Power grid side fault processing method based on intelligent fuse and related device

Abstract

The invention discloses a power grid side fault processing method based on an intelligent fuse and a related device. The method comprises the following steps: receiving first fault information and second fault information sent by an energy storage converter; determining to-be-compensated power of a power grid side and a plurality of target battery cabinets; when it is detected that the to-be-compensated power is larger than first preset output power, a first regulation and control instruction is generated according to the first fault information and the second fault information, and the first regulation and control instruction is sent to the first intelligent fuse; according to the to-be-compensated power and the first regulation and control instruction, generating a discharge instruction, and sending the discharge instruction to a plurality of target battery cabinets; determining the voltage recovery progress of the power grid side; and generating a second regulation and control instruction according to the voltage recovery progress, and sending the second regulation and control instruction to the energy storage converter and at least one target battery cabinet. The protection parameters of the intelligent fuse can be monitored and adjusted in real time, and effective energy support is provided for a power grid.

Description

Technical Field

[0001] This application relates to the technical field of power grid governance, and in particular, to a power grid-side fault handling method and related devices based on intelligent fuses. Background Art

[0002] During the operation of the power grid, voltage sags are a common and potentially seriously affecting fault condition, for example, the voltage drops below 70% of the rated value. When the power grid voltage undergoes a sag, it will pose a threat to the stability and reliability of the power system, and may also affect the normal operation of various devices connected to the power grid. For an energy storage system, its main goal is to discharge power from the energy storage battery cabinet to the power grid side when the power grid voltage sags, providing necessary energy support for the power grid to alleviate the impact of the voltage sag and ensure the stable operation of the power grid.

[0003] In the scenario where the energy storage system supplies power to the power grid, when the power grid-side voltage undergoes a sag, adopting a fixed-threshold voltage protection strategy, when the voltage is lower than a certain value, the connection between the energy storage system and the power grid is quickly cut off, unable to distinguish between a fault sag and a normal sag, resulting in unnecessary disconnection from the grid, and after disconnection, the discharge process will be interrupted, directly affecting the discharge revenue. Summary of the Invention

[0004] The embodiments of this application provide a power grid-side fault handling method and related devices based on intelligent fuses to monitor and adjust the protection parameters of the intelligent fuses in real time and provide effective energy support for the power grid.

[0005] In a first aspect, the embodiments of this application provide a power grid-side fault handling method based on intelligent fuses, which is applied to an energy management server in an energy storage system. The energy storage system further includes an energy storage converter and multiple battery cabinets. The energy storage converter includes a first intelligent fuse, and a single battery cabinet includes a second intelligent fuse. The second intelligent fuse is communicatively connected to the energy management server. The energy storage converter includes a first port, a second port, and multiple third ports. The first port is connected to the power grid side, the second port is communicatively connected to the energy management server, and a single third port is connected to the single battery cabinet. The method includes: Receiving first fault information and second fault information sent by the energy storage converter. The first fault information is used to indicate that the effective value of the voltage on the power grid side continuously drops below a first threshold within a first preset time. The second fault information is used to indicate that the instantaneous change rate of the second current value of the second intelligent fuse is greater than a second threshold, and the instantaneous change rate of the second temperature value of the second intelligent fuse is greater than a third threshold; Determining the power to be compensated on the power grid side and multiple target battery cabinets. The target battery cabinets are used to perform a discharging operation towards the power grid side in the current scenario; If it is detected that the power to be compensated is greater than the first preset output power, a first regulation instruction is generated according to the first fault information and the second fault information, and the first regulation instruction is sent to the energy storage converter. The first regulation instruction is used to adjust the range of multiple first protection parameters of the first intelligent fuse; A discharge instruction is generated according to the power to be compensated and the first regulation instruction, and the discharge instruction is sent to the multiple target battery cabinets; Determine the voltage recovery progress on the grid side; A second regulation instruction is generated according to the voltage recovery progress, and the second regulation instruction is sent to the energy storage converter and at least one target battery cabinet.

