JP2015080411A - Power control system - Google Patents

Power control system Download PDF

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Publication number
JP2015080411A
JP2015080411A JP2015004073A JP2015004073A JP2015080411A JP 2015080411 A JP2015080411 A JP 2015080411A JP 2015004073 A JP2015004073 A JP 2015004073A JP 2015004073 A JP2015004073 A JP 2015004073A JP 2015080411 A JP2015080411 A JP 2015080411A
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Japan
Prior art keywords
power
control
control pattern
means
power generation
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JP2015004073A
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JP5934396B2 (en
Inventor
和宏 野原
Kazuhiro Nohara
和宏 野原
竜司 岡
Ryuji Oka
竜司 岡
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積水化学工業株式会社
Sekisui Chem Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems 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
    • Y02B70/32End-user application control systems
    • Y02B70/3208End-user application control systems characterised by the aim of the control
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as climate change mitigation technology in the energy generation sector
    • Y02E40/76Computing methods or systems for efficient or low carbon management or operation of electric power systems
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/54Management of operational aspects
    • Y04S10/545Computing methods or systems for efficient or low carbon management or operation of electric power systems
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/20End-user application control systems
    • Y04S20/22End-user application control systems characterised by the aim of the control
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/20End-user application control systems
    • Y04S20/22End-user application control systems characterised by the aim of the control
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving
    • Y04S20/224Curtailment; Interruptions; Retail price-responsive demand

Abstract

Provided is a power control system capable of evaluating a control pattern being applied over a certain length of time and utilizing it for subsequent control.
A residential power control system including a solar power generation device and a power storage device. Then, initial setting means 21 for setting calculation conditions necessary for control, measuring means 7 for measuring the power generation amount and power consumption, power price setting means 23, and control pattern storage means 24 for storing a plurality of control patterns. And a calculation period setting unit 22 for setting a calculation period for calculating a power charge, and a power when controlled by each of a plurality of control patterns based on a measurement value and a power price measured by the measurement unit during the calculation period. A power rate calculation unit 31 for calculating a rate, a control pattern selection unit 32 for selecting one control pattern by evaluating the calculated values based on a predetermined standard, and a control device 1 for performing control according to the selected control pattern; It has.
[Selection] Figure 1

Description

  The present invention relates to a power control system that controls optimal distribution of power supplied from a solar power generation device, a power storage device, and a system power network in a building including the solar power generation device and the power storage device.

  2. Description of the Related Art Conventionally, there are known control for reducing power charges and leveling an electric load for a house including a solar power generation device and a power storage device (see Patent Documents 1 and 2).

  For example, in Patent Document 1, priority is determined in the order of low cost among power generated by a solar power generator, power obtained from a grid power network in a time zone other than midnight, and midnight power. An electric power supply system that can reduce an electric charge by using it is disclosed.

  Patent Document 2 discloses a storage battery capacity calculation method for obtaining an optimal combination of a photovoltaic power generation device and a power storage device.

JP-A-11-178237 JP 2004-32989 A

  However, the power supply system of Patent Document 1 is a system that determines the power to be used by judging the state at that time, and is not necessarily optimally controlled when it is counted in several days.

  In addition, the calculation method of the storage battery capacity in Patent Document 2 calculates the optimum capacity of the power storage device at the time when the equipment is introduced from the past measured values and estimated values. It cannot cope with changes after the introduction, such as shading caused by buildings built in the vicinity.

  Therefore, an object of the present invention is to provide a power control system capable of evaluating a control pattern being applied over a period of a certain length and utilizing it for subsequent control.

  In order to achieve the above object, a power control system of the present invention is a power control system for a building provided with a solar power generation device and a power storage device, and is a calculation necessary for controlling the solar power generation device and the power storage device. Initial setting means for setting conditions, measurement means for measuring the power generation amount of the photovoltaic power generation device and the power consumption of the building, power price setting means for setting a power price that changes with time, and the solar light Control pattern storage means for storing a plurality of control patterns for control of the power generation device and the power storage device, calculation period setting means for setting a calculation period for calculating the power rate of the building, and the measurement means during the calculation period Based on the measured value measured and the power price set by the power price setting means, when the control is performed in each of the plurality of control patterns A power charge calculating means for calculating a power charge, a control pattern selecting means for selecting one control pattern by evaluating a calculation value calculated by the power charge calculating means on a predetermined basis, and a selection by the control pattern selecting means And a control device that performs control according to the control pattern. Here, the control pattern storage means stores a plurality of control patterns set so that the discharge start time of the power storage device is three or more. The calculation period is preferably 15 to 60 days long.

