Agent-based microgrid architecture for generation following protocols

Goldsmith, Steven

Title: Agent-based microgrid architecture for generation following protocols

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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:: Goldsmith, Steven

Issue Date:: 2019-05-14

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1568334

Patent Number(s):: 10289143

Application Number:: 15/318,069

Assignee:: Michigan Technological University (Houghton, MI)

Patent Classifications (CPCs):: H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER

Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y04 - INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS Y04S - SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS

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H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J2300/28 - The renewable source being wind energy
H02J2300/20 - The dispersed energy generation being of renewable origin

Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y04 - INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS Y04S - SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
Y04S40/20 - Information technology specific aspects

G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
G06Q50/06 - Electricity, gas or water supply

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J2203/20 - Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

G - PHYSICS G05 - CONTROLLING G05F - SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
G05F1/66 - Regulating electric power

G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
G06Q10/04 - Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem" {

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J7/34 - Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
H02J2310/10 - The network having a local or delimited stationary reach
H02J2300/24 - of photovoltaic origin

Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E - REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
Y02E10/76 - Power conversion electric or electronic aspects

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J7/345 - {using capacitors as storage or buffering devices}
H02J3/383 - {Solar energy, e.g. photovoltaic energy

Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E - REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
Y02E60/00 - Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J7/35 - with light sensitive cells
H02J3/382 - {the generators exploiting renewable energy}

H - ELECTRICITY H02 - GENERATION H02M - APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS
H02M7/44 - by static converters

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J3/386 - {Wind energy
H02J7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries

Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E - REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
Y02E10/56 - Power conversion electric or electronic aspects

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J2300/40 - wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
H02J3/381 - {Dispersed generators}
H02J3/00 - Circuit arrangements for ac mains or ac distribution networks

H - ELECTRICITY H02 - GENERATION H02M - APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS
H02M3/04 - by static converters

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J2310/16 - The load or loads being an Information and Communication Technology [ICT] facility

G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
G06Q10/06315 - {Needs-based resource requirements planning or analysis}
G06Q10/06 - Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources

H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
H02J13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network
H02J5/00 - Circuit arrangements for transfer of electric power between ac networks and dc networks

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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.

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                    Goldsmith, Steven. Agent-based microgrid architecture for generation following protocols.  United States.

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                    Goldsmith, Steven. Tue .  
        "Agent-based microgrid architecture for generation following protocols".  United States.  https://www.osti.gov/servlets/purl/1568334.

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@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          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2019},

  month        = {5}

}

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