Electricity suppressing type electricity and heat optimizing control device, optimizing method, and optimizing program

• US 9,916,630 B2
• Filed: 03/07/2014
• Issued: 03/13/2018
• Est. Priority Date: 11/09/2012
• Status: Active Grant

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Saito, Masaaki, Murayama, Dai, Iino, Yutaka, Murai, Masahiko, Hisada, Nagako
• Primary Examiner(s): Karim, Ziaul
• Application Number:
  US14/201,382
• Publication Number:
  US 20140188295A1
• Time in Patent Office: 1,467 Days
• Field of Search: 700291
• 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 50/06 Energy or water supply
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 3/466 Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
• CPC Class Codes: H02J 7/35 with light sensitive cells
• 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: Y02P 80/10 Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
• CPC Class Codes: Y02P 90/50 Energy storage in industry with an added climate change mitigation effect
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

An optimized operating schedule is obtained while avoiding a complexity of formulation and optimization in response to an incentive type demand response. A device includes an energy predictor setting a predicted value of energy of a control-target device within a predetermined future period, a schedule optimizer optimizing the operating schedule of the control-target device within the predetermined period in accordance with a predetermined evaluation barometer, an incentive acceptance determiner determining a time with a possibility that an incentive is receivable, an electricity suppressing schedule optimizer optimizing, for a time with a possibility that the incentive is receivable, the operating schedule of the control-target device based on a unit price of electricity fee having a unit price for calculating the incentive taken into consideration, and an adopted schedule selector selecting either one of the operating schedules.

Claims

1. An electricity suppressing type electricity and heat optimizing control device comprising:

an energy predictor configured to set, for at least one of control-target devices which are an energy supplying device supplying energy, an energy consuming device consuming energy, and an energy storing device storing energy, a predicted value of consumed energy of the energy consuming device or of supplied energy of the energy supplying device within a predetermined future time period;

an incentive acceptance determiner configured to determine a time that an incentive is receivable by a reduction of electricity usage based on the predicted value, an electricity suppression target time that is a time prepared for applying an incentive to electricity suppression, and a base line that is a threshold for whether or not to apply the incentive;

an electricity suppressing schedule optimizer configured to plan the operating schedule of the control-target device within the predetermined future time period so as to minimize a predetermined evaluation barometer that is a required cost for an energy when the control-target device is activated based on the predicted value, a characteristic of the control-target device, and a unit price of an energy usage fee which is increased so as to reduce a possibility to be selected by adding an incentive unit price to the unit price of an energy usage fee at a time at which incentive is determined receivable;

a schedule optimizer configured to plan an operating schedule of the control-target device within the predetermined future time period so as to minimize the predetermined evaluation barometer based on the predicted value, the characteristic of the control-target device, and the unit price of an energy usage fee without the incentive;

an adopted schedule selector configured to select either the operating schedule planned by the electricity suppressing schedule optimizer or the operating schedule planned by the schedule optimizer based on the predetermined evaluation barometer or a selection instruction input externally; and

a rescheduling necessity determiner configured to determine whether or not it is necessary to optimize the operating schedule again based on the operating schedule, and operation data of the control-target device operated based on the operating schedule.

2. The electricity suppressing type electricity and heat optimizing control device according to claim 1, further comprising a control information outputter configured to output control information on the control-target device based on the operating schedule selected by the adopted schedule selector.

3. The electricity suppressing type electricity and heat optimizing control device according to claim 1, further comprising a preference order memory configured to store a preference order of a time at which the determination by the incentive acceptance determiner as to whether or not the incentive is receivable is preferably determined.

4. The electricity suppressing type electricity and heat optimizing control device according to claim 3, wherein with respect to the preference order, the larger the predicted value of energy predicted by the energy predictor is, the higher the preference order of the time is.

5. The electricity suppressing type electricity and heat optimizing control device according to claim 3, wherein with respect to the preference order, the smaller the predicted value of energy predicted by the energy predictor is, the higher the preference order of the time is.

6. The electricity suppressing type electricity and heat optimizing control device according to claim 3, further comprising a preference order inputter configured to input the preference order.