  Further, the control pattern selection means can perform the evaluation based on the low power charge calculated by the power charge calculation means. Furthermore, the apparatus further comprises a carbon dioxide reduction amount calculating means for calculating a reduction amount of carbon dioxide emission based on the power generation amount of the solar power generation apparatus, and the control pattern selection means has a calculation result by the carbon dioxide reduction amount calculating means. It is also possible to employ a configuration in which the evaluation is performed according to a standard combining the above.

  Furthermore, the control pattern selection unit may select the control pattern at regular intervals.

  The power control system of the present invention configured as described above actually measures the power generation amount and power consumption of the building including the solar power generation device and the power storage device, and performs simulation of the power rate using the measured value. This is done for multiple control patterns. Then, a subsequent control pattern is determined based on the calculation result.

  For this reason, the control pattern being applied can be re-evaluated, and as a result, the subsequent control can be performed based on the control having a high evaluation. In other words, it can be reassessed as appropriate using the measured values, so changes in power prices, changes in equipment such as power storage devices and solar power generation devices, changes in lifestyle, and construction in the vicinity It is possible to easily cope with changes such as the shade that has been generated by the building.

  Further, by evaluating the control pattern with a length of 15 to 60 days, it is possible to derive an optimal control different from the control for the instantaneous value.

  Further, when selecting the control pattern, the power control system can be operated with the most economical control pattern if the one with the lowest power charge is selected.

  Moreover, a carbon dioxide reduction amount calculating means for calculating a reduction amount of carbon dioxide emission based on the power generation amount of the solar power generation apparatus can be provided and added to the evaluation standard.

  For this reason, it is possible to select not only the control pursuing only the economy that the electric power charge becomes the lowest, but also the control with a small load on the global environment.

  Further, by performing the control once selected for a certain period, the selected control can be evaluated in a long span.

It is a block diagram explaining the structure of the power control system of embodiment of this invention. It is a flowchart explaining the flow of a process of the power control system of embodiment of this invention. It is explanatory drawing explaining control pattern A1. It is explanatory drawing explaining control pattern A2. It is explanatory drawing explaining control pattern B1 of Example 1. FIG. It is explanatory drawing explaining the control pattern C1 of Example 1. FIG. It is explanatory drawing explaining the control pattern C2 of Example 1. FIG. It is a block diagram explaining the structure of the power control system of Example 2. FIG. It is explanatory drawing explaining the control pattern D1 of Example 2. FIG. It is explanatory drawing explaining the control pattern D2 of Example 2. FIG. It is a setting figure of the electric power price at the time of performing the simulation of Example 4. FIG. 10 is a graph showing the results of a summer simulation of Example 4. 10 is a graph showing the winter simulation results of Example 4. It is the graph which showed the simulation result of the intermediate period of Example 4.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram for explaining a schematic configuration of the power control system of the present embodiment. First, the overall configuration of the power control system will be described with reference to FIG.

  A house as a building controlled by this power control system is connected to a grid power network 8 as a power network for receiving power supply from grid power such as a power plant of a power company or a cogeneration facility installed in each region. ing.

  The house also includes a solar power generation device 4 as a distributed power generation device and a power storage device 5 that temporarily stores electric power.

  The solar power generation device 4 is a device that generates power by directly converting sunlight as solar energy into electric power by using a solar cell. This solar power generation device 4 is a device that can supply power only during a time period in which sunlight can be received.

  Moreover, the DC power generated by the solar power generation device 4 is usually used after being converted into AC power by a power conditioner (not shown). Furthermore, when the power storage device 5 is charged or discharged from the power storage device 5, direct current and alternating current are converted by a power conditioner (not shown).

  In addition, when a part or all of the power load device 61 described later is a device that operates with direct current, the power generated by the solar power generation device 4 or the power discharged from the power storage device 5 is used as direct current. You can also

  In addition, various power load devices 61 to which power is supplied through the distribution board 6 are installed in the house. For example, an air conditioner such as an air conditioner, a lighting device such as a lighting stand or ceiling light, and a home appliance such as a refrigerator or a television are operated by electric power.

