Device and method for scheduling power storage devices

• US 10,095,195 B2
• Filed: 02/22/2013
• Issued: 10/09/2018
• Est. Priority Date: 02/23/2012
• Status: Active Grant

• Current Assignee: Korea Electric Power Corporation (Government of South Korea)
• Original Assignee: Korea Electric Power Corporation (Government of South Korea)
• Inventors: Chang, Byung-Hoon, Ha, Yong-Gu, Hong, Kwang-Hee, Jeon, Woong-Jae, Jeong, Kyu-Won
• Primary Examiner(s): TECKLU, ISAAC TUKU
• Application Number:
  US14/380,675
• Publication Number:
  US 20150032276A1
• Time in Patent Office: 2,055 Days
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 7/34 Parallel operation in networks using both storage and other dc sources, e.g. providing buffering H02J7/14 takes precedence

Abstract

Provided are a device and a method for scheduling power storage devices, wherein a plurality of power storage device can be efficiently managed in an integrated manner by distributing appropriate charging and discharging schedules to each power storage device. The provided device for scheduling power storage devices comprises: an input unit for receiving integrated schedule information, characteristic information, and state information of the power storage devices; a scheduling unit for generating schedule information of the power storage devices on the basis of the received integrated schedule information, characteristic information, and state information; and an output unit for outputting the generated schedule information to the power storage devices.

Claims

1. An apparatus for scheduling energy storage systems (ESSs), comprising:

an input unit configured to receive integrated schedule information, characteristic information and state information of the ESSs;

a scheduling unit configured to generate schedule information of the ESSs, including at least one of charging schedule information and discharging schedule information, based on the received integrated schedule information, characteristic information and state information, wherein the scheduling unit is configured to generate at least one of the charging schedule information and the discharging schedule information of the ESSs based on a difference between load prediction data and new regeneration energy generation prediction data; and

an output unit configured to output the generated schedule information to the ESSs, wherein the ESSs perform charging and discharging according to the schedule information obtained from the output unit, and wherein the scheduling unit calculates target scheduling regions based on the integrated schedule information, and calculates matrix schedule information by arranging the ESSs based on time intervals in the target scheduling regions.

2. The apparatus of claim 1, wherein:

the input unit further receives the load prediction data and the new regeneration energy generation prediction data; and

the scheduling unit calculates a scheduled discharging region in a highest region P_load,Max of a curve data generated using the difference between the load prediction data and the new regeneration energy generation prediction data, and generates a scheduled discharging value Σ

(P_Dk, T_Dk), including an amount of power to be discharged and a discharging time in the scheduled discharging region, as discharge schedule information.

3. The apparatus of claim 2, wherein the scheduling unit stops a P_D scan at a point at which a sum of values obtained by multiplying an amount of power to be discharged and a discharging time in an identical section becomes equal to a value obtained by subtracting an amount of battery power W_ED based on an economical DOD from an SOC W_SOC of each ESS, and calculates the scheduled discharging region.

4. The apparatus of claim 3, wherein the scheduling unit calculates the amount of power P_Dk to be discharged and discharging time T_Dk based on a value obtained by subtracting an amount of power P_{D_SCAN} in the scheduled discharging region from a difference P_load between the load prediction data and the new regeneration energy generation prediction data in an identical time region.

5. The apparatus of claim 1, wherein:

the input unit further receives the load prediction data and the new regeneration energy generation prediction data; and

the scheduling unit calculates a scheduled charging region in a lowest region P_load,Min of a curve data generated using the difference between the load prediction data and the new regeneration energy generation prediction data, and generates a scheduled charging value Σ

(P_Ck, T_Ck), including an amount of power to be charged and a charging time in the scheduled charging region, as charging schedule information.

6. The apparatus of claim 5, wherein the scheduling unit stops P_C scan at a point at which a sum of values obtained by multiplying an amount of power to be charged and a charging time in an identical section becomes equal to a DOD capacity W_DOD of the ESS, and calculates the scheduled charging region.

7. The apparatus of claim 6, wherein the scheduling unit calculates the amount of power P_Ck to be charged and a charging time T_Ck based on a value obtained by subtracting the difference P_load between the load prediction data and the new regeneration energy generation prediction data in an identical time region from an amount of power P_{C_SCAN} in the scheduled charging region.

8. The apparatus of claim 1, wherein the scheduling unit arranges the ESSs based on the characteristic information and the state information.

