Smart-grid adaptive power management method and system with power factor optimization and total harmonic distortion reduction

• US 10,186,866 B2
• Filed: 08/23/2016
• Issued: 01/22/2019
• Est. Priority Date: 09/15/2009
• Status: Active Grant

• Current Assignee: Volta Energy, Inc.
• Original Assignee: Networked Power, Inc.
• Inventors: Kouroussis, Denis, Kulali, Emre
• Primary Examiner(s): Everett, Christopher E.
• Application Number:
  US15/245,114
• Publication Number:
  US 20160372924A1
• Time in Patent Office: 882 Days
• CPC Class Codes: G05B 13/021 in which a variable is automatically adjusted to optimise the performance
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: H02J 13/00034 the elements or equipment being or involving an electric power substation
• CPC Class Codes: H02J 2203/10 Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
• CPC Class Codes: H02J 3/01 Arrangements for reducing harmonics or ripples
• CPC Class Codes: H02J 3/144 Demand-response operation of the power transmission or distribution network
• CPC Class Codes: H02J 3/18 Arrangements for adjusting, eliminating or compensating reactive power in networks for adjustment of voltage H02J3/16
• CPC Class Codes: H02J 3/1892 the arrangements being an integral part of the load, e.g. a motor, or of its control circuit
• CPC Class Codes: H02M 1/4233 using a bridge converter comprising active switches
• CPC Class Codes: H02M 5/458 using semiconductor devices only
• CPC Class Codes: Y02B 70/10 Technologies improving the efficiency by using switched-mode power supplies [SMPS], i.e. efficient power electronics conversion e.g. power factor correction or reduction of losses in power supplies or efficient standby modes
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving

Abstract

A method and system of power factor optimization and total harmonic distortion are provided under the premise of efficient power management and distribution on an electrical grid. The method and system include a novel optimization technique based on a novel current profiling methodology enabling real-time power management with power factor correction as a function of the optimization. The optimization can be performed under dynamic current constraints. When deployed on an electrical grid, the method and system can provide a new technique for power management targeting an efficiency of the electrical grid. The method and system can thus provide for reduced costs of energy production and reduced carbon emissions into the atmosphere.

Claims

1. A system for optimizing electrical power flow in an electrical distribution network, comprising:

a first plurality of intelligent load management controllers (ILMUCs) configured to control power delivery to a first plurality of electrical devices coupled to a first sub-grid of the electrical distribution network;

a second plurality of ILMUCs configured to control power delivery to a second plurality of electrical devices coupled to a second sub-grid of the electrical distribution network; and

a power management server in communication with the first and second pluralities of ILMUCs configured to receive current use information from said first and second pluralities of ILMUCs and determine and control first and second switching configurations of the first and second pluralities of ILMUCs,

wherein the power management server is further configured to determine and control a system-level switching configuration based on the determined first and second switching configurations of the first and second pluralities of ILMUCs.

2. The system of claim 1, wherein the power management server is configured to determine the first, second, and system-level switching configurations iteratively to optimize the first switching configuration of the first sub-grid and/or the second switching configuration of the second sub-grid.

3. The system of claim 2, wherein optimizing the first switching configuration comprises maximizing the power factor of the first sub-grid and optimizing the second switching configuration comprises maximizing the power factor of the second sub-grid.

4. The system of claim 2, wherein optimizing the first switching configuration and/or second switching configuration comprises taking into consideration pricing information and/or supply and demand information.

5. The system of claim 1, wherein the power management server is configured to determine the first, second, and system-level switching configurations iteratively to optimize a power factor of the electrical distribution network as a whole.

6. The system of claim 5, wherein optimizing the system-level switching configuration comprises maximizing the power factor of the electrical distribution network as a whole.

7. The system of claim 5, wherein optimizing the system-level switching configuration comprises taking into consideration pricing information and/or supply and demand information.

8. A method of optimizing power flow in an electrical power distribution system, comprising:

receiving a first set of current use patterns of one or more loads coupled to a first sub-grid of a power grid;

receiving a second set of current use patterns of one or more loads coupled to a second sub-grid of the power grid;

using the first set of current use patterns, determining a first sub-grid switching configuration of a first plurality of intelligent load management controllers (ILMUCs) that control power delivery to the one or more loads coupled to the first sub-grid;

using the second set of current use patterns, determining a second sub-grid switching configuration of a second plurality of ILMUCs that control power delivery to the one or more loads coupled to the second sub-grid;

determining a system-level switching configuration based on the determined first and second sub-grid switching configurations; and

directing the first and second pluralities of ILMUCs to operate according to the determined system-level switching configuration.

9. The method of claim 8, wherein determining the first sub-grid switching configuration, determining the second sub-grid switching configuration, and determining the system-level switching configuration are performed iteratively to determine a system-level optimum switching configuration that maximizes a system-level power factor.

10. The method of claim 9, wherein the optimum switching configuration is determined taking into account a first sub-grid upper bound power constraint, a second sub-grid upper bound power constraint, and/or a system-level upper bound power constraint.

11. The method of claim 8, wherein determining the system-level switching configuration is performed using pricing information and/or supply and demand information.

12. The method of claim 8, further comprising

determining an available excess current that can be supplied to electrical loads coupled to the first sub-grid;

and

directing an ILMUC associated with the first sub-grid to deactivate a load it is controlling and reactivate it as a source if it is determined that the available excess current has become zero or negative.

13. The system of claim 12, wherein upon reactivating the load as a source, determining an updated system-level optimum switching configuration.