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JP-2026074724-A - Power management system, power management method, and computer program

JP2026074724AJP 2026074724 AJP2026074724 AJP 2026074724AJP-2026074724-A

Abstract

[Problem] To manage the power supply of a facility in accordance with the activation of specific equipment installed in that facility. [Solution] The system includes: a power consumption pattern information storage unit that stores power consumption pattern information showing the power consumption pattern after the startup of a specific piece of equipment; a first power consumption prediction unit that calculates a predicted value of a first power consumption consumed by the specific piece of equipment based on the power consumption pattern information; a second power consumption prediction unit that calculates a predicted value of a second power consumption other than the first power consumption consumed by the facility using a prediction model for the second power consumption; a detection unit that detects the startup of the specific piece of equipment; and a purchased power amount prediction unit that, when the startup of the specific piece of equipment is detected, calculates a predicted value of the amount of electricity purchased by the facility after a predetermined time based on the predicted value of the first power consumption and the predicted value of the second power consumption. [Selection Diagram] Figure 2

Inventors

  • 高野 晴子
  • 渡辺　則之

Assignees

  • 日揮ホールディングス株式会社

Dates

Publication Date
20260507
Application Date
20241021

Claims (15)

  1. A power management system for a facility equipped with specific equipment, A power consumption pattern information storage unit stores power consumption pattern information indicating the power consumption pattern after the start-up of the specified equipment, A first power consumption prediction unit calculates a predicted value of the first power consumption consumed by the specified equipment based on the power consumption pattern information, A second power consumption prediction unit calculates a predicted value of the second power consumption, other than the first power consumption, consumed by the facility, using a prediction model of the second power consumption that has been generated in advance by machine learning based on information about the surrounding environment of the facility and past actual values of the second power consumption. A detection unit for detecting the activation of the aforementioned specific equipment, When the activation of the specified equipment is detected, the purchased electricity amount prediction unit calculates a predicted value of the amount of electricity purchased by the facility after a predetermined time, based on the predicted value of the first power consumption obtained by the first power consumption prediction unit and the predicted value of the second power consumption obtained by the second power consumption prediction unit. A power management system equipped with the following features.
  2. The system further includes an operating status information acquisition unit that acquires operating status information indicating the operating status of the specified equipment after startup, The first power consumption prediction unit changes the predicted value of the first power consumption calculated based on the power consumption pattern information according to the operating status information. The power management system according to claim 1.
  3. The detection unit determines whether the specified equipment is started based on the measured values of a power meter installed in the specified equipment over a certain period of time. The power management system according to claim 1.
  4. The electricity purchase quantity prediction unit calculates a predicted value for the amount of electricity purchased based on the predicted value of the amount of renewable energy generation available to the facility, the predicted value of the first power consumption, and the predicted value of the second power consumption. The power management system according to claim 1.
  5. A power generation prediction unit calculates a predicted value of the amount of renewable energy power generation that can be used by the aforementioned facility. The power management system according to claim 4, further comprising:
  6. A battery charge acquisition unit that acquires the remaining charge of a battery that can be used to power the aforementioned facility, The predetermined forecast period is divided into units of time, Based on the predicted amount of electricity purchased, the planned value for the charge/discharge amount of the battery per unit time is calculated. A battery charge/discharge planning unit calculates a planned value for the remaining charge of the battery per unit time based on the planned value for the charge/discharge amount of the battery per unit time and the remaining charge of the battery. A power management system according to any one of claims 1 to 5, further comprising:
  7. The aforementioned battery charge/discharge planning unit, Determine whether or not there is a unit of time in which the predicted amount of electricity purchased exceeds a predetermined threshold amount of electricity purchased. For each unit of time in which the predicted amount of electricity purchased exceeds the electricity purchase threshold, a planned discharge value of the battery is calculated to cover the portion of the predicted amount of electricity purchased that exceeds the electricity purchase threshold. The power management system according to claim 6.
  8. The aforementioned battery charge/discharge planning unit, Determine whether there is a unit of time during which the predicted value of the purchased electricity is negative, resulting in a reverse power flow state. For each unit of time during which the reverse current state occurs, calculate the planned value of the amount of charge of the storage battery in the reverse current state. The power management system according to claim 6.
  9. The planned values for the charge/discharge amount of the battery per unit time and the planned value for the remaining battery charge per unit time are updated before the predetermined forecast period ends. The power management system according to claim 6.
