JP2016116401A - Power load leveling device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a power load leveling device that is capable of optimizing power consumption's peak and a storage battery's charge/discharge timing and is capable of more efficiently performing, by using the storage battery, load leveling including power peak cut.SOLUTION: A power load leveling device 1 is constituted by a system controller 17 comprising: an environmental information acquisition unit 171 for acquiring environmental information including a plurality of index values having correlation with reception power; a storage unit 172 for associating a history of the reception power with the environmental information and storing the associated history as a power consumption history; a prediction environmental information acquisition unit 173 for acquiring, as prediction environmental information, a plurality of index values in a predetermined prediction period; a demand power prediction unit 174 for predicting demand power in the predetermined prediction period, on the basis of the power consumption history and prediction environmental information; and a charging/discharging control unit 176 for controlling, on the basis of a demand power prediction result and a predetermined threshold, a lithium-ion battery 15's charging/discharging so that reception power does not exceed the predetermined threshold.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a power load leveling device that performs load leveling of received power.

  2. Description of the Related Art Conventionally, a technique is known in which when power received from a commercial power system exceeds a predetermined value, power is supplied from a power storage device such as a storage battery, and the peak of received power is cut (for example, Patent Documents). 1).

  Here, in Patent Document 1, a generation step of generating predicted data of power supplied from a commercial power source in a specific period and a peak value of power (predicted data) supplied from the commercial power source in a specific period are the smallest. Degree of divergence between actual demand power and forecast demand power in the most recent unit period using the step of identifying candidate values as leveling target values, actual demand power transition data, and demand power forecast data Calculating a correction amount of a leveling target value that is a target value of the maximum power supplied from the commercial power supply according to the calculated degree of divergence, and a power supply device that controls the power supplied from the commercial power supply Is controlled so as to supply the power of the leveling target value corrected with the correction amount from the commercial power supply.

  According to this technology (power peak cut method), the candidate value that minimizes the peak value of the power (predicted data) supplied from the commercial power supply in a specific period is specified as the leveling target value, and the actual demand When the difference between the power and the predicted demand power becomes large, the leveling target value is corrected, and the discharge power from the battery is reduced. For this reason, it is possible to prevent the peak value of the power supplied from the commercial power source from becoming significantly large when the discharge power from the battery becomes larger than expected and the remaining battery level reaches 0%.

JP 2011-229238 A

  However, in the technique described in Patent Document 1, the leveling target value is always set so that the peak is minimized in accordance with the prediction result of the demand power in a specific period (that is, regardless of the size of the peak). The Therefore, for example, even when the absolute value of the peak is relatively small, the battery is completely discharged, and the battery power may be discharged unnecessarily (more than necessary). In addition, this technology does not consider optimizing the peak of power consumption and the charge / discharge timing of the battery, and since full charge and complete discharge are repeated, the durability of the battery is adversely affected. There is a risk of giving.

  The present invention has been made to solve the above-mentioned problems, and can optimize the peak of power consumption and the charge / discharge timing of the storage battery, and includes the peak cut of power more efficiently using the storage battery. An object of the present invention is to provide a power load leveling device capable of performing load leveling.

  The power load leveling device according to the present invention is measured by a measuring unit that measures power received from a commercial power system, a storage battery that is connected to a power system that supplies the received power to an electric load, and a measuring unit. Acquisition of environmental information including charging / discharging control means for controlling charging / discharging of the storage battery so that the power to be transmitted does not exceed a predetermined threshold value, and environmental information including a plurality of index values correlated with the received power A storage unit that stores a history of received power in association with environment information as power consumption history, a predicted environment information acquisition unit that acquires a plurality of index values in a predetermined prediction period as predicted environment information, Prediction means for predicting demand power for the predetermined prediction period based on consumption history and prediction environment information for the predetermined prediction period, and the charge / discharge control means includes a prediction result by the prediction means, and Based on certain threshold, and controls the charging and discharging of the storage battery.

  According to the power load leveling device of the present invention, based on the power consumption history and the predicted environment information for the predetermined prediction period, the power demand for the predetermined prediction period is predicted, and the prediction result and the predetermined threshold value are calculated. Based on the above, charging / discharging of the storage battery is controlled. Therefore, demand power (demand) at an arbitrary future time point (predetermined prediction period) can be predicted, and charge / discharge control of the storage battery can be performed in an appropriate state. As a result, optimization of the peak of power consumption and the charge / discharge timing of the storage battery can be achieved, and load leveling including power peak cut can be performed more efficiently using the storage battery.

  In the power load leveling device according to the present invention, the charge / discharge control means determines whether or not the storage battery needs to be charged and determines the charging time based on the predicted demand power and a predetermined threshold value. Is preferred.

  In this way, if the battery needs to be charged in anticipation of the future (for example, if the peak is not predicted tomorrow afternoon, it is not necessary to charge during the lunch break) and if charging is required It is possible to determine a suitable charging time (timing).

  In the power load leveling device according to the present invention, the storage means stores the power consumption history for each individual electric device or electric device group constituting the electric load, and the prediction means is the individual electric device or electric device. Based on the power consumption history for each group, it is preferable to predict the power demand for a predetermined prediction period.

  In this case, the demand power is predicted based on the power consumption history (power consumption pattern) of the individual electric devices or the electric device group constituting the electric load. Therefore, demand power (demand) can be predicted based on more detailed and detailed information. Therefore, it becomes possible to improve the prediction accuracy of the demand power in a desired period.

