Optimal Wireless Technology Selection Approach for Sustainable Indian Smart Grid

Authors

  • Jignesh Bhatt Dharmsinh Desai University, Nadiad, India and Pandit Deendayal Energy University, Gandhinagar, India
  • Omkar Jani Kanoda Energy Systems Pvt. Ltd., Ahmedabad, India
  • V.S.K.V. Harish Netaji Subhas University of Technology, Delhi, India

DOI:

https://doi.org/10.13052/spee1048-4236.4033

Keywords:

Automation, communication, data acquisition and analysis, data-driven decision-making, evaluation, instrumentation and control, instru- mentation 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.

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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.

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Published

2023-02-15

How to Cite

Bhatt , J. ., Jani , O. ., & Harish, V. . (2023). Optimal Wireless Technology Selection Approach for Sustainable Indian Smart Grid . Strategic Planning for Energy and the Environment, 40(3), 255–278. https://doi.org/10.13052/spee1048-4236.4033

Issue

2021: Vol 40 Iss 3 2021

Section

Articles