Peak shaving through real-time scheduling of household appliances

Caprino, Davide; Vedova, Marco L. Della; Facchinetti, Tullio

doi:10.1016/j.enbuild.2014.02.013

Cited by 80 publications

(33 citation statements)

References 19 publications

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“…Appliance load shifting is a reasonable way for reducing peak consumption. Our results show higher peak load reduction as in Dlamini and Cromieres study [31] (reduced by at least 6 %), but lower results as in Caprino et al study [32] (up to 46 % reduction) and Nghiem et al study [33] (reduction by about 40 % or more).…”

Section: Conclusion and Discussioncontrasting

confidence: 73%

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Reducing Household Electricity Consumption through Demand Side Management: The Role of Home Appliance Scheduling and Peak Load Reduction

Laicāne

Blumberga

et al. 2015

Energy Procedia

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One of the key issues arising from extended smart metering roll-out across Europe is how the data obtained from the meters may be used to provide end users with important information on energy-saving advice, which is one of the main principles of demand side management (DSM). The investigation of the potential for demand side management to reduce peak load were evaluated in this study. One four-person household was surveyed with the aim to find out user activities within the house, in particular, the use of appliances. Two appliances -a washing machine and dishwasher -were selected for assessing the potential for load shifting. The derived results show that, as a result of washing machine and dishwasher load shifting, the peak load of a dwelling can be reduced on average by 24 % and 13.5 %, respectively.

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Section: Conclusion and Discussioncontrasting

confidence: 73%

“…In another study Caprino et al [32] used a technique for the electric load management based on real-time scheduling for peak levelling. Common household appliances are modeled in terms of timing parameters.…”

Section: Peak Load Reduction Modelmentioning

confidence: 99%

Reducing Household Electricity Consumption through Demand Side Management: The Role of Home Appliance Scheduling and Peak Load Reduction

Laicāne

Blumberga

et al. 2015

Energy Procedia

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“…Caprino et al [22] showed another approach to real-time scheduling of electric loads, developing simplified physical models for the electric loads whose operation can be somehow predicted basing on reference operation cycles. The main goal of the model by Caprino et al [22] consisted in the reduction of peak loads, achieving a decrease of 8% in the average case.…”

Section: State Of the Art And Placement Of The Present Researchmentioning

confidence: 99%

Demand response management by means of heat pumps controlled via real time pricing

Schibuola

Scarpa

Tambani

2015

Energy and Buildings

106

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“…In recent years, several optimal load control schedules which are based on linear programming or dynamic algorithms are used mainly for peak shaving, load shifting, or contingency reserves to minimize production cost or meet reliability requirements over a limited time horizon [38][39][40].…”

Section: Control Effectivenessmentioning

confidence: 99%

Controllable Load Management Approaches in Smart Grids

Shen

Jiang

2015

Energies

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Abstract:With rapid smart grid technology development, the customer can actively participate in demand-side management (DSM) with the mutual information communication between the distributor operation company and the smart devices in real-time. Controllable load management not only has the advantage of peak shaving, load balance, frequency regulation, and voltage stability, but is also effective at providing fast balancing services to the renewable energy grid in the distributed power system. The load management faces an enormous challenge as the customer has a large number of both small residential loads and dispersed renewable sources. In this paper, various controllable load management approaches are discussed. The traditional controllable load approaches such as the end users' controllable appliances, storage battery, Vehicle-to-Grid (V2G), and heat storage are reviewed. The "broad controllable loads" management, such as the microgrid, Virtual Power Plant (VPP), and the load aggregator are also presented. Furthermore, the load characteristics, control strategies, and control effectiveness are analyzed.

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Peak shaving through real-time scheduling of household appliances

Cited by 80 publications

References 19 publications

Reducing Household Electricity Consumption through Demand Side Management: The Role of Home Appliance Scheduling and Peak Load Reduction

Reducing Household Electricity Consumption through Demand Side Management: The Role of Home Appliance Scheduling and Peak Load Reduction

Demand response management by means of heat pumps controlled via real time pricing

Controllable Load Management Approaches in Smart Grids

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