[0006] Among them, the step of generating a second regulation instruction according to the voltage recovery progress and sending the second regulation instruction to the energy storage converter and at least one target battery cabinet includes: If it is detected that the voltage recovery progress is greater than or equal to the first preset progress, the remaining compensation power is determined according to the voltage recovery progress; If it is detected that the remaining compensation power is greater than the second preset output power, a power increase instruction and a third regulation instruction for at least one of the multiple target battery cabinets are generated, and the power increase instruction and the third regulation instruction are sent to the at least one target battery cabinet. The power increase instruction is used to indicate an increase in the output power of the at least one target battery cabinet, and the third regulation instruction is used to adjust the range of multiple second protection parameters of each of at least one second intelligent fuse. The at least one second intelligent fuse corresponds to the at least one target battery cabinet one by one; If it is detected that within the second preset time, the voltage recovery progress continuously is greater than or equal to the second preset progress, a fourth regulation instruction for the first intelligent fuse and the at least one second intelligent fuse is generated, and the fourth regulation instruction is sent to the energy storage converter and the at least one target battery cabinet. The second preset progress is greater than the first preset progress, and the fourth regulation instruction is used to initialize the protection parameters of the first intelligent fuse and the at least one second intelligent fuse.

[0007] Among them, the step of detecting that within the second preset time, the voltage recovery progress continuously is greater than or equal to the second preset progress, generating a fourth regulation instruction for the first intelligent fuse and the at least one second intelligent fuse, and sending the fourth regulation instruction to the energy storage converter and the at least one target battery cabinet includes: If it is detected that within the second preset time, the voltage recovery progress continuously exceeds the second preset progress, a fourth regulation instruction for the first intelligent fuse is generated, and the fourth regulation instruction for the first intelligent fuse is sent to the energy storage converter; After a preset interval time for generating the fourth regulation instruction for the first intelligent fuse, a fourth regulation instruction for the at least one second intelligent fuse is generated, and the fourth regulation instruction for the at least one second intelligent fuse is sent to the at least one target battery cabinet, where the preset interval time is related to the breaking time of the first intelligent fuse.

[0008] Wherein, after determining the power to be compensated on the grid side and the multiple target battery cabinets, the method further includes: Determine whether there are historical fault hidden dangers in the multiple target battery cabinets; If so, obtain third fault information corresponding to the historical fault hidden danger; Generate a fifth regulation instruction according to the third fault information, and send the fifth regulation instruction to the target battery cabinet with the historical fault hidden danger, where the fifth regulation instruction is used to adjust the range of multiple third protection parameters of the second intelligent fuse.

[0009] Wherein, generating the fifth regulation instruction according to the third fault information includes: Determine a first correlation degree between the third fault information and the first fault information; and determine a second correlation degree between the third fault information and the second fault information; Determine the fault level of the historical fault hidden danger; Generate the fifth regulation instruction according to the first correlation degree, the second correlation degree and the fault level.

[0010] Wherein, the multiple first protection parameters include a fusing threshold and a breaking time, the multiple second protection parameters include the fusing threshold and an allowable short-time overload duration, and the multiple third protection parameters include the fusing threshold and a temperature threshold; the first adjustment degree of the fusing threshold in the multiple first protection parameters is different from the second adjustment degree of the fusing threshold in the multiple second protection parameters, and the second adjustment degree is different from the third adjustment degree of the fusing threshold in the multiple third protection parameters.

[0011] Wherein, after sending the power increase instruction and the third regulation instruction to the at least one target battery cabinet, the method further includes: Obtain the temperature change rate of the multiple second intelligent fuses corresponding to the multiple target battery cabinets; Generate a discharge power adjustment instruction according to the temperature change rate, and send the discharge power adjustment instruction to the energy storage converter.