  In the power load leveling device according to the present invention, the prediction means obtains the similarity between the environmental information included in the stored power consumption history and the acquired predicted environmental information, and the environmental information having the highest similarity. It is preferable to predict the demand power in a predetermined prediction period using the power consumption history corresponding to the above.

  In this case, the power demand in a predetermined prediction period is predicted using the power consumption history stored in association with the environment information having the highest similarity (matching degree). Therefore, it is possible to improve the prediction accuracy of demand power (demand) in a desired period.

  The power load leveling device according to the present invention further includes learning means for comparing the predicted demand power and the actually measured received power and learning the comparison result, and the prediction means learns by the learning means. In consideration of the result, it is preferable to predict the power demand in a predetermined prediction period.

  In this case, the predicted demand power is compared with the actually measured received power, and the comparison result is learned. Then, in consideration of the learning result, the power demand for a predetermined prediction period is predicted. Therefore, it is possible to further improve the prediction accuracy of demand power (demand) in a desired period. Further, for example, it is possible to flexibly cope with addition / reduction of electrical loads (electrical devices), model / specification changes, and the like.

  In the power load leveling device according to the present invention, the predicted environment information acquisition unit repeatedly acquires the predicted environment information, and the prediction unit updates the prediction result of the demand power based on the repeatedly acquired predicted environment information. It is preferable to do.

  In this case, the prediction result of the demand power is updated based on the newly acquired predicted environment information (that is, information with higher accuracy). Therefore, for example, it is possible to flexibly cope with updating / changing the predicted environment information (for example, updating / changing weather and temperature forecasts, work plans (operation plans for electrical equipment), etc.). Therefore, it is possible to further improve the prediction accuracy of demand power (demand) in a desired period.

  In the power load leveling device according to the present invention, when the charge / discharge control means is larger than the required discharge amount obtained from the predicted demand power, the charge of the storage battery is prohibited and the storage battery is charged. When the amount is equal to or less than the required discharge amount, it is preferable to charge the storage battery.

  In this case, whether or not the storage battery needs to be charged is determined according to a comparison result between the storage amount (SOC) of the storage battery and the required discharge amount (peak cut amount) obtained from the predicted demand power (demand). Therefore, it is possible to optimize the storage amount (SOC) of the storage battery while accurately cutting the peak. Therefore, it becomes possible to suppress the lifetime reduction of a storage battery.

  In the power load leveling device according to the present invention, it is preferable that the charge / discharge control means charges the storage battery using nighttime power when the predicted required discharge amount is lower than a predetermined value.

  In this way, it is possible to appropriately adjust the storage amount (SOC) of the storage battery, that is, to improve the life by suppressing the deterioration of the storage battery, and to charge the storage battery using a night charge with a relatively low electricity bill. It is possible to achieve both.

  Further, in the power load leveling device according to the present invention, the charge / discharge control unit charges the storage battery immediately before the received power is predicted to reach a peak when the predicted required discharge amount is higher than a predetermined value. It is preferable to charge the storage battery so that is completed.

  If it does in this way, according to the time when the demand power (power consumption) of a load is predicted to become a peak, the storage battery is charged so as to be in a fully charged state immediately before the start of discharging. Therefore, it is possible to improve the life by suppressing the deterioration of the storage battery.

  In the power load leveling apparatus according to the present invention, when the charge / discharge control means does not exceed the predetermined threshold value of the predicted demand power for a predetermined time, the power reception measured in the predetermined time is performed. Even if the power temporarily exceeds a predetermined threshold value, it is preferable to prohibit the discharge of the storage battery.

  If it does in this way, it will become possible to prevent the unnecessary discharge of a storage battery, preventing the average value of the demand power for the predetermined time exceeding a predetermined threshold value.

  In the power load leveling device according to the present invention, when the charge / discharge control means is predicted to generate a plurality of power peaks exceeding a predetermined threshold within a predetermined prediction period, the second and subsequent powers When it is predicted that the storage amount of the storage battery will be insufficient to cut the peak, it is preferable to charge the storage battery between the power peak and the next power peak.

  If it does in this way, charging / discharging of a storage battery can be managed appropriately, cutting a some electric power peak appropriately. Moreover, it becomes possible to optimize the installation capacity of a storage battery.

  The power load leveling device according to the present invention preferably further includes a natural energy power generation device that is connected to the power system and generates power from natural energy.

  In this way, the power load leveling device according to the present invention is also applied to high-voltage power receiving equipment to which a natural energy power generation device (for example, a solar cell or a wind power generation device) that generates power from natural energy is connected. It becomes possible to do. Moreover, if it does in this way, it will also become possible to perform cooperative control, such as preferentially supplying the electric power generated by the natural energy power generation device to the storage battery.

  In particular, in the power load leveling device according to the present invention, the environmental information acquisition means acquires environmental information further including an index value having a correlation with the power generation amount of the natural energy power generation apparatus, and the storage means stores the natural energy power generation apparatus. The history of the power generation amount is further stored as the power generation amount history in association with the environment information, the predicted environment information acquisition unit acquires the index value in the predetermined prediction period as the prediction environment information, and the prediction unit stores the power generation amount history. And, based on the predicted environment information for the predetermined prediction period, further predict the power generation amount by the natural energy power generation device for the predetermined prediction period, and the charge / discharge control means takes into account the power generation amount predicted by the prediction means It is preferable to control charging / discharging of the storage battery.

  If it does in this way, it will also be possible to predict the amount of power generated by the natural energy power generation device and to appropriately control the charging / discharging of the storage battery.

  According to the present invention, it is possible to optimize the peak of power consumption and the charge / discharge timing of the storage battery, and it is possible to perform load leveling including the power peak cut more efficiently using the storage battery.

