Energy storage method, device and peak-valley arbitrage method applicable to 5G base stations

Abstract

The present disclosure provides an energy storage method, device and peak-valley arbitrage method applicable to 5G base stations. The method includes: receiving a dispatch instruction issued by a virtual power plant, and determining the type of the dispatch instruction; wherein the types of the dispatch instruction include peak shaving instructions and valley filling instructions, the peak shaving instructions carry discharge end time information, and the valley filling instructions carry charging end time information; if the dispatch instruction is a peak shaving instruction, the energy storage battery is controlled to start discharging to offset the power consumption of the base station; detect whether the current SOC value of the energy storage battery is lower than the minimum preset threshold of the energy storage battery; if the current SOC value of the energy storage battery is not lower than the minimum preset threshold of the energy storage battery, detect whether the discharge end time information reaches the preset discharge time threshold of the energy storage battery; if the discharge end time information reaches the preset discharge time threshold of the energy storage battery, end the discharge. The method provided by the present disclosure can solve the problem of low utilization of the current backup battery.

Description

Technical Field

[0001] The present disclosure relates to the field of 5G base station energy storage technology, and in particular to an energy storage method, device and peak-valley arbitrage method applicable to 5G base stations. Background Art

[0002] At present, domestic 5G base stations have problems with large power consumption and high electricity costs, resulting in excessively high operating costs and reduced profits. At the same time, the backup batteries have a low utilization rate due to the low frequency of use (only used in unexpected power outages). Summary of the invention

[0003] The purpose of the present disclosure is to overcome the shortcomings of the prior art and to provide an energy storage method, device and peak-valley arbitrage method suitable for 5G base stations, which can solve the problem of low utilization rate of current backup batteries.

[0004] According to a first aspect of an embodiment of the present disclosure, there is provided an energy storage method applicable to a 5G base station, which is applied to an intelligent gateway. The method includes:

[0005] Receive a dispatch instruction issued by a virtual power plant, and determine the type of the dispatch instruction; wherein the type of the dispatch instruction includes a peak shaving instruction and a valley filling instruction, the peak shaving instruction carries discharge end time information, and the valley filling instruction carries charging end time information;

[0006] If the dispatch instruction is a peak shaving instruction, the energy storage battery is controlled to start discharging to offset the power consumption of the base station;

[0007] Detecting whether the current SOC value of the energy storage battery is lower than a minimum preset threshold value of the energy storage battery;

[0008] If the current SOC value of the energy storage battery is not lower than the lowest preset threshold value of the energy storage battery, detecting whether the discharge end time information reaches the preset discharge time threshold value of the energy storage battery;

[0009] If the discharge end time information reaches the preset discharge time threshold of the energy storage battery, the discharge is terminated.

[0010] In one embodiment, the method comprises:

[0011] If the current SOC value of the energy storage battery is lower than the lowest preset threshold value of the energy storage battery, the discharge is terminated.

[0012] In one embodiment, the method comprises:

[0013] If the discharge end time information does not reach the preset discharge time threshold of the energy storage battery, the process returns to re-detect whether the current SOC value of the energy storage battery is lower than the lowest preset threshold of the energy storage battery.

[0014] In one embodiment, the method comprises:

[0015] If the dispatch instruction is a valley filling instruction, the energy storage battery is controlled to start charging to increase the power consumption of the base station;

[0016] Detect whether the current SOC value of the energy storage battery reaches the maximum preset threshold value of the energy storage battery;

[0017] If the current SOC value of the energy storage battery does not reach the maximum preset threshold value of the energy storage battery, detecting whether the charging end time information reaches the preset charging time threshold value of the energy storage battery;

[0018] If the charging end time information reaches the preset charging time threshold of the energy storage battery, the charging is terminated.

[0019] In one embodiment, the method comprises:

[0020] If the current SOC value of the energy storage battery reaches the maximum preset threshold of the energy storage battery, charging is terminated.

