Energy storage system charging and discharging control method and system based on controllable load

Abstract

The invention relates to an energy storage system charging and discharging control method based on a controllable load, and the method comprises the following steps: a central control unit carries out the data collection of a local energy storage device and a local controllable load, and obtains collected data; the cloud server performs data cleaning on the collected data to obtain cleaned data, obtains an energy storage theory optimal capacity value based on the cleaned data, and sends the energy storage theory optimal capacity value to the central control unit; the central control unit interactively distributes allowable charging and discharging power to the local energy storage equipment and the controllable load based on the optimal capacity value of the energy storage theory; and the controllable load equipment performs PID adjustment based on the distributed allowable charging and discharging power. According to the invention, the dependence on the original power supply system is reduced under the newly added power supply loop; the method is suitable for a newly-added energy storage system loop system, and can cut off a corresponding loop when the system is abnormal, thereby cooperatively controlling and reducing the impact of a power grid. Power prediction and theoretical optimal energy storage charging amount are carried out through the cloud platform, and the energy storage electric quantity and the charging pile power are reasonably controlled.

Description

Technical Field

[0001] The present invention relates to the technical fields of energy storage batteries and charging piles, and particularly to a charge and discharge control method and system for an energy storage system based on a controllable load. Background Art

[0002] Under the background of the rapid development of the electric vehicle market, charging piles have become increasingly important infrastructure. However, the large-scale construction of charging piles has brought a huge impact on the safe and stable operation of the power grid. "Charging piles + energy storage" has become an effective solution to this problem. On the one hand, the energy storage system can avoid the impact of charging loads on the power grid by adjusting the power peak, and can charge during the low load period of the power grid and discharge during the peak load period, optimizing the utilization of power resources; on the other hand, it can also be used as a backup power supply to provide power support in case of emergencies, improving the stability and safety of the power system.

[0003] The energy storage system generally operates independently of the charging pile system, and both are connected to the power grid system at the same time. In this scenario, if the energy storage discharges, it may cause power grid fluctuations and affect the power grid quality, and in areas with strict governance, the access of energy storage devices will not be allowed. If the energy storage system and the new load system can be integrated and interactively controlled, and only discharge to the new load side and prevent the energy storage from discharging to the power grid system, it will improve the application of energy storage devices in this scenario. At the same time, through the integration of the energy storage system and the charging device control, the power can be more reasonably distributed in each scenario, achieving the best benefits and shorter charging times.

[0004] The existing technologies on the market are as follows:

[0005] Existing Technology One: The energy storage and the charging pile are independently controlled, and this technology cannot adaptively cooperate.

[0006] Existing Technology Two: Establish an integrated photovoltaic energy storage charging system. Through the effective control of the three, the flexibility and reliability of the power system are enhanced. This mode is suitable for the comprehensive utilization of large charging piles, and the photovoltaic is greatly affected by weather.

[0007] Existing Technology Three: An integrated energy storage and charging device integrates the energy storage and the charging pile. This technology is used for charging devices with large charge and discharge powers, and this mode has high requirements for manufacturing processes, cannot be flexibly configured, and there are situations of over-allocation or under-allocation of energy storage, and it cannot be used by multiple users at the same time. Summary of the Invention

[0008] The purpose of the present invention is to at least solve one of the deficiencies of the existing technologies, and provide a charge and discharge control method and system for an energy storage system based on a controllable load.

[0009] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0010] Specifically, a charge and discharge control method for an energy storage system based on controllable loads is proposed, including the following:

[0011] The central control unit collects data of local energy storage devices and local controllable loads to obtain the collected data, and sends the collected data to the cloud server. The collected data includes energy storage data, controllable load data, external environment data, and anti-counterflow meter data.

[0012] The cloud server cleans the collected data to obtain the cleaned data, obtains the theoretical optimal capacity value of the energy storage based on the cleaned data, and sends the theoretical optimal capacity value of the energy storage to the central control unit.

[0013] The central control unit interactively allocates the allowable charge and discharge power between the local energy storage device and the controllable load based on the theoretical optimal capacity value of the energy storage.

[0014] The controllable load device performs PID regulation based on the allocated allowable charge and discharge power to control the output power.

