Electric/thermal energy storage schedule optimizing device, optimizing method and optimizing program

• US 10,042,332 B2
• Filed: 01/10/2013
• Issued: 08/07/2018
• Est. Priority Date: 02/27/2012
• Status: Active Grant

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Saito, Masaaki, Murayama, Dai, Mitsumoto, Kenji, Takagi, Yasuo, Iino, Yutaka
• Primary Examiner(s): Lee, Thomas
• Assistant Examiner(s): Wang, Zhipeng
• Application Number:
  US13/822,783
• Publication Number:
  US 20140094980A1
• Time in Patent Office: 2,035 Days
• Field of Search: 700291
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 2005/0067 with photovoltaic panels
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: G05D 23/1923 using thermal energy, the cost of which varies in function of time
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: H02J 3/28 Arrangements for balancing of the load in a network by storage of energy
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• 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 20/14 Combined heat and power generation [CHP]
• CPC Class Codes: Y02E 70/30 Systems combining energy storage with energy generation of non-fossil origin
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/244 the home appliances being or involving heating ventilating and air conditioning [HVAC] units

Abstract

An electric/thermal energy storage schedule optimizing device is provided. The electric/thermal energy storage schedule optimizing device includes a predicting unit setting predicted values of a consumed energy or a supplying energy of a plurality of control-target devices. The electric/thermal energy storage schedule optimizing device also includes a start-stop optimizing unit creating start-stop schedules of the plurality of control-target devices based on the predicted values set by the predicting unit.

Claims

1. An electric/thermal energy storage schedule optimizing device comprising:

a predicting unit setting predicted values of a consumed energy of a plurality of control-target devices based on a comparison between a control setting value set by a setting unit and a past control setting value or setting predicted values of a supplying energy of the plurality of control-target devices based on the comparison between the control setting value set by the setting unit and the past control setting value; and

a start-stop optimizing unit creating start-stop schedules of the plurality of control-target devices based on the predicted values set by the predicting unit,

wherein the start-stop optimizing unit further comprises;

a start-stop condition setting unit setting start-stop conditions of the plurality of control-target devices in accordance with cold heat and hot heat consumed energy based on an activation preference order of the plurality of the control-target devices determined based on a predetermined evaluation index;

an activation-device allocating unit allocating the plurality of the control-target devices to be activated at each clock time based on the start-stop conditions and the predicted values;

a production-unit-price collecting unit computing a cold heat production unit price of a control-target device with a lowest activation preference order among the plurality of the control-target devices to be activated at each clock time;

a heat-storage/heat-dissipation allocating unit

allocating heat storage to clock times in an order beginning with a lowest cold heat production unit price and allocating electricity storage to clock times in an order beginning with the lowest cold heat production unit price, and

allocating heat dissipation to clock times in an order beginning with a highest cold heat production unit price and allocating electricity dissipation to clock times in an order beginning with the highest cold heat production unit price;

an activation-boundary-condition setting unit that sets an activation boundary condition which is a condition for activating each control-target device based on a characteristic of the control-target device and the activation preference order; and

a deactivation-boundary-condition setting unit that

sets a deactivation boundary condition which is a condition for deactivating each control-target device based on the characteristic of the control-target device and the activation preference order, and

sets a deactivation dead zone between the activation boundary condition and the deactivation boundary condition by making a value of the deactivation boundary condition smaller than a value of the activation boundary condition within a range which the control-target device with a highest activation preference order is not lower than a lower limit output.

2. The electric/thermal energy storage schedule optimizing device according to claim 1, further comprising:

a setting unit that sets a control setting value for setting an activation, an operation, and a deactivation during a future predetermined time period for the plurality of the control-target devices;

a status-quantity optimizing unit that creates an electric/thermal energy storing schedule obtained by optimizing a status quantity of the control-target device to be activated based on the start-stop schedule and a characteristic of the control-target device in view of the predetermined evaluation index;

an object accomplishment determining unit that determines whether or not the electric/thermal energy storing schedule accomplishes a predetermined target value;

a control-setting-value output unit that outputs the control setting value based on the electric/thermal energy storing schedule when the object accomplishment determining unit determines that the target value is accomplished; and

an adjusting unit that adjusts the control setting value set by the setting unit when the object accomplishment determining unit determines that the target value is not accomplished.

3. The electric/thermal energy storage schedule optimizing device according to claim 2, further comprising an inquiring unit that inquires to a local control device whether or not to accept the control setting value based on the electrical/thermal energy storing schedule when the object accomplishment determining unit determines that the target value is not accomplished.

4. The electric/thermal energy storage schedule optimizing device according to claim 1, further comprising:

a re-scheduling necessity determining unit that determines whether or not a difference between the predicted value by the predicting unit and a value of actual consumed energy or supplying energy, or, a difference between the control setting value and the actual status quantity of the control-target device exceeds a predetermined threshold; and

an adjusting unit that adjusts the control setting value when the re-scheduling necessity determining unit determines that the difference exceeds the predetermined threshold.

