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Title: Systems and methods for randomized, packet-based power management of conditionally-controlled loads and bi-directional distributed energy storage systems

Abstract

The present disclosure provides a distributed and anonymous approach to demand response of an electricity system. The approach conceptualizes energy consumption and production of distributed-energy resources (DERs) via discrete energy packets that are coordinated by a cyber computing entity that grants or denies energy packet requests from the DERs. The approach leverages a condition of a DER, which is particularly useful for (1) thermostatically-controlled loads, (2) non-thermostatic conditionally-controlled loads, and (3) bi-directional distributed energy storage systems. In a first aspect of the present approach, each DER independently requests the authority to switch on for a fixed amount of time (i.e., packet duration). The coordinator determines whether to grant or deny each request based electric grid and/or energy or power market conditions. In a second aspect, bi-directional DERs, such as distributed-energy storage systems (DESSs) are further able to request to supply energy to the grid.

Inventors:
; ;
Issue Date:
Research Org.:
University of Vermont and State Agricultural College, Burlington, VT (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E); National Science Foundation (NSF)
OSTI Identifier:
1860216
Patent Number(s):
11210747
Application Number:
15/712,089
Assignee:
University of Vermont and State Agricultural College (Burlington, VT)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
DOE Contract Number:  
AR0001289; ECCS-1254549
Resource Type:
Patent
Resource Relation:
Patent File Date: 09/21/2017
Country of Publication:
United States
Language:
English

Citation Formats

Frolik, Jeff, Hines, Paul, and Almassalkhi, Mads. Systems and methods for randomized, packet-based power management of conditionally-controlled loads and bi-directional distributed energy storage systems. United States: N. p., 2021. Web.
Frolik, Jeff, Hines, Paul, & Almassalkhi, Mads. Systems and methods for randomized, packet-based power management of conditionally-controlled loads and bi-directional distributed energy storage systems. United States.
Frolik, Jeff, Hines, Paul, and Almassalkhi, Mads. Tue . "Systems and methods for randomized, packet-based power management of conditionally-controlled loads and bi-directional distributed energy storage systems". United States. https://www.osti.gov/servlets/purl/1860216.
@article{osti_1860216,
title = {Systems and methods for randomized, packet-based power management of conditionally-controlled loads and bi-directional distributed energy storage systems},
author = {Frolik, Jeff and Hines, Paul and Almassalkhi, Mads},
abstractNote = {The present disclosure provides a distributed and anonymous approach to demand response of an electricity system. The approach conceptualizes energy consumption and production of distributed-energy resources (DERs) via discrete energy packets that are coordinated by a cyber computing entity that grants or denies energy packet requests from the DERs. The approach leverages a condition of a DER, which is particularly useful for (1) thermostatically-controlled loads, (2) non-thermostatic conditionally-controlled loads, and (3) bi-directional distributed energy storage systems. In a first aspect of the present approach, each DER independently requests the authority to switch on for a fixed amount of time (i.e., packet duration). The coordinator determines whether to grant or deny each request based electric grid and/or energy or power market conditions. In a second aspect, bi-directional DERs, such as distributed-energy storage systems (DESSs) are further able to request to supply energy to the grid.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {12}
}

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