[0015] Furthermore, specifically,

[0016] The energy storage data includes: battery charge and discharge power, core temperature change, SOC value, charge and discharge power and electricity, and electrical energy loss of energy storage system accessories.

[0017] The controllable load data includes: required power, reserved charging time.

[0018] The external environment acquisition includes: voltage, current, and power data of the gateway meter.

[0019] The anti-counterflow meter data includes: voltage, current, and power data of the anti-counterflow meter.

[0020] Furthermore, specifically, the interactive allocation of the allowable charge and discharge power between the local energy storage device and the controllable load based on the theoretical optimal capacity value of the energy storage includes:

[0021] The local energy storage device performs dynamic regulation through the theoretical optimal capacity value of the energy storage, controls the charge and discharge power range to be not lower than the theoretical optimal capacity value of the energy storage, and allocates the allowable charge and discharge power based on the following allocation principles according to the collected data;

[0022] Allocation principle 1: Ensure full charge within the reserved time period.

[0023] Allocation principle 2: If it is determined that allocation principle 1 cannot be satisfied, reduce the power control for vehicles with a theoretical optimal capacity value of the energy storage higher than the first threshold after the next charge after the historical full charge.

[0024] Allocation principle 3: Provide full power supply to customers who charge for the first time without a reserved time period.

[0025] When the capacity of the transformer is greater than the capacity threshold, both the charging device and the energy storage can be charged using the mains power.

[0026] When the load of the voltage transformer is greater than the load threshold, the charging device uses the mains power partially and the energy storage partially.

[0027] At the same time, there is a situation where when the load rate of the voltage transformer is greater than the load rate threshold, the charging device uses all the energy storage electrical energy.

[0028] Furthermore, specifically, the method further includes,

[0029] If there is an abnormality in the entire energy storage system, the central control unit disconnects the new load circuit in the local controllable load and gives a reminder. Specifically,

[0030] When the energy storage system is abnormal, the charging device reports a serious fault message, or there is an uncontrollable reverse current / transformer overload, the energy storage system outputs a relay control signal to disconnect the corresponding new load electrical circuit to avoid affecting the original load.

[0031] Furthermore, the method further includes,

[0032] An uninterruptible power supply device is also provided at the local energy storage device. The uninterruptible power supply device is used to ensure that the energy storage can still send data after disconnecting the corresponding new load electrical circuit, and give an alarm reminder to the customer / equipment operator.

[0033] The present invention also proposes a charge and discharge control system for an energy storage system based on a controllable load, including,

[0034] A cloud server, which is used to clean the collected data to obtain the cleaned data, and obtain the theoretical optimal capacity value of the energy storage based on the cleaned data;

[0035] A data acquisition module, which is used to acquire data to obtain the acquired data, and send the acquired data to the cloud server. The acquired data includes energy storage data, controllable load data, external environment data, and anti-reverse flow meter data;

[0036] A central control unit, which is communicatively connected to the data acquisition module, and includes an execution module and a control module: used to obtain the acquired data collected by the data acquisition module, and send the acquired data to the cloud server, and interactively allocate the allowable charge and discharge power of the local energy storage device and the controllable load based on the theoretical optimal capacity value of the energy storage;

[0037] A charging device, specifically a local energy storage device and a local controllable load, including a control module and a scheduling feedback module. The charging device prevents power fluctuations caused by overuse according to the issued allowable charge and discharge power.

[0038] The beneficial effects of the present invention are:

[0039] The charge and discharge control method of the energy storage system based on a controllable load provided by the present invention detects the state of the energy storage system to judge its capacity, and at the same time conducts information interaction with the charging device, and allocates the allowable charge and discharge power according to the collected information. The charging device controls the output power according to the issued allowable power, and at the same time prevents power fluctuations caused by overuse. The cloud server predicts the potential future power curve and estimates the theoretical capacity that the energy storage should store in each time period. That is, under different working conditions, the charge and discharge of the energy storage are controlled to avoid the energy storage discharging to the power grid, and at the same time, the PID algorithm is used to control the load (charging device) not to exceed the allowable discharge capacity of the energy storage. It has the following advantages: 1. When there is no remaining capacity in the power grid, the power supply of the controllable load is provided by the energy storage; 2. When there is remaining capacity in the power grid, the energy storage can be used as a controllable load to be powered by the power grid; 3. When the energy storage is abnormal, the corresponding circuit is disconnected to reduce the impact on the power grid; 4. Through the cloud platform for power prediction and the theoretical optimal energy storage charging amount, the energy storage power is reasonably controlled; with the built-in cloud platform algorithm, remote algorithm iteration can be carried out; 5. For the regulation of the controllable load, the PID algorithm is used to smooth the allowable charging power, avoiding the situation of still using the mains power when using the energy storage for charging, resulting in transformer overload. Description of the Drawings