  Furthermore, the electric vehicle or the plug-in hybrid car becomes the power load device 61 when charging is performed for running. Similarly to the power storage device 5, the power storage device 5 is used when discharging for the power load device 61 in the house.

  And the electric power control system of this Embodiment is the setting part 2 which performs various settings for performing control, the measurement means 7 which measures the electric power generation amount of the solar power generation device 4, and the electric power consumption amount of a house, and the after-mentioned A power rate calculation unit 31 that calculates a power rate when controlled by a plurality of control patterns, and a control pattern selection unit 32 that evaluates a calculation result of the power rate calculation unit 31 according to a predetermined standard and selects one control pattern. And the control apparatus 1 which controls the electrical storage apparatus 5 and the solar power generation device 4 according to the selected control pattern.

  The setting unit 2 also includes an initial setting unit 21 that sets calculation conditions necessary for controlling the solar power generation device 4 and the power storage device 5, and a calculation period setting unit 22 that sets a calculation period for calculating a power rate for a house. The power price setting means 23 for setting a power price that changes with time, and the control pattern storage means 24 for storing a plurality of control patterns for controlling the photovoltaic power generation apparatus 4 and the power storage apparatus 5 are provided.

  The initial setting means 21 sets the power generation capacity of the solar power generation device 4 attached to the house and the power storage capacity of the power storage device 5. Moreover, the calculation period setting means 22 sets the period used as calculation object. For example, the calculation period can be set to 15 to 60 days, preferably about 15 to 30 days.

  Furthermore, the power price setting means 23 sets a power price that changes according to the time of the day. For example, late-night discount prices from 23:00 (a1) to 6:00 (b1), living-time prices from 7:00 (a2) to 9:00 (b2), 10:00 (a3) to 16:00 The daytime price up to (b3), the living time price from 17:00 (a4) to 22:00 (b4), etc. are set.

  The power price setting means 23 also sets the purchase price when an electric power company or the like purchases the power generated by the solar power generation device 4. In addition, when an electric power company purchases a reduction amount of carbon dioxide emissions, the emission price is also set.

  In addition, the control pattern storage unit 24 stores a plurality of control patterns relating to a power usage method such as a power supply method and a charging timing. FIG. 3 shows the control pattern A1.

  As a precondition, this control pattern A1 is flowed as a reverse power flow to the grid power grid 8 side when a surplus is generated without being consumed in the house among the power generated by the photovoltaic power generation device (PV) 4, and the power company To buy. The purchase price at this time is higher than the late-night discount price. In addition, the living time price is higher than the midnight discount price, and the daytime price is higher than that. Further, the power storage device 5 can charge only the electric power flowing from the grid power network 8.

  What is expected by the control of this control pattern A1 is the effect of reducing the power charge by purchasing the surplus of the solar power generation device 4 and the effect of effectively using the low-priced late-night power. For this reason, the power storage device 5 is charged by the electric power flowing from the grid power network 8 during the midnight discount price period.

  And in control pattern A1, distribution of the electric power supplied to a house is performed with the following priority. First of all, during the midnight discount price period (a1 to b1) and time b1 to time (de-1), priority is given to the use of the power generated by the solar power generation device 4, and the power grid 8 is Supply power. Here, time de is a time set between time a2 and time b3. By changing the time de, a plurality of control patterns can be created in the control pattern A1.

  In addition, from time de to time b4, power is supplied to the house in the priority order of discharge from the power storage device 5, power generated by the solar power generation device 4, and power supplied from the grid power network 8.

  Here, when the output of the power storage device 5 is not suppressed, the control of the power storage device 5 from time de to time b4 is the same control.

  In contrast, the output of power storage device 5 can be suppressed from time de to time (gk−1). This is a control for purchasing as much as possible the electric power generated by the solar power generation device 4 that is purchased at a price higher than the midnight discount price.

  Here, the time gk is a time set between time a2 and time b3. Further, by changing the time gk, a plurality of control patterns can be created in the control pattern A1.

  Thus, a plurality of control patterns can be set by changing the time de and the time gk in the control pattern A1.

