) consumer integration applications like Advanced Metering Infrastructure, Demand Response, etc. With the inputs from the literature review, and carefully understanding the existing communication architectures and scope of a new architecture supporting interoperability, the design of an interoperable communication architecture with a cross layered structure has been carried out. The quantitative performance of communication architecture is analysed, through co-simulation (combined simulation of power system and communication system) using MATLAB/Simulink and NetSim in terms of metrics like latency, throughput, packet delivery ratio, network setup time, routing overhead, number of nodes, etc. Extensive simulation of communication networks in smart distribution grid has been carried out for various smart applications like Wide Area Measurement Protection and Control, Advanced Metering Infrastructure, Demand Response, etc. following international standards like IEEE C37.118.2, IEEE 1815-2012 and IEC 62056 for message exchange and using multiple communication technologies viz. IEEE 802.3, IEEE 802.11 and IEEE 802.15.4. Qualitative performance analysis of the proposed communication architecture is done by ranking the proposed communication architecture together with the existing communication architectures based on performance indices like security, vi interoperability, heterogeneity, scalability, redundancy etc. The validation of the proposed communication architecture in hardware on a 5-bus laboratory scale micro grid simulator reflected the performance in a smart distribution grid system. 

This proposed communication architecture will enable smooth integration of heterogeneous communication network to power distribution network realizing the development of smart power distribution grid and ensuring the interoperability. Future research can make this communication architecture secure by integrating cyber security measures and resilient by dynamic node level reconfigurability features. 

Publications

International Journals

1. Sivraj P., and Sasi K. Kottayil, “Communication Network for Smart Microgrid”, International Journal of Automation and Smart Technology, vol. 11, issue 1, July 2021, pp. 2237-2247. doi: http://dx.doi.org/10.5875/ausmt.v11i1.2237.

2. Sivraj P. and Sasi K. K., “Selection of communication technology for smart distribution grid”, International Journal of Applied Engineering Research, Vol. 10, Issue: 55, pp. 1303-1308, May 2015, doi: https://www.ripublication.com/ijaerspl3/ijaerv10n55spl_256.pdf.

International Conferences

3. Sivraj P., Nithin S. and Sasi K. K., “ Smart Microgrid Simulator”, International Conference on Smart Grid and Smart Cities – India Smart Grid Week, New Delhi, India. March 2016, doi: https://www.researchgate.net/publication/299488000_Smart_Microgrid_Simulator.

4. S. Nithin, Sivraj P., Sasi K Kottayil, and Robert Lagerstrom, "Development of a Real Time Data Collection Unit for distribution network in a smart grid environment," Power and Energy Systems Conference: Towards Sustainable Energy, 2014, pp: 1-5, March 2014, doi: https://doi.org/10.1109/PESTSE.2014.6805323.

Book Published

5. Sivraj P., “Communication Infrastructure for Smart Microgrids”, in Smart Microgrids, Sasi K. K., Ed., New Delhi, India, CRC Press, 2020, pp.119-214, doi: https://doi.org/10.1201/9780429325274.

Course Work

PE732  Electric Power Quality  

WN623 Wireless Sensor Networks

CN613 Computational Optimization Theory Linear & Non-linear Methods 

PE742 Energy Conservation and Management 

CY800 Research Methodology 

Foundation course for Ph.D. Scholars in Engineering and Physical Sciences 

Thesis

1. Title Page

2. Certificate

3. Preliminary pages

4. Chapter 1

5. Chapter 2

6. Chapter 3

7. Chapter 4

8. Chapter 5

9. Chapter 6

10. Chapter 7

11. Bibliography