[0040] By elaborating on the embodiments shown in conjunction with the drawings, the above and other features of the present disclosure will become more apparent. The same reference numerals in the drawings of the present disclosure represent the same or similar output voltages. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. In the drawings:

[0041] Figure 1 Shows the circuit diagram of an embodiment of the energy storage system based on a controllable load of the present invention;

[0042] Figure 2 Shows the flowchart of the charge and discharge control method of the energy storage system based on a controllable load of the present invention;

[0043] Figure 3 Shows the structural schematic diagram of the charge and discharge control system of the energy storage system based on a controllable load;

[0044] Figure 4 Shows the left part of a specific calculation logic schematic diagram for interacting and allocating the allowable charge and discharge power between the local energy storage device and the controllable load based on the theoretical optimal capacity value of the energy storage;

[0045] Figure 5 Shows the right part of a specific calculation logic schematic diagram for interacting and allocating the allowable charge and discharge power between the local energy storage device and the controllable load based on the theoretical optimal capacity value of the energy storage;

[0046] Figure 6 Shown is the overall schematic diagram of a specific calculation logic for the interactive allocation of the allowable charge-discharge power between a local energy storage device and a controllable load based on the optimal capacity value of the energy storage theory. Detailed implementation manners

[0047] The following will clearly and completely describe the concept, specific structure, and technical effects generated by the present invention in combination with embodiments and drawings to fully understand the purpose, solution, and effects of the present invention. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The same reference numerals used throughout the drawings indicate the same or similar parts.

[0048] Referring to Figure 1 , Embodiment 1, the present invention proposes a charge-discharge control method for an energy storage system based on a controllable load, including the following

[0049] The central control unit collects data of the local energy storage device and the local controllable load to obtain the collected data, and sends the collected data to the cloud server. The collected data includes energy storage data, controllable load data, external environment data, and anti-counterflow meter data;

[0050] The cloud server cleans the collected data to obtain the cleaned data, obtains the optimal capacity value of the energy storage theory based on the cleaned data, and sends the optimal capacity value of the energy storage theory to the central control unit;

[0051] The central controller sends data related to the factors affecting the charge and discharge of the energy storage to the cloud server, and the server performs data cleaning. At the same time, the cloud server estimates the optimal capacity value of the energy storage theory after correction. Optionally, the central controller can transmit in real time or after reaching a specific trigger condition. The big data platform has a data cleaning function to ensure data reliability, preprocess the data, improve data reliability, and gradually improve the working condition recognition ability as the data accumulates.

[0052] As a kind of embodiment, first, the working condition is identified based on the date, distinguishing holidays, weekends, and weekdays; second, the working condition is identified based on the weather, distinguishing rainy days and sunny days; third, the time is distinguished, and each day is divided into 24 time zones; finally, if there are peak, valley, and flat periods in the area, the peak, valley, and flat periods are distinguished, and the peak energy storage charging situation is minimized as much as possible, and the use of mains power is minimized as much as possible when the electricity price is high. In this way, the working conditions are uniformly divided, and the content of the working condition database will be gradually updated to provide accuracy. And it is corrected with the real-time gateway meter data, the daily reservation time of the controllable load, and the energy storage theory capacity value issued at the stop charging time to prevent the energy storage from being emptied in advance. Among them, the theoretical optimal SOC refers to the optimal capacity value of the energy storage theory

[0053] For operating condition 1: on a weekday and sunny day, the corresponding theoretical optimal SOC ranges within 24 hours obtained by the cloud platform are as shown in Table 1 below

[0054]

[0055]

[0056] Table 1

[0057] And so on for other operating conditions. By regulating the theoretical SOC, the local controller can more reasonably allocate the charge and discharge capabilities, and at the same time improve the cycle life of the energy storage battery. When the original transformer still has capacity, the energy storage device plays an auxiliary role to reduce power loss.