  On the other hand, the control pattern A2 shown in FIG. 4 is different from the control pattern A1 in that the power generated by the solar power generation device 4 is used with the highest priority. From time de to time b4, power is supplied to the house in the priority order of power generated by the solar power generation device 4, discharge from the power storage device 5, and power supplied from the grid power network 8.

  What is expected by the control of this control pattern A2 is to increase the carbon dioxide reduction effect by using the power generated by the solar power generation device 4 with the highest priority.

  Moreover, in this control pattern A2, when the electric power company has set the emission amount price, the amount calculated based on the electric power generation amount and the emission amount price of the solar power generation device 4 can be subtracted from the electric power fee. Yes (all purchases of PV).

  Then, the power charge calculation means 31 calculates a power charge for a plurality of control patterns stored in the control pattern storage means 24. This calculation of the power charge is performed for the calculation period set by the calculation period setting means 22.

  Moreover, the measured value measured by the measurement means 7 is used for the electric power generation amount and electric power sale amount (reverse tide flow rate) of the solar power generation device 4 in this calculation period, and the electric power consumption amount of a house. For example, a measurement value measured for n days on the same month one year ago can be used. In this case, the actually measured values can be used as they are, but the average value of each hour of the day can be calculated from the measured values for n days and used.

  Furthermore, the control pattern selection means 32 selects the control pattern that provides the cheapest power charge among the power charges calculated for a plurality of control patterns. That is, the evaluation standard of the control pattern described in the present embodiment is a low amount of money.

  The control device 1 performs control according to one control pattern selected by the control pattern selection means 32. Here, the control device 1 is connected to a distribution board 6 connected to the power storage device 5, the solar power generation device 4, the grid power network 8, and the power load device 61.

  The control device 1 has a function of a power conditioner that controls the timing of charging and discharging of the power storage device 5. In addition, control is performed so that the electric power discharged from the power storage device 5 flows toward the distribution board 6. Furthermore, it controls whether the electric power generated by the solar power generation device 4 is allowed to flow to the distribution board 6 or to be reversely flowed to the grid power network 8. In addition, it controls whether the power of the grid power network 8 is supplied to the power storage device 5 or the distribution board 6.

  Next, a processing flow of the power control system of the present embodiment will be described with reference to FIG.

  First, the initial setting means 21 inputs the power generation capacity (kW) of the solar power generation device 4 and the power storage capacity (kW) of the power storage device 5 (step S1). This input is performed from a terminal (not shown) connected to the system or a monitor (not shown) installed in a house. Moreover, the structure which detects automatically the specification of the solar power generation device 4 and the electrical storage apparatus 5 connected to the system may be sufficient.

  Subsequently, the power price at the time of calculation is set by the power price setting means 23 (step S2). This setting can be performed from a terminal or the like, but may be extracted from a database (not shown) connected to the system. Moreover, the structure which connects to the server of an electric power company and performs automatic update may be sufficient.

  Furthermore, as a premise for performing the calculation, the measurement unit 7 measures the power generation amount and the power sale amount of the solar power generation device 4 and the power consumption amount of the house for at least the calculation period, and accumulates the measurement values (step S3).

  Then, the calculation period is set by the calculation period setting means 22 (step S4). For example, n days (15 to 60 days) up to immediately before or n days on the same month one year ago can be set as the calculation period. The control pattern storage unit 24 stores a plurality of control patterns (step S5). The control pattern can be set from the terminal, but may be automatically set by the system learning from the previous operation or using other operation results.

  Subsequently, the power charge calculation means 31 calculates the power charge for each set control pattern (step S6). Further, the control pattern selection means 32 extracts the control pattern that has the lowest power charge from among the control patterns for which the power charges have been calculated (step S7).

  Then, after the calculation, the control device 1 performs control based on the selected control pattern that reduces the power rate most (step S8). This control pattern can be reviewed every day, but may be performed in units of length equivalent to the calculation period.

  Next, the operation of the power control system of the present embodiment will be described.

  The power control system of the present embodiment configured as described above actually measures the power generation amount and power consumption of a house including the solar power generation device 4 and the power storage device 5 over a certain period, A simulation of the electricity charge using the measured values is performed for a plurality of control patterns. Then, a subsequent control pattern is determined based on the calculation result.

