Method For Operating A Power Management Device, Power Management Device And Computer Program

• US 20170256908A1
• Filed: 09/03/2015
• Published: 09/07/2017
• Est. Priority Date: 09/08/2014
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Lehmann, Thomas, Reinschke, Johannes
• Application Number:
  US15/507,972
• Publication Number:
  US 20170256908A1
• Time in Patent Office: Days
• CPC Class Codes: G01J 3/10 Arrangements of light sources specially adapted for spectrometry or colorimetry
• CPC Class Codes: G01N 2021/399 Diode laser
• CPC Class Codes: G01N 2201/0612 Laser diodes
• CPC Class Codes: H01S 5/0064 Anti-reflection components, e.g. optical isolators
• CPC Class Codes: H01S 5/0085 for modulating the output, i.e. the laser beam is modulated outside the laser cavity
• CPC Class Codes: H01S 5/0427 for applying modulation to the laser
• CPC Class Codes: H01S 5/0656 Seeding, i.e. an additional light input is provided for controlling the laser modes, for example by back-reflecting light from an external optical component H01S5/14, H01S5/4062 and H01S5/4006 take precedence
• CPC Class Codes: H01S 5/1096 in a single cavity
• CPC Class Codes: H01S 5/4006 Injection locking
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• 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: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02P 80/10 Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving

Abstract

A method for operating a power management device for controlling an operating device connected to a power supply network, in which the maximum demanded and/or provided output of the controlled operating device is at least 3 kW, is disclosed. An information data set is received which describes coupling information or a temporal progression of coupling information from a server device associated with a network provider of a power supply network, the coupling information describing a relationship between a device load of the operating device and a target variable to be optimized. A load profile is determined which describes a predicted temporal progression of the device load by optimizing the load profile with respect to the target variable. The load profile is provided to the server device, and the power management device may control the operating device according to a default value which is predetermined based on the load profile.

Claims

1. A method for operating a power management device for controlling an operational facility connected to a power supply network, wherein the maximum power level demanded and/or supplied by the controlled operational facility is at least 3 kW, the method comprising:

a. receiving, from a server device which is associated with a network operator of a power supply network or with a power supplier, an information data set which that describes a coupling information item or a temporal variation of the coupling information, wherein the coupling information describes a relationship between a facility load caused by the operational facility and a target variable to be optimized during an optimizing interval, b. determining, by the power management device, a load profile which describes a predicted temporal variation of the facility load of the operational facility during the optimizing interval, by optimizing the load profile with respect to the target variable,

c. providing the load profile to the server device, and

d. controlling, by the power management device, the operational facility in the optimizing interval based on a specified value for the facility load pre-set by the load profile for a current operating time point.

2. The method of claim 1, wherein steps a) to c) are performed at a pre-set time spacing before the optimizing interval.

3. The method of claim 1, wherein steps a) to c) are performed at a plurality of temporally spaced time points before the optimizing interval.

4. The method of claim 1, wherein the operational facility is controlled by the power management device in the optimizing interval based on a difference value representing a difference between the specified value for the facility load pre-set by the load profile for the current operating time point and a current actual value of the facility load.

5. The method of claim 4, wherein the information data set includes a difference information item or a temporal variation of a difference information item, wherein the difference information item describes a relationship between the difference value and the target variable, wherein the operational facility is controlled based on the target variable.

6. The method of claim 1, wherein the power management device receives a load adjustment request from the server device, and adjusts he load profile based on the load adjustment request.

7. The method of claim 6, wherein the power management system, based on at least one operating parameter influencing the facility load of the operational facility and/or at least one property of the operational facility influencing the facility load of the operational facility, determines and transfers to the server device a tolerance profile defining a temporal variation of a tolerance region of the facility load in the optimizing interval, and

the load adjustment request is determined such that the adjusted load profile lies within the tolerance region defined by the tolerance profile.

8. The method of claim 7, wherein the information data set defines at least one tolerance information item or a temporal variation of the tolerance information, wherein the tolerance information describes a relationship between adjustments of the load profile based on possible load adjustment requests and the target variable, wherein the tolerance profile is determined based on the tolerance information item.

9. The method of claim 1, wherein the information data set defines a power maximum information item that describes a relationship between the target variable and the maximum of a power level in a pre-set time interval supplied and/or demanded by the operational facility, wherein the load profile and/or the control of the operational facility is determined based on the power maximum information item.

10. The method of claim 1, wherein the information data set includes a reactive power information item or a temporal variation of the reactive power information item,

wherein the reactive power information item defines a relationship between a reactive power level of the operational facility and the target variable during the optimizing interval,

wherein the load profile and/or the control of the operational facility is determined based on the reactive power information item.

11. The method of claim 1, comprising:

repeatedly acquiring, by the power management device, acquisition data concerning a facility load of the operational facility at least during the optimizing interval, and

providing the acquisition data to the server device.

12. The method of claim 1, comprising before step a), transferring a configuration data set from the server device to the power management device, and

adjusting, by the power management system the determination of the load profile and/or the determination of the tolerance profile and/or the control of the operational facility based on the configuration data set.

13. The method of claim 12, comprising pre-setting, based on the configuration data set, at least one time point of the provision of the load profile in relation to the optimizing interval and/or a length of the optimizing interval.

14. A power management device for controlling an operational facility connected to a power supply network, wherein the maximum power level demanded and/or supplied by the controlled operational facility is at least 3 kW, wherein said power management device is configured to:

receive, from a server device which is associated with a network operator of a power supply network or with a power supplier, an information data set that describes a coupling information item or a temporal variation of the coupling information wherein the coupling information describes a relationship between a facility load caused by the operational facility and a target variable to be optimized during an optimizing interval,

determine a load profile which describes a predicted temporal variation of the facility load of the operational facility during the optimizing interval, by optimizing the load profile with respect to the target variable,

provide the load profile to the server device, and

control the operational facility in the optimizing interval based on a specified value for the facility load pre-set by the load profile for a current operating time point.

15. A computer program for controlling an operational facility connected to a power supply network, wherein the maximum power level demanded and/or supplied by the controlled operational facility is at least 3 kW, wherein the computer program is stored in non-transitory computer-readably media and executable by a processor associated with the power management device to:

receive, from a server device which is associated with a network operator of a power supply network or with a power supplier, an information data set that describes a coupling information item or a temporal variation of the coupling information wherein the coupling information describes a relationship between a facility load caused by the operational facility and a target variable to be optimized during an optimizing interval,

determine a load profile which describes a predicted temporal variation of the facility load of the operational facility during the optimizing interval, by optimizing the load profile with respect to the target variable,

provide the load profile to the server device, and

control the operational facility in the optimizing interval based on a specified value for the facility load pre-set by the load profile for a current operating time point.