System and Method for Predictive Peak Load Management via Integrated Load Management

• US 20140094979A1
• Filed: 09/28/2012
• Published: 04/03/2014
• Est. Priority Date: 09/28/2012
• Status: Active Grant

• Current Assignee: NantEnergy, Inc.
• Original Assignee: Sharp Kabushiki Kaisha (Hon Hai Precision Industry Co., Ltd.)
• Inventors: Mansfield, Carl
• Granted Patent: US 9,002,531 B2
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• 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 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/381 Dispersed generators
• 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 70/30 Systems combining energy storage with energy generation of non-fossil origin
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving

Abstract

Devices, methods, and systems for predictive peak load management via integrated load management comprising the steps of: determining a target peak load based on a capacity of an energy storage device and a value of a load management capacity of a set of one or more manageable load assets, determining for each period of a defined time period, an expected peak load based on the determined target peak load, engaging the energy storage device, wherein the energy storage device is engaged based on an energy supply level of the energy storage device and the expected peak load, and performing load management on the set of one or more manageable load assets based on the engaged energy storage device and the determined target peak load.

Claims

1. A peak load management system at a local site, comprising:

a battery system configured to store energy and discharge the stored energy when actual load exceeds a target peak load;

one or more managed loads configured to reduce energy consumption when needed to meet the target peak load; and

a peak load management processor operatively coupled with the battery system and the one or more managed loads, wherein the processor is configured to;

determine a predicted peak load based on previously collected historical load data of the local site, wherein the predicted peak load is associated with a worst case day having highest energy consumption;

measure, on a continual basis, actual load data, wherein the actual load data comprises;

energy consumption information by a set of one or more energy consuming devices and on-site renewable energy generation devices;

predict if operation of the battery system achieves the target peak load based on a reduction of the predicted peak load to the target peak load by discharging the battery system; and

reduce the energy consumption of the one or more managed loads to achieve the target peak load based on the predicted operation of the battery system, wherein the energy consumption of the one or more managed loads is reduced in conjunction with discharge of energy from the battery system to maintain the target peak load.

2. The system of claim 1 wherein the peak load management is further configured to:

calculate a target peak load based at least in part on;

past actual load;

energy storage and power capability of battery system; and

estimated reduced energy consumption achievable by dispatching managed loads.

5. The system of claim 1 wherein reduction of the energy consumption of the one or more managed loads is invoked if energy supply level of the battery system is predicted to reach zero while attempting to meet the target peak load.

6. The system of claim 5 wherein the degree of energy consumption reduction invoked is determined from a predicted peak load, based at least in part on past actual load.

7. The system of claim 5 wherein the energy consumption is reduced if the actual load is greater than the target peak load.

8. The system of claim 1 wherein the system is configured to periodically predict if the battery system can achieve target peak load at currently dispatched levels of load management, and additional load management resources are dispatched as needed based on this prediction.

9. The system of claim 1 wherein the target peak load is further based on a peak demand energy usage of a real property.

10. The system of claim 1 wherein load comprises electricity load.

21. The system of claim 1 wherein the peak load management is further configured to:

reduce the energy consumption of the one or more managed loads via partial control of the one or more managed loads.

22. The system of claim 1 wherein the target peak load is for a specified billing period and based on a hysteresis effect to the system.

23. The system of claim 22 wherein the hysteresis effect is associated with a current environment of the peak load management system and a past environment of the peak load management system at the local site.

24. The system of claim 23 wherein the current environment of the peak load management system and the past environment of the peak load management system each comprise:

worst case day resulting peak load, available battery system capacity, and power rating.

3-4. -4. (canceled)

11. A method comprising:

predicting, by a peak load management processor operatively coupled with a battery system and one or more managed loads, if operation of the battery system achieves a target peak load based on a reduction of the predicted peak load to the target peak load by discharging the battery system;

determining, by a peak load management processor, a predicted peak load based on previously collected historical load data of a local site, wherein the predicted peak load is associated with a worst case day having highest energy consumption; and

reducing the energy consumption of the one or more managed loads to achieve the target peak load, wherein the energy consumption of the one or more managed loads is reduced in conjunction with discharging energy from the battery system to maintain the target peak load; and

wherein the battery system is configured to store energy and discharge stored energy when actual load exceeds a target peak load.

14. The method of claim 11 wherein reducing energy consumption of the one or more managed loads is invoked if energy supply level of the battery system is predicted to reach zero while attempting to meet target peak load.

15. The method of claim 14 wherein the degree of energy consumption reduction invoked is determined from a predicted peak load, based at least in part on past actual load.

17. The method of claim 11 wherein the peak load management processor periodically predicts if the battery system can achieve target peak load at currently dispatched levels of load management, and additional load management resources are dispatched as needed based on this prediction.

18. The method of claim 11 wherein the target peak load is further based on a peak demand energy usage of a real property.

19. The method of claim 11 further comprising:

calculating a target peak load based at least in part on;

past actual load;

energy storage and power capability of the battery system; and

estimated reduced energy consumption achievable by dispatching managed loads.

20. The method of claim 11 wherein load comprises electricity load.

12-13. -13. (canceled)