On-line control of distributed resources with different dispatching levels

• US 20040024494A1
• Filed: 12/28/2001
• Published: 02/05/2004
• Est. Priority Date: 12/28/2001
• Status: Abandoned Application

• Current Assignee: ABB Research Ltd. (ABB Ltd.)
• Original Assignee: ABB Research Ltd. (ABB Ltd.)
• Inventors: Bayoumi, Deia Salah-Eldin, Julian, Danny E., Petrie, Edward M.
• Application Number:
  US10/040,998
• Publication Number:
  US 20040024494A1
• Time in Patent Office: Days
• US Class Current: 700/286
• CPC Class Codes: H02J 13/00016 using a wired telecommunication network or a data transmission bus
• CPC Class Codes: H02J 13/00018 using phone lines
• CPC Class Codes: H02J 13/00024 by means of mobile telephony
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 2300/10 The dispersed energy generation being of fossil origin, e.g. diesel generators
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy wind motors F03D
• CPC Class Codes: H02J 2300/30 The power source being a fuel cell
• CPC Class Codes: H02J 2300/40 wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 3/466 Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02P 90/40 Fuel cell technologies in production processes
• CPC Class Codes: Y04S 10/12 Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
• CPC Class Codes: Y04S 10/123 the energy generation units being or involving renewable energy sources
• CPC Class Codes: Y04S 10/50 : Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
• CPC Class Codes: Y04S 20/221 : General power management systems
• CPC Class Codes: Y04S 20/222 : Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 40/124 : using wired telecommunication networks or data transmission busses
• CPC Class Codes: Y04S 40/126 : using wireless data transmission

Abstract

Dispatching schemes for distributed resources involve decisions made both at a central location and at the local level with respect to a distributed resource. To handle cases in which a decision made at the central location and a decision made at the local level conflict, a set of rules preferably determines the priority of control. A distributed resource preferably has an intelligent component associated with it. The intelligent component associated with the distributed resource is preferably pre-programmed with one or more dispatching scenarios. Distributed resources include demand and supply side resources that can be deployed within a distribution and sub-transmission system. Demand side resources include demand side or load management or energy efficiency options while supply side resources include generation sources, including photovoltaics, reciprocating engines, micro turbines, fuel cells, etc.

Claims

1. A control system for a power system, comprising:

a plurality of distributed resources that generate power;

a plurality of intelligent components, each intelligent component associated with one of the plurality of distributed resources to provide control to the distributed resource;

a central controller coupled to the distributed resources via a communications network to provide control to the distributed resources; and

a priority manager that determines a priority of control for the plurality of intelligent components and the central controller.

2. The control system of claim 1, wherein the priority manager comprises a set of rules to determine the priority of control of each distributed resource between the associated intelligent component and the central controller.

3. The control system of claim 1, wherein each intelligent component and the central controller comprises at least one dispatching scheme.

4. The control system of claim 3, wherein the dispatching scheme comprises an operating status of at least one distributed resource.

5. The control system of claim 3, wherein the dispatching scheme comprises a level of operational capacity of at least one distributed resource.

6. The control system of claim 3, wherein the dispatching scheme is adjustable responsive to predetermined criteria.

7. The control system of claim 1, wherein each distributed resource is controllable responsive to at least one dispatching scheme.

8. The control system of claim 7, wherein each dispatching scheme is responsive to at least one of a peak shaving application, a voltage profile dispatch application, a reliability dispatch application, a thermal dispatch application, a site load following dispatch application, a local area dispatch application, and a resource scheduling application.

9. The control system of claim 1, wherein each intelligent component monitors the status of the power system and controls the associated distributed resource responsive to the status of the power system.

10. The control system of claim 1, wherein the central controller and the intelligent components are connected to a power distribution grid via the communications network.

11. The control system of claim 1, wherein each distributed resource produces power in the range between about 2 kilowatts and about 10 megawatts.

12. The control system of claim 1, wherein the central controller monitors the status of the power system and the operating state of the distributed resources and controls the distributed resources responsive to the status of the power system and the operating state of the distributed resources.

13. The control system of claim 1, wherein the priority of control provides an order in which the central controller and at least one of the intelligent components provide control to the distributed resources.

14. The control system of claim 1, wherein each distributed resource is controlled by a plurality of orders issued by the central controller and at least one of the intelligent components.

15. The control system of claim 1, wherein when the central controller is given priority by the priority manager, an order is transmitted as a control signal from the central controller to the distributed resource, and when one of the intelligent components is given priority by the priority manager, an order is transmitted as a control signal from the intelligent component to the distributed resource.

16. A method of controlling a power system comprising:

providing a plurality of distributed resources that generate power;

providing a plurality of intelligent components, each intelligent component associated with one of the plurality of distributed resources to provide control to the distributed resource;

coupling a central controller to the distributed resources via a communications network to provide control to the distributed resources; and

determining a priority of control for the plurality of intelligent components and the central controller.

17. The method of claim 16, wherein determining the priority of control comprises generating a set of rules to determine the priority of control of each distributed resource between the associated intelligent component and the central controller.

18. The method of claim 16, further comprising providing each intelligent component and the central controller with at least one dispatching scheme.

19. The method of claim 18, wherein the dispatching scheme comprises an operating status of at least one distributed resource.

20. The method of claim 18, wherein the dispatching scheme comprises a level of operational capacity of at least one distributed resource.

21. The method of claim 18, further comprising adjusting the dispatching scheme responsive to predetermined criteria.

22. The method of claim 16, further comprising controlling each distributed resource responsive to at least one dispatching scheme.

23. The method of claim 22, wherein each dispatching scheme is responsive to at least one of a peak shaving application, a voltage profile dispatch application, a reliability dispatch application, a thermal dispatch application, a site load following dispatch application, a local area dispatch application, and a resource scheduling application.

24. The method of claim 16, further comprising monitoring the status of the power system and controlling the associated distributed resource responsive to the status of the power system.

25. The method of claim 16, further comprising connecting the central controller and the intelligent components to a power distribution grid via the communications network.

26. The method of claim 16, further comprising producing power in the range between about 2 kilowatts and about 10 megawatts at each distributed resource.

27. The method of claim 16, further comprising monitoring the status of the power system and the operating state of the distributed resources at the central controller and controlling the distributed resources responsive to the status of the power system and the operating state of the distributed resources.

28. The method of claim 16, wherein determining the priority of control comprises providing an order in which the central controller and at least one of the intelligent components provide control to the distributed resources.

29. The method of claim 16, further comprising controlling each distributed resource by a plurality of orders issued by the central controller and at least one of the intelligent components.

30. The method of claim 16, further comprising:

when the central controller is given priority by the priority manager, transmitting an order as a control signal from the central controller to the distributed resource; and

when one of the intelligent components is given priority by the priority manager, transmitting an order as a control signal from the intelligent component to the distributed resource.