  10. The planned values for the charge/discharge amount of the battery per unit time and the planned value for the remaining battery charge per unit time are updated when predetermined conditions are met. The power management system according to claim 6.
  11. The battery further comprises a charge/discharge control unit for controlling the charging and discharging of the battery, The charge/discharge control unit controls the charging and discharging of the battery with respect to a planned value of the remaining battery charge during a target unit time, which is the unit time for which the charging and discharging of the battery is controlled. The power management system according to claim 6.
  12. The facility further comprises a unit for acquiring the amount of electricity purchased from the aforementioned facility, The charge/discharge control unit, in the target unit time, Determine whether the amount of electricity purchased may exceed a predetermined threshold for the amount of electricity purchased. If it is determined that the amount of electricity purchased may exceed the threshold amount of electricity purchased, the required amount of discharge from the storage battery to cover the portion of the electricity purchased that is expected to exceed the threshold amount of electricity purchased is calculated. When the required discharge amount of the storage battery is less than or equal to the remaining battery capacity of the storage battery, the storage battery will be discharged to the required discharge amount. When the required discharge amount of the storage battery exceeds the remaining battery capacity of the storage battery, the storage battery will be discharged to the maximum dischargeable amount. If it is determined that the amount of electricity purchased will not exceed a predetermined threshold amount, the battery will be charged and discharged with the target remaining battery level of the battery as the target. The power management system according to claim 11.
  13. The facility further comprises a unit for acquiring the amount of electricity purchased from the aforementioned facility, The charge/discharge control unit, in the target unit time, Determine whether or not there is a possibility of a reverse power flow state where the amount of purchased electricity is a negative value. If it is determined that there is a possibility of reverse current flow, the required amount of charge for the battery to absorb the expected amount of reverse current is calculated, and if the required amount of charge for the battery is less than or equal to the available capacity of the battery, the battery is charged to the required amount, and if the required amount of charge for the battery exceeds the available capacity of the battery, the battery is charged to the amount that can be charged. If it is determined that there is no possibility of reverse current flow, the battery will be charged and discharged with a target value for the remaining battery charge. The power management system according to claim 11.
  14. A power management method implemented by a power management system of a facility equipped with specific equipment, A power consumption pattern information storage step involves storing power consumption pattern information indicating the power consumption pattern after the startup of the specified equipment in a power consumption pattern information storage unit. A first power consumption prediction step in which a predicted value of the first power consumption consumed by the specified equipment is calculated based on the power consumption pattern information, A second power consumption prediction step, which involves calculating a predicted value of the second power consumption other than the first power consumption consumed by the facility using a prediction model of the second power consumption that has been generated in advance by machine learning based on information about the surrounding environment of the facility and past actual values of the second power consumption, A detection step for detecting the activation of the aforementioned specific equipment, When the activation of the specified equipment is detected, the purchased electricity amount prediction step calculates a predicted value of the amount of electricity purchased by the facility after a predetermined time, based on the predicted value of the first power consumption obtained in the first power consumption prediction step and the predicted value of the second power consumption obtained in the second power consumption prediction step. Power management methods including
  15. On the computer, A power consumption pattern information storage step involves storing power consumption pattern information, which shows the power consumption pattern of a specific piece of equipment installed in a facility subject to power management, after startup, in a power consumption pattern information storage unit. A first power consumption prediction step in which a predicted value of the first power consumption consumed by the specified equipment is calculated based on the power consumption pattern information, A second power consumption prediction step, which involves calculating a predicted value of the second power consumption other than the first power consumption consumed by the facility using a prediction model of the second power consumption that has been generated in advance by machine learning based on information about the surrounding environment of the facility and past actual values of the second power consumption, A detection step for detecting the activation of the aforementioned specific equipment, When the activation of the specified equipment is detected, the purchased electricity amount prediction step calculates a predicted value of the amount of electricity purchased by the facility after a predetermined time, based on the predicted value of the first power consumption obtained in the first power consumption prediction step and the predicted value of the second power consumption obtained in the second power consumption prediction step. A computer program designed to execute something.

