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    A Stochastic Multi-Criteria Decision-Making Algorithm for Dynamic Load Prioritization in Grid-Interactive Efficient Buildings

    Source: ASME Letters in Dynamic Systems and Control:;2021:;volume( 001 ):;issue: 003::page 031014-1
    Author:
    Kundu, Soumya
    ,
    Bhattacharya, Arnab
    ,
    Chandan, Vikas
    ,
    Radhakrishnan, Nikitha
    ,
    Adetola, Veronica
    ,
    Vrabie, Draguna
    DOI: 10.1115/1.4050124
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Increasing deployment of advanced sensing, controls, and communication infrastructure enables buildings to provide services to the power grid, leading to the concept of grid-interactive efficient buildings. Since occupant activities and preferences primarily drive the availability and operational flexibility of building devices, there is a critical need to develop occupant-centric approaches that prioritize devices for providing grid services, while maintaining the desired end-use quality of service. In this paper, we present a decision-making framework that facilitates a building owner/operator to effectively prioritize loads for curtailment service under uncertainties, while minimizing any adverse impact on the occupants. The proposed framework uses a stochastic (Markov) model to represent the probabilistic behavior of device usage from power consumption data, and a load prioritization algorithm that dynamically ranks building loads using a stochastic multi-criteria decision-making algorithm. The proposed load prioritization framework is illustrated via numerical simulations in a residential building use-case, including plug-loads, air-conditioners, and plug-in electric vehicle chargers, in the context of load curtailment as a grid service. Suitable metrics are proposed to evaluate the closed-loop performance of the proposed prioritization algorithm under various scenarios and design choices. Scalability of the proposed algorithm is established via computational analysis, while time-series plots are used for intuitive explanation of the ranking choices.
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      A Stochastic Multi-Criteria Decision-Making Algorithm for Dynamic Load Prioritization in Grid-Interactive Efficient Buildings

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    contributor authorKundu, Soumya
    contributor authorBhattacharya, Arnab
    contributor authorChandan, Vikas
    contributor authorRadhakrishnan, Nikitha
    contributor authorAdetola, Veronica
    contributor authorVrabie, Draguna
    date accessioned2022-02-05T21:52:30Z
    date available2022-02-05T21:52:30Z
    date copyright3/5/2021 12:00:00 AM
    date issued2021
    identifier issn2689-6117
    identifier otheraldsc_1_3_031014.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276500
    description abstractIncreasing deployment of advanced sensing, controls, and communication infrastructure enables buildings to provide services to the power grid, leading to the concept of grid-interactive efficient buildings. Since occupant activities and preferences primarily drive the availability and operational flexibility of building devices, there is a critical need to develop occupant-centric approaches that prioritize devices for providing grid services, while maintaining the desired end-use quality of service. In this paper, we present a decision-making framework that facilitates a building owner/operator to effectively prioritize loads for curtailment service under uncertainties, while minimizing any adverse impact on the occupants. The proposed framework uses a stochastic (Markov) model to represent the probabilistic behavior of device usage from power consumption data, and a load prioritization algorithm that dynamically ranks building loads using a stochastic multi-criteria decision-making algorithm. The proposed load prioritization framework is illustrated via numerical simulations in a residential building use-case, including plug-loads, air-conditioners, and plug-in electric vehicle chargers, in the context of load curtailment as a grid service. Suitable metrics are proposed to evaluate the closed-loop performance of the proposed prioritization algorithm under various scenarios and design choices. Scalability of the proposed algorithm is established via computational analysis, while time-series plots are used for intuitive explanation of the ranking choices.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Stochastic Multi-Criteria Decision-Making Algorithm for Dynamic Load Prioritization in Grid-Interactive Efficient Buildings
    typeJournal Paper
    journal volume1
    journal issue3
    journal titleASME Letters in Dynamic Systems and Control
    identifier doi10.1115/1.4050124
    journal fristpage031014-1
    journal lastpage031014-9
    page9
    treeASME Letters in Dynamic Systems and Control:;2021:;volume( 001 ):;issue: 003
    contenttypeFulltext
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