It is a block diagram which shows the structure of the electric power load leveling apparatus which concerns on 1st Embodiment. It is a flowchart which shows the process sequence of the power consumption log | history information acquisition process by the electric power load leveling apparatus which concerns on 1st Embodiment. It is a flowchart which shows the process sequence of the peak cut (load leveling) process by the electric power load leveling apparatus which concerns on 1st Embodiment. It is a block diagram which shows the structure of the electric power load leveling apparatus which concerns on 2nd Embodiment.

  DESCRIPTION OF EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings. In the drawings, the same reference numerals are used for the same or corresponding parts. Moreover, in each figure, the same code | symbol is attached | subjected to the same element and the overlapping description is abbreviate | omitted.

[First Embodiment]
First, the configuration of the power load leveling device 1 according to the first embodiment will be described with reference to FIG. FIG. 1 is a block diagram illustrating a configuration of a power load leveling device 1 and a high-voltage power receiving facility 5 to which the power load leveling device 1 is applied. Here, the case where the power load leveling device 1 is applied to a high voltage power receiving facility 5 owned by a customer of a high voltage power receiving contract such as an office or a factory will be described as an example.

  The high-voltage power receiving facility 5 is a facility for a customer to receive power from a commercial power system developed by an electric power company. In the high-voltage power receiving facility 5 illustrated in FIG. 1, the drawn commercial power system includes a DS (Disconnecting Switch) 21, a VCT (Voltage Current and Transformer) 22, an OCR (Over). -Current Relay (overcurrent relay) 23 and a VCB (vacuum circuit breaker) 24 are connected to the bus 25. The VCT 22 is connected to a WH (Watt-hour meter) 26 that measures received power and outputs a pulse signal corresponding to the received power.

  The bus 25 is loaded with power reduced by a Tr (Transformer) 28 connected via an LBS (AC Load Break Switch) 26 (eg, lighting equipment, IT / OA equipment). A plurality of power systems 32 that supply air conditioning equipment, refrigeration / refrigeration equipment, electric machine tools, compressors, and the like) are connected.

  The power load leveling device 1 mainly includes a power receiving point power measuring instrument 11, a device power measuring instrument 12, a bidirectional inverter 13, a storage battery 15, a system controller 17, a DB server 19, and the like. .

  The power receiving point power measuring instrument 11 detects the voltage / current / frequency transformed on the secondary side of the VCT 22. That is, the power receiving point power measuring instrument 11 functions as a measuring unit described in the claims. The power receiving point power measuring instrument 11 is connected to the system controller 17, and the detected value is output to the system controller 17.

  The device power meter 12 is attached to the above-described power system 32 and detects the voltage, current, and frequency of power supplied to each load connected to the power system 32. The device power meter 12 is connected to the system controller 17, and the detected current value (power value) is output to the system controller 17.

  The bidirectional inverter 13 converts AC power of 50 Hz / 60 Hz into DC power, converts DC power output from the lithium ion battery 15 into AC power, and is connected to the grid (voltage and frequency conversion or power failure) This is a power conversion device that can be operated under the protection coordination. The bidirectional inverter 13 has a grid interconnection function as described above, and is connected to the power grid 32 that supplies the received power to the load. Here, the rated output of the bidirectional inverter 13 is preferably 2 to 10 kW.

  The inverter controller 14 drives the bidirectional inverter 13 based on a control signal (information) from the system controller 17. The system controller 17 and the inverter controller 14 are connected to each other via a communication line 18 such as a CAN (Controller Area Network) or RS485, for example.

  The storage battery 15 is connected to the bidirectional inverter 13 and is charged with commercial power via the bidirectional inverter 13, while discharging the charged power and supplying power to the load. As the storage battery 15, a lithium ion battery having high energy density and high charge / discharge efficiency is preferably used. The state of the lithium ion battery 15, for example, SOC (State Of Charge), voltage, temperature, and the like are monitored by a BCU (Battery Control Unit) 16.

  The BCU 16 outputs a charge request to the system controller 17 when the charged amount (SOC) of the lithium ion battery 15 is insufficient. On the other hand, when the storage amount is sufficient, information indicating that the discharge is possible is output to the system controller 17. The system controller 17 and the BCU 16 are connected to each other via the communication line 18 described above.

  The system controller 17 includes a CPU for performing calculations, a ROM for storing programs and data, a RAM for storing various data such as calculation results, a backup RAM for storing stored contents, and an application program for causing the CPU to execute each process. And a storage device such as a hard disk for storing data such as power consumption history information, learning results (details will be described later), and an input / output I / F. The system controller 17 may be designed exclusively as a dedicated machine, or may be configured using a general-purpose programmable logic controller (PLC) or the like. In addition, data such as power consumption history can be stored in an external DB (database) server 19 connected via a communication network, for example.

  The system controller 17 controls the timing of discharging (power feeding) and the timing of charging (power receiving) of the lithium ion battery 15. More specifically, the system controller 17 predicts the demand power and the storage amount, and the received power value is calculated based on the predicted demand power and the storage amount and the reception power measured by the power receiving point power measuring instrument 11. The bidirectional inverter 13 is driven and controlled so as not to exceed a predetermined power value determined in advance.