[0058] The central control unit interacts and allocates the allowable charge and discharge power between the local energy storage device and the controllable load based on the theoretical optimal capacity value of the energy storage;

[0059] The controllable load device performs PID regulation based on the allocated allowable charge and discharge power to control the output power.

[0060] To reduce the demand for the power following time of the energy storage system in engineering applications and reduce the power fluctuation in the entire power system, a PID algorithm is introduced to regulate the charging power. By adjusting the three parts of proportional (P), integral (I), and derivative (D), the stability and accuracy of power supply can be improved.

[0061] In this preferred embodiment, as one of the examples, the primary circuit diagram of the project can be seen in the appendix Figure 1 , where the left side of the figure represents the original load, and the right side represents the new circuit: the energy storage cabinet and multiple controllable loads (generally charging pile devices, and some are replaced by charging pile devices in the following description), and a total of 3 meters M1 - M3 are newly added, which are used for gateway data, metering data, and anti - reverse power flow data respectively. The energy storage cabinet is mainly used for the new controllable loads, reducing the pressure on the original transformer and controlling the anti - reverse power flow. The relay is used to link and control the controllable load and the energy storage power supply circuit to prevent overloading in case of faults or insufficient energy in the energy storage.

[0062] As a preferred embodiment of the present invention, specifically

[0063] The energy storage data includes: battery charge and discharge power, cell temperature change, SOC value, charge and discharge power and electricity, and power loss of energy storage system accessories;

[0064] The controllable load data includes: required power, reserved charging time;

[0065] The external environment acquisition includes: gateway meter voltage, current, and power data;

[0066] The anti-backflow meter data includes: the voltage, current, and power data of the anti-backflow meter.

[0067] In this preferred embodiment, data acquisition of the energy storage system and local controllable load; the energy storage data includes: the battery charge and discharge power, the change in the temperature of the battery cells, the SOC value, the charge and discharge power and electricity, and the power loss of the accessories in the energy storage system and other internal data of the energy storage system. The controllable load data includes: the required power and the reserved charging time. The external environment acquisition includes: the voltage, current, and power data of the gateway meter; the voltage, current, and power data of the anti-backflow meter.

[0068] As a preferred embodiment of the present invention, specifically, based on the theoretically optimal capacity value of the energy storage, the local energy storage device and the controllable load are interactively allocated their allowable charge and discharge power, including,

[0069] The local energy storage device is dynamically adjusted through the theoretically optimal capacity value of the energy storage, and the charge and discharge power range is controlled to be not less than the theoretically optimal capacity value of the energy storage, and the allowable charge and discharge power is allocated based on the collected data according to the following allocation principles;

[0070] Allocation principle 1: Ensure full charge within the reserved time period;

[0071] Allocation principle 2: If it is determined that allocation principle 1 cannot be satisfied, the power control of the vehicle with a theoretically optimal capacity value of the energy storage higher than the first threshold after the next charge after historical full charge is reduced;

[0072] Allocation principle 3: Full power supply is provided to customers who charge for the first time without a reserved time period.

[0073] When the transformer capacity is greater than the capacity threshold, both the charging device and the energy storage can use the mains power for charging;

[0074] When the transformer load is greater than the load threshold, the charging device uses the mains power partially and the energy storage partially;

[0075] At the same time, there is a situation where when the transformer load rate is greater than the load rate threshold, the charging device uses all the energy storage power.

[0076] In this preferred embodiment, the local energy storage device is dynamically adjusted through the theoretically optimal SOC issued by the cloud platform, and the main control charge and discharge capacity range is not less than the set value, and it is allowed to charge more when there is excess capacity in the mains power. Through collecting the reserved charging time period, the allowable capacity, and the historical charging data of the controllable load for unified scheduling, a reasonable allocation of the energy storage charge and discharge capacity is achieved. The allocation principles are 1. Ensure full charge within the reserved time period; 2. If it is determined that 1 cannot be satisfied, the power control of the vehicle with a relatively high SOC after the next charge after historical full charge is reduced; 3. Full power supply is provided to customers who charge for the first time without a reserved time period.

