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Optimal Energy Distribution in Smart Grid

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Intelligent Data Engineering and Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1177))

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Abstract

Almost nothing in today’s world runs without power. Right from the air conditioner and water heaters to phone charging and electricity. Energy has its own role to play in everything that happens. But with increasing number of homes, the power consumption increases. The number of electricity sources does not follow the same rate of increase. So it becomes very difficult to supply all sections of a place with power simultaneously. Some areas will have to face blackout, whereas other places will have proper supply. And the electricity department needs revenue every month. This paper provides an optimal solution to provide electricity to a city divided into different sections or areas, when only a limited amount of energy units are available or generated. Assuming that each grid has its own power consumption and as per that and the revenue, the approach used in the proposed work is 0/1 knapsack problem to provide energy in a smart grid such that almost all of the power is used and maximum revenue is generated. This can be done through various methods like dynamic programming, greedy approach, brute force, backtracking, etc. We also find out that which approach will give the best solution with least time complexity.

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Authors and Affiliations

  1. Scope School, Vit University, Vellore, Tamil Nadu, India

    T. Aditya Sai Srinivas, Adya Sharma & K. Govinda

  2. Information Technology, Vnrvjiet, Hyderabad, Telangana, India

    Somula Ramasubbareddy

Authors
  1. T. Aditya Sai Srinivas
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  2. Somula Ramasubbareddy
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  3. Adya Sharma
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  4. K. Govinda
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Corresponding author

Correspondence to T. Aditya Sai Srinivas .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute Industrial Technology, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

  3. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  4. School of Management, National Institute of Technology Karnataka, Surathkal, Karnataka, India

    Ritanjali Majhi

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Aditya Sai Srinivas, T., Ramasubbareddy, S., Sharma, A., Govinda, K. (2021). Optimal Energy Distribution in Smart Grid. In: Satapathy, S., Zhang, YD., Bhateja, V., Majhi, R. (eds) Intelligent Data Engineering and Analytics. Advances in Intelligent Systems and Computing, vol 1177. Springer, Singapore. https://doi.org/10.1007/978-981-15-5679-1_36

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