  At that time, the system controller 17 can optimize the peak of power consumption and the charge / discharge timing of the lithium ion battery 15 based on the predicted demand power and the amount of stored electricity. It has a function to perform load leveling including power peak cut more efficiently. Therefore, the system controller 17 functionally includes an environment information acquisition unit 171, a storage unit 172, a predicted environment information acquisition unit 173, a demand power prediction unit 174, a learning unit 175, and a charge / discharge control unit 176. In the system controller 17, an environment information acquisition unit 171, a storage unit 172, a predicted environment information acquisition unit 173, a power demand prediction unit 174, a learning unit 175, Each function of the discharge control unit 176 is realized.

  The environment information acquisition unit 171 acquires environment information including a plurality of index values having a correlation with received power (that is, demand power of an electrical load). That is, the environment information acquisition unit 171 functions as the environment information acquisition unit described in the claims.

  Here, as index values included in the environmental information, for example, calendar (year / month / day / time / event), weather information (weather / sunshine / rainfall / snowfall / wind speed / wind direction / temperature / humidity / inside / outside temperature) Difference), work plans (electric equipment operation plans, management events, business patterns, etc.), disaster information (typhoons, earthquakes, volcanoes, etc.), location information, altitude, etc. These are merely examples, and the index values included in the environmental information are not limited to these. In addition to the above-mentioned index values, for example, as customer (electric power user) information, company information (industry, number of employees, power reception standards, charges, etc.), office information (building structure, space volume, etc.), business It is preferable to acquire and store information on the form (office, factory, general house, condominium, etc.).

  For example, when unique power consumption history information is not accumulated in the initial state, average demand power associated with such information is provided as a default, and matching is used to predict demand power. It can also be set as the structure to do. The environment information (each index value) can be acquired from, for example, a DB (database) server via a network, or by accepting an input operation by an administrator (or user). The environment information acquired by the environment information acquisition unit 171 is output to the storage unit 172.

  The storage unit 172 uses the measured received power (electric load power consumption) as the environmental information (for example, business calendar, date, time, weather, temperature / humidity, electrical equipment operating status, work plan, etc.). And stored as power consumption history information. That is, the storage unit 172 functions as a storage unit described in the claims. At that time, the storage unit 172 includes individual electric devices (for example, lighting devices, IT / OA devices, air conditioning devices, refrigeration / refrigeration devices, electric machine tools, compressors, etc.) constituting a load or a plurality of electric devices. It is preferable to store a power consumption history for each electric device group composed of: In particular, the storage unit 172 preferably accumulates data (power consumption history) for the past several years to be controlled, and stores, for example, averaged data. Further, the storage unit 172 stores a learning result (details will be described later) by the learning unit 175. Data such as the power consumption history and the learning result stored in the storage unit 172 is output to the prediction unit 174 and the charge / discharge control unit 176.

  The predicted environment information acquisition unit 173 predicts a plurality of index values (for example, tomorrow's date, time, weather, temperature / humidity prediction, electrical equipment operation plan, work plan, etc.) in a period (for example, tomorrow) to be predicted. Obtained as environmental information. That is, the predicted environment information acquisition unit 173 functions as a predicted environment information acquisition unit described in the claims. Here, the predicted environment information acquisition unit 173 preferably acquires the predicted environment information in real time continuously (repeatedly) after the demand power is predicted. The predicted environment information acquired by the predicted environment information acquisition unit 173 is output to the demand power prediction unit 174.

  Based on the power consumption history information stored in time series and the obtained prediction environment information of the predetermined prediction period (for example, tomorrow), the demand power prediction unit 174 performs the predetermined prediction period (for example, tomorrow). Demand power (demand) and power storage amount (SOC) are predicted. That is, the power demand prediction unit 174 functions as a prediction unit described in the claims. At that time, it is preferable that the demand power prediction unit 174 predicts the demand power and the amount of electricity stored in a predetermined prediction period based on the power consumption history for each individual electrical device or electrical device group.

  More specifically, the power demand prediction unit 174 obtains the similarity between the stored environment information and the acquired predicted environment information, and stores the power consumption stored in association with the environment information having the highest similarity. Using the history, the demand power (demand) and the amount of stored electricity in a predetermined prediction period are predicted. At that time, it is preferable that the demand power prediction unit 174 predicts the demand power (demand) and the storage amount in a predetermined prediction period in consideration of the learning result stored in the storage unit 172. The power demand prediction unit 174 calculates a correction amount for each index value included in the environmental information (for example, calculates a correction amount based on the difference between the temperature of the stored history data and the predicted temperature). The power demand may be corrected.

  In addition, when the predicted environment information (index value) is acquired repeatedly (in real time) by the predicted environment information acquisition unit 173 after the demand power is predicted, the demand power prediction unit 174 acquires the acquired predicted environment information. Based on (index value), the prediction result of demand power is updated (feedback). The demand power (demand) predicted by the demand power prediction unit 174 is output to the learning unit 175 and the charge / discharge control unit 176.

  The learning unit 175 compares the predicted demand power with the actually received power (power consumption) actually measured later, and learns the comparison result. That is, the learning unit 175 functions as a learning unit described in the claims. The learning result by the learning unit 175 is output to the storage unit 172 and stored in the storage unit 172.

  The charging / discharging control unit 176 controls charging / discharging of the lithium ion battery 15 so that the measured received power (demand power) does not exceed a predetermined threshold value. In particular, the charge / discharge control unit 176 charges / discharges the lithium ion battery 15 based on the demand power (demand) by the demand power prediction unit 174, the prediction result of the storage amount of the lithium ion battery 15, and a predetermined threshold value. To control. That is, the charge / discharge control unit 176 functions as charge / discharge control means described in the claims.

