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dc.contributor.authorShahnia, Farhad
dc.contributor.authorWishart, M.T.
dc.contributor.authorGhosh, A.
dc.contributor.editorZeashan H Khan
dc.contributor.editorA. B. M. Shawkat Ali
dc.contributor.editorZahid Riaz
dc.identifier.citationShahnia, Farhad and Wishart, Michael T. and Ghosh, Arindam. 2014. On-line Demand Management of Low Voltage Residential Distribution Networks in Smart Grids, in Khan, Z.H. and Shawkat, A.B.M., Riaz, Z. (ed), Computational Intelligence for Decision Support in Cyber-Physical Systems. pp. 293-328. Singapore: Springer.

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.

dc.subjectVoltage control
dc.subjectDecision making
dc.subjectSmart grid
dc.subjectPeak load shaving
dc.subjectPower balancing
dc.subjectDemand management
dc.titleOn-line Demand Management of Low Voltage Residential Distribution Networks in Smart Grids
dc.typeBook Chapter
dcterms.source.titleComputational Intelligence for Decision Support in Cyber-Physical Systems
curtin.accessStatusFulltext not available

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