TW202119333A - Electrical energy storage system able to intelligently allocate charging and discharging and control method thereof saving the electricity utilized within the time of critical peak electricity price - Google Patents

Abstract

Disclosed are an electrical energy storage system able to intelligently allocate charging and discharging and a control method thereof. The electricity utilization value of an intelligent electric meter is recorded by a server device to form the electricity utilization data; the server device captures the weather data and electricity price data; future electricity utilization is predicted according to the weather data and the electricity utilization data to generate the electricity consumption prediction data; the server device makes the electricity consumption prediction data correspond to the electricity price data to generate a charging and discharging schedule; commercial power is controlled to charge the energy storage equipment and supply power to a load end within the time of off-peak electricity price according to the charging and discharging schedule, or the energy storage equipment is controlled to supply power to the load end within the time of critical peak electricity price, so that the electricity utilized within the time of critical peak electricity price is saved. Therefore, the charging and discharging of intelligent equipment may be intelligently allocated, so that the flexibility of allocating electricity utilization is improved, and the aim of reducing the electricity price is achieved.

Description

Electric energy storage system capable of intelligently deploying charge and discharge and its control method

The invention relates to an electric energy storage system, in particular to an electric energy storage system capable of intelligently deploying charging and discharging and a control method thereof.

With the rapid development of people's livelihood needs, many residential, commercial stores or factories have been constructed and developed one after another. When the residential, commercial stores or factories are completed, the power supply system will be configured to supply the electricity demand of the residential, commercial stores or factories.

However, seasonal changes make the temperature change accordingly. For example, in summer, because of the high ambient temperature, air-conditioning is turned on in residences, commercial stores or factories, which greatly increases power consumption, especially during the peak power consumption time set by the power company (the highest of the day) When it is warm, or when the electricity company estimates the maximum electricity consumption time), because the peak electricity price is high, the electricity bills of residential, commercial stores or factories will increase, and the electricity consumption of residential, commercial stores or factories will increase greatly. It also led to insufficient power reserve capacity of the power company.

Therefore, at present, residential houses, commercial stores or factories will reduce electricity consumption by themselves at the peak power consumption time set by the power company, but the impact of the environmental climate will cause the residential, commercial stores or factories to be unable to reduce the electricity consumption too much. , Resulting in the ineffective control of electricity costs.

In view of the problems in the above-mentioned current situation, the present invention provides an electric energy storage system that can intelligently deploy charge and discharge and a control method thereof, by providing an energy storage device, and matching weather forecasts according to the past electricity consumption status of residences, commercial stores or factories And electricity price data, plan the energy storage device to provide electricity at the set peak power time, or store electricity at the set off-peak power time, so that the energy storage device can be intelligently deployed during peak time to discharge and off-peak time to charge. In order to improve the flexibility of electricity allocation and achieve the purpose of saving electricity bills.

In order to achieve the above-mentioned purpose, the technical means adopted is to make the aforementioned electric energy storage system capable of intelligently deploying charging and discharging, including: An electricity price database, storing electricity price data, the electricity price data including a peak electricity price time and an off-peak electricity price time; A weather database, storing a weather data; At least one smart meter, respectively used to sense a piece of electricity consumption data; An energy storage device to store or release electricity; A control device, electrically connected to the energy storage device, a mains power supply, and a power supply connection to a load end, the control device is used to switch the power supply path of the mains or the energy storage device; A server device is connected to the electricity price database, the weather database, the smart meters, the energy storage equipment and the control equipment; the server device receives the electricity consumption data and stores an electricity consumption data, the server The server device retrieves the meteorological data and the electricity consumption data to generate an electricity consumption forecast data, and the server device retrieves the electricity price data and generates an off-peak charging schedule and a peak discharge schedule based on the electricity consumption forecast data The server device drives the control device according to the schedule time of the off-peak charging schedule to switch between charging the load and the energy storage device from the mains, or drives the control device according to the schedule time of the peak discharge schedule The switch is powered by the energy storage device to the load end.