  More specifically, the charge / discharge control unit 176 determines whether or not the storage battery 15 needs to be charged based on the predicted storage amount (SOC) of the lithium ion battery 15, demand power (demand), and a predetermined threshold value. At the same time, the charging time (timing) is determined. That is, the charge / discharge control unit 176 determines that the lithium ion battery 15 has a stored amount (SOC) greater than the required discharge amount (peak cut amount) obtained from the predicted demand power (demand). Charging is prohibited, and the lithium ion battery 15 is charged when the charged amount of the lithium ion battery 15 is less than or equal to the required discharge amount.

  At that time, for example, when the predicted required discharge amount (the amount of power required for peak cut) is lower than a predetermined value (for example, about 80% in SOC), the charge / discharge control unit 176 uses the nighttime power. It is preferable to charge the lithium ion battery 15.

  On the other hand, the charge / discharge control unit 176 predicts that the received power reaches a peak when the predicted required discharge amount (the amount of power required for peak cut) is higher than a predetermined value (for example, about 80% in SOC). Immediately before the time, the lithium ion battery 15 is charged so that the charging of the lithium ion battery 15 is completed. That is, for example, after power feeding, the lithium ion battery 15 is charged to SOC 80% and fully charged immediately before power feeding (discharge) on the next day. If it does in this way, the lifetime improvement of the lithium ion battery 15 and the electric power storage provided at the time of emergency can be made compatible.

  In addition, when the average value of the predicted demand power (demand) for a predetermined time (for example, 30 minutes) does not exceed a predetermined threshold, the charge / discharge control unit 176 temporarily measures within the predetermined time. Even if the generated power (actual power value) exceeds a predetermined threshold, discharging of the lithium ion battery 15 is prohibited. Further, the charging / discharging control unit 176, when it is predicted that a plurality of power peaks exceeding a predetermined threshold will occur within a predetermined prediction period, the lithium ion is used to cut the second and subsequent power peaks. When it is predicted that the storage amount of the battery 15 will be insufficient, the lithium ion battery 15 is charged between the power peak and the next power peak. In this way, for example, by performing power reception (charging) during a time period during which the power consumption during the lunch break is reduced, it is possible to supplement the power supplied (discharged) in the morning. In this way, the equipment capacity of the lithium ion battery 15 can be reduced.

  Next, the operation of the power load leveling device 1 will be described with reference to FIGS. 2 and 3 together. FIG. 2 is a flowchart showing a processing procedure of power consumption history information (DB) acquisition processing by the power load leveling device 1. FIG. 3 is a flowchart showing a processing procedure of peak cut (load leveling) processing by the power load leveling device 1. First, power consumption history information (DB) acquisition processing by the power load leveling device 1 will be described with reference to FIG. This process is repeatedly executed by the system controller 17 at a predetermined timing.

  In step S100, the received power at the power receiving point detected by the power receiving point power measuring instrument 11 is read. Subsequently, in step S102, environmental information at that time (for example, date, time, weather, temperature / humidity, electrical equipment operation plan, work plan, etc.) is acquired.

  Next, in step S104, the power consumption history information is generated by associating the received power value read in step 100 with the environmental information acquired in step S102. In subsequent step S105, the probability of the population is determined. That is, the probability for the predicted value (predicted probability) is multiplied by the predicted value as a coefficient (in other words, when a deviation between the predicted value and the value measured in real time has occurred, the error is multiplied by the predicted value as a coefficient. ). Here, the prediction probability uses the probability of the extracted original demand data as a coefficient. In other words, when extracting the demand data of a similar customer from a database of a similar business type, scale, region, time, etc., for example, when the number of original data in the database is small or the data is missing When applying, the certainty is used as a coefficient.

  In step S106, the power consumption history information generated in step S104 is added to the database (DB) and stored (DB creation). Thereafter, the process is temporarily exited. By repeatedly executing this processing, the received power (demand power) every 24 hours of year / month / week is compiled into a database.

  Next, a peak cut (load leveling) process performed by the power load leveling apparatus 1 will be described with reference to FIG. This process is also repeatedly executed by the system controller 17 at a predetermined timing.

  First, in step S200, stored power consumption history information is read. Next, in step S202, prediction environment information (for example, tomorrow's date, time, weather, temperature / humidity, electrical equipment operation plan, work plan, etc.) for a predetermined prediction period, that is, a period to be predicted (for example, tomorrow). Is acquired.

  In step S204, based on the power consumption history information and the predicted environment information, demand power (demand) and power storage amount in a predetermined prediction period (for example, tomorrow) are predicted in time series. In subsequent step S205, a correction amount is calculated for each index value included in the environmental information (for example, a correction amount is calculated based on the difference between the temperature of the stored history data and the predicted temperature). The predicted power demand is corrected. Subsequently, in step S206, the peak cut power and the peak cut timing are acquired from the demand power, the storage amount, and the peak cut threshold value predicted in step S204 and corrected in step S205. And based on these peak cut electric power and peak cut timing, the charge timing / discharge timing of the lithium ion battery 15 and the target charged amount are set. In addition, since the charging timing of the lithium ion battery 15 etc. which are set are as above-mentioned, detailed description is abbreviate | omitted here.

  Next, in step S208, the received power at the power receiving point detected by the power measuring instrument 11 for the power receiving point is read. Subsequently, in step S210, the predicted value of demand power is compared with an actual measurement value (measured received power), and a comparison result is learned.

  In step S212, it is determined whether or not the start condition (conditions such as the charging timing) of the bidirectional inverter 13 is satisfied. Here, if the activation condition is satisfied, the process proceeds to step S214. On the other hand, when the activation condition is not satisfied, the process is temporarily exited.