[0077] When the transformer capacity has a large capacity, both the charging device and the energy storage can be charged using the mains power;

[0078] When the voltage transformer has a large load, there is a possibility that the charging device uses part of the mains power and part of the energy storage;

[0079] At the same time, there is a situation where when the load rate of the voltage transformer is large, the charging device uses all the energy storage electric energy.

[0080] As one of the embodiments, such as Figure 4 、 Figure 5 and Figure 6 The example shown: Add an energy storage cabinet and a new load to the same bus under the original load of the transformer. Install two electricity meters to dynamically maintain the transformer capacity (Meter 1 is installed under the main incoming line cabinet under the transformer to monitor the total load Dkw, and Meter 2 is installed after the new load to monitor the new load Bkw + energy storage power P1). The newly added energy storage and load shall not affect the normal power consumption of the original load. The energy storage only supplies power to the new load. Define the original load power as Akw, the new load power as Bkw, and the energy storage power as P1. Use the anti-backflow function to ensure that the energy storage does not supply power to the original load and the grid (i.e., P1 ≤ B)

[0081] Condition 1: When the transformer load rate is XkW (calibrated value), the original load is AkW, the new load is BkW (power of the newly added charging device), and the total load is DkW (data of the gateway meter). When D > X, the energy storage judges whether the current allowable discharge power of the energy storage meets the requirements of the charging device. If it is allowed, the newly added controllable load uses the electric energy of the energy storage device for charging. The maximum allowable discharge power issued is the allowable power P1 to prevent backflow, the pcs allowable power P2 of the energy storage system, the BMS allowable discharge power P3, and the current regulation exceeding the transformer capacity limit P4. The minimum value of the four is obtained

[0082] Condition 2: When the transformer load does not meet Condition 1, there is a situation where the energy storage device changes from charging to reducing the charging power and from discharging to reducing the discharging power. At this time, D ≥ Y (Y is the calibrated value). If ① the previous moment is the discharging condition 1, then the allowable power issued at the next moment P is to reduce the discharging power, that is

[0083] P discharge medium = the current pcs issued power - (X (300kW) - D (Meter 1))

[0084] P1 = (Meter 2 of the energy storage + the current pcs issued power) - 5kW (that C anti-backflow value)

[0085] P issued = min(P1, P discharge medium, P2, P3) ≥ 0kW

[0086] ② If the previous moment is the charging condition 3 (as follows), then the allowable power issued at the next moment P is to reduce the charging power, that is

[0087] PCS charging power issued value (when the current PCS power is negative)

[0088] The current PCS issued power during charging + (D (electric meter 1) - Y (200kW)); P issued = max(P charging, P2, P3) ≤ 0kW

[0089] ③ If the power at the previous moment was 0kW, then P issued = 0kW

[0090] Condition three: When conditions one and two are not met and there is surplus capacity in the mains power for charging, the allowable charging power of the energy storage is

[0091] PCS is charging, the charging power P1 = Y - D; the PCS rated power P2; the maximum allowable charging power of the BMS P3

[0092] The charging power P = max(P1, P2, P3)

[0093] Condition four: When a fault occurs in the energy storage or charging device or it is manually set, the output relay signal disconnects the corresponding circuit.

[0094] Among them, the following values can all be calibrated, and the following are the default preferred values given in the embodiments:

[0095] Maximum operating charging power: -100kW

[0096] Maximum allowable discharge power P2: 100kW

[0097] SOC control upper limit SOCmax: 90%

[0098] SOC control lower limit SOCmin: 10%

[0099] Single - cell voltage upper limit Vmax: 3.5V

[0100] Single - cell voltage lower limit Vmin: 2.9V

[0101] Load target control X: 300kW

[0102] Load allowable charging threshold Y: 250kW

[0103] Anti - backflow value C: 5kW.