[0012] In a second aspect, an embodiment of the present application provides a grid-side fault handling device based on an intelligent fuse, which is applied to an energy management server in an energy storage system. The energy storage system further includes an energy storage converter and a plurality of battery cabinets. The energy storage converter includes a first intelligent fuse, and a single battery cabinet includes a second intelligent fuse. The second intelligent fuse is communicatively connected to the energy management server. The energy storage converter includes a first port, a second port, and a plurality of third ports. The first port is connected to the grid side, the second port is communicatively connected to the energy management server, and a single third port is connected to the single battery cabinet, including: A receiving unit, configured to receive first fault information and second fault information sent by the energy storage converter. The first fault information is used to indicate that the effective value of the voltage on the grid side continuously drops below a first threshold within a first preset time. The second fault information is used to indicate that the instantaneous change rate of the second current value of the second intelligent fuse is greater than a second threshold, and the instantaneous change rate of the second temperature value of the second intelligent fuse is greater than a third threshold; A first determination unit, configured to determine the power to be compensated on the grid side and a plurality of target battery cabinets, where the target battery cabinets are used to perform a discharging operation to the grid side in the current scenario; A first generation unit, configured to detect that the power to be compensated is greater than a first preset output power, and then generate a first regulation instruction according to the first fault information and the second fault information, and send the first regulation instruction to the energy storage converter. The first regulation instruction is used to adjust the range of a plurality of first protection parameters of the first intelligent fuse; A second generation unit, configured to generate a discharge instruction according to the power to be compensated and the first regulation instruction, and send the discharge instruction to the plurality of target battery cabinets; A second determination unit, configured to determine the voltage recovery progress on the grid side; A third generation unit, configured to generate a second regulation instruction according to the voltage recovery progress, and send the second regulation instruction to the energy storage converter and at least one target battery cabinet.

[0013] In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and executable program code stored on the memory and executable on the processor. When the processor executes the executable program code, it executes the steps of the method described in the first aspect.

[0014] Fourthly, an embodiment of the present application provides a computer-readable storage medium, on which executable program code is stored. The executable program code includes execution instructions for executing the steps of the method described in the first aspect.

[0015] Fifthly, an embodiment of the present application provides a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program. The computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

[0016] It can be seen that in the embodiment of the present application, first, the first fault information and the second fault information sent by the energy storage converter are received. The first fault information is used to indicate that the effective value of the voltage on the grid side continuously falls below the first threshold within the first preset time. The second fault information is used to indicate that the instantaneous change rate of the second current value of the second intelligent fuse is greater than the second threshold, and the instantaneous change rate of the second temperature value of the second intelligent fuse is greater than the third threshold. Then, the power to be compensated on the grid side and multiple target battery cabinets are determined. The target battery cabinets are used to perform a discharging operation towards the grid side in the current scenario. After that, when it is detected that the power to be compensated is greater than the first preset output power, a first regulation instruction is generated according to the first fault information and the second fault information, and the first regulation instruction is sent to the energy storage converter. The first regulation instruction is used to adjust the range of multiple first protection parameters of the first intelligent fuse. Then, a discharging instruction is generated according to the power to be compensated and the first regulation instruction, and the discharging instruction is sent to the multiple target battery cabinets. Next, the voltage recovery progress on the grid side is determined. Finally, a second regulation instruction is generated according to the voltage recovery progress, and the second regulation instruction is sent to the energy storage converter and at least one target battery cabinet.

[0017] In the present application, the first intelligent fuse and multiple second intelligent fuses cooperate to perform fault judgment, which is beneficial to improving the accuracy of fault judgment. At the same time, through the communication relationship between the energy storage converter, multiple battery cabinets, and the energy management server, signaling interaction is carried out, enabling the energy management server to monitor the discharging process in real time and dynamically adjust the parameter thresholds of the intelligent fuse. Furthermore, when discharging from the battery cabinets to the grid side, the intelligent fuse can have a stronger tolerance to normal current fluctuations and short-term overloads, avoiding misoperations during normal overload operation, ensuring that the battery cabinets can continuously and stably supply power to the grid, providing effective energy support for the grid, and ensuring the safe operation of the energy storage system. Description of the Drawings

