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Optimizations of Power Consumption and Supply in the Smart Grid: Analysis of the Impact of Data Communication Reliability
2013
IEEE Transactions on Smart Grid
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For optimizing the power consumption, we consider a deferrable load scheduling method which is modeled by using a constrained Markov decision process (CMDP) model, taking into account the unavailability ...
In this paper, we consider the reliability of the smart grid data communications infrastructure and its impact on the power consumption and supply optimizations. ...
The MDMS server sends the price information to the deferrable load. The deferrable load optimizes the scheduling policy (i.e., consumption optimization). ...
doi:10.1109/tsg.2012.2224677
fatcat:lf5oks3ct5a7vay2frbbpc2rim
Optimal Consumption Policies for Power-Constrained Flexible Loads Under Dynamic Pricing
2015
IEEE Transactions on Smart Grid
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First, we propose a comprehensive model for which the optimal policy can be explicitly computed. ...
The proposed consumer model features a time varying bound on power consumption, the presence of a nondeferrable load profile, the presence of a load profile that can be deferred up to a deadline, and the ...
.: OPTIMAL CONSUMPTION POLICIES FOR POWER-CONSTRAINED FLEXIBLE LOADS UNDER DYNAMIC PRICING ...
doi:10.1109/tsg.2015.2393053
fatcat:iyhiwzg7vfcmbi2w5fn6qm6wju
Smooth Scheduling for Electricity Distribution in the Smart Grid
2015
IEEE Systems Journal
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We formulate a constrained nonlinear programming problem and incorporate the theory of majorization to develop algorithms that can compute smoothness optimal schedules for the deferrable load dominant ...
An effective heuristic algorithm is also presented by extending the majorization-based algorithm for the general scenario with both priority loads and deferrable loads. ...
In each time slot t, W min (t) tracks the priority load and the deferrable load with deadline t, whereas W max (t) represents an upper bound of the possible consumption by time t. ...
doi:10.1109/jsyst.2014.2340231
fatcat:wjqxxp3oubhaxeem23ttdr5gfe
Peak-minimizing online EV charging: Price-of-uncertainty and algorithm robustification
2015
2015 IEEE Conference on Computer Communications (INFOCOM)
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energy (for free) and the energy procured from the external grid. ...
We study competitive online algorithms for EV (electrical vehicle) charging under the scenario of an aggregator serving a large number of EVs together with its background load, using both its own renewable ...
ACKNOWLEDGEMENTS This work has been partially supported by the NSF through grant CCF-1442726 and the University Grants Committee of the Hong Kong Special Administrative Region, China (Themebased Research ...
doi:10.1109/infocom.2015.7218621
dblp:conf/infocom/ZhaoLC15
fatcat:75h3t3l44bbrrnkh7zbltxowse
Review of Trends and Targets of Complex Systems for Power System Optimization
2020
Energies
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PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems ...
The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. ...
Funding: This paper was supported by the following projects: This paper was supported by the following projects: SP2020/129 Students Grant Competition; TACR TN01000007, TK02030039 and TJ02000157, Czech ...
doi:10.3390/en13051079
fatcat:znpuufpv2jd2jf2arnlamiaj5y
Electric Vehicle Charging Scheduling in Green Logistics: Challenges, Approaches and Opportunities
[article]
2021
arXiv
pre-print
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Moreover, we discuss research opportunities in applying market-based mechanisms, which shall be coordinated with stochastic optimization and machine learning, to the decentralized, dynamic and data-driven ...
In green logistics, a well-scheduled charging ensures an efficient operation of transportation and power systems and, at the same time, provides economical and satisfactory charging services for drivers ...
Similarly, ANN with sample average approximation is used for predicting the base load power consumption [38] . ...
arXiv:2103.07635v1
fatcat:s63yfitub5b6fllkr4t3vukx5y
Real-time dynamic voltage scaling for low-power embedded operating systems
2001
Proceedings of the eighteenth ACM symposium on Operating systems principles - SOSP '01
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However, for a large class of applications in embedded real-time systems like cellular phones and camcorders, the variable operating frequency interferes with their deadline guarantee mechanisms, and DVS ...
We show through simulations and a working prototype implementation that these RT-DVS algorithms closely approach the theoretical lower bound on energy consumption, and can easily reduce energy consumption ...
The approach taken for this implementation was to maximize flexibility and ease of use, rather than optimize for performance. ...
doi:10.1145/502034.502044
dblp:conf/sosp/PillaiS01
fatcat:3mk2pqlumjhknipmtp6qujfnme
Real-time dynamic voltage scaling for low-power embedded operating systems
2001
ACM SIGOPS Operating Systems Review
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However, for a large class of applications in embedded real-time systems like cellular phones and camcorders, the variable operating frequency interferes with their deadline guarantee mechanisms, and DVS ...