Description

This invention relates to a power management system, a power management method, and a computer program. Patent Document 1 describes an operation plan optimization device for minimizing the peak power consumption of a facility equipped with multiple power loads and one or more energy storage facilities. The operation plan optimization device described in Patent Document 1 determines the operation schedule of the power loads and the charge/discharge schedule of the energy storage facilities based on predicted power consumption data of the power loads. Patent No. 7176338 This figure shows a schematic configuration example of a power management system according to one embodiment.This figure shows a schematic configuration example of a control device according to one embodiment.This flowchart shows an example of the procedure for a power management method according to one embodiment.This flowchart shows an example of the procedure for a power management method according to one embodiment.This is an explanatory diagram of power consumption pattern information according to one embodiment.This is an explanatory diagram of the predicted values of the first power consumption and the second power consumption according to one embodiment.This figure shows an example of the configuration used when calculating charge/discharge plan information according to one embodiment.This flowchart shows an example of the procedure for a power management method according to one embodiment. The embodiments of the present invention will now be described with reference to the drawings. The embodiments described below are merely examples, and the embodiments to which the present invention is applied are not limited to the embodiments described below. In all the drawings used to describe the embodiments, components having the same function will be given the same reference numerals, and repeated explanations will be omitted. Furthermore, "based on XX" as used in this application means "based on at least XX," and includes cases where it is based on another element in addition to XX. Also, "based on XX" is not limited to cases where XX is used directly, but also includes cases where it is based on something that has been calculated or processed. "XX" is any element (for example, any information). Figure 1 is a diagram showing a schematic configuration example of a power management system 1 according to one embodiment. In this embodiment, a factory 500 is used as an example of a facility to be managed for power. Factory 500 includes an electric furnace 510 as an example of specific equipment that consumes power. Factory 500 may have one or more electric furnaces 510. Furthermore, factory 500 includes other equipment that consumes power (non-specific equipment), such as air conditioning equipment 520-1, lighting equipment 520-2, electrical equipment 520-3, and electronic equipment 520-4. Hereinafter, non-specific equipment such as air conditioning equipment 520-1, lighting equipment 520-2, electrical equipment 520-3, and electronic equipment 520-4 will be referred to as non-specific equipment 520 unless specifically distinguished. Furthermore, factory 500 is equipped with a battery BT. The battery BT is a power source available for the factory 500's power consumption. The battery BT can supply power to the electric furnace 510 and the unspecified equipment 520. Factory 500 is supplied with the electricity POWa and POWb used by Factory 500. Electricity POW refers to the electricity purchased from the power grid. Hereafter, Electricity POW will be referred to as Purchased Electricity POW. The electricity bill for Purchased Electricity POW is primarily determined by the amount of electricity purchased per month and the basic charge. The basic charge is determined by the contracted power, which is determined by the highest value of the maximum power consumption for each month over the past year. The maximum power consumption for a given month is the highest value of the average power consumption every 30 minutes during that month. Therefore, it is preferable to manage the power consumption of Factory 500 in a way that minimizes the maximum value of the average power consumption every 30 minutes in order to reduce the electricity bill for Purchased Electricity POW. Power POWb is electricity generated for Factory 500 using renewable energy. Hereafter, Power POWb will be referred to as "Proprietary Power POWb." Proprietary Power POWb is generated using variable renewable energy (VRE), such as solar and wind power, whose output is affected by weather conditions. Therefore, Proprietary Power POWb may be affected by weather conditions. In Figure 1, the power management system 1 comprises a management device 10 and a terminal device 20. The management device 10 and the terminal device 20 are connected via communication. For example, the management device 10 and the terminal device 20 may be connected via a communication line or a communication cable. The