Development of an Assessment Tool to Review Communication Technologies for Smart Grid in India

Bhatt, Jignesh; Jani, Omkar; Harish, V. S. K. V.

doi:10.1007/978-981-16-0235-1_43

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Our proposed optimization approach includes eleven wireless communication technologies and nineteen smart grid applications. As an outcome, our decision-support tool [25] generates the top three best-fit alternatives of wireless communication technologies. Furthermore, our approach is tested by implementing it on the real-life case studies of Indian smart grid pilots.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Subsequently, the capabilities of all feasible wireless technology alternatives are examined, to verify and confirm whether and to what extent each technology option can satisfy the communication requirements estimated earlier. Finally, the best-fit wireless technology options are generated and suggested employing the proposed optimization approach [25] along with Equations ( 1) and (2).…”

Section: Optimization Approachmentioning

confidence: 99%

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Optimal Wireless Technology Selection Approach for Sustainable Indian Smart Grid

Bhatt

Jani²,

Harish³

2023

SPEE

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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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Section: Literature Reviewmentioning

confidence: 99%

Section: Optimization Approachmentioning

confidence: 99%