5. The electric/thermal energy storage schedule optimizing device according to claim 1, wherein the evaluation index is a minimization of either one of or both of the consumed energy and a cost.

6. The electric/thermal energy storage schedule optimizing device according to claim 5, wherein

the control-target device includes devices that produce cold water and hot water, and

the evaluation index is a cold water production unit price and a hot water production unit price or cold water production energy and hot water production energy.

7. The electric/thermal energy storage schedule optimizing device according to claim 1, wherein

the energy consuming device includes an illuminator, and

the control setting value used for a comparison by the predicting unit is an illuminance.

8. The electric/thermal energy storage schedule optimizing device according to claim 1, wherein

the energy consuming device includes an air-conditioner, and

the control setting value used for a comparison by the predicting unit is a PMV value.

9. An electric/thermal energy storage schedule optimizing method that causes a computer to execute:

a predicting process setting predicted values of a consumed energy of a plurality of control-target devices based on a comparison between a control setting value set by a setting unit and a past control setting value or a setting predicted values of a supplying energy of the plurality of control-target devices based on the comparison between the control setting value set by the setting unit and the past control setting value; and

a start-stop optimizing process creating start-stop schedules of the plurality of control-target devices based on the predicted values set by the predicting process,

wherein the start-stop optimizing process comprises;

a start-stop condition setting process setting start-stop conditions of the plurality of control-target devices in accordance with cold heat and hot heat consumed energy based on an activation preference order of the plurality of the control-target devices determined based on a predetermined evaluation index;

an activation-device allocating process allocating the plurality of the control-target devices to be activated at each clock time based on the start-stop conditions and the predicted values;

a production-unit-price collecting process computing a cold heat production unit price of a control-target device with a lowest activation preference order among the plurality of the control-target devices to be activated at each clock time;

a heat-storage/heat-dissipation allocating process

allocating heat storage to clock times in an order beginning with a lowest cold heat production unit price and allocating electricity storage to clock times in an order beginning with the lowest cold heat production unit price, and

allocating heat dissipation to clock times in an order beginning with a highest cold heat production unit price and allocating electricity dissipation to clock times in an order beginning with the highest cold heat production unit price;

an activation-boundary-condition setting process setting an activation boundary condition which is a condition for activating each control-target device based on a characteristic of the control-target device and the activation preference order; and

a deactivation-boundary-condition setting process

setting a deactivation boundary condition which is a condition for deactivating each control-target device based on the characteristic of the control-target device and the activation preference order, and

setting a deactivation dead zone between the activation boundary condition and the deactivation boundary condition by making a value of the deactivation boundary condition smaller than a value of the activation boundary condition within a range which the control-target device with a highest activation preference order is not lower than a lower limit output.

10. A non-transitory computer-readable recording medium having stored therein an electric/thermal energy storage schedule optimizing program that causes a computer to execute:

a predicting process setting predicted values of a consumed energy of a plurality of control-target devices based on a comparison between a control setting value set by a setting unit and a past control setting value or a setting predicted values of a supplying energy of the plurality of control-target devices based on the comparison between the control setting value set by the setting unit and the past control setting value; and

a start-stop optimizing process creating start-stop schedules of the plurality of control-target devices based on the predicted values set by the predicting process,

wherein the start-stop optimizing process comprises;

a start-stop condition setting process setting start-stop conditions of the plurality of control-target devices in accordance with cold heat and hot heat consumed energy based on an activation preference order of the plurality of the control-target devices determined based on a predetermined evaluation index;

an activation-device allocating process allocating the plurality of the control-target devices to be activated at each clock time based on the start-stop conditions and the predicted values;

a production-unit-price collecting process computing a cold heat production unit price of a control-target device with a lowest activation preference order among the plurality of the control-target devices to be activated at each clock time; and

a heat-storage/heat-dissipation allocating process

allocating heat storage to clock times in an order beginning with a lowest cold heat production unit price and allocating electricity storage to clock times in an order beginning with the lowest cold heat production unit price,

allocating heat dissipation to clock times in an order beginning with a highest cold heat production unit price and allocating electricity dissipation to clock times in an order beginning with the highest cold heat production unit price;

an activation-boundary-condition setting process setting an activation boundary condition which is a condition for activating each control-target device based on a characteristic of the control-target device and the activation preference order; and

a deactivation-boundary-condition setting process

setting a deactivation boundary condition which is a condition for deactivating each control-target device based on the characteristic of the control-target device and the activation preference order, and

setting a deactivation dead zone between the activation boundary condition and the deactivation boundary condition by making a value of the deactivation boundary condition smaller than a value of the activation boundary condition within a range which the control-target device with a highest activation preference order is not lower than a lower limit output.