[0021] In one embodiment, the method comprises:

[0022] If the charging end time information does not reach the preset charging time threshold of the energy storage battery, the process returns to re-detect whether the current SOC value of the energy storage battery reaches the maximum preset threshold of the energy storage battery.

[0023] According to a second aspect of an embodiment of the present disclosure, a peak-valley arbitrage method for an energy storage device is provided, the method comprising:

[0024] Detecting whether the first time information reaches the preset charging start time;

[0025] If the first time information reaches the preset charging start time, charging starts, and the SOC value of the smart battery is detected to see whether it reaches the maximum preset threshold value of the energy storage battery;

[0026] If the SOC value of the smart battery does not reach the maximum preset threshold value of the energy storage battery, then detect whether the second time information reaches the preset charging end time; wherein the second time information is separated from the first time information by a first preset time period;

[0027] If the second time information reaches the preset charging end time, the charging is terminated, and the third time information is detected to see whether it reaches the preset discharging start time; wherein the third time information is separated from the second time information by a second preset time period;

[0028] If the third time information reaches the preset discharge start time, discharge starts, and detects whether the SOC value of the smart battery is lower than the minimum preset threshold value of the energy storage battery;

[0029] If the SOC value of the smart battery is not lower than the lowest preset threshold value of the energy storage battery, then detecting whether the fourth time information reaches the preset discharge end time; wherein the fourth time information is separated from the third time information by a third preset time period;

[0030] If the fourth time information reaches the preset discharge end time, the discharge is ended.

[0031] In one embodiment, the method comprises:

[0032] If the SOC value of the smart battery reaches the maximum preset threshold of the energy storage battery, charging is terminated.

[0033] In one embodiment, the method comprises:

[0034] If the second time information does not reach the preset charging end time, the method returns to re-detect whether the SOC value of the smart battery reaches the maximum preset threshold value of the energy storage battery.

[0035] According to a third aspect of an embodiment of the present disclosure, there is provided an energy storage device applicable to a 5G base station, the energy storage device comprising a bidirectional meter, a DC-DC converter, an energy storage battery, an intelligent gateway, an environmental sensor and an intelligent monitoring system; wherein,

[0036] The bidirectional meter is electrically connected to the busbar of the base station power cabinet, the DC-DC converter is electrically connected to the bidirectional meter, and the energy storage battery is electrically connected to the DC-DC converter;

[0037] The bidirectional meter, the DC-DC converter, the energy storage battery and the environmental sensor are all communicatively connected to the intelligent gateway, the intelligent gateway is electrically connected to the gateway backup power supply system, the gateway backup power supply system is electrically connected to the intelligent monitoring system, and the intelligent monitoring system power supply circuit breaker is electrically connected to the AC-DC power converter of the base station power cabinet.

[0038] The energy storage method for 5G base stations provided in the embodiments of the present disclosure utilizes the peak and valley electricity prices of the power grid to charge and discharge energy storage, obtain revenue, and reduce the electricity bill of the 5G base station. At the same time, it can receive the dispatch of the virtual power plant to smooth the peak and fill the valley of the power grid (charge when more electricity is needed, and discharge when less electricity is needed), obtain revenue from the auxiliary service market, and further reduce the electricity bill. Secondly, the energy storage method for 5G base stations provided in the embodiments of the present disclosure can remove the original backup power system and use the base station energy storage device as the backup power system, thereby reducing the operation and maintenance workload of the 5G base station and the cost of replacing batteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0040] Figure 1 A schematic diagram of an energy storage device applicable to a 5G base station provided in an embodiment of the present disclosure;

[0041] Figure 2 A wiring diagram of an energy storage device applicable to a 5G base station provided in an embodiment of the present disclosure;

[0042] Figure 3 A flow chart of an energy storage method applicable to a 5G base station provided in an embodiment of the present disclosure;

[0043] Figure 4 A flow chart of an energy storage method applicable to a 5G base station provided in an embodiment of the present disclosure;

[0044] Figure 5 A peak shaving and valley filling charging and discharging logic diagram applicable to a 5G base station provided in an embodiment of the present disclosure;

[0045] Figure 6 A flow chart of a peak-valley arbitrage method for an energy storage device provided in an embodiment of the present disclosure;

[0046] Figure 7 A peak-valley arbitrage charging and discharging logic diagram of an energy storage device provided in an embodiment of the present disclosure;

[0047] Figure 8 A backup power charging and discharging logic diagram of the energy storage device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0048] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0049] Figure 1 The schematic diagram of the energy storage device applicable to a 5G base station provided in the embodiment of the present disclosure. Figure 1 As shown, the energy storage device includes a bidirectional meter, a DC-DC converter, an energy storage battery, an intelligent gateway, an environmental sensor and an intelligent monitoring system; wherein the bidirectional meter is electrically connected to the busbar of the base station power cabinet, the DC-DC converter is electrically connected to the bidirectional meter, and the energy storage battery is electrically connected to the DC-DC converter; the bidirectional meter, the DC-DC converter, the energy storage battery and the environmental sensor are all communicatively connected to the intelligent gateway, the intelligent gateway is electrically connected to the gateway backup power system, the gateway backup power system is electrically connected to the intelligent monitoring system, and the power supply circuit breaker of the intelligent monitoring system is electrically connected to the AC-DC power converter of the base station power cabinet.

[0050] In the energy storage device for 5G base stations provided in the embodiments of the present disclosure, a DC 48V wiring method is used to power the key electrical equipment of the base station. The device is connected to the 48V bus of the base station, and the peak and valley electricity prices of the power grid are used to charge and discharge the energy storage to obtain revenue, so as to reduce the electricity cost of the 5G base station. At the same time, the base station energy storage device can receive the dispatch of the virtual power plant, and perform peak shaving and valley filling on the power grid (charging when more electricity is needed, and discharging when less electricity is needed), obtain revenue from the auxiliary service market, and further reduce the electricity cost. Secondly, in the energy storage device for 5G base stations provided in the embodiments of the present disclosure, the original backup power system can be removed, and the base station energy storage device can be used as the backup power system, which can reduce the operation and maintenance workload of the 5G base station and the cost of replacing batteries.

[0051] Figure 2 A wiring diagram of an energy storage device suitable for a 5G base station provided in an embodiment of the present disclosure.

[0052] In the disclosed embodiment, the intelligent monitoring system senses the status of the base station power system and the backup power system through sensors. The energy storage monitoring system supports high-precision metering of charging and discharging, and calculates arbitrage income in real time based on peak, valley and flat electricity prices and electricity price subsidy policies, as well as issues of concern to users such as the return on investment cycle; at the same time, the electrical parameters and status parameters of the power system and energy storage system can be understood in real time through the sensing sensors, allowing users to intuitively understand the current status of the entire power supply and energy storage system.

[0053] It should be noted that in the present disclosure, taking safety factors into consideration, the energy storage system is equipped with an aerosol fire extinguishing system. For the thermal management of the energy storage system, in addition to configuring an air cooling system, it also supports dynamic environment control of the energy storage system to ensure the energy storage utilization efficiency of the battery compartment under extremely cold conditions.

[0054] The base station energy storage cabinet in this embodiment mainly performs three tasks: peak-valley arbitrage, peak-shaving and valley-filling arbitrage, and backup power replacement.

[0055] The working logic of peak shaving and valley filling arbitrage is that the virtual power plant issues a dispatch instruction, the intelligent gateway parses the instruction after receiving it, and then sends the instruction to the base station energy storage device. The energy storage device decides whether to discharge or charge based on the instruction received.

[0056] Backup power replacement, the energy storage cabinet monitors the system voltage. When it detects that the system loses power, it starts discharging to supply the key equipment of the base station. When it detects that the system is receiving power, the discharging stops.

[0057] The energy storage method applicable to 5G base stations provided in an embodiment of the present disclosure will be described in detail below.

