Optimal Wireless Technology Selection Approach for Sustainable Indian Smart Grid

  • Jignesh Bhatt Dharmsinh Desai University, Nadiad, India and Pandit Deendayal Energy University, Gandhinagar, India https://orcid.org/0000-0003-4063-3438
  • Omkar Jani Kanoda Energy Systems Pvt. Ltd., Ahmedabad, India
  • V.S.K.V. Harish Netaji Subhas University of Technology, Delhi, India https://orcid.org/0000-0002-3033-690X
Keywords: Automation, communication, data acquisition and analysis, data-driven decision-making, evaluation, instrumentation and control, instrumentation telemetry system, optimal selection, optimization, smart grid, sustainable energy

Abstract

The smart grid is playing a game-changing role in achieving clean and green energy, infrastructure, and cities, which are all part of the sustainable development goals. The significance of communication infrastructure in the reliable design and operation of the smart grid is well recognized, notably for renewable integration, facilitating distributed energy resources and storage, demand response, and energy efficiency. Since choosing the optimal communication technology is a strategic decision, the problem needs careful investigation, taking into account realistic data traffic estimates to fulfill the communication needs of the applications envisaged. Even though a vast array of technologies with diverse capabilities is available to meet such communication needs, choosing the optimal wireless technology for a smart grid project remains a difficult challenge. In this context, to achieve and maximize the benefits of the smart grid and its applications, a systematic and efficient approach is necessary. This study proposes a data-driven decision-making approach for evaluating the capabilities of viable wireless technology options and selecting the most suitable option for the smart grid project at the design phase. The suggested approach and the decision-support tool were developed using a cost-function-based optimization technique. A case study of Siliguri city Indian smart grid pilot is discussed to validate the potential and aptness of the presented approach and suggest better technology alternatives as replacements. Being field data-driven, the presented optimization approach is simple, customizable, strategic, and re-usable with practical efficacy to assist decision-making.

Downloads

Download data is not yet available.

Author Biographies

Jignesh Bhatt, Dharmsinh Desai University, Nadiad, India and Pandit Deendayal Energy University, Gandhinagar, India

Jignesh Bhatt was born in Ahmedabad, India in 1975. He received B.E. (Instrumentation and Control Engineering), Gujarat University, India, 1997 and M.Tech. (Electrical Engineering, Specialization: Measurement & Instrumentation) from IIT Roorkee, India, 2010 and currently registered as Research Scholar in Department of Electrical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India. He served industry during 1997–99. Since 2000, he has been serving Department of Instrumentation and Control Engineering, Faculty of Technology, Dharmsinh Desai University, India, with current designation of Associate Professor. His research interests include automation, instrumentation, smart city, smart grid, solar energy and wireless sensor networks.

Omkar Jani, Kanoda Energy Systems Pvt. Ltd., Ahmedabad, India

Omkar Jani was born in Mumbai, India in 1978. He received his Bachelor’s degree in Electrical Engineering with Honours from the University of South Carolina, USA, and Ph.D. in Electrical Engineering from Georgia Institute of Technology, USA with specialization in Solar Photovoltaic Science and Engineering, and completed his post-doctoral fellowship from the Institute of Energy Conversion, University of Delaware, USA. He has served as Principal Research Scientist (Solar Energy) at Gujarat Energy Research and Management Institute (GERMI), Gandhinagar, India. He is a member of the State Advisory Committee of the Gujarat Electricity Regulatory Commission and also an advisor to several clean-tech companies and NGOs. He is currently serving as the Director, Research & Culture at Kanoda Energy Systems Pvt. Ltd. – a renewable and smart energy solution provider company. His research interests include renewable energy, smart grid, solar city and solar energy.

V.S.K.V. Harish, Netaji Subhas University of Technology, Delhi, India

V.S.K.V. Harish was born in Kakinada, India in 1987. He received B.E. (Electrical and Electronics Engineering), Maharshi Dayanand University, Rohtak, India, 2009, and M.E. (Power Engineering), Jadavpur University, Kolkata, India, 2012 and Ph.D. (Electrical Engineering), IIT Roorkee, India, 2017 with specialization in Building Energy Systems and completed his post-doctoral fellowship from TERI School of Advanced Studies, New Delhi, India, 2018. He served as Guest Faculty at TERI University, New Delhi, India during 2017–18 and as an Assistant Professor and registered research supervisor with Department of Electrical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India during 2018–21. Currently he is serving as an Assistant Professor with Department of Electrical Engineering, Netaji Subhas University of Technology, Delhi, India. He is member of IEEE, ASHRAE, CSRS, India. His research interests include Building Energy Systems, Rural Electrification, Microgrids, Optimal planning and energy management and Smart Grid.

References

M. P. Bhandari and K. Bhattrai, “Institutional Architecture For Sustainable Development (SD): A Case Study from Bangladesh, India, Nepal, and Pakistan,” Socioecon. Challenges, vol. 1, no. 3, pp. 6–21, 2017.

R. T. Devereaux, “Unplugging the Grid: Energy Surety via Wireless Power,” Strateg. Plan. Energy Environ., vol. 38, no. 2, pp. 7–16, 2018.

S. H. Kulkarni and T. R. Anil, “Renewable Energy in India—Barriers to Wind Energy,” Strateg. Plan. Energy Environ., vol. 38, no. 2, pp. 40–69, 2018.