  For this reason, the applied control pattern can be re-evaluated over a relatively long period of 15 to 60 days, and as a result, the subsequent control can be performed based on the highly evaluated control.

  Furthermore, by performing the control once selected for a certain period of time, when re-evaluating the selected control pattern thereafter, it is possible to perform the evaluation over a long span based on the actual operation result.

  In addition, evaluation can be performed again using measured values actually measured, so changes in electricity prices, changes in equipment such as power storage device 5 and solar power generation device 4, changes in lifestyle, construction in the vicinity It is possible to easily cope with changes such as the shade that has been generated by the buildings that have been constructed.

  Next, a control pattern different from the control pattern A1 described in the above embodiment will be described with reference to FIGS. The description of the same or equivalent parts as those described in the above embodiment will be given the same reference numerals.

  In the control pattern B1 shown in FIG. 5, as a precondition, when there is no purchase by the electric power company of the electric power generated by the solar power generation device 4, there is purchase of the reduced emission amount of carbon dioxide by the emission amount price. Or when there is purchase by the electric power company of the electric power generated with the solar power generation device 4, the purchase amount is lower than the midnight discount price. And the electrical storage apparatus 5 charges only the electric power generated by the solar power generation device 4.

  What is expected by the control of this control pattern B1 is the effect of reducing carbon dioxide by using as much power as possible generated by the solar power generation device 4 and the effect of effectively using low-cost late-night power.

  Therefore, in the control pattern B1, the highest priority is given to supplying the electric power generated by the solar power generation device 4 to the house at all times, and the power storage device 5 is charged with the surplus.

  From time a1 to time (dk-1), the power at the midnight discount price of the grid power network 8 is used in the second priority order, and from the time dk to time b4, the discharge from the power storage device 5 is the second priority. The priority is set, and the supply from the grid power network 8 is the third. Here, the time dk is a time set between time a1 and time b4. The time PK is the power generation start time of the solar power generation device 4, and the time VK is the power generation end time of the solar power generation device 4.

  On the other hand, the control pattern C1 shown in FIG. 6 differs from the control pattern B1 in that the power storage device 5 can be used for both the solar power generation device 4 and the power flowing in from the system power network 8. That is, the power storage device 5 charges the power flowing in from the grid power network 8 from time a1 to time b1 (or time PK), and surplus power generated by the solar power generation device 4 from time PK to time VK. To charge.

  Further, the control pattern C2 shown in FIG. 7 is different from the control pattern C1 in that the power generated by the solar power generation device 4 must be purchased by an electric power company.

  Furthermore, from time dk to time b4, power is supplied to the house in the priority order of discharge from the power storage device 5, power generated by the solar power generation device 4, and power supplied from the grid power network 8.

  In this way, if the preconditions are different, a control pattern different from the control patterns A1 and A2 described in the above embodiment can be set.

  Other configurations and operational effects are substantially the same as those in the above-described embodiment, and thus the description thereof is omitted.

  Next, a power control system in a form different from the power control system described in the above embodiment will be described with reference to FIGS. The description of the same or equivalent parts as those described in the above embodiment or Example 1 will be given the same reference numerals.

  As shown in FIG. 8, the power control system of the second embodiment includes a power storage device 5 </ b> A that charges power generated by the solar power generation device 4 and a power storage device 5 </ b> B that charges power flowing in from the grid power network 8. Two power storage devices are provided. These power storage devices 5A and 5B are controlled by the control device 1A.

  The control pattern D1 shown in FIG. 9 is based on the precondition that, when there is no purchase by the electric power company of the power generated by the solar power generation device 4, the emission of carbon dioxide reduced by the emission price is purchased. is there. Or when there is purchase by the electric power company of the electric power generated with the solar power generation device 4, the purchase amount is lower than the midnight discount price.

  What is expected by the control of the control pattern D1 is the effect of reducing carbon dioxide by using as much power as possible generated by the solar power generation device 4 and the effect of effectively using low-cost late-night power.

  The power storage device 5A that charges the power generated by the solar power generation device 4 charges the surplus power generated from the power generation start time PK to the power generation end time VK. Furthermore, the power storage device 5B is charged with the electric power flowing from the grid power network 8 during the midnight discount price period (a1 to b1).