[0058] Figure 3 Flow chart of the energy storage method applicable to 5G base stations provided in the embodiment of the present disclosure. Figure 3 As shown, the method includes:

[0059] Step 301: receiving a dispatch instruction issued by a virtual power plant, and determining the type of the dispatch instruction; wherein the type of the dispatch instruction includes a peak shaving instruction and a valley filling instruction, wherein the peak shaving instruction carries discharge end time information, and the valley filling instruction carries charging end time information;

[0060] In this step, the intelligent gateway receives the dispatch instruction issued by the virtual power plant, and determines whether the type of the dispatch instruction is a peak shaving instruction or a valley filling instruction. The peak shaving instruction carries the discharge end time information, and the valley filling instruction carries the charging end time information. The intelligent gateway can respond accordingly according to the type of the dispatch instruction and the corresponding time information carried by the dispatch instruction.

[0061] Specifically, after receiving the dispatch instruction, the intelligent gateway parses the dispatch instruction, and then sends the parsed dispatch instruction to the base station energy storage device. The base station energy storage device decides whether to charge or discharge according to the type of dispatch instruction received.

[0062] Step 302: If the scheduling instruction is a peak shaving instruction, the energy storage battery is controlled to start discharging to offset the power consumption of the base station;

[0063] In this step, if the intelligent gateway determines that the type of the scheduling instruction is a peak shaving instruction, a discharge instruction is sent to the energy storage battery to control the energy storage battery to start discharging through the discharge instruction to offset the power consumption of the base station.

[0064] Step 303: Detect whether the current SOC value of the energy storage battery is lower than the minimum preset threshold value of the energy storage battery;

[0065] In this step, the intelligent gateway detects whether the current SOC value of the energy storage battery is lower than the minimum preset threshold of the energy storage battery, and the minimum preset threshold may be 5% of the rated capacity of the energy storage battery.

[0066] Step 304: If the current SOC value of the energy storage battery is not lower than the lowest preset threshold value of the energy storage battery, then detecting whether the discharge end time information reaches the preset discharge time threshold value of the energy storage battery;

[0067] In this step, if the smart gateway determines that the current SOC value of the energy storage battery is not lower than the minimum preset threshold of the energy storage battery, it is necessary to further detect whether the discharge end time information reaches the preset discharge time threshold of the energy storage battery.

[0068] In one embodiment, the method comprises:

[0069] If the current SOC value of the energy storage battery is lower than the lowest preset threshold value of the energy storage battery, the discharge is terminated.

[0070] In this embodiment, if the intelligent gateway determines that the current SOC value of the energy storage battery is lower than the minimum preset threshold value of the energy storage battery, the intelligent gateway will control the energy storage battery to end discharging.

[0071] Step 305: If the discharge end time information reaches the preset discharge time threshold of the energy storage battery, the discharge is ended.

[0072] In this step, if the intelligent gateway determines that the discharge time information of the energy storage battery reaches the preset discharge time threshold of the energy storage battery, the intelligent gateway will control the energy storage battery to end the discharge.

[0073] In one embodiment, the method comprises:

[0074] If the discharge end time information does not reach the preset discharge time threshold of the energy storage battery, the process returns to re-detect whether the current SOC value of the energy storage battery is lower than the lowest preset threshold of the energy storage battery.

[0075] In this embodiment, when the intelligent gateway determines that the discharge end time information does not reach the preset discharge time threshold of the energy storage battery, it will return to re-detect whether the current SOC value of the energy storage battery is lower than the minimum preset threshold of the energy storage battery, and re-execute step 303 and subsequent steps.

[0076] In one embodiment, Figure 4 As shown, the method includes:

[0077] Step 401: If the scheduling instruction is a valley filling instruction, the energy storage battery is controlled to start charging to increase the power consumption of the base station;

[0078] In this step, if the intelligent gateway determines that the scheduling instruction is a valley filling instruction, it sends a charging control instruction to the energy storage battery to control the charging of the energy storage battery to increase the power consumption of the base station.