[0104] Through the above conditions one, two, and three, the maximum allowable charge - discharge power of the energy storage can be obtained. If equipment control can be carried out at the initial stage of the project. Combining the new load capacity and cloud platform data, more precise control can be carried out, and the control method is as follows:

[0105] During the discharging period, energy storage combines the estimated required electric energy in subsequent periods for judgment. When the available SOC is satisfied, aiming to control the highest overall system revenue, the energy storage will be discharged as much as possible during peak periods and charged as much as possible during valley periods.

[0106] Similarly, for controllable loads, the energy storage electric energy is used as much as possible during peak periods, and the mains power is used for charging during valley periods.

[0107] Based on the recognition of the operating conditions by the energy storage central controller through the cloud platform and the maximum allowable charge and discharge capacity obtained above, the power value to be sent to each controllable load device can be obtained.

[0108] As a preferred embodiment of the present invention, specifically, the method further includes,

[0109] When there is an abnormality in the entire energy storage system, the central control unit disconnects the new load circuit in the local controllable load and gives a reminder. Specifically,

[0110] When there is an abnormality in the energy storage system, the charging device reports a serious fault message, or there is an uncontrollable reverse current / transformer overload, the energy storage system outputs a relay control signal to disconnect the corresponding new load electric circuit to avoid affecting the original load.

[0111] In this preferred embodiment, when there is an abnormality in the overall system, the energy storage central controller disconnects the new load circuit and gives a reminder. As Figure 1 shown, when there is an abnormality in the energy storage system, the charging device reports a serious fault message, or there is an uncontrollable reverse current / transformer overload, the energy storage system outputs a relay control signal to disconnect the corresponding new load electric circuit to avoid affecting the original load. At the same time, an uninterruptible power supply device is provided inside the energy storage end, which can ensure that the energy storage can still send data after disconnection, and give an alarm reminder to the customer / equipment operator.

[0112] As a preferred embodiment of the present invention, the method further includes,

[0113] An uninterruptible power supply device is also provided at the local energy storage device. The uninterruptible power supply device is used to ensure that the energy storage can still send data after disconnecting the corresponding new load electric circuit, and give an alarm reminder to the customer / equipment operator.

[0114] The present invention also proposes a charge and discharge control system for an energy storage system based on controllable loads, including,

[0115] A cloud server, which is used to clean the collected data to obtain the cleaned data, and obtain the theoretical optimal capacity value of the energy storage based on the cleaned data;

[0116] A data acquisition module, which is used to acquire data to obtain acquired data and send the acquired data to a cloud server. The acquired data includes energy storage data, controllable load data, external environment data, and anti-counterflow meter data;

[0117] A central control unit, which is communicatively connected to the data acquisition module and includes an execution module and a control module: it is used to obtain the acquired data collected by the data acquisition module, send the acquired data to the cloud server, and interactively allocate the allowable charge and discharge power between the local energy storage device and the controllable load based on the theoretically optimal capacity value of the energy storage;

[0118] Charging devices, specifically local energy storage devices and local controllable loads, include a control module and a scheduling feedback module. The charging devices prevent power fluctuations caused by overuse according to the issued allowable charge and discharge power.

[0119] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution in this embodiment.

[0120] In addition, in each embodiment of the present invention, the functional modules can be integrated in a processing module, or each module can exist physically alone, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0121] If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above method embodiments of the present invention, it can also be completed by a computer program instructing relevant hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0122] Although the description of the present invention has been quite detailed and several of the described embodiments have been described in particular, it is not intended to be limited to any of these details or embodiments or any particular embodiment, but rather it should be regarded as providing a broad interpretation of these claims in light of the prior art by reference to the appended claims, so as to effectively cover the intended scope of the present invention. In addition, the present invention has been described above in terms of embodiments foreseeable by the inventors for the purpose of providing a useful description, and non-substantive modifications to the present invention that are not currently foreseeable may still represent equivalent modifications of the present invention.

[0123] As described above, these are only the preferred embodiments of the present invention. The present invention is not limited to the above-described embodiments. As long as the same means are used to achieve the technical effects of the present invention, they should fall within the protection scope of the present invention. Within the protection scope of the present invention, various different modifications and variations may be made to its technical solutions and / or embodiments.