[0018] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0019] Figure 1 is the system architecture diagram of an energy storage system provided by an embodiment of the present application; Figure 2 is the schematic flowchart of the first grid-side fault handling method based on an intelligent fuse provided by an embodiment of the present application; Figure 3 is the schematic flowchart of the second grid-side fault handling method based on an intelligent fuse provided by an embodiment of the present application; Figure 4 is the schematic flowchart of the third grid-side fault handling method based on an intelligent fuse provided by an embodiment of the present application; Figure 5 is the system architecture diagram of another energy storage system provided by an embodiment of the present application; Figure 6 is the block diagram of the functional units of a grid-side fault handling device based on an intelligent fuse provided by an embodiment of the present application; Figure 7 is the block diagram of the functional units of another grid-side fault handling device based on an intelligent fuse provided by an embodiment of the present application; Figure 8 is the schematic structural diagram of an electronic device proposed by an embodiment of the present application. Detailed implementation manners

[0020] In order to enable those skilled in the art to better understand the solution of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0021] The terms "first", "second", etc. in the description and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0022] Reference to "embodiment" in this context means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of this application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0023] In the scenario where the energy storage system supplies power to the power grid, when the grid-side voltage drops suddenly, adopting a fixed threshold voltage protection strategy, quickly disconnecting the energy storage system from the grid when the voltage is lower than a certain value, it is impossible to distinguish between a fault sag and a normal sag, resulting in unnecessary disconnection from the grid, and the discharge process will be interrupted after disconnection, directly affecting the discharge benefit.

[0024] Furthermore, if the grid-side voltage drops suddenly and the battery cabinet is in the charging state at this time, it will exacerbate the grid energy gap, which is contradictory to the fault handling goal.

[0025] In view of the above problems, the embodiments of this application provide a method and related device for grid-side fault handling based on an intelligent fuse. The embodiments of this application will be introduced in detail below with reference to the drawings.

[0026] Please refer to Figure 1 , Figure 1 which is a system architecture diagram of an energy storage system provided by the embodiments of this application. As Figure 1 shown, the energy storage system 100 includes an energy management server 10, a power conversion system (PCS) 20, and a battery pack 30. Among them, the PCS 20 includes a first intelligent fuse 201; the battery pack 30 includes a plurality of battery cabinets, and each battery cabinet includes an intelligent fuse and a battery management module. For example, the battery pack 30 includes a first battery cabinet 301, a second battery cabinet 302, and a third battery cabinet 303. At the same time, the first battery cabinet 301 includes a second intelligent fuse 3011 and a first battery management module 3012, the second battery cabinet 302 includes a third intelligent fuse 3021 and a second battery management module 3022, and the third battery cabinet 303 includes a fourth intelligent fuse 3031 and a third battery management module 3032.

[0027] Among them, the energy storage converter 20 includes a first port, a second port, and a plurality of third ports. The first port is connected to the grid side, the second port is communicatively connected to the energy management server, a single third port is connected to a single battery cabinet, each intelligent fuse in the battery cabinet is connected to the battery management module, and each battery management module is communicatively connected to the energy management server.

[0028] Among them, when the grid-side voltage drops suddenly, for example, from 400V to 250V suddenly, the first intelligent fuse 201 in the energy storage converter 20 monitors the current and temperature in real time, and the second intelligent fuse 3011, the third intelligent fuse 3021, and the fourth intelligent fuse 3031 in the battery pack 30 synchronously monitor the corresponding branch current and temperature in real time. Through the hard-wired channel, it interacts with the energy management server 10 or the corresponding battery management module, so that the energy management server 10 quickly receives the fault data, makes fault decisions and issues instructions. At the same time, the energy management server 10 continuously monitors the grid voltage, realizes the real-time monitoring of the discharