Power quality of service optimization for microgrids

US10211638B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10211638-B2
Application numberUS-201415025294-A
CountryUS
Kind codeB2
Filing dateSep 30, 2014
Priority dateSep 30, 2013
Publication dateFeb 19, 2019
Grant dateFeb 19, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

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Various examples are provided for power quality of service optimization for microgrids. In one example, among others, a microgrid includes a smart meter configured to control supply of electric power to loads based at least in part upon energy consumption scheduling of the loads, which is based at least in part upon an effective electric generation capacity associated with the microgrid. The energy consumption scheduling can be based at least in part upon estimated power output of a sustainable energy resource of the microgrid and a load demand characterization of the loads. In another example, a system comprises a plurality of microgrids and an advanced metering infrastructure (AMI) configured to monitor operations of the microgrids and to control supply of electric power from sustainable energy resources and energy storage systems to loads of the microgrids via smart meters based at least in part upon energy consumption scheduling of the loads.

First claim

Opening claim text (preview).

Therefore, at least the following is claimed: 1. A microgrid, comprising: a plurality of loads; a sustainable energy resource configured to provide electric power to the plurality of loads; an energy storage system configured to provide stored electric power to the plurality of loads when generation capability of the sustainable energy resource is exceeded by load demand of the plurality of loads; and a smart meter configured to control supply of electric power to the plurality of loads based at least in part upon energy consumption scheduling of the plurality of loads, where the energy consumption scheduling is based at least in part upon an effective electric generation capacity (EEGC) of the sustainable energy resource and the energy storage system, and the smart meter is configured to initiate provision of electric power to a load of the plurality of loads in response to acceptance of a load demand request based at least in part upon the energy consumption scheduling and to store unaccepted load demand requests for reconsideration prior to expiration of a predefined delay tolerance. 2. The microgrid of claim 1 , wherein the energy consumption scheduling comprises a defined schedule of enemy consumption for individual loads of the plurality of loads over a series of predetermined time frames, and is based at least in part upon estimated power output of the sustainable energy resource and a load demand characterization of the plurality of loads. 3. The microgrid of claim 2 , wherein the load demand characterization is associated with an occupancy pattern of a building. 4. The microgrid of claim 2 , wherein the sustainable energy resource comprises a photovoltaic system, and the estimated power output is based at least in part upon local insolation and photovoltaic array characteristics. 5. The microgrid of claim 1 , wherein the energy consumption scheduling shifts at least a portion of the load demand of the plurality of loads toward a power production peak of the sustainable energy resource. 6. The microgrid of claim 1 , wherein the acceptance of the load demand request is further based upon resource allocation of the microgrid and a state of charge of the energy storage system. 7. The microgrid of claim 1 , wherein the acceptance of the load demand request is further based upon load criticality corresponding to the load demand request. 8. The microgrid of claim 1 , wherein the smart meter is configured to initiate disconnection of a load of the plurality of loads from the microgrid when the load is not being used or to avoid failure of the microgrid. 9. The microgrid of claim 1 , wherein the microgrid is operating in an islanded mode. 10. A system, comprising: a plurality of interconnected microgrids, individual microgrids of the plurality of interconnected microgrids comprising: a plurality of loads; a sustainable energy resource; an energy storage system; and a smart meter; and an advanced metering infrastructure (AMI) configured to monitor operations of the plurality of interconnected microgrids and to control supply of electric power from the sustainable energy resource and the energy storage system of the individual microgrids to the plurality of loads of the individual microgrids via the smart meters of the individual microgrids based at least in part upon energy consumption scheduling of the plurality of loads of the individual microgrids, where the energy consumption scheduling comprises a defined schedule of energy consumption for individual loads of the plurality of loads of the individual microgrids over a series of predetermined time frames, and the energy consumption scheduling is based at least in part upon an effective electric generation capacity (EEGC) of the sustainable energy resource and the energy storage system of the individual microgrids. 11. The system of claim 10 , wherein a portion of the electric power from the sustainable energy resource and the energy storage system of a first individual microgrid is supplied to the plurality of loads of a second individual microgrid. 12. The system of claim 10 , wherein a portion of the electric power supplied to the plurality of loads of a first individual microgrid of the plurality of interconnected microgrids is provided by a second microgrid of the plurality of interconnected microgrids. 13. The system of claim 12 , wherein another portion of the electric power supplied to the plurality of loads of the first individual microgrid is provided by a utility grid. 14. The system of claim 12 , wherein another portion of the electric power supplied to the plurality of loads of the first individual microgrid is provided by a centralized energy storage system not included in the individual microgrids. 15. The system of claim 10 , wherein the energy consumption scheduling is based at least in part upon estimated power output of the sustainable energy resource of the individual microgrids and a load demand characterization of the plurality of loads of the individual microgrids. 16. The system of claim 10 , wherein the smart meter of a first individual microgrid is configured to initiate provision of electric power to a load of the plurality of loads of the first individual microgrid in response to acceptance of a load demand request for the load, the acceptance of the load demand request based at least in part upon the energy consumption scheduling. 17. The system of claim 16 , wherein the acceptance of the load demand request is further based upon resource allocation of the microgrid of the first individual microgrid and a state of charge of the energy storage system of the first individual microgrid. 18. The system of claim 16 , wherein the energy consumption scheduling is based upon an effective electric generation capacity (EEGC) of the sustainable energy resource and the energy storage system of a second microgrid of the plurality of microgrids. 19. The system of claim 16 , wherein the smart meter of the first individual microgrid is configured to store unaccepted load demand requests for reconsideration prior to expiration of a predefined delay tolerance. 20. The system of claim 10 , wherein the smart meter of a first microgrid of the plurality of interconnected microgrids communicates with the smart meter of a second microgrid of the plurality of interconnected microgrids to coordinate creation of the energy consumption scheduling of the plurality of loads of the individual microgrids. 21. The system of claim 20 , wherein the smart meters of the first and second microgrids communicates with a centralized control system to coordinate the creation of the energy consumption scheduling. 22. The system of claim 10 , wherein one or more of the smart meters of the individual microgrids are configured to initiate provision of electric power to a load of the plurality of loads in response to acceptance of a load demand request based at least in part upon the energy consumption scheduling, and to store unaccepted load demand requests for reconsideration prior to expiration of a predefined delay tolerance. 23. A smart meter of a microgrid including a sustainable enemy resource and an enemy storage system, the smart meter comprising: an admission control configured to accept a load demand request based at least in part upon resource allocation of the microgrid, the load demand request corresponding to a load of the microgrid; a scheduler configured to initiate provision of electrical power to the load

Assignees

Inventors

Classifications

  • Load forecast, e.g. methods or systems for forecasting future load demand · CPC title

  • Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks · CPC title

  • Photovoltaics · CPC title

  • Needs-based resource requirements planning or analysis · CPC title

  • Energy or water supply · CPC title

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What does patent US10211638B2 cover?
Various examples are provided for power quality of service optimization for microgrids. In one example, among others, a microgrid includes a smart meter configured to control supply of electric power to loads based at least in part upon energy consumption scheduling of the loads, which is based at least in part upon an effective electric generation capacity associated with the microgrid. The en…
Who is the assignee on this patent?
Do Rosario Jackseario Antonio Dionisio, Kelley Brian, Univ Texas
What technology area does this patent fall under?
Primary CPC classification H02J3/383. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Feb 19 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).