  In the subsequent step S214, various relays are turned on (connected), and the bidirectional inverter 13 is activated. In step S216, the bidirectional inverter 13 is driven, power is received from the power system 32, and the lithium ion battery 15 is charged.

  Next, in step S218, a determination is made as to whether charging of the lithium ion battery 15 has been completed (whether the SOC has reached the target value). Here, when the charging of the lithium ion battery 15 is completed, the process proceeds to step S220. On the other hand, when the charging of the lithium ion battery 15 is not completed, the charging of the lithium ion battery 15 is continuously performed.

  In step S220, the power reception by the bidirectional inverter 13 is terminated, and the charging of the lithium ion battery 15 is terminated. In step S220, the bidirectional inverter 13 is stopped.

  On the other hand, in step S224, it is determined whether or not the start condition (the conditions such as the discharge timing) of the bidirectional inverter 13 is satisfied. Here, if the activation condition is satisfied, the process proceeds to step S226. On the other hand, when the activation condition is not satisfied, the process is temporarily exited.

  In the subsequent step S226, various relays are turned on (connected), and the bidirectional inverter 13 is activated.

  Next, in step S228, a determination is made as to whether or not the received power value is greater than or equal to a power supply (discharge) start threshold value. If the received power value is greater than or equal to the power supply start threshold value, the process proceeds to step S230. On the other hand, when the received power value is smaller than the power supply start threshold value, the process is temporarily exited.

  In step S230, the bidirectional inverter 13 is driven, and the power of the lithium ion battery 15 is supplied (powered) to the power system 37. However, as described above, when the average value of the predicted demand power (demand) for a predetermined time (for example, 30 minutes) does not exceed a predetermined threshold value, the received power ( Even if the actual power value) temporarily exceeds a predetermined threshold, discharging of the lithium ion battery 15 is prohibited.

  Subsequently, in step S232, a determination is made as to whether or not the received power value is greater than or equal to the power supply (discharge) stop threshold value. If the received power value is smaller than the power supply stop threshold, the process proceeds to step S234. On the other hand, when the received power value is equal to or higher than the power supply stop threshold, this step is repeatedly executed, that is, the power supply from the lithium ion battery 15 is continuously executed.

  In step S234, the power supply by the bidirectional inverter 13 is finished, and the discharge (power supply) of the lithium ion battery 15 is finished. In step S236, the bidirectional inverter 13 is stopped.

  As described above in detail, according to the present embodiment, based on the power consumption history and the prediction environment information of the predetermined prediction period, the demand power (demand) in the predetermined prediction period is predicted, and the prediction result The charging / discharging of the lithium ion battery 15 is controlled based on a predetermined threshold value set in advance. Therefore, it is possible to predict the demand power at an arbitrary future time point (predetermined prediction period) and to control the charge / discharge of the lithium ion battery 15 to an appropriate state. As a result, it is possible to optimize the peak of power consumption and the charge / discharge timing of the lithium ion battery 15, and it becomes possible to perform load leveling including the power peak cut more efficiently using the lithium ion battery 15. .

  According to this embodiment, it is necessary to charge the lithium ion battery 15 in anticipation of the destination (for example, if the peak is not predicted tomorrow afternoon, it is not necessary to charge during the lunch break), and the charging is performed. When necessary, it is possible to determine a suitable charging time (timing).

  According to the present embodiment, the demand power is predicted based on the power consumption history (power consumption pattern) of the individual electric devices or the electric device group constituting the electric load. Therefore, demand power (demand) can be predicted based on more detailed and detailed information. Therefore, it becomes possible to improve the prediction accuracy of the demand power in a desired period.

  According to the present embodiment, the power demand for a predetermined prediction period is predicted using the power consumption history stored in association with the environment information having the highest similarity (matching degree). Therefore, it is possible to improve the prediction accuracy of demand power (demand) in a desired period.

  According to the present embodiment, the predicted demand power and the actually measured received power are compared, and the comparison result is learned. Then, in consideration of the learning result, the power demand for a predetermined prediction period is predicted. Therefore, it is possible to further improve the prediction accuracy of demand power (demand) in a desired period. Further, for example, it is possible to flexibly cope with addition / reduction of electrical loads (electrical devices), model / specification changes, and the like.

  According to the present embodiment, the prediction result of the demand power is updated based on the newly acquired predicted environment information (that is, information with higher accuracy). Therefore, for example, it is possible to flexibly cope with updating / changing the predicted environment information (for example, updating / changing weather and temperature forecasts, work plans (operation plans for electrical equipment), etc.). Therefore, it is possible to further improve the prediction accuracy of demand power (demand) in a desired period.

  Moreover, according to the present embodiment, the overall efficiency can be improved by using the lithium ion battery 15 having a high charge / discharge efficiency as the storage battery. By the way, if the lithium ion battery 15 is left in a fully charged state (high potential state) for a long time, the rate at which the electrolytic solution undergoes electrolysis increases, and the deterioration is promoted. Here, in the present embodiment, the lithium ion battery 15 depends on the result of comparison between the stored amount (SOC) of the lithium ion battery 15 and the required discharge amount (peak cut amount) obtained from the predicted demand power (demand). Whether or not 15 charging is necessary is determined. Therefore, it is possible to optimize the storage amount (SOC) of the lithium ion battery 15 while accurately cutting the peak. Therefore, it is possible to suppress the life reduction of the lithium ion battery 15.