We show through simulations and a working prototype implementation that these RT-DVS algorithms closely approach the theoretical lower bound on energy consumption, and can easily reduce energy consumption ...
The approach taken for this implementation was to maximize flexibility and ease of use, rather than optimize for performance. ...
doi:10.1145/502059.502044
fatcat:crrouj4pgjdgnmt2er47au525a
Real-time dynamic voltage scaling for low-power embedded operating systems
2001
Proceedings of the eighteenth ACM symposium on Operating systems principles - SOSP '01
Preserved Fulltext
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The file type is application/pdf.
However, for a large class of applications in embedded real-time systems like cellular phones and camcorders, the variable operating frequency interferes with their deadline guarantee mechanisms, and DVS ...
We show through simulations and a working prototype implementation that these RT-DVS algorithms closely approach the theoretical lower bound on energy consumption, and can easily reduce energy consumption ...
The approach taken for this implementation was to maximize flexibility and ease of use, rather than optimize for performance. ...
doi:10.1145/502043.502044
fatcat:hwsokxqzqbf3pcs3wslrxoadlu
Minimal-Variance Distributed Deadline Scheduling
[article]
2020
arXiv
pre-print
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Moreover, we derive the Pareto-optimality condition for distributed policies that balance the variance and mean square of the service capacity. ...
The performance of the optimal distributed policies is compared to that of the optimal centralized policy by deriving closed-form bounds and by testing centralized and distributed algorithms using real ...
For example, in the emerging load from electric vehicle charging stations, maintaining stable power consumption (i.e. limiting the fluctuations in power consumption) is important because large peaks in ...
arXiv:2004.12280v2
fatcat:ngbrqedksvephougqua6r3v7i4
Supporting Deliberative Real-Time AI Systems: A Fixed Priority Scheduling Approach
2007
Real-Time Systems (ECRTS), Proceedings of the Euromicro Workshop on
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for allowing optional and anytime components to be executed for enhancing system utility. ...
Constructing deliberative real-time AI systems is challenging due to the high execution-time variance in AI algorithms and the requirement of worst-case bounds for hard real-time guarantees, often resulting ...
In general, a server algorithm is characterised by its period, priority among other tasks, capacity consumption rule and replenishment policy. ...
doi:10.1109/ecrts.2007.32
dblp:conf/ecrts/ChuB07
fatcat:ayfinirilbdxrhdjv5qc4wjyhu
Cost- and QoS-Efficient Serverless Cloud Computing
[article]
2020
arXiv
pre-print
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We determined the minimum chance of success thresholds for tasks to pass to get scheduled and executed. ...
Specifically, our strategy in this dissertation is to avoid redundant computing, in cases where independent task requests are similar to each other and for tasks that are pointless to process. ...
As such, instantaneous robustness can act as a performance indicator for task deferral and mapping heuristics. ...
arXiv:2011.11711v1
fatcat:ra66iigninem7gqibmivsn3dba
Distributed Load Scheduling in Residential Neighborhoods for Coordinated Operation of Multiple Home Energy Management Systems
[article]
2021
arXiv
pre-print
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A new price-based global and individualized incentives are proposed for customers to respond and adjust loads. ...
In the proposed framework customers cooperate to optimize energy consumption at the neighborhood level and prevent any grid operational constraints violation. ...
Similarly, they get penalized for increasing their consumption on peak loads or decreasing it on valley loads. The price adjustment policy is explained in Figure 3 . ...
arXiv:2011.04338v4
fatcat:pbqkzcnhxzed3aopsht374wn24
Risk-Limiting Dynamic Contracts for Direct Load Control
[article]
2014
arXiv
pre-print
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The performance and usefulness of the proposed contract method and its application to direct load control are demonstrated using data on the electric energy consumption of customers in Austin, Texas as ...
We also propose an approximate decomposition of the optimal contract design problem for multiple customers into multiple low-dimensional contract problems for one customer. ...
ACKNOWLEDGEMENT The authors would like to thank Professor Lawrence Craig Evans for helpful discussions on dynamic contract theory and PDE-based approaches for it. ...
arXiv:1409.1994v3
fatcat:ofsnixcevfdlzdhltqdugden5a
Carbon-Aware Computing for Datacenters
[article]
2021
arXiv
pre-print
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The core component of the system is a suite of analytical pipelines used to gather the next day's carbon intensity forecasts, train day-ahead demand prediction models, and use risk-aware optimization to ...
This paper introduces Google's system for Carbon-Intelligent Compute Management, which actively minimizes electricity-based carbon footprint and power infrastructure costs by delaying temporally flexible ...
include deadline constraints [16] - [18] . ...
arXiv:2106.11750v1
fatcat:dsxp2eh7undmlje3aigvvohaei
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