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DSM Using Fish Swarm Optimization and Harmony Search Algorithm Using HEMS in Smart Grid

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2017)

Abstract

Proliferation in smart grid gave rise to different Demand Side Management (DSM) techniques, designed for type of sectors i.e. domestic, trade and commercial sectors, very effective in smoothening load profile of the consumers in grid area network. To resolve energy crises in residential areas, smart homes are introduced; contains Smart Meters, allows bidirectional communication between utilities and customers. For this purpose, different heuristic techniques are approached to overcome state of the art energy crisis which provide best optimal solution. The purpose of our implementation is to reduce the total cost and Peak to Average Ratio value while keeping in mind that there is a trade-off of these with waiting time up to an acceptable limit. Our proposed scheme uses heuristic technique Harmony Search Algorithm with Fish Swarm Algorithm to achieve the defined goals. Real time prizing signal is used for bill calculation in Advanced Metering Infrastructure.

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Correspondence to Nadeem Javaid .

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Haider, S., Faisal, H.M., Amin, Z., Nawaz, H., Akram, K., Javaid, N. (2018). DSM Using Fish Swarm Optimization and Harmony Search Algorithm Using HEMS in Smart Grid. In: Barolli, L., Woungang, I., Hussain, O. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-65636-6_47

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  • DOI: https://doi.org/10.1007/978-3-319-65636-6_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65635-9

  • Online ISBN: 978-3-319-65636-6

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