  And in the control pattern D1, distribution of the electric power supplied to a house is performed with the following priority. First, from time a1 to time (fw-1), priority is given to the use of the power generated by the solar power generation device 4, and the power of the grid power grid 8 is supplied when there is not enough. Here, the time fw is the time before the time dg described later between the time a1 and the time b4.

  From time fw to time b4, the power generated by the solar power generation device 4 is supplied to the home with the highest priority, and the supply by the discharge of the power storage device 5A charged by the solar power generation device 4 is the second priority. Rank.

  Further, as the third priority, supply from the grid power network 8 is performed. Further, after the time dg (a2 ≦ dg ≦ b4, dg ≧ fw), the discharge from the power storage device 5B is given priority over the supply from the system power network 8.

  On the other hand, the control pattern D2 shown in FIG. 10 is different from the control pattern D1 in that the power generated by the solar power generation device 4 must be purchased by an electric power company. The purchase price at this time is higher than the late-night discount price.

  And in the control pattern D2, distribution of the electric power supplied to a house is performed with the following priority. First, from time a1 to time (dg-1), priority is given to the discharge from the power storage device 5A charged with the power generated by the solar power generation device 4, and when the power is insufficient, the solar power generation device 4 generates power. The power is supplied in the order of the power of the grid power network 8.

  Further, from time dg to time b4, priority is given to the discharge from the power storage device 5B, the discharge of the power storage device 5A charged by the solar power generation device 4, the power generated by the solar power generation device 4, and the power of the system power network 8. Supply power to houses in order.

  In this way, if the power control system includes two types of power storage devices, that is, the power storage device 5A for the solar power generation device 4 and the power storage device 5B for the grid power network 8, more control patterns can be set. It is possible to select an optimal control pattern from among them.

  Other configurations and operational effects are substantially the same as those of the above-described embodiment or other examples, and thus description thereof is omitted.

  Next, a power control system in a form different from the power control system described in the above embodiment will be described. Note that the description of the same or equivalent parts as those described in the embodiment or other examples will be given with the same reference numerals.

  The power control system according to the third embodiment includes a carbon dioxide reduction amount calculation unit that calculates a reduction amount of carbon dioxide emission based on the power generation amount of the solar power generation device 4. In this carbon dioxide reduction amount calculation means, the amount of carbon dioxide discharged when the electric power company generates the same amount of power as the amount of power generated by the solar power generation device 4 is calculated.

  In the control pattern selection unit of the third embodiment, the control pattern is evaluated on the basis of the combined result of the calculation by the carbon dioxide reduction amount calculation unit. That is, although the evaluation standard of the control pattern selection unit 32 of the above embodiment is only a low amount of money, the control pattern selection unit of Example 3 also adds the reduction amount of carbon dioxide to the evaluation standard.

  For example, regardless of whether or not there is a purchase based on the emission price of the above-mentioned electric power company, the carbon dioxide reduction amount is converted into a monetary amount and replaced with the monetary amount by subtracting it from the electricity rate calculated for each control pattern A standard can be set.

  In this way, by providing a carbon dioxide reduction amount calculation means for calculating the reduction amount of carbon dioxide emission based on the power generation amount of the solar power generation device 4 and adding it to the evaluation standard, the power rate is simply minimized. It is possible to select not only control pursuing only economic efficiency, but also control with less burden on the global environment.

  Other configurations and operational effects are substantially the same as those of the above-described embodiment or other examples, and thus description thereof is omitted.

  Next, the results of simulation based on the control pattern A1 described in the above embodiment will be described with reference to FIGS. The description of the same or equivalent parts as those described in the above embodiment will be given the same reference numerals.

  When performing the simulation in the fourth embodiment, the power price was set by the power price setting means 23 as shown in FIG. That is, the late night discount price from 23:00 (a1) to 6am (b1) is 9 yen / kWh, the living time price from 7am (a2) to 9am (b2) is 23 yen / kWh, The daytime price from 10 o'clock (a3) to 16:00 (b3) was 28 yen / kWh, and the living time price from 17:00 (a4) to 22:00 (b4) was 23 yen / kWh.