  According to the present embodiment, when the average value of the predicted demand power for a predetermined time (for example, 30 minutes) does not exceed a predetermined threshold value, the received power temporarily measured within the predetermined time is Even if the predetermined threshold value is exceeded, discharging of the lithium ion battery 15 is prohibited. Therefore, it is possible to prevent unnecessary discharge of the lithium ion battery 15 while preventing the average value of demand power (demand) from exceeding a predetermined threshold value.

  According to this embodiment, when it is predicted that a plurality (two or more) of power peaks exceeding a predetermined threshold will occur within a predetermined prediction period (for example, tomorrow), the second and subsequent power peaks are calculated. When it is predicted that the storage amount of the lithium ion battery 15 will be insufficient for cutting, the lithium ion battery 15 is charged between the power peak and the next power peak. Therefore, it is possible to appropriately manage charging / discharging of the lithium ion battery 15 while appropriately cutting a plurality of power peaks. In addition, the capacity of the lithium ion battery 15 can be reduced.

  According to the present embodiment, when the predicted required discharge amount (the amount of power required for peak cut) is lower than a predetermined value (for example, about 80% in SOC), the lithium ion battery 15 is charged using nighttime power. Is done. Therefore, it is possible to appropriately adjust the charged amount (SOC) of the lithium ion battery 15, that is, to improve the life by suppressing the deterioration of the lithium ion battery 15, and to use a night charge that has a relatively low electric charge. It is possible to simultaneously charge the ion battery 15.

  On the other hand, according to the present embodiment, when the predicted required discharge amount is higher than a predetermined value (for example, about 80% in SOC), the charging is completed immediately before the electric power is predicted to reach a peak. The lithium ion battery 15 is charged. Therefore, the lithium ion battery 15 is charged so as to be in a fully charged state immediately before the start of discharge in accordance with the time when the demand power (power consumption) of the load is predicted to reach a peak. Therefore, it is possible to suppress the deterioration of the lithium ion battery 15 and improve the life.

[Second Embodiment]
In the first embodiment described above, the bidirectional inverter 13 and the lithium ion battery 15 (string) are provided. It is also possible to adopt a configuration in which the energy generator is connected to the system. Therefore, the configuration of the power load leveling device 2 according to the second embodiment will be described next with reference to FIG. FIG. 4 is a block diagram showing a configuration of the power load leveling device 2. In FIG. 4, the same or equivalent components as those in the first embodiment are denoted by the same reference numerals.

  The power load leveling device 2 is different from the power load leveling device 1 described above in that the power load leveling device 2 further includes a power conditioner 40 and a solar cell 42 (natural energy power generation device) connected to the power conditioner 40. Yes. The solar cell 42 generates electric power according to the amount of light (irradiation amount). The power conditioner 40 has a grid connection function, converts DC power from the solar battery 42 into AC power, and outputs the AC power to the power system 32.

  The power load leveling device 2 is different from the power load leveling device 1 described above in that a system controller 17B is provided instead of the system controller 17. More specifically, the controller 17B replaces the environment information acquisition unit 171, the storage unit 172, the predicted environment information acquisition unit 173, the demand power prediction unit 174, the learning unit 175, and the charge / discharge control unit 176 with an environment information acquisition unit. The system controller 17B is different from the system controller 17B in that it includes a 171B, a storage unit 172B, a predicted environment information acquisition unit 173B, a demand power prediction unit 174B, a learning unit 175B, and a charge / discharge control unit 176B. The other configuration is the same as or similar to that of the power load leveling device 1 described above, and thus detailed description thereof is omitted here.

  The environmental information acquisition unit 171B acquires environmental information that further includes an index value (for example, weather, sunshine duration, solar altitude (irradiation angle)) that has a correlation with the power generation amount of the solar battery 42. The storage unit 172B further stores the history of the power generation amount of the solar cell 42 as the power generation amount history in association with the environmental information.

  The predicted environment information acquisition unit 173B acquires index values (for example, tomorrow's weather, sunshine hours, solar altitude (irradiation angle)) in a predetermined prediction period as predicted environment information. The demand power prediction unit 174B further predicts the power generation amount by the solar cell 42 in the predetermined prediction period (for example, tomorrow) based on the power generation amount history and the prediction environment information of the predetermined prediction period.

  The charge / discharge control unit 176B controls charging / discharging of the lithium ion battery 15 in consideration of the predicted power generation amount. At that time, for example, it is preferable to preferentially charge the lithium ion battery 15 using the power generated by the solar battery 42. However, the power generated by the solar battery 42 may be directly used for peak cut of received power.

  According to the present embodiment, the power load leveling device 2 can be applied to the high-voltage power receiving facility to which the solar cell 42 is connected. In addition, according to the present embodiment, it is possible to perform cooperative control such as supplying the power generated by the solar battery 42 to the lithium ion battery 15.

  In particular, according to the present embodiment, it is possible to predict the amount of power generated by the solar battery 42 and appropriately control charging / discharging of the lithium ion battery 15. Note that the natural energy power generation device is not limited to the solar battery 42, and for example, a wind power generation device or a hydroelectric power generation device may be used.

  Although the embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and various modifications can be made. For example, in the above embodiment, the case where the power load leveling device 1 is applied to a high voltage power receiving facility (cubicle) owned by a customer of a high voltage power receiving contract such as a factory or an office has been described as an example. The leveling device 1 can be applied to peak cut (load leveling) in a general household by making the bidirectional inverter 13 a single phase.

  Moreover, in the said embodiment, although the lithium ion battery was used as a storage battery, it can replace with a lithium ion battery and can also use a lead storage battery, a nickel hydrogen storage battery, a NaS (sodium sulfur) storage battery etc., for example.

