Decentralized random control of refrigerator appliances

Angeli, David; Kountouriotis, P.A.

doi:10.3182/20110828-6-it-1002.00226

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…8(a)) as well as the deterministic approach encountered in the literature [27][28][29][30][31][32][33][34] (Fig. 8(b).…”

Section: Results Of the Simulation And Evaluation Of Energy Performancementioning

confidence: 99%

“…Controlling thermostatic devices, in order to improving the performance of the EPS is widely described in the literature [27][28][29][30][31][32][33][34]. However, these solutions often require interference in the structure of the devices (e.g., a forced change of temperature range delimits in the aggregate ), which action is possible through communications (Smart Grid) [1, 15 35-42].…”

Section: 3mentioning

confidence: 99%

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Distributed active demand response system for peak power reduction through load shifting

Benysek¹,

Jarnut²,

Werminski³

et al. 2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The large variability in power consumption in electrical power systems (EPS) influences not only growth balance losses and technical losses, but also in some cases reduces energy security. Delayed restoration of power generation, combined with unpredictable weather events leading to the loss of generating power can lead to a situation in which to save the stability of the power system there must be introduced in the system a load power limit or even disconnection of end-user in a given area, which will significantly reduce the comfort of use of energy. This situation can be prevented through either the building of new intervention power units or the aggregated use of new energy technologies, such as distributed network resources (DER), which are part of an intelligent Smart Grid network. Such resources bring together virtual power plants (VPP) and demand side management (DSM). The article presents an alternative decentralized active demand response (DADR) system, that by acting on selected groups of loads reduces peak loads with minimized loss of comfort of energy in use for the end-user. The system operates without any communication. The effectiveness of the proposed solution has been confirmed, outlined in test results obtained by the authors from a developed analytical model, which also contains stochastic algorithms to decrease the negative impact of such DSM systems on the power system (power overshoot and oscillation).

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“…8(a)) as well as the deterministic approach encountered in the literature [27][28][29][30][31][32][33][34] (Fig. 8(b).…”

Section: Results Of the Simulation And Evaluation Of Energy Performancementioning

confidence: 99%

Section: 3mentioning

confidence: 99%

Distributed active demand response system for peak power reduction through load shifting

Benysek¹,

Jarnut²,

Werminski³

et al. 2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…Hence, such appliances are made "smarter" by allowing consumers to define a range of acceptable temperature setpoints. When the need arises, the setpoint that requires the least work by the appliance is maintained [5].…”

Section: Smart Appliancesmentioning

confidence: 99%

An analysis of peak demand reductions due to elasticity of domestic appliances

Srikantha

Rosenberg

Keshav

2012

Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet

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Unlike prior work on demand management, which typically requires industrial loads to be turned off during peak times, this paper studies the potential to carry out demand response by modifying the elastic load components of common household appliances. Such a component can decrease its instantaneous power draw at the expense of increasing its duration of operation with no impact on the appliance's lifetime. We identify the elastic components of ten common household appliances. Assuming separate control of an appliance's elastic component, we quantify the relationship between the potential reduction in aggregate peak and the duration required to complete the operation of appliances in four geographic regions: Ontario, Quebec, France and India. We find that even with a small extension to the operation duration of appliances, peak demand can be significantly reduced in all four regions both during winter and summer. For example, during winter in Quebec, a nearly 125 MW reduction in peak demand can be obtained with just a 10% increase in appliance operation duration. We conclude that exploiting appliance elasticity to reduce peak power demand should be an important consideration for appliance manufacturers. From a policy perspective, our study gives regulators the ability to quantitatively assess the impact of requiring manufacturers to conform to "smart appliance" standards.

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