Through the above system, it can be known that by referring to the past electricity consumption data and predicted weather data to predict the electricity consumption situation in the future, such as tomorrow, the next day, etc., to obtain the electricity consumption forecast data, and according to the peak and off-peak electricity prices of the electricity price data Time generates the off-peak charging schedule and peak discharge schedule, so that the server device can drive the control device to switch between charging the energy storage device from the mains and the load terminal during the off-peak electricity price time of the off-peak charging schedule Power supply, or at the peak electricity price time of the peak discharge schedule, drive the control device to switch the energy storage device to supply power to the load end, so that the energy storage device can be intelligently deployed to discharge during peak electricity prices and charge off-peak electricity prices. Improve the flexibility of electricity allocation and achieve the purpose of saving electricity bills.

Another technical method adopted to achieve the above-mentioned purpose is to make the aforementioned power storage control method capable of intelligently deploying charging and discharging. A server device connects an energy storage device and a control device, and the server device executes the following step: Acquire a weather data and an electricity price data, the electricity price data includes a peak electricity price time and an off-peak electricity price time; Generate an electricity consumption forecast data based on the meteorological data and a stored electricity consumption data; Compare the electricity consumption forecast data with the electricity price data to generate an off-peak charging schedule and a peak discharge schedule; Judge whether the scheduling time of the peak discharge time is reached; If yes, drive the control device to switch the energy storage device to supply power to a load terminal according to the peak discharge time; If not, according to the off-peak charging schedule, the control device is driven to switch between charging the energy storage device by a mains and supplying power to the load.

According to the above method, we can refer to past electricity consumption data and predicted weather data to predict electricity consumption in the future, such as tomorrow, the day after tomorrow, etc., to obtain the electricity consumption forecast data, and generate the off-peak charging schedule and schedule based on the electricity price data. The peak discharge schedule enables the server device to drive the control device to switch between charging the energy storage device from the mains and supply power to the load at the off-peak electricity price time of the off-peak charging schedule, or schedule the peak discharge During the peak electricity price time, the control device is driven to switch the energy storage device to supply power to the load end, thereby intelligently deploying the energy storage device to discharge during the peak electricity price time and charge during the off-peak electricity price time, so as to improve the flexibility of electricity allocation and achieve savings The purpose of the electricity bill.

Regarding the preferred embodiment of the electric energy storage system capable of intelligently deploying charging and discharging of the present invention, please refer to FIG. 1. The present invention can be applied to residential buildings, factories, commercial buildings and other places, but is not limited to this. The power energy storage system includes a server device 11, at least one smart meter 12, a control device 13, and an energy storage device 14. The present embodiment may include a plurality of smart meters 12; the control device 13 is electrically connected to a load terminal 15 , A mains 16, the energy storage device 14 and the server device 11; the server device 11 connects to the energy storage device 14, the smart meters 12, an electricity price database 17 and a weather database 18 for data Transmission, where the server device 11 can be a server device set locally and connected to the control device 13, the smart meters 12, and the energy storage device 14 through a wired line or a wireless network, and the server device 11 It can also be a server device that is set remotely and connects the control device 13, the smart meters 12, and the energy storage device 14 through the network. The server device 11 is connected to the electricity price database 17 through the network. And the weather database 18; the electricity price database 17 can be a database on the website of Taiwan Electric Power Company; the weather database 18 is a database of the Meteorological Bureau; the load end 15 can be an electric load such as electric lights, elevators, etc. Electrical equipment; the control device 13 may be a power switching control device; the energy storage device 14 may be a power storage group such as a super capacitor, a lithium battery, and so on.

The smart meters 12 are used to measure the power consumption of the user, and send a power consumption data to the server device 11, the server device 11 stores the power consumption data as a power consumption data, and the server device 11 is connected Wire to the weather database 18 to retrieve weather data. The weather data is used by the Bureau of Meteorology to predict future weather based on the weather data to generate future weather forecast data, including information such as temperature, wind volume, humidity, and rain conditions; the server The device 11 is connected to the electricity price database 17 to retrieve electricity price data, which includes a peak electricity price time and an off-peak electricity price time. Off-peak electricity price time, weekdays (Monday to Friday) 00:00~07:30 and 22:30~24:00 are off-peak electricity price time, which is the peak electricity price time and other information, and the off-peak electricity price Enjoy electricity price discounts when you use electricity at time.

The control device 13 is used to switch the power supply path of the energy storage device 14 or the mains 16; the server device 11 continuously captures a power capacity value of the energy storage device 14, the power capacity value is the energy storage device 14 The real-time power storage is used to confirm the current power storage of the energy storage device 14.

The following will give an example of how the power storage control system of the present invention intelligently allocates charge and discharge. For example, when the server device 11 predicts the power consumption of the load end 15 on November 28 (Tuesday) on November 27, According to the future weather forecast data and the electricity consumption data, an electricity consumption forecast data is generated, where the future weather forecast data includes the possible weather conditions predicted in advance on November 28, and the electricity consumption data includes electricity consumption conditions over the years, thereby It is possible to predict in advance the possible power consumption status of the load terminal 15 in different time periods of 11/28.

The server device 11 compares the electricity price data with the electricity consumption forecast data to generate an off-peak charging schedule and a peak discharge schedule, where, for example, from 00:00 to 07:30 on November 28 And 22:30~24:00 is the off-peak electricity price time, 07:30~22:30 is the peak electricity price time, so the peak discharge schedule includes 07:30~22:30, the off-peak charging schedule Time includes 00:00~07:30 and 22:30~24:00.

When the time reaches November 28, the server device 11 determines whether the current time is the schedule time of the spike discharge schedule, and the server device 11 sends a first control signal to the control device 13 to drive the control device 13 Switch the power supply path by the energy storage device 14 via the control device 13 to supply power to the load terminal 15 and cut off the path from the mains 16 to the load 15 so that the mains 16 will not supply power to the load 15; If the server device 11 determines that the current time is the off-peak charging schedule, the server device 11 sends a second control signal to the control device 13 to drive the control device 13 to switch to the load terminal 15 The mains power 16 charges the energy storage device 14 through the control device 13 and supplies power to the load terminal 15, so that the energy storage device 14 can be charged during off-peak electricity rates to ensure sufficient power storage; the server The device 11 continuously captures a power capacity value of the energy storage device 14 during the peak discharge schedule or the off-peak charging schedule within the schedule time, and determines whether the power capacity value is lower than the lower limit. To confirm the power storage status of the energy storage device 14 at any time.

For example, when the current time is within the time of the peak discharge schedule, the server device 11 will retrieve the power capacity value of the energy storage device 14, and determine that it is lower than the lower limit according to the received power capacity value , Representing that the power storage of the energy storage device 14 is about to be exhausted, the server device 11 drives the control device 13 to switch the power supply to the load terminal 15 from the mains 16 and stops the energy storage device 14 to supply power to the load terminal 15. Until the current time enters the off-peak charging schedule, the server device 11 does not enter the off-peak charging schedule, and drives the control device 13 to switch the power supply from the mains 16 to the load terminal 15. The energy storage device 14 is charged.

When it is recorded in the power consumption forecast data that the load terminal 15 has at least a period of maximum power consumption time exceeding a maximum contract power consumption within the schedule time of the off-peak charging schedule, the server device 11 When the current time reaches the maximum power consumption time, the control device 13 is driven to switch the energy storage device 14 and the mains 16 to supply power to the load terminal 15 at the same time, so that the energy storage device 14 can provide more than the maximum power consumption time. The contracted power consumption is given to the load terminal 15 to reduce the use of electricity; it should be noted that when the power capacity value of the energy storage device 14 during the maximum power consumption period is lower than the lower limit, the servo The device device 11 drives the control device 13 to switch between charging the energy storage device 14 by the mains 16 and supplying power to the load terminal 15 until the server device 11 determines that the power capacity value of the energy storage device 14 is restored to a power capacity setting Value, the server device 11 confirms whether the current time is within the schedule time of the peak discharge schedule, if not, it continues to confirm whether it is still within the maximum power consumption period, if so, the server device 11 drives the The control device 13 switches over to supply power to the load terminal 15 from the energy storage device 14 and the mains 16; otherwise, the energy storage device 14 is allowed to continue charging until the current time enters the schedule time of the discharge schedule, or enters the next A period of maximum power consumption.

The server device 14 predicts the electricity consumption forecast data of the next day or the future time at a specific time of each day, and intelligently allocates the off-peak electricity price time of the power storage system of the present invention on the next day, and the mains 16 pairs The load end 15 supplies power and charges the energy storage device 14, so that the electricity can be stored first when the electricity price is discounted, and the energy storage device 14 supplies power to the load end 15 during the peak electricity price time, so as to save on peak electricity prices. At the time of the electricity price, the price difference supplied by the mains electricity can be used to intelligently deploy the energy storage device 14 to discharge during the peak electricity price time and charge during the off-peak electricity price time, so as to improve the flexibility of power allocation and achieve the purpose of saving electricity costs.

The following describes how to calculate the price difference between the mains 16 and the energy storage device 14 power supply: the server device 11 records the power capacity value that the energy storage device 14 provides to the load terminal 15 within the schedule time of the peak discharge schedule , And after subtracting the off-peak electricity price from the peak electricity price, then multiplying it by the power capacity value provided by the energy storage device 14 during the peak discharge schedule, you can get a cost saving of the saved price difference According to the foregoing content, the following formula can be sorted out: Cost saving value=(peak electricity price-off-peak electricity price)×the power capacity value provided by the energy storage device 14 during the scheduled time of the peak discharge schedule.

According to the cost saving value obtained from the saved spread, the following will explain how to return the cost saving value to the user: the server device 11 stores a user classification data, specifically, the user classification data is applied according to the present invention The premises are pre-established. If it is used in a residential building, it will be classified according to the number of homes to generate user classification data of different numbers of flats. The server device 11 is based on the electricity consumption data of each user in the user classification data. A regression line analysis method is summarized to generate a user-categorized power ranking data sorted according to the amount of power consumption. The server device 11 generates a fee feedback data based on the cost saving value and the user-categorized power ranking data, thereby, Each user in different user categories is given a cost-saving feedback according to the power usage status. In principle, the higher the power consumption ranking, the lower the cost-saving rewards, and the lower the power consumption ranking, the higher the cost-saving rewards .

In another preferred embodiment of the present invention, please refer to FIG. 2, which further includes a management terminal electronic device 19, which is connected to the server device 11, and the management terminal electronic device 19 can It is a desktop computer, a notebook computer, a smart phone or a tablet computer. The management terminal electronic device 19 logs in to the server device 11 to query the power consumption data, the power consumption forecast data, and the The schedule time of the peak discharge schedule, the schedule time of the off-peak charging schedule, the user classification data, the user classification power ranking data, or the cost saving value.

Based on the above content, a power storage control method that can intelligently deploy charging and discharging can be further summarized. Please refer to FIG. 3, where the server device 11 executes the following steps: Acquire meteorological data from the meteorological database 18 and electricity price data from the database 17, the electricity price data including a peak electricity price time and an off-peak electricity price time (S30); Generate the electricity consumption forecast data based on the meteorological data and the stored electricity consumption data (S40); Compare the electricity consumption forecast data with the electricity price data to generate the off-peak charging schedule and the peak discharge schedule (S50); Determine whether the current time reaches the scheduled time of the peak discharge time (S60); If yes, drive the control device 13 to switch power to the load terminal 15 by the energy storage device 14 according to the peak discharge time (S70); If not, according to the off-peak charging schedule, the control device 13 is driven to switch between charging the energy storage device 14 by the mains 16 and supplying power to the load terminal 15 (S80).

Please refer to FIG. 4, when the above step is performed to "if yes, drive the control device 13 to switch power from the energy storage device 14 to the load terminal 15 according to the peak discharge time (S70)", further including the following steps : The control device 13 is driven to switch the power supply path and the energy storage device 14 supplies power to the load terminal 15 (S71), and cuts off the power supply path of the city power 16 to the load terminal 15 to stop the city power 16 from the load terminal 15 powered by; Determine whether the power capacity value of the energy storage device 14 is lower than the lower limit (S72); If yes, determine whether the current time reaches the off-peak charging schedule time (S73); If not, go back to the step of "driving the control device 13 to switch the power supply path and supplying power to the load terminal 15 by the energy storage device 14 (S71)"; If yes, proceed to the step of "driving the control device 13 according to the off-peak charging schedule to switch between charging the energy storage device 14 from the mains 16 and powering the load 15 (S80)"; If not, drive the control device 13 to switch the power supply from the mains 16 to the load terminal 15 and cut off the power supply path of the energy storage device 14 to the load terminal 15 to stop the energy storage device 14 from the load terminal 15 Supply power (S74), and return to the step of "determining whether the current time has reached the off-peak charging schedule (S73)" step.

Please refer to FIG. 5, when the above execution reaches "If not, drive the control device 13 according to the off-peak charging schedule to switch between the mains 16 to charge the energy storage device 14 and the load terminal 15 to supply power (S80)" Steps include the following sub-steps: Determine whether the electricity consumption forecast data records at least a period of maximum electricity consumption time (S81); If yes, judge whether the current time is within the maximum power consumption period (S82); If yes, drive the control device 13 to switch to supply power to the load terminal 15 by the mains 16 and the energy storage device 14 (S83); Determine whether the power capacity value of the energy storage device 14 is lower than the lower limit (S84); If yes, the control device 13 is driven to switch between charging the energy storage device 14 by the mains 16 and supplying power to the load terminal 15 (S85); specifically, cut off the energy storage device 14 to supply power to the load terminal 15 And switch the power supply path of the mains 16 to connect the energy storage device 14 and the load terminal 15, so as to charge the energy storage device 14 and supply power to the load terminal 15; Determine whether the power capacity value of the energy storage device 14 reaches the power capacity setting value (S86); If yes, judge whether the current time reaches the scheduled time of the peak discharge schedule (S87); If yes, proceed to the step of “driving the control device 13 to switch power to the load terminal 15 by the energy storage device 14 according to the peak discharge time (S70)”; When the above execution reaches the step of "determining whether there is at least a period of maximum power consumption time (S81) recorded in the power consumption forecast data", if not, the control device 13 is driven to switch to the mains 16 to charge the energy storage device 14 and Supply power to the load terminal 15 (S88), and return to the step of "determining whether the current time reaches the scheduling time of the peak discharge time (S60)"; When the above execution reaches the step of "determining whether the current time is within the maximum power consumption time (S82)", if not, execute the above "driving the control device 13 to switch the energy storage device 14 by the mains 16 and charging the energy storage device 14). Power the load terminal 15 (S85)" step; When the above execution reaches the step of "determine whether the power capacity value of the energy storage device 14 is lower than the lower limit (S84)", if not, return to "drive the control device 13 to switch between the mains 16 and the energy storage The device 14 supplies power to the load terminal 15 (S83)" step; When the above execution reaches the step of "determining whether the power capacity value of the energy storage device 14 reaches the power capacity setting value (S86)", if not, return to "driving the control device 13 to switch from the mains 16 to the energy storage Charge the device 14 and supply power to the load terminal 15 (S85)" step; When the above execution reaches the step of "determine whether the current time has reached the peak discharge schedule (S87)" step, if not, return to the above "determine whether the current time is within the maximum power consumption time (S82)" "step.

11: Server device 12: Smart meter 13: Control equipment 14: Energy storage equipment 15: Load end 16: Mains 17: Electricity Price Database 18: Meteorological database 19: Management terminal electronic device

Figure 1: A block diagram of the system architecture of the preferred embodiment of the present invention. Figure 2: A block diagram of the system architecture of another preferred embodiment of the present invention. Figure 3: A flowchart of the first method of a preferred embodiment of the present invention. Figure 4: A flowchart of the second method of the preferred embodiment of the present invention. Fig. 5: A flowchart of the third method of the preferred embodiment of the present invention.

11: Server device

12: Smart meter

13: Control equipment

14: Energy storage equipment

15: Load end

16: Mains

17: Electricity Price Database

18: Meteorological database

Claims (10)

A power storage system capable of intelligently deploying charge and discharge, including: An electricity price database, storing electricity price data, the electricity price data including a peak electricity price time and an off-peak electricity price time; A weather database, storing a weather data; At least one smart meter, respectively used to sense a piece of electricity consumption data; An energy storage device to store or release electricity; A control device, electrically connected to the energy storage device, a mains power supply, and a power supply connection to a load end, the control device is used to switch the power supply path of the mains or the energy storage device; A server device is connected to the electricity price database, the weather database, the smart meters, the energy storage equipment and the control equipment; the server device receives the electricity consumption data and stores an electricity consumption data, the server The server device retrieves the meteorological data and the electricity consumption data to generate an electricity consumption forecast data, and the server device retrieves the electricity price data and generates an off-peak charging schedule and a peak discharge schedule based on the electricity consumption forecast data The server device drives the control device according to the schedule time of the off-peak charging schedule to switch between charging the load and the energy storage device from the mains, or drives the control device according to the schedule time of the peak discharge schedule The switch is powered by the energy storage device to the load end. The power energy storage system capable of intelligently deploying charging and discharging as described in claim 1, wherein, within the scheduling time of the peak discharge schedule, if the server device retrieves a power capacity value of the energy storage device and determines If the value is less than the lower limit, the server device drives the control device to switch the power supply from the mains to the load terminal, and stops the energy storage device power supply, until the server device confirms that the current time enters the off-peak charging schedule schedule time , The control device is driven to switch the power supply to the load end by the mains power, and the energy storage device is charged. The electric energy storage system capable of intelligently deploying charging and discharging as described in claim 2, wherein, within the schedule time of the off-peak charging schedule, the server device confirms that at least one period of maximum is recorded in the power consumption forecast data During the power consumption time, the power consumption of the load exceeds a maximum contract power, and when the time reaches the maximum power consumption time, the server device drives the control device to switch between the energy storage device and the mains power to the load at the same time. If the server device determines that the power capacity value of the energy storage device during the maximum power consumption period is less than the lower limit, the server device drives the control device to switch the power supply to the load from the mains and Charge the energy storage device until the server device confirms that the power capacity value of the energy storage device is restored to a power capacity setting value. The server device confirms that the current time does not enter the peak discharge schedule schedule time, and During this period of maximum power consumption time, the control device is driven to switch to supply power to the load end by the energy storage device and the mains at the same time. The power energy storage system capable of intelligently deploying charge and discharge according to claim 3, wherein the server device records the power capacity value provided by the energy storage device to the load during the peak discharge schedule, The server device subtracts an off-peak electricity price from a peak electricity price of the electricity price data, and multiplies it by the power capacity value provided by the energy storage device to the load during the peak discharge schedule to generate a fee Save value. The electric energy storage system capable of intelligently deploying charging and discharging according to claim 1, wherein the server device generates a user classification sorted according to power consumption by a regression line analysis method according to stored user classification data Power ranking data, the server device generates a fee feedback data according to the cost savings value and the user's classified power ranking data. The power energy storage system capable of intelligently deploying charging and discharging according to claim 5, which further includes a management terminal electronic device connected to the server device to query the power consumption data and the power consumption The amount of forecast data, the schedule time of peak discharge schedule, the schedule time of off-peak charging schedule, the user classification data, the user classification power ranking data, or the cost saving value. A power storage control method capable of intelligently deploying charging and discharging. A server device connects an energy storage device and a control device, and the server device executes the following steps: Acquire a weather data and an electricity price data, the electricity price data includes a peak electricity price time and an off-peak electricity price time; Generate an electricity consumption forecast data based on the meteorological data and a stored electricity consumption data; Compare the electricity consumption forecast data with the electricity price data to generate an off-peak charging schedule and a peak discharge schedule; Judge whether the scheduling time of the peak discharge time is reached; If yes, drive the control device to switch the energy storage device to supply power to a load terminal according to the peak discharge time; If not, according to the off-peak charging schedule, the control device is driven to switch between charging the energy storage device by a mains and supplying power to the load. The power storage control method capable of intelligently deploying charging and discharging according to claim 7, wherein, when the above execution reaches if yes, the control device is driven according to the peak discharge time to switch the step of supplying power from the energy storage device to the load end At the time, it also includes the following steps: Drive the control device to switch the power supply path by the energy storage device to supply power to the load end, and stop the mains power supply to the load end; Determine whether a power capacity value of the energy storage device is lower than the lower limit; If yes, judge whether the current time reaches the off-peak charging schedule time; If not, return to the aforementioned step of driving the control device to switch the power supply path and supplying power to the load end by the energy storage device; If yes, proceed to the step of driving the control device to switch between charging the energy storage device from the mains and supplying power to the load according to the off-peak charging schedule; If not, drive the control device to switch the power supply from the mains to the load terminal, stop the energy storage device from supplying power to the load terminal, and return to the aforementioned time step of judging whether the current time reaches the off-peak charging schedule. The power storage control method capable of intelligently deploying charging and discharging as described in claim 8, wherein, when the above is executed, if not, the control device is driven according to the off-peak charging schedule to switch the power storage device to be charged by the mains And the step of supplying power at the load end includes the following sub-steps: Determine whether the electricity consumption forecast data records at least a period of maximum electricity consumption time; If yes, judge whether the current time is within the period of maximum power consumption; If yes, drive the control device to switch to supply power to the load by the mains and the energy storage device; Determine whether the power capacity value of the energy storage device is lower than the lower limit; If yes, drive the control device to switch between charging the energy storage device by the city power and supplying power to the load end; Judging whether the power capacity value of the energy storage device reaches a power capacity setting value; If yes, judge whether the current time reaches the scheduled time of the peak discharge schedule; If yes, proceed to the step of driving the control device to switch power supply to the load terminal by the energy storage device according to the peak discharge time; When the above is executed to determine whether the power consumption forecast data has recorded at least a period of maximum power consumption time (in the step, if not, the control device is driven to switch between charging the energy storage device by the mains and supplying power to the load end, and Return to the above-mentioned scheduling time step of judging whether the current time reaches the peak discharge time; When the above step is performed to determine whether the current time is within the maximum power consumption time period, if not, the above step of driving the control device to switch to charging the energy storage device by the city power and supplying power to the load is performed; When the above execution reaches the step of judging whether the power capacity value of the energy storage device is lower than the lower limit value, if not, return to the step of driving the control device to switch the power supply from the mains and the energy storage device to the load end; When the above execution reaches the step of judging whether the power capacity value of the energy storage device reaches the power capacity setting value, if not, then return to "Drive the control device to switch the energy storage device from the mains and supply power to the load. step; When the above step is performed to determine whether the current time reaches the schedule time of the peak discharge schedule", if not, return to the above step of determining whether the current time is within the maximum power consumption time. The power storage control method capable of intelligently deploying charging and discharging as described in claim 9, wherein: The server device records the power capacity value that the energy storage device provides to the load during the peak discharge schedule. After the server device subtracts an off-peak power price from a peak power price of the power price data, Multiply the power capacity value provided by the energy storage device to the load during the peak discharge schedule to generate a cost saving value; The server device uses a regression line analysis method according to the stored user classification data to generate a user classification power ranking data sorted according to the amount of power consumption, and the server device generates the user classification power ranking data according to the cost saving value and the user classification power ranking data , Generate a cost feedback data.

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