9. The apparatus of claim 1, wherein the scheduling unit calculates the matrix schedule information by multiplying matrix ESS information, which forms the target scheduling regions, and matrix time information based on the time intervals.

10. A method of scheduling energy storage systems (ESSs), comprising:

receiving, by an input unit, integrated schedule information, characteristic information, and state information of the ESSs;

generating, by a scheduling unit, schedule information of the ESSs based on the received integrated schedule information, characteristic information and state information, wherein the scheduling unit is configured to generate at least one of charging schedule information and discharging schedule information of the ESSs based on a difference between load prediction data and new regeneration energy generation prediction data; and

outputting, by an output unit, the generated schedule information to the ESSs, wherein the ESSs perform charging and discharging according to the schedule information, wherein generating schedule information comprises;

calculating, by the scheduling unit, at least one of an amount of power to be charged and a total amount of power to be discharged based on time intervals based on the integrated schedule information, and calculating, by the scheduling unit, the target scheduled charging region; and

calculating, by the scheduling unit, at least one of target scheduled charging regions and target scheduled discharging regions based on at least one of the calculated amount of power to be charged and the calculated total amount of power to be discharged; and

calculating, by the scheduling unit, matrix schedule information, including at least one of scheduled charging information and scheduled discharging information, by arranging the ESSs according to the time intervals in at least one of the target scheduled charging regions and the target scheduled discharging regions.

11. The method of claim 10, wherein:

receiving the integrated schedule information, the characteristic information and the state information of the ESSs comprises further receiving, by the input unit, the load prediction data and the new regeneration energy generation prediction data; and

generating schedule information comprises;

generating, by the scheduling unit, a curve data using the difference between the load prediction data and the new regeneration energy generation prediction data;

calculating, by the scheduling unit, a scheduled discharging region in a highest region P_load,Max; and

generating, by the scheduling unit, a scheduled discharging value Σ

(P_Dk, T_Dk), including an amount of power to be discharged and a discharging time in the scheduled discharging region, as discharge schedule information.

12. The method of claim 11, wherein calculating a scheduled discharging region comprises:

stopping, by the scheduling unit, a P_D scan at a point at which a sum of values obtained by multiplying an amount of power to be discharged and a discharging time in an identical section becomes equal to a value obtained by subtracting an amount of battery power W_ED based on an economical DOD from an SOC W_SOC of each ESS; and

calculating the scheduled discharging region.

13. The method of claim 12, wherein calculating a scheduled discharging region comprises calculating, by the scheduling unit, the amount of power P_Dk to be discharged and discharging time T_Dk based on a value obtained by subtracting an amount of power P_{D_SCAN} in the scheduled discharging region from the difference P_load between the load prediction data and the new regeneration energy generation prediction data in an identical time region.

14. The method of claim 10, wherein:

receiving the integrated schedule information, the characteristic information and the state information of the ESSs comprises further receiving, by the input unit, the load prediction data and the new regeneration energy generation prediction data; and

generating schedule information comprises;

generating, by the scheduling unit, a curve data using the difference between the load prediction data and the new regeneration energy generation prediction data;

calculating, by the scheduling unit, a scheduled charging region in a lowest region P_load,Min; and

generating, by the scheduling unit, a scheduled charging value Σ

(P_Ck, T_Ck), including an amount of power to be charged and a charging time in the scheduled charging region, as charging schedule information.

15. The method of claim 14, wherein calculating a scheduled charging region comprises:

stopping, by the scheduling unit, a P_C scan at a point at which a sum of values obtained by multiplying an amount of power to be charged and a charging time in an identical section becomes equal to a DOD capacity W_DOD of the ESS; and

calculating the scheduled charging region.

16. The method of claim 15, wherein calculating a scheduled charging region comprises calculating, by the scheduling unit, an amount of power P_Ck to be charged and the charging time T_Ck based on a value obtained by subtracting the difference P_load between the load prediction data and the new regeneration energy generation prediction data in an identical time region from an amount of power P_{C_SCAN} in the scheduled charging region.

17. The method of claim 10, wherein calculating the matrix schedule information comprises arranging, by the scheduling unit, the ESSs based on the characteristic information and the state information.

18. The method of claim 10, wherein calculating the matrix schedule information comprises:

calculating, by the scheduling unit, the matrix charging schedule information by multiplying matrix ESS information, which forms the target scheduling regions, and matrix time information based on the time intervals;

or

calculating, by the scheduling unit, the matrix discharging schedule information by multiplying matrix ESS information, which forms the target discharge scheduling regions, and matrix discharge time information based on the time intervals.