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On-line Demand Management of Low Voltage Residential Distribution Networks in Smart Grids

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Computational Intelligence for Decision Support in Cyber-Physical Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 540))

Abstract

A novel intelligent online demand management system is discussed in this chapter for peak load management in low voltage residential distribution networks based on the smart grid concept. The discussed system also regulates the network voltage, balances the power in three phases and coordinates the energy storage within the network. This method uses low cost controllers, with two-way communication interfaces, installed in costumers’ premises and at distribution transformers to manage the peak load while maximizing customer satisfaction. A multi-objective decision making process is proposed to select the load(s) to be delayed or controlled. The efficacy of the proposed control system is verified by a MATLAB-based simulation which includes detailed modeling of residential loads and the network.

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Correspondence to Farhad Shahnia .

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© 2014 Springer Science+Business Media Singapore

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Shahnia, F., Wishart, M.T., Ghosh, A. (2014). On-line Demand Management of Low Voltage Residential Distribution Networks in Smart Grids. In: Khan, Z., Ali, A., Riaz, Z. (eds) Computational Intelligence for Decision Support in Cyber-Physical Systems. Studies in Computational Intelligence, vol 540. Springer, Singapore. https://doi.org/10.1007/978-981-4585-36-1_10

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  • DOI: https://doi.org/10.1007/978-981-4585-36-1_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4585-35-4

  • Online ISBN: 978-981-4585-36-1

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