[0079] Step 402: Detect whether the current SOC value of the energy storage battery reaches the maximum preset threshold value of the energy storage battery;

[0080] In this step, the smart gateway detects whether the current SOC value of the energy storage battery reaches the maximum preset threshold of the energy storage battery, and the maximum preset value is 100% of the rated capacity of the smart battery.

[0081] Step 403: If the current SOC value of the energy storage battery does not reach the maximum preset threshold value of the energy storage battery, then detecting whether the charging end time information reaches the preset charging time threshold value of the energy storage battery;

[0082] In this step, if the smart gateway determines that the current SOC value of the energy storage battery has not reached the maximum preset threshold of the energy storage battery, it is necessary to further detect whether the charging end time information reaches the preset charging time threshold of the energy storage battery.

[0083] In one embodiment, the method comprises:

[0084] If the current SOC value of the energy storage battery reaches the maximum preset threshold of the energy storage battery, charging is terminated.

[0085] Step 404: If the charging end time information reaches the preset charging time threshold of the energy storage battery, the charging is terminated.

[0086] In this step, if the intelligent gateway determines that the charging end time information reaches the preset charging time threshold of the energy storage battery, the energy storage battery is controlled to end charging.

[0087] In one embodiment, the method comprises:

[0088] If the charging end time information does not reach the preset charging time threshold of the energy storage battery, the process returns to re-detect whether the current SOC value of the energy storage battery reaches the maximum preset threshold of the energy storage battery.

[0089] In this embodiment, if the intelligent gateway determines that the charging end time information does not reach the preset charging time threshold of the energy storage battery, it returns to re-detect whether the current SOC value of the energy storage battery reaches the maximum preset threshold of the energy storage battery, and re-executes step 403 and subsequent steps.

[0090] Figure 5 A peak shaving and valley filling charging and discharging logic diagram suitable for a 5G base station is provided in an embodiment of the present disclosure.

[0091] Figure 6 A flow chart of a peak-valley arbitrage method for an energy storage device provided in an embodiment of the present disclosure. Figure 6 As shown, the method includes:

[0092] Step 601, detecting whether the first time information reaches the preset charging start time;

[0093] In this step, the intelligent gateway detects whether the first time information reaches the preset charging start time. If the first time information does not reach the preset charging start time, charging is stopped.

[0094] Step 602: If the first time information reaches the preset charging start time, charging starts, and the SOC value of the smart battery is detected to see whether it reaches the maximum preset threshold value of the energy storage battery;

[0095] In this step, if the smart gateway detects that the first time information reaches the preset charging start time, charging starts, and further detects whether the SOC value of the smart battery reaches the maximum preset threshold of the energy storage battery.

[0096] Step 603: If the SOC value of the smart battery does not reach the maximum preset threshold value of the energy storage battery, detect whether the second time information reaches the preset charging end time; wherein the second time information is separated from the first time information by a first preset time period;

[0097] In this step, if the smart gateway determines that the SOC value of the smart battery has not reached the maximum preset threshold of the energy storage battery, which is 100% of the rated capacity of the energy storage battery, it is necessary to further detect whether the second time information reaches the preset charging end time.

[0098] In one embodiment, the method comprises:

[0099] If the smart gateway determines that the SOC value of the smart battery reaches the maximum preset threshold of the energy storage battery, charging is terminated.

[0100] Step 604: If the second time information reaches the preset charging end time, then end the charging, and detect whether the third time information reaches the preset discharging start time; wherein the third time information and the second time information are separated by a second preset time period;

[0101] In this step, if the smart gateway determines that the second time information reaches the preset charging end time, the charging is terminated, and further detects whether the third time information reaches the preset discharging start time.

[0102] In one embodiment, the method comprises:

[0103] If the second time information does not reach the preset charging end time, the method returns to re-detect whether the SOC value of the smart battery reaches the maximum preset threshold value of the energy storage battery.

[0104] Step 605: If the third time information reaches the preset discharge start time, discharge is started, and the SOC value of the smart battery is detected to see whether it is lower than the lowest preset threshold value of the energy storage battery;

[0105] In this step, if the smart gateway determines that the third time information reaches the preset discharge start time, it starts discharging and further detects whether the SOC value of the smart battery is lower than the minimum preset threshold of the energy storage battery, which can be 20% of the rated capacity of the energy storage battery.

[0106] In one embodiment, if the smart gateway determines that the SOC value of the smart battery is lower than the lowest preset threshold of the energy storage battery, the discharge is stopped.

[0107] Step 606: If the SOC value of the smart battery is not lower than the lowest preset threshold value of the energy storage battery, detect whether the fourth time information reaches the preset discharge end time; wherein the fourth time information is separated from the third time information by a third preset time period;

[0108] In this step, if the smart gateway determines that the SOC value of the smart battery is not lower than the minimum preset threshold value of the energy storage battery, it is necessary to further detect whether the fourth time information reaches the preset discharge end time.

[0109] In one embodiment, if the smart gateway determines that the fourth time information has not reached the preset discharge end time, it returns to re-detect. If the SOC value of the smart battery is lower than the minimum preset threshold of the energy storage battery, it returns to re-detect and re-executes step 605 and subsequent steps.

[0110] Step 607: If the fourth time information reaches the preset discharge end time, then end the discharge.

[0111] In this step, if the intelligent gateway determines that the fourth time information reaches the preset discharge end time, the discharge is ended.

[0112] Figure 7 A peak-valley arbitrage charging and discharging logic diagram of an energy storage device provided in an embodiment of the present disclosure. Figure 7As shown in the figure, the peak-valley arbitrage working logic sets the two-charge and two-discharge mode according to the electricity price. In the smart gateway system, two charging and discharging time periods are set. The first charging and discharging logic is as follows: Figure 7 As shown, the logic of the second time is the same as the first time, profit = calculated discharge amount * electricity price - charging amount * electricity price.

[0113] Figure 8 A backup power charging and discharging logic diagram of an energy storage device provided in an embodiment of the present disclosure. Figure 8 As shown, the backup power charging and discharging process of the energy storage device is as follows: the energy storage device detects whether the mains power is lost. If it is determined that the mains power is lost, discharging starts; if it is determined that the mains power is not lost, discharging stops; after the preset discharge time, it is necessary to further detect whether the SOC value of the smart battery is lower than 5% of the rated capacity of the smart battery. If it is determined that the SOC value of the smart battery is lower than 5% of the rated capacity of the smart battery, discharging stops; if it is determined that the SOC value of the smart battery is not lower than 5% of the rated capacity of the smart battery, it returns to re-detect whether the mains power is lost.

[0114] The energy storage method for 5G base stations provided in the embodiments of the present disclosure utilizes the peak and valley electricity prices of the power grid to charge and discharge energy storage, obtain revenue, and reduce the electricity bill of the 5G base station. At the same time, it can receive the dispatch of the virtual power plant to smooth the peak and fill the valley of the power grid (charge when more electricity is needed, and discharge when less electricity is needed), obtain revenue from the auxiliary service market, and further reduce the electricity bill. Secondly, the energy storage method for 5G base stations provided in the embodiments of the present disclosure can remove the original backup power system and use the base station energy storage device as the backup power system, thereby reducing the operation and maintenance workload of the 5G base station and the cost of replacing batteries.

[0115] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The above-mentioned program can be pre-stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the above-mentioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0116] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the disclosure disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0117] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An energy storage method suitable for a 5G base station, characterized in that: Applied to an intelligent gateway, the method comprises: Receive a dispatch instruction issued by a virtual power plant, and determine the type of the dispatch instruction; wherein the type of the dispatch instruction includes a peak shaving instruction and a valley filling instruction, the peak shaving instruction carries discharge end time information, and the valley filling instruction carries charging end time information; If the dispatch instruction is a peak shaving instruction, the energy storage battery is controlled to start discharging to offset the power consumption of the base station; Detecting whether the current SOC value of the energy storage battery is lower than a minimum preset threshold value of the energy storage battery; If the current SOC value of the energy storage battery is not lower than the lowest preset threshold value of the energy storage battery, detecting whether the discharge end time information reaches the preset discharge time threshold value of the energy storage battery; If the discharge end time information reaches the preset discharge time threshold of the energy storage battery, the discharge is terminated.

2. The method according to claim 1, characterized in that The method comprises: If the current SOC value of the energy storage battery is lower than the lowest preset threshold value of the energy storage battery, the discharge is terminated.

3. The method according to claim 1, characterized in that The method comprises: If the discharge end time information does not reach the preset discharge time threshold of the energy storage battery, the process returns to re-detect whether the current SOC value of the energy storage battery is lower than the lowest preset threshold of the energy storage battery.

4. The method according to claim 1, characterized in that: The method comprises: If the dispatch instruction is a valley filling instruction, the energy storage battery is controlled to start charging to increase the power consumption of the base station; Detect whether the current SOC value of the energy storage battery reaches the maximum preset threshold value of the energy storage battery; If the current SOC value of the energy storage battery does not reach the maximum preset threshold value of the energy storage battery, detecting whether the charging end time information reaches the preset charging time threshold value of the energy storage battery; If the charging end time information reaches the preset charging time threshold of the energy storage battery, the charging is terminated.

5. The method according to claim 4, characterized in that The method comprises: If the current SOC value of the energy storage battery reaches the maximum preset threshold of the energy storage battery, charging is terminated.

6. The method according to claim 4, characterized in that The method comprises: If the charging end time information does not reach the preset charging time threshold of the energy storage battery, the process returns to re-detect whether the current SOC value of the energy storage battery reaches the maximum preset threshold of the energy storage battery.

7. A peak-valley arbitrage method for an energy storage device, characterized in that: The method comprises: Detecting whether the first time information reaches the preset charging start time; If the first time information reaches the preset charging start time, charging starts, and the SOC value of the smart battery is detected to see whether it reaches the maximum preset threshold value of the energy storage battery; If the SOC value of the smart battery does not reach the maximum preset threshold value of the energy storage battery, then detect whether the second time information reaches the preset charging end time; wherein the second time information is separated from the first time information by a first preset time period; If the second time information reaches the preset charging end time, the charging is terminated, and the third time information is detected to see whether it reaches the preset discharging start time; wherein the third time information is separated from the second time information by a second preset time period; If the third time information reaches the preset discharge start time, discharge starts, and detects whether the SOC value of the smart battery is lower than the minimum preset threshold value of the energy storage battery; If the SOC value of the smart battery is not lower than the lowest preset threshold value of the energy storage battery, then detecting whether the fourth time information reaches the preset discharge end time; wherein the fourth time information is separated from the third time information by a third preset time period; If the fourth time information reaches the preset discharge end time, the discharge is ended.

8. The method according to claim 7, characterized in that The method comprises: If the SOC value of the smart battery reaches the maximum preset threshold of the energy storage battery, charging is terminated.

9. The method according to claim 7, characterized in that: The method comprises: If the second time information does not reach the preset charging end time, the method returns to re-detect whether the SOC value of the smart battery reaches the maximum preset threshold value of the energy storage battery.

10. An energy storage device suitable for a 5G base station, characterized in that: The energy storage device includes a bidirectional meter, a DC-DC converter, an energy storage battery, an intelligent gateway, an environmental sensor and an intelligent monitoring system; wherein, The bidirectional meter is electrically connected to the busbar of the base station power cabinet, the DC-DC converter is electrically connected to the bidirectional meter, and the energy storage battery is electrically connected to the DC-DC converter; The bidirectional meter, the DC-DC converter, the energy storage battery and the environmental sensor are all communicatively connected to the intelligent gateway, the intelligent gateway is electrically connected to the gateway backup power supply system, the gateway backup power supply system is electrically connected to the intelligent monitoring system, and the intelligent monitoring system power supply circuit breaker is electrically connected to the AC-DC power converter of the base station power cabinet.

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