A. Misra, G. Venkataramani, S. Gowrishankar, E. Ayyasam, and V. Ramalingam, “Renewable Energy Based Smart Microgrids—A Pathway To Green Port Development,” Strateg. Plan. Energy Environ., vol. 37, no. 2, pp. 17–32, 2017.

N. Vukovic, U. Koriugina, D. Illarionova, D. Pankratova, P. Kiseleva, and A. Gontareva, “Towards Smart Green Cities-Analysis of Integrated Renewable Energy Use in Smart Cities,” Strateg. Plan. Energy Environ., vol. 40, no. 1, pp. 75–94, 2021.

J. Bhatt and O. Jani, “Smart Grid: Energy Backbone of Smart City and e-Democracy,” in E-Democracy for Smart Cities, Springer Singapore, 2016, pp. 319–366.

National Smart Grid Mission (NSGM), “SG Projects |National Smart Grid Mission, Ministry of Power, Government of India, Siliguri, West Bengal,” 2021. [Online]. Available: https://www.nsgm.gov.in/sg-projects/WBSEDCL, West Bengal. [Accessed: 16-Jul-2021].

J. Bhatt, V. Shah, and O. Jani, “An Instrumentation Engineer’s Review on Smart Grid: Critical Applications and Parameters,” Renew. Sustain. Energy Rev., vol. 40, pp. 1217–1239, 2014.

P. Matoušek, O. Ryšavý, M. Grégr, and V. Havlena, “Flow based monitoring of ICS communication in the smart grid,” J. Inf. Secur. Appl., vol. 54, 2020.

A. E. Labrador Rivas and T. Abrão, “Faults in smart grid systems: Monitoring, detection and classification,” Electr. Power Syst. Res., vol. 189, no. May, p. 106602, 2020.

L. Das, S. Munikoti, B. Natarajan, and B. Srinivasan, “Measuring smart grid resilience: Methods, challenges and opportunities,” Renew. Sustain. Energy Rev., vol. 130, no. May, p. 109918, 2020.

G. Dileep, “A survey on smart grid technologies and applications,” Renew. Energy, vol. 146, pp. 2589–2625, 2020.

D. K. Panda and S. Das, “Smart Grid Architecture Model for Control, Optimization and Data Analytics of Future Power Networks with More Renewable Energy,” J. Clean. Prod., p. 126877, 2021.

S. Nižetić, P. Šolić, D. López-de-Ipiña González-de-Artaza, and L. Patrono, “Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future,” J. Clean. Prod., vol. 274, 2020.

F. E. Abrahamsen, Y. Ai, and M. Cheffena, “Communication Technologies for Smart Grid: A Comprehensive Survey,” arXiv Prepr. arXiv2103.11657, no. March, pp. 1–26, 2021.

USA Department of Energy, “Communications Requirements of smart grid technologies,” 2010.

M. Kuzlu, M. Pipattanasompom, and S. Rahman, “A comprehensive review of smart grid related standards and protocols,” in ICSG 2017 – 5th International Istanbul Smart Grids and Cities Congress and Fair, 2017, pp. 12–16.

R. H. Khan and J. Y. Khan, “A comprehensive review of the application characteristics and traffic requirements of a smart grid communications network,” Comput. Networks, vol. 57, no. 3, pp. 825–845, 2013.

V. C. Gungor et al., “A Survey on Smart Grid Potential Applications and Communication Requirements,” IEEE Trans. Ind. Informatics, vol. 9, no. 1, pp. 28–42, 2013.

M. Kuzlu, M. Pipattanasomporn, and S. Rahman, “Communication network requirements for major smart grid applications in HAN, NAN and WAN,” Comput. Networks, vol. 67, no. July, pp. 74–88, 2014.

K. Ahuja, B. Singh, and R. Khanna, “Network Selection in Wireless Heterogeneous Environment Based on Available Bandwidth Estimation,” Recent Adv. Comput. Sci. Commun., vol. 14, no. 4, pp. 1030–1039, 2021.

S. R. Salkuti, “Challenges, issues and opportunities for the development of smart grid,” Int. J. Electr. Comput. Eng., vol. 10, no. 2, pp. 1179–1186, 2020.

O. Majeed Butt, M. Zulqarnain, and T. Majeed Butt, “Recent advancement in smart grid technology: Future prospects in the electrical power network,” Ain Shams Eng. J., vol. 12, no. 1, pp. 687–695, 2021.

V. Kouhdaragh, “Optimization of Smart Grid Communication Network in a Het-Net Environment Using a Cost Function,” J. Telecommun., vol. 35, no. 1, pp. 1–8, 2016.

J. Bhatt, O. Jani, and V. S. K. V Harish, “Development of an assessment tool to review Communication Technologies for Smart Grid in India,” in 1st International Conference on Innovations in Clean Energy Technologies (ICET-2020), 2020, pp. 1–11.

S. Banerjee, S. Mondal, P. Chatterjee, and A. K. Pramanick, “An intercriteria correlation model for sustainable automotive body material selection,” J. Ind. Eng. Decis. Mak., vol. 2, no. 1, pp. 8–14, 2021.

M. Kuzlu and M. Pipattanasomporn, “Assessment of communication technologies and network requirements for different smart grid applications,” in 2013 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2013, 2013, pp. 1–6.

Published
2021-12-18
Section
Data driven strategic decision making models for renewable & sustainable energy