Claims

1. A method for controlling charging and discharging of an energy storage system based on a controllable load, characterized in that: Including the following, The central control unit collects data of the local energy storage device and the local controllable load to obtain collected data, and sends the collected data to the cloud server, wherein the collected data includes energy storage data, controllable load data, external environment data and anti-backflow table data; The cloud server cleans the collected data to obtain cleaned data, obtains a theoretical optimal capacity value of energy storage based on the cleaned data, and sends the theoretical optimal capacity value of energy storage to the central control unit; The central control unit interactively allocates the allowable charging and discharging power of the local energy storage device and the controllable load based on the theoretical optimal capacity value of energy storage; The controllable load device performs PID regulation based on the allocated allowable charging and discharging power to control the output power.

2. The method for controlling the charge and discharge of an energy storage system based on a controllable load according to claim 1, characterized in that: Specifically, Energy storage data includes: battery charging and discharging power, battery cell temperature change, SOC value, chargeable and discharge power and quantity, and energy loss of energy storage system accessories; Controllable load data includes: required power, scheduled charging time; External environment acquisition includes: gateway meter voltage, current, and power data; The anti-backflow meter data includes: voltage, current and power data of the anti-backflow meter.

3. The method for controlling the charge and discharge of an energy storage system based on a controllable load according to claim 2, characterized in that: Specifically, based on the theoretical optimal capacity value of energy storage, the local energy storage device and the controllable load are interactively allocated their allowed charging and discharging power. include, The local energy storage device is dynamically adjusted through the theoretical optimal capacity value of energy storage, and the charging and discharging power range is controlled to be not less than the theoretical optimal capacity value of energy storage, and the allowed charging and discharging power is allocated according to the following allocation principles based on the collected data; Allocation principles 1. Fully booked within the reservation period; Allocation principle 2: If it is determined that allocation principle 1 cannot be met, the power control is reduced for vehicles whose theoretical optimal energy storage capacity value after the previous full charge is still higher than the first threshold value for the next charge; Allocation principle 3: Provide full power to customers who charge for the first time without a scheduled time slot; When the transformer capacity is greater than the capacity threshold, both the charging equipment and the energy storage can be charged using the mains; When the voltage load is greater than the load threshold, the charging device partially uses the mains power and partially uses the energy storage; At the same time, when the voltage load rate is greater than the load rate threshold, there is a situation where all the charging equipment uses stored energy.

4. The method for controlling the charge and discharge of an energy storage system based on a controllable load according to claim 1, characterized in that: Specifically, the method further includes: If the entire energy storage system is abnormal, the central control unit disconnects the newly added load circuit in the local controllable load and issues a reminder. Specifically, When the energy storage system is abnormal, the charging equipment reports serious fault information, or uncontrollable reverse current / transformer overload occurs, the energy storage system outputs a relay control signal to disconnect the corresponding new load circuit to avoid affecting the original load.

5. The method for controlling the charge and discharge of an energy storage system based on a controllable load according to claim 4, characterized in that: The method further comprises, An uninterruptible power supply device is also provided at the local energy storage device, and the uninterruptible power supply device is used to ensure that the energy storage can still upload data after the corresponding newly added load power circuit is disconnected, and to issue an alarm to the customer / equipment operator.

6. Energy storage system charging and discharging control system based on controllable load, characterized in that: include, The cloud server is used to clean the collected data to obtain cleaned data, and obtain the theoretical optimal capacity value of energy storage based on the cleaned data; A data acquisition module is used to acquire data and send the acquired data to a cloud server, wherein the acquired data includes energy storage data, controllable load data, external environment data and anti-backflow table data; The central control unit is connected to the data acquisition module in communication, and includes an execution module and a control module: used to obtain the collected data collected by the data acquisition module, and send the collected data to the cloud server, and interactively allocate the allowed charging and discharging power of the local energy storage device and the controllable load based on the theoretical optimal capacity value of energy storage; The charging equipment, specifically the local energy storage equipment and the local controllable load, includes a control module and a scheduling feedback module. The charging equipment charges and discharges according to the allowed power issued, while preventing power fluctuations caused by excessive use.

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