A Stochastic Multi-Criteria Decision-Making Algorithm for Dynamic Load Prioritization in Grid-Interactive Efficient BuildingsSource: ASME Letters in Dynamic Systems and Control:;2021:;volume( 001 ):;issue: 003::page 031014-1Author:Kundu, Soumya
,
Bhattacharya, Arnab
,
Chandan, Vikas
,
Radhakrishnan, Nikitha
,
Adetola, Veronica
,
Vrabie, Draguna
DOI: 10.1115/1.4050124Publisher: 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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contributor author | Kundu, Soumya | |
contributor author | Bhattacharya, Arnab | |
contributor author | Chandan, Vikas | |
contributor author | Radhakrishnan, Nikitha | |
contributor author | Adetola, Veronica | |
contributor author | Vrabie, Draguna | |
date accessioned | 2022-02-05T21:52:30Z | |
date available | 2022-02-05T21:52:30Z | |
date copyright | 3/5/2021 12:00:00 AM | |
date issued | 2021 | |
identifier issn | 2689-6117 | |
identifier other | aldsc_1_3_031014.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4276500 | |
description 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A Stochastic Multi-Criteria Decision-Making Algorithm for Dynamic Load Prioritization in Grid-Interactive Efficient Buildings | |
type | Journal Paper | |
journal volume | 1 | |
journal issue | 3 | |
journal title | ASME Letters in Dynamic Systems and Control | |
identifier doi | 10.1115/1.4050124 | |
journal fristpage | 031014-1 | |
journal lastpage | 031014-9 | |
page | 9 | |
tree | ASME Letters in Dynamic Systems and Control:;2021:;volume( 001 ):;issue: 003 | |
contenttype | Fulltext |