  In addition, the purchase price at which the electric power company purchases the electric power generated by the solar power generation device 4 was set at 39 yen / kWh. Therefore, the purchase price is higher than the late-night discount price, the living time price is higher than the late-night discount price, and the precondition of the control pattern A1 that the daytime price is higher than that is satisfied.

  Further, in Example 4, the simulation was performed by setting the calculation period to 30 days in each of the summer period, the winter period, and the intermediate period between the summer period and the winter period. Further, in each season, a simulation was performed for four control patterns in which the discharge start time (time de) of the power storage device 5 was shifted by 1 hour between 7 o'clock and 10 o'clock, and the power rate was calculated.

  FIG. 12 is a graph showing simulation results of four control patterns in summer. As a result, the electricity charge per day is 85 yen / day for the control pattern when the discharge start time is from 7 o'clock, 72 yen / day for the control pattern from 8 o'clock, and 75 yen / day for the control pattern from 9 o'clock. The control pattern from 10:00 was 100 yen / day.

  That is, in the summer season, it is understood that the electric power charge is the lowest when the control is performed according to the control pattern in which the discharge start time is from 8:00. For reference, the power charge when the power storage device 5 is not provided is 761 yen / day.

  FIG. 13 is a graph showing simulation results of four control patterns in winter. As a result, the electricity charge per day is 401 yen / day for the control pattern when the discharge start time is from 7 o'clock, 384 yen / day for the control pattern from 8 o'clock, and 390 yen / day for the control pattern from 9 o'clock. The control pattern from 10:00 was 399 yen / day.

  That is, it can be seen that, in winter, the power rate is the lowest when the control is performed according to the control pattern in which the discharge start time is from 8:00. In addition, the electric power charge when there is no power storage device 5 is 731 yen / day.

  FIG. 14 is a graph showing simulation results of four control patterns in the intermediate period. As a result, the electricity charge per day is -25 yen / day for the control pattern when the discharge start time is from 7 o'clock, -16 yen / day for the control pattern from 8 o'clock, and 1 yen for the control pattern from 9 o'clock. / Day, the control pattern from 10:00 was 16 yen / day. In addition,-(minus) display shows that there is no payment of power charges and it will be profitable.

  That is, in the intermediate period, when the control is performed according to the control pattern in which the discharge start time is 7 o'clock, a profit of 25 yen per day is obtained, and the power rate is the lowest. In addition, the electric power charge when there is no power storage device 5 is 465 yen / day.

  It can be seen that by changing the control pattern in this way, the calculated power charge changes even during the same calculation period. In addition, the simulation of the fourth embodiment is performed with a calculation period of 30 days, and by performing the calculation for a relatively long period in this way, it is different from the control by the instantaneous value and is economical in accordance with the actual operation. Control can be derived.

  Other configurations and operational effects are substantially the same as those of the above-described embodiment or other examples, and thus description thereof is omitted.

  The embodiment of the present invention has been described in detail above with reference to the drawings. However, the specific configuration is not limited to the embodiment and the example, and the design change is within a range not departing from the gist of the present invention. Are included in the present invention.

  For example, in the above-described embodiment, only the solar power generation device 4 is described as a distributed power generation device. However, it may be a residential power control system including a fuel cell, a small fossil fuel generator, and the like. .

  In addition, the power price described in the embodiment or example 4 is an example, and the time when the power price changes and the number of time zones where the price is different vary depending on the management policy of the power company, the policy at that time, and the like. .

  Furthermore, although the control apparatus 1 (1A) demonstrated in the said embodiment or Example 2 was connected to the solar power generation device 4, the electrical storage apparatus 5 (5A, 5B), the system power grid 8, and the distribution board 6. For example, the power conditioner disposed between the power storage device 5 (5A, 5B) and the distribution board 6 may be a control device.

