Online Competitive Control of Power-Down Systems with Adaptation

Andro-Vasko, James; Bein, Wolfgang

doi:10.1007/978-3-030-14070-0_76

Cited by 3 publications

(2 citation statements)

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“…In [12], we have extensively studied the power-down problem when there is a finite number of intermediate power states. For that discrete version of the power-down problem, we have also developed adaptive algorithms (see [13]). In our recent journal paper [14], we have developed a decrease and reset technique that responds to the frequency of requests by increasing idle times as requests become sparse.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Our paper expands our work on finite state systems given in [12] to continuous scenarios. The paper provides a unified framework based on earlier studies presented at previous ITNG meetings [13,17,18], but simulations in this paper are geared towards modeling throttling traditional power plants in a majority-renewables smart grid. We consider an abstracted set of functions that scale to a wide range of systems and compare three different strategies, namely "exponential", "logarithmic" and "piecewise linear" under competitive analysis.…”

Section: Background and Related Workmentioning

confidence: 99%

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Evaluation of Continuous Power-Down Schemes

Andro-Vasko

Bein

2022

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We consider a power-down system with two states—“on” and “off”—and a continuous set of power states. The system has to respond to requests for service in the “on” state and, after service, the system can power off or switch to any of the intermediate power-saving states. The choice of states determines the cost to power on for subsequent requests. The protocol for requests is “online”, which means that the decision as to which intermediate state (or the off-state) the system will switch has to be made without knowledge of future requests. We model a linear and a non-linear system, and we consider different online strategies, namely piece-wise linear, logarithmic and exponential. We provide results under online competitive analysis, which have relevance for the integration of renewable energy sources into the smart grid. Our analysis shows that while piece-wise linear systems are not specific for any type of system, logarithmic strategies work well for slack systems, whereas exponential systems are better suited for busy systems.

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Section: Background and Related Workmentioning

confidence: 99%