Method for the overall optimization of the operation of distributed storage devices in an electrical power supply system having distributed generators and loads

• US 9,866,025 B2
• Filed: 07/31/2012
• Issued: 01/09/2018
• Est. Priority Date: 07/31/2012
• Status: Active Grant

• Current Assignee: Alelion Energy Systems AB
• Original Assignee: Caterva GmbH (Alelion Energy Systems AB)
• Inventors: Winter, Martin, Eger, Kolja, Gersch, Roland, Heuer, Joerg
• Primary Examiner(s): Shechtman, Sean
• Assistant Examiner(s): Foley, Shon
• Application Number:
  US14/416,573
• Publication Number:
  US 20160118796A1
• Time in Patent Office: 1,988 Days
• Field of Search: 700297
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 7/0013 acting upon several batteries simultaneously or sequentially H02J7/1423 takes precedence
• CPC Class Codes: Y04S 50/12 Billing, invoicing, buying or selling transactions or other related activities, e.g. cost or usage evaluation

Abstract

The invention substantially relates to a method, wherein operational control parameters and/or control limits, which are to be conveyed using communications technology, are determined on the operator side for each of the distributed storage devices in such a way that a specific cost function is minimal for all of the distributed storage devices on the basis of locally measured variables determined at the respective storage device and transmitted to the operator and on the basis of installation-dependent control limits stored locally in each case and which are also transmitted to the operator, and wherein the operational control parameters and/or control limits, which are to be conveyed using communications technology, are transmitted from the operator side to the corresponding distributed storage devices and implemented there. Consideration of the locally limited available energy and power and the boundary conditions resulting from serving multiple applications from one storage device hereby ensures power availability and, by way of example, an optimal overall service life of all distributed storage devices.

Claims

1. A method for overall optimization of the operation of distributed storage devices in an electrical power supply system having distributed loads, the method comprising:

operating the distributed storage devices according to operational control parameters and/or control limits (p_r);

wherein the operational control parameters and/or control limits (p_r), which are to be conveyed using communications technology, are determined on the operator side (O) for each of the distributed storage devices (S_i) in such a way that a specific cost function is minimal for all of the distributed storage devices as a whole on a basis of locally measured variables (p_l) determined at the respective storage device and transmitted to the operator,

wherein the operational control parameters and/or control limits (p_r), which are to be conveyed using communications technology, are transmitted from the operator side (O) to the corresponding distributed storage devices (S_i) and implemented,

wherein a service life of all of the distributed storage devices as a whole is determined in that;

a list comprising the distributed storage devices is ordered according to their individual remaining service times,

the storage devices having the shortest remaining service times in each case are successively removed from the list until the remaining capacity of all of the distributed storage devices as a whole or the maximum discharging/charging current of all of the distributed storage devices as a whole falls below a predefined threshold and

the service life of all of the distributed storage devices as a whole corresponds to the service life of the storage device removed last from the list.

2. The method as claimed in claim 1, wherein operational control parameters and/or control limits (p_r), which are to be conveyed using communications technology, are determined on the operator side (O) for each of the distributed storage devices (S_i) in such a way that internal installation-dependent control limits (p_f) transmitted to the operator are taken into account for the determination of the cost function.

3. The method as claimed in claim 1, wherein the cost function, which is to be minimized, corresponds to a service life, which is to be maximized, of all of the distributed storage devices (S_i) as a whole and wherein the service life is determined at least from usage histories (h_i([0,t])) of all distributed storage devices, and usage histories and storage device service life models for these storage devices.

4. The method as claimed in claim 2, wherein the cost function, which is to be minimized, corresponds to a service life, which is to be maximized, of all of the distributed storage devices (S_i) as a whole and wherein the service life is determined at least from usage histories (h_i([0,t])) of all distributed storage devices, and usage histories and storage device service life models for these storage devices.

5. The method as claimed in claim 3, wherein the remaining overall storage capacity (cap_h(t)) is determined from the respective usage histories (h_i([0,t])), and a usage histories and storage capacity model for the storage devices (S_i) and wherein the service life of all of the distributed storage devices (S_i) as a whole is attained if the remaining overall storage capacity (cap_h(t)) falls below a certain critical overall storage capacity.

6. The method as claimed in claim 5, wherein the usage histories (h_i([0,t])) comprise accumulated previous charging profiles, wherein these include the number of charging cycles of the storage device S_i that have occurred with a specific initial charging state, a specific end charging state and a specific charging current (CC) after a specific operating period (t).

7. The method as claimed in claim 6, wherein the remaining overall storage capacities (cap_i(t)) of the storage devices S_i are formed in that a percentage, which is obtained by weighted integration of the accumulated previous charging profiles over the range of all possible triples comprising initial charging states, end charging states and charging/discharging currents, is subtracted from 100%, wherein the weighting function (w) also depends on these triples and on the storage model for the storage device S_i.

