METHOD, SYSTEM AND APPARATUS FOR LOAD SHAVING OF A POWER GRID AND A TANGIBLE COMPUTER READABLE MEDIUM

• US 20140074304A1
• Filed: 03/01/2013
• Published: 03/13/2014
• Est. Priority Date: 09/13/2012
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Wang, Yufei, Hou, Fang, Zhou, Qin, Yang, Zhihui, Huang, Yuteng
• Granted Patent: US 9,424,613 B2
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G05F 5/00 Systems for regulating electric variables by detecting deviations in the electric input to the system and thereby controlling a device within the system to obtain a regulated output
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2310/60 Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/144 Demand-response operation of the power transmission or distribution network
• 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
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

The present disclosure provides a system, method and apparatus for load shaving of a power grid, and a tangible computer readable medium. The system may comprise at least one processor; and at least one memory storing computer executable instructions. The at least one memory and computer executable instructions may be configured to, with the at least one processor, cause the system to profile behavior data for power customers to divide the power customers into at least one group; define, based on usage characteristic of each of the at least one group, a possible load shaving strategy for each of the at least one group; and perform load shaving analysis at least under constraint of the possible load shaving strategy for each of the at least one group, to provide a recommended load shaving strategy for each of the power customers.

Claims

1. A system for load shaving of a power grid, comprising:

at least one memory storing computer executable instructions;

at least one processor configured to be in communication with the memory; and

wherein the at least one processor executes the computer executable instructions, causing the system to;

profile behavior data for power customers by dividing the power customers into at least one group;

define, based on usage characteristic of each of the at least one group, a possible load shaving strategy for each of the at least one group; and

perform load shaving analysis for each of the at least one group based on the defined possible load shaving strategy, to provide a recommended load shaving strategy for each of the power customers.

2. The system of claim 1, wherein executing the computer executable instructions causes the system to profile behavior data for the power customers by:

analyzing the behavior data for the power customers to obtain customer load profiles and representative load curves; and

dividing the power customers into at least one group based on the customer load profiles and the representative load curves.

3. The system of claim 1, wherein the behavior data for power customers comprise time series data.

4. The system of claim 3, wherein the time series data comprise one or more of load curves and energy consumption amount during each time interval.

5. The system of claim 1, wherein the customers are large customers.

6. The system of claim 1, wherein the possible load shaving strategy for each of the at least one group comprises at least one of load shifting, load clipping, load shifting and load clipping;

and

wherein the possible load shaving strategy for each of the at least one group does not involve load shaving.

7. The system of claim 1, wherein executing the computer executable instructions causes the system to define the possible load shaving strategy by:

determining a peak-valley ratio for each of the at least one group;

determining a correlation coefficient between a load curve for each of the at least one group and a system load curve; and

determining the possible load shaving strategy for each of the at least one group based on at least the peak-valley ratio and the correlation coefficient.

8. The system of claim 1, wherein executing the computer executable instructions causes the system to define the possible load shaving strategy by:

determining the possible load shaving strategy as load clipping if the correlation coefficient is more than or equal to a predefined value and the peak-valley ratio is lower than a first predefined threshold;

determining the possible load shaving strategy as both load clipping and load shifting if the correlation coefficient is more than or equal to the predefined value and the peak-valley ratio is higher than or equal to the first predefined threshold;

determining the possible load shaving strategy as not involving load shaving if the correlation coefficient is less than the predefined value and the peak-valley ratio is higher than a second predefined threshold; and

determining the possible load shaving strategy as load clipping if the correlation coefficient is less than the predefined value and the peak-valley ratio is lower than or equal to the second predefined threshold.

9. The system of claim 8, wherein the system is further configured to:

check supply priority of the power customers; and

determine the possible load shaving strategy as not involving the load shaving if the supply priority of a customer is high or it is a public service customer.

10. The system of claim 1, wherein executing the computer executable instructions causes the system to perform the load shaving analysis by:

performing the load shaving analysis under the constraint of the possible load shaving strategy for each of the at least one group with one or more objectives of an economic operation, a supply reliability and a customer satisfaction.

