Method of dynamic economic dispatch

• US 7,321,810 B2
• Filed: 05/07/2004
• Issued: 01/22/2008
• Est. Priority Date: 05/13/2003
• Status: Expired due to Fees

• Current Assignee: Siemens AG
• Original Assignee: Siemens Power Transmission & Distribution Incorporated (Siemens AG)
• Inventors: Chen, Dingguo, Peljto, Haso, Mansingh, Ashmin, York, Mike
• Primary Examiner(s): Knight; Anthony
• Assistant Examiner(s): Chang; Sunray
• Application Number:
  US10/841,722
• Publication Number:
  US 20040257059A1
• Time in Patent Office: 1,355 Days
• Field of Search: 700286-291, 700/293, 703/2, 703/7, 703/12, 702 57- 60
• US Class Current: 700/286
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 3/00125 Transmission line or load transient problems, e.g. overvoltage, resonance or self-excitation of inductive loads H02J3/01 takes precedence
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• 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: 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 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

Certain exemplary embodiments provide a method comprising: for an electrical power system comprising a plurality of committed electrical power generating units: for each of the committed electrical power generating units, obtaining an optimal power output temporal trajectory, the optimal power output temporal trajectory constrained by a ramping limit of the committed electrical power generating unit; obtaining an optimal power reserve temporal trajectory for each of the committed electrical power generating units; and assigning each of the optimal power output temporal trajectories to the respective electrical power generating units so that, over a predetermined consecutive set of time intervals, an integrated cost of system power output is minimized and a system reserve requirement is met.

Claims

1. A method, comprising:

for an electrical power system comprising a plurality of committed electrical power generating units;

for each of the committed electrical power generating units, determining an optimal power output temporal trajectory, the optimal power output temporal trajectory constrained by a ramping limit of the committed electrical power generating unit, wherein determining the optimal power output temporal trajectory for each of the committed electrical power generating units comprises calculating ramping constraints according to a Lagrange relationship;

2. The method of claim 1, further comprising:

obtaining an identity of each of the committed electrical power generating units.

3. The method of claim 1, further comprising:

obtaining a commitment status of each of the committed electrical power generating units.

4. The method of claim 1, further comprising:

determining the consecutive set of time intervals.

5. The method of claim 1, further comprising:

obtaining the predetermined consecutive set of time intervals.

6. The method of claim 1, further comprising:

obtaining a predicted system load profile for the predetermined consecutive set of time intervals.

7. The method of claim 1, further comprising:

obtaining a predicted system load profile for the predetermined consecutive set of time intervals from a Very Short Term Load Predictor.

8. The method of claim 1, further comprising:

obtaining the integrated cost of system power output.

9. The method of claim 1, further comprising:

obtaining the system reserve requirement.

10. The method of claim 1, further comprising:

obtaining an optimal electrical generation output temporal trajectory for each committed electrical power generating unit.

11. The method of claim 1, further comprising:

obtaining an ACE.

12. The method of claim 1, further comprising:

regulating an ACE to within a predetermined range around zero.

13. The method of claim 1, further comprising:

minimizing a count of unit reversals.

14. The method of claim 1, further comprising:

enabling a predetermined operating constraint.

15. The method of claim 1, further comprising:

disabling a predetermined operating constraint.

16. The method of claim 1, further comprising:

providing the optimal power output temporal trajectoriess to an LFC application.

17. The method of claim 1, wherein the optimal power output temporal trajectories are optimal via a hierarchical nonlinear optimization technique.

18. The method of claim 1, wherein the optimal power output temporal trajectories are optimal via a Lagrange Multiplier approach.

19. The method of claim 1, wherein the optimal power output temporal trajectories are optimal via a Dantzig-Wolfe based optimization approach.

20. The method of claim 1, wherein the optimal power output temporal trajectories are constrained by a system power balance.

21. The method of claim 1, wherein the optimal power output temporal trajectories are constrained by a system spinning reserve requirement.

22. The method of claim 1, wherein the optimal power output temporal trajectories are constrained by generation limits of the committed electrical power generating units.

23. The method of claim 1, wherein the optimal power output temporal trajectories are constrained by power flow thermal limits of system transmission lines.

24. The method of claim 1, wherein the optimal power output temporal trajectories are constrained by system power output limits.

25. The method of claim 1, wherein the optimal power output temporal trajectories are constrained by ramp rate limits of the committed electrical power generating units for the predetermined consecutive set of time intervals.

26. The method of claim 1, wherein the optimal power output temporal trajectories are constrained by a ramping constraint for the committed electrical power generating units for the predetermined consecutive set of time intervals.

27. A computer readable medium having computer readable instructions embedded therein, which, when executed by a computer, cause the computer to implement a method comprising:

for an electrical system comprising a plurality of committed electrical power generating units;

calculating a power output value for each of the committed electrical power generating units responsive to ramping limits of the committed electrical power generating units, wherein calculating the power output value for each of the committed electrical power generating units comprises calculating ramping constraints according to a Lagrange relationship;

28. A system comprising:

for an electrical system comprising a plurality of committed electrical power generating units;

a power output processor adapted to calculate a power output value for each of the committed electrical power generating units responsive to ramping limits of the committed electrical power generating units, wherein calculating the power output value for each of the committed electrical power generating units comprises calculating ramping constraints according to a Lagrange relationship;