8. The method as claimed in claim 3, wherein an increase in internal resistance (r_h(t)) is determined from the respective usage histories (h_i([0,t])), and a usage histories and increase in internal resistance model for the respective storage devices (S_i) and wherein the service life of all of the distributed storage devices (S_i) as a whole is attained if all of the distributed storage devices as a whole can no longer consume and/or generate a specific critical electrical power due to the increase in internal resistance.

9. The method as claimed in claim 1, wherein the operational control parameters and/or control limits (p_r), which are to be conveyed using communications technology, for a respective storage device (S_i) include at least one of the following:

a maximum charging/discharging current limit,

a maximum charging/discharging current limit to be employed for local applications minimum and/or maximum charging states for local applications,

a default value for a charging/discharging current, or

electrical power supply system service requirements.

10. The method as claimed in claim 1, wherein the measured variables (p_l(t)) locally determined at the storage device (S_i) include at least one measured value or time series for at least one of the following variables:

voltage frequency, voltage, spectra of the voltage and therewith the voltage frequency, locally generated current, locally consumed current, local charging state, local charging/discharging current, voltage and/or temperature.

11. The method as claimed in claim 2, wherein the internal installation-dependent control limits (p_f(t)) include at least one maximum charging/discharging current and/or maximum and/or minimum charging states.

12. The method as claimed in claim 3, wherein the service life of all of the distributed storage devices as a whole is determined in that the service life is ascertained at which the remaining capacity of all of the distributed storage devices as a whole or the maximum discharging/charging current of all of the distributed storage devices as a whole falls below a predefined threshold.

13. The method as claimed in claim 2, wherein the operational control parameters and/or control limits (p_r(t)), which are to be conveyed using communications technology, are determined with the aid of a combination of a short-term consideration and a long-term consideration, wherein the short-term consideration includes a variation in the future short-term charge status curve of each storage device S_i while taking into account boundary conditions, which are determined by prognoses on the basis of locally measured variables and additional predictions or by using suitable functions of time, and the long-term consideration is made on the basis of statistical evaluations of earlier values for the operational control parameters and/or control limits (p_r(t)), which are to be conveyed, and/or the locally determined measured variables (p_l(t)) and/or the internal installation-dependent control limits (p_f(t)) and/or a difference between the current variation in the short-term consideration and a typical short-term consideration.

15. The method as claimed in claim 1, wherein the cost function, which is to be minimized, corresponds to a profit, which is to be maximized, in the form of a difference from incomes from all of the distributed storage devices for a remaining running time and the running costs of all of the distributed storage devices (S_i) for a remaining service life, wherein the running costs are calculated on the basis of investment costs for the distributed storage devices, and operating costs for the distributed storage devices.

16. The method as claimed in claim 15, wherein the incomes from all of the distributed storage devices are predicted.

17. A device for carrying out the method of claim 1, wherein there is an optimizer (OPT) on the operator side (O) in such a way that

for each of the distributed storage devices (S_i) operational control parameters and/or control limits (p_r), which are to be conveyed using communications technology, can be determined on the basis of the locally measured variables (p_l) determined at the respective storage devices by minimizing a specific cost function for all of the distributed storage devices and

the operational control parameters and/or control limits (p_r) can be transmitted from the operator side (O) to the corresponding distributed storage devices (S_i) and be implemented.

18. A device for carrying out the method of claim 1, wherein there is a storage control unit (SC_i) for a distributed storage device (S_i) in such a way that the locally measured variables (p_l) can be transmitted to the operator side (O) and the operational control parameters and/or control limits (p_r) can be received from the operator side (O) and can be implemented at the respective distributed storage device (S_i).

14. A method for overall optimization of the operation of distributed storage devices in an electrical power supply system having distributed loads, the method comprising:

operating the distributed storage devices according to operational control parameters and/or control limits (p_r);

wherein the operational control parameters and/or control limits (p_r), which are to be conveyed using communications technology, are determined on the operator side (O) for each of the distributed storage devices (S_i) in such a way that a specific cost function is minimal for all of the distributed storage devices as a whole on a basis of locally measured variables (p_l) determined at the respective storage device and transmitted to the operator,

wherein the operational control parameters and/or control limits (p_r), which are to be conveyed using communications technology, are transmitted from the operator side (O) to the corresponding distributed storage devices (S_i) and implemented,

wherein the cost function, which is to be minimized, corresponds to running costs, which are to be minimized, of all of the distributed storage devices (S_i) and these running costs are determined in that the running costs are calculated on the basis of investment costs for the distributed storage devices, operating costs for the distributed storage devices and a service life of all of the distributed storage devices as a whole,

wherein the investment costs for the distributed storage devices and the operating costs for the distributed storage devices are linearly transferred to a remaining service life (L−

t) of all of the distributed storage devices as a whole.