  In the above embodiment, the bidirectional inverter 13 is connected after the voltage is dropped by the Tr 29. However, the bidirectional inverter 13 may be connected before the voltage is lowered by the Tr 29 (upstream side).

  In the above embodiment, charging / discharging of the lithium ion battery 15 is controlled based on the prediction result of demand power (demand). However, for example, the operation schedule of the electric device (electric load) is changed according to the prediction result. It may be.

  In the above embodiment, the demand power for an arbitrary period can be predicted. However, the date and time when the maximum received power peak (the peak that determines the electricity rate) occurs in the year is predicted, and the maximum peak is calculated. It is good also as a structure to cut.

  In the first embodiment described above, one bidirectional inverter 13 and a lithium ion battery 15 (string) are used. However, two or more strings, that is, the bidirectional inverter 13 and the lithium ion battery, are used depending on the amount of power to be peak cut. 15 may be adopted.

DESCRIPTION OF SYMBOLS 1, 2 Electric power load leveling apparatus 5 High voltage power receiving equipment 11 Power measuring instrument for receiving points 12 Power measuring instrument for equipment 13 Bidirectional inverter 14 Inverter controller 15 Lithium ion battery (storage battery)
16 BCU
17, 17B System controller 171, 171B Environment information acquisition unit 172, 172B Storage unit 173, 173B Predictive environment information acquisition unit 174, 174B Demand power prediction unit 175, 175B Learning unit 176, 176B Charge / discharge control unit 19 DB server 32 Power system 40 Power conditioner 42 Solar cell (natural energy generator)

Claims (13)

A measuring means for measuring power received from the commercial power system;
A storage battery connected to an electric power system for supplying received electric power to an electric load;
Charge / discharge control means for controlling charge / discharge of the storage battery so that the power measured by the measurement means does not exceed a predetermined threshold value,
Environmental information acquisition means for acquiring environmental information including a plurality of index values correlated with received power;
Storage means for storing the received power history as power consumption history in association with the environmental information;
Predicted environment information acquisition means for acquiring the plurality of index values in a predetermined prediction period as predicted environment information;
Based on the power consumption history and the prediction environment information of a predetermined prediction period, the prediction means for predicting the demand power of the predetermined prediction period,
The charge / discharge control means controls charge / discharge of the storage battery based on the prediction result by the prediction means and the predetermined threshold value.   The charge / discharge control means determines whether or not the storage battery needs to be charged and determines a charging time based on the predicted demand power and a predetermined threshold value. Electric power load leveling device. The storage means stores a power consumption history for each individual electric device or electric device group constituting the electric load,
3. The power load according to claim 1, wherein the prediction unit predicts demand power in the predetermined prediction period based on a power consumption history for each individual electrical device or electrical device group. Leveling device.   The prediction means obtains the similarity between the environment information included in the stored power consumption history and the acquired predicted environment information, and uses the power consumption history corresponding to the environment information having the highest similarity, The power load leveling apparatus according to any one of claims 1 to 3, wherein power demand for the predetermined prediction period is predicted. It further comprises a learning means for comparing the predicted demand power with the actually measured received power and learning the comparison result,
5. The power load leveling apparatus according to claim 1, wherein the prediction unit predicts demand power in the predetermined prediction period in consideration of a learning result by the learning unit. . The predicted environment information acquisition unit acquires the predicted environment information repeatedly,
6. The power load leveling apparatus according to claim 1, wherein the prediction unit updates a prediction result of demand power based on repeatedly acquired prediction environment information.   The charge / discharge control means prohibits charging of the storage battery when the storage amount of the storage battery is larger than the required discharge amount obtained from the predicted demand power, and the storage amount of the storage battery is equal to or less than the required discharge amount. In this case, the storage battery is charged, and the power load leveling device according to claim 1.   8. The power load leveling device according to claim 7, wherein the charge / discharge control means charges the storage battery using nighttime power when the predicted required discharge amount is lower than a predetermined value. .   The charging / discharging control means charges the storage battery so that the charging of the storage battery is completed immediately before the received power is predicted to reach a peak when the predicted required discharge amount is higher than a predetermined value. The power load leveling device according to claim 7 or 8, characterized in that.   When the average value of the predicted demand power for a predetermined time does not exceed a predetermined threshold value, the charge / discharge control means temporarily determines the received power measured within the predetermined time at the predetermined threshold value. The power load leveling device according to any one of claims 1 to 9, wherein discharge of the storage battery is prohibited even if the power exceeds the limit.   The charge / discharge control unit is configured to cut the second and subsequent power peaks when it is predicted that a plurality of power peaks exceeding the predetermined threshold will occur within the predetermined prediction period. 11. The power load leveling according to claim 1, wherein the storage battery is charged between a power peak and a next power peak when it is predicted that the amount of stored power is insufficient. apparatus.   The power load leveling device according to any one of claims 1 to 11, further comprising a natural energy power generation device that is connected to the power system and generates power from natural energy. The environmental information acquisition means acquires environmental information further including an index value having a correlation with the power generation amount of the natural energy power generation device,
The storage means further stores a history of the power generation amount of the natural energy power generation apparatus in association with the environmental information as a power generation amount history,
The predicted environment information acquisition unit acquires the index value in a predetermined prediction period as predicted environment information,
The prediction means further predicts the power generation amount by the natural energy power generation device in the predetermined prediction period based on the power generation amount history and the prediction environment information of the predetermined prediction period,
13. The power load leveling device according to claim 12, wherein the charge / discharge control unit controls charging / discharging of the storage battery in consideration of a power generation amount predicted by the prediction unit.

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