2017 Innovations in Power and Advanced Computing Technologies (i-PACT) · 2017 · 13 citations · 13 references
ManagementComputational EngineeringDemand ForecastingEnergy ManagementOptimizationDemand ManagementDemand ResponseDemand-side Energy ManagementDemand-side ManagementElectricity Load ManagementPeak Load ManagementDemand Response OperationDemand Response OptimizationGenetic Algorithm OptimizationLoad CurtailmentPeak Load DemandResidential Demand ResponseResidential Energy ConservationResidential Load Management
Load control on the consumer side is termed as Demand Response and there is a purpose and urgency to develop new technologies for achieving energy conservation and demand response. There are several DR techniques and algorithms. However, this paper features the study of residential consumer behavior and its response towards Demand Side Management using load-shifting concept. The primary objective of DR is to reduce the overall peak load demand and the operational cost. Genetic Algorithm is involved to the average load profile of the devices used by the residential consumers on the hourly basis. MatLab is used for the simulation purpose and the result achieves substantial savings in cost along with a peak load reduction.
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