7. The electricity suppressing type electricity and heat optimizing control device according to claim 1, wherein:

the incentive acceptance determiner is configured to determine a time with a possibility that the incentive is receivable based on an upper limit that is the highest electricity amount from the usage electricity which permits a receipt of the incentive; and

the electricity suppressing schedule optimizer is configured to plan the operating schedule of the control-target device for a time at which the incentive is receivable based on the upper limit and a lower limit that is the lowest electricity amount from the usage electricity which permits a receipt of the incentive.

8. The electricity suppressing type electricity and heat optimizing control device according to claim 1, further comprising a schedule display configured to display the operating schedule optimized by the schedule optimizer, and the operating schedule optimized by the electricity suppressing schedule optimizer.

9. The electricity suppressing type electricity and heat optimizing control device according to claim 1, further comprising an instruction inputter configured to input an instruction for selecting either the operating schedule optimized by the schedule optimizer or the operating schedule optimized by the electricity suppressing schedule optimizer.

10. An electricity suppressing type electricity and heat storage optimizing method causing a computer or an electric circuit to execute:

an energy predicting process for setting, for at least one of control-target devices which are an energy supplying device supplying energy, an energy consuming device consuming energy, and an energy storing device storing energy, a predicted value of consumed energy of the energy consuming device or of supplied energy of the energy supplying device within a predetermined future time period;

an incentive acceptance determining process for determining a time that an incentive is receivable by a reduction of electricity usage based on the predicted value, an electricity suppression target time that is a time prepared for applying an incentive to electricity suppression, and a base line that is a threshold for whether or not to apply the incentive;

an electricity suppressing schedule optimizing process for planning the operating schedule of the control-target device within the predetermined future time period so as to minimize a predetermined evaluation barometer that is a required cost for an energy when the control-target device is activated based on the predicted value, a characteristic of the control-target device, and a unit price of an energy usage fee which is increased so as to reduce a possibility to be selected by adding an incentive unit price to the unit price of an energy usage fee at a time at which incentive is determined receivable;

a schedule optimizing process for planning an operating schedule of the control-target device within the predetermined future time period so as to minimize the predetermined evaluation barometer based on the predicted value, the characteristic of the control-target device, and the unit price of an energy usage fee without the incentive;

an adopted schedule selecting process for selecting either the operating schedule planned through the electricity suppressing schedule optimizing process or the operating schedule planned through the schedule optimizing process based on the predetermined evaluation barometer or a selection instruction input externally; and

a rescheduling necessity determining process for determining whether or not it is necessary to optimize the operating schedule again based on the operating schedule, and operation data of the control-target device operated based on the operating schedule.

11. A computer readable non-transitory recording medium having stored therein an optimizing program for an electricity suppressing type electricity and heat storage that causes a computer to execute:

an energy predicting process for setting, for at least one of control-target devices which are an energy supplying device supplying energy, an energy consuming device consuming energy, and an energy storing device storing energy, a predicted value of consumed energy of the energy consuming device or of supplied energy of the energy supplying device within a predetermined future time period;

an incentive acceptance determining process for determining a time that an incentive is receivable by a reduction of electricity usage based on the predicted value, an electricity suppression target time that is a time prepared for applying an incentive to electricity suppression, and a base line that is a threshold for whether or not to apply the incentive;

an electricity suppressing schedule optimizing process for planning the operating schedule of the control-target device within the predetermined future time period so as to minimize a predetermined evaluation barometer that is a required cost for an energy of when the control-target device is activated based on the predicted value, a characteristic of the control-target device, and a unit price of an energy usage fee which is increased so as to reduce a possibility to be selected by adding an incentive unit price to the unit price of an energy usage fee at a time at which incentive is determined receivable;

a schedule optimizing process for planning an operating schedule of the control-target device within the predetermined future time period so as to minimize the predetermined evaluation barometer based on the predicted value, the characteristic of the control-target device, and the unit price of an energy usage fee without the incentive;

an adopted schedule selecting process for selecting either the operating schedule planned through the electricity suppressing schedule optimizing process or the operating schedule planned through the schedule optimizing process based on the predetermined evaluation barometer or a selection instruction input externally; and

a rescheduling necessity determining process for determining whether or not it is necessary to optimize the operating schedule again based on the operating schedule, and operation data of the control-target device operated based on the operating schedule.