11. The system of claim 10, wherein a cost of the economic operation is represented as

12. The system of claim 10, wherein a cost of the supply reliability is represented as

13. The system of claim 10, wherein a cost of the customer satisfaction objective is represented as

14. The system of claim 10, wherein the load shaving analysis is further constrained to one or more of:

a customer enrolling in only one load shaving strategy;

loads to be clipped at a time interval not exceeding a maximum load change rate;

loads to be shifted being equal to the difference between load values after shifting and before shifting;

loads after optimization being between a minimum load and a maximum load;

daily power consumption for each customer participating in load clipping could not increase;

load of peak period for the whole power system could not be increased and load of valley period could not be decreased; and

increased load amount at each time interval for the system load should be less than the spinning reserve of the whole system that could afford.

15. A method of load shaving of a power grid, the method comprising:

profiling, using a processor, behavior data for power customers to divide the power customers into at least one group;

defining, using a processor, based on the usage characteristic of each of the at least one group, a possible load shaving strategy for each of the at least one group; and

performing, using a processor, load shaving analysis at least for each of the at least one group based on the defined possible load shaving strategy, to provide a recommended load shaving strategy for each of the power customers.

16. The method of claim 15, wherein profiling the behavior data for power customers to divide the power customers into at least one group comprises:

analyzing the behavior data for the power customers to obtain customer load profiles and representative load curves; and

dividing the power customers into at least one group based on the customer load profiles and the representative load curves.

17. The method of claim 15, wherein the behavior data for power customers comprise time series data.

18. The method of claim 17, wherein the time series data comprise one or more of load curves and energy consumption amount during each time interval.

19. The method of claim 15, wherein the customers are large customers.

20. The method of claim 15, wherein the possible load shaving strategy for each of the at least one group comprises at least one of:

load shifting;

load clipping;

load shifting and load clipping; and

not involving load shaving.

21. The method of claim 15, wherein defining the possible load shaving strategy for each of the at least one group comprises:

determining a peak-valley ratio for each of the at least one group;

determining a correlation coefficient between a load curve for each of the at least one group and a system load curve; and

determining the possible load shaving strategy for each of the at least one group based on at least the peak-valley ratio and the correlation coefficient.

22. The method of claim 15, wherein determining the possible load shaving strategy for each of the at least one group comprises:

determining the possible load shaving strategy as load clipping if the correlation coefficient is more than or equal to a predefined value and the peak-valley ratio is lower than a first predefined threshold;

determining the possible load shaving strategy as both load clipping and load shifting if the correlation coefficient is more than or equal to the predefined value and the peak-valley ratio is higher than or equal to the first predefined threshold;

determining the possible load shaving strategy as not involving load shaving if the correlation coefficient is less than the predefined value and the peak-valley ratio is higher than a second predefined threshold; and

determining the possible load shaving strategy as load clipping if the correlation coefficient is less than the predefined value and the peak-valley ratio is lower than or equal to the second predefined threshold.

23. The method of claim 22, further comprising:

checking supply priority of the power customers; and

determining the possible load shaving strategy as not involving the load shaving if the supply priority of a customer is high or it is a public service customer.

24. The method of claim 15, wherein performing the load shaving analysis comprises:

performing the load shaving analysis under the constraint of the possible load shaving strategy for each of the at least one group with one or more objectives of an economic operation, a supply reliability and a customer satisfaction.

25. The method of claim 24, wherein a cost of the economic operation is represented as

26. The method of claim 24, wherein a cost of the supply reliability is represented as

27. The method of claim 24, wherein a cost of the customer satisfaction is represented as

28. The method of claim 24, wherein the load shaving analysis is comprised of one or more of:

a customer enrolling in only one load shaving strategy;

loads to be clipped at a time interval not exceeding a maximum load change rate;

loads to be shifted being equal to the difference between load values after shifting and before shifting; and

loads after optimization being between a minimum load and a maximum load;

daily power consumption for each customer participating in load clipping could not increase;

load of peak period for the whole power system could not be increased and load of valley period could not be decreased; and

increased load amount at each time interval for the system load should be less than the spinning reserve of the whole system that could afford.

30. A tangible computer-readable medium storing a plurality of instructions executable by a processor to manage a load of a power grid, wherein a processor is configured to execute the instructions to perform the steps of the method of claim 15.

29. An apparatus for load shaving of a power grid, the apparatus comprising:

means for profiling behavior data for power customers to divide the power customers into at least one group;

means for defining, based on the usage characteristic of each of the at least one group, a possible load shaving strategy for each of the at least one group; and

means for performing load shaving analysis at least under constraint of the possible load shaving strategy for each of the at least one group, to provide a recommended load shaving strategy for each of the power customers.