1, 1A Control device 21 Initial setting means 22 Calculation period setting means 23 Electric power price setting means 24 Control pattern storage means 31 Electricity charge calculation means 32 Control pattern selection means 4 Photovoltaic power generators 5, 5A, 5B Power storage device 7 Measuring means A1 , A2 Control pattern B1 Control pattern C1, C2 Control pattern D1, D2 Control pattern

Claims (5)

  1. A power control system for a building including a solar power generation device and a power storage device,
    Initial setting means for setting calculation conditions necessary for controlling the solar power generation device and the power storage device;
    Measuring means for measuring the power generation amount of the solar power generation device and the power consumption of the building;
    An electricity price setting means for setting an electricity price that changes with time; and
    Control pattern storage means for storing a plurality of control patterns set so that the discharge start time of the power storage device is three or more;
    A calculation period setting means for setting a calculation period for calculating the power charge of the building;
    Power charge calculation for calculating a power charge when controlled by each of the plurality of control patterns based on the measured value measured by the measuring means and the power price set by the power price setting means during the calculation period Means,
    Control pattern selection means for selecting one control pattern by evaluating the calculated value calculated by the power rate calculation means according to a predetermined standard;
    A power control system comprising: a control device that performs control according to the control pattern selected by the control pattern selection means.
  2.   The power control system according to claim 1, wherein the calculation period is 15 to 60 days long.
  3.   3. The power control system according to claim 1, wherein the control pattern selection unit performs evaluation based on a low power charge calculated by the power charge calculation unit. 4.
  4.   The apparatus further comprises a carbon dioxide reduction amount calculating means for calculating a reduction amount of carbon dioxide emission based on the power generation amount of the solar power generation device, and the control pattern selection means combines the calculation results by the carbon dioxide reduction amount calculating means. The power control system according to claim 1, wherein the evaluation is performed based on a new standard.
  5.   5. The power control system according to claim 1, wherein selection of a control pattern by the control pattern selection unit is performed at regular intervals.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106681424A (en) * 2016-12-08 2017-05-17 苏州市职业大学 System and method for controlling solar photovoltaic power generation MPPT

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6055198B2 (en) * 2012-04-16 2016-12-27 積水化学工業株式会社 Power control system
JP6091794B2 (en) * 2012-07-30 2017-03-08 東芝ホームテクノ株式会社 Battery system
JP6210496B2 (en) * 2012-11-14 2017-10-11 国立大学法人京都大学 Power router and power network
WO2015019584A1 (en) * 2013-08-09 2015-02-12 パナソニックIpマネジメント株式会社 Power adjustment device, power adjustment method, and program
JP5484621B1 (en) 2013-09-06 2014-05-07 積水化学工業株式会社 Electric storage device discharge start time determination system
JPWO2015125715A1 (en) * 2014-02-24 2017-03-30 シャープ株式会社 Power system, charge / discharge control device, and charge / discharge control method
KR20150123540A (en) * 2014-04-25 2015-11-04 삼성전자주식회사 A method and an apparatus operating of a smart system for optimization of power consumption
JP6508000B2 (en) * 2015-11-05 2019-05-08 株式会社デンソー Power controller

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0614458A (en) * 1992-06-23 1994-01-21 Roehm Properties Bv Power system controller
JP2001008385A (en) * 1999-06-22 2001-01-12 Sekisui Chem Co Ltd Power storing system
JP2001337116A (en) * 2000-05-30 2001-12-07 Matsushita Electric Ind Co Ltd Power monitoring system
JP2007247968A (en) * 2006-03-15 2007-09-27 Osaka Gas Co Ltd Cogeneration system
JP2008054439A (en) * 2006-08-25 2008-03-06 Toyota Motor Corp Power system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3519699B2 (en) * 1992-04-24 2004-04-19 エイディシーテクノロジー株式会社 Energy control device
JP2003079054A (en) * 2001-08-31 2003-03-14 Sanyo Electric Co Ltd Solar power generation system having storage battery

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0614458A (en) * 1992-06-23 1994-01-21 Roehm Properties Bv Power system controller
JP2001008385A (en) * 1999-06-22 2001-01-12 Sekisui Chem Co Ltd Power storing system
JP2001337116A (en) * 2000-05-30 2001-12-07 Matsushita Electric Ind Co Ltd Power monitoring system
JP2007247968A (en) * 2006-03-15 2007-09-27 Osaka Gas Co Ltd Cogeneration system
JP2008054439A (en) * 2006-08-25 2008-03-06 Toyota Motor Corp Power system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106681424A (en) * 2016-12-08 2017-05-17 苏州市职业大学 System and method for controlling solar photovoltaic power generation MPPT
CN106681424B (en) * 2016-12-08 2018-04-10 苏州市职业大学 A kind of solar energy power generating MPPT control systems and control method

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