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Title: Agent-based microgrid architecture for generation following protocols

Abstract

A system for predicting power and loads over a single, relatively short time horizon. More specifically, a system comprising a Storage Agent (S-agent) Cohort within a grid control society, wherein the system expands G and L intra-cohort protocols to allow the S-cohort to participate in power management of the grid by scheduling storage components in source or load roles as determined by the time-varying state of the power imbalance and by the risk-adjusting capacity margin relationship between the G and L cohorts.

Inventors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1568334
Patent Number(s):
10,289,143
Application Number:
15/318,069
Assignee:
Michigan Technological University (Houghton, MI)
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 06/12/2015
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Goldsmith, Steven. Agent-based microgrid architecture for generation following protocols. United States: N. p., 2019. Web.
Goldsmith, Steven. Agent-based microgrid architecture for generation following protocols. United States.
Goldsmith, Steven. 2019. "Agent-based microgrid architecture for generation following protocols". United States. https://www.osti.gov/servlets/purl/1568334.
@article{osti_1568334,
title = {Agent-based microgrid architecture for generation following protocols},
author = {Goldsmith, Steven},
abstractNote = {A system for predicting power and loads over a single, relatively short time horizon. More specifically, a system comprising a Storage Agent (S-agent) Cohort within a grid control society, wherein the system expands G and L intra-cohort protocols to allow the S-cohort to participate in power management of the grid by scheduling storage components in source or load roles as determined by the time-varying state of the power imbalance and by the risk-adjusting capacity margin relationship between the G and L cohorts.},
doi = {},
url = {https://www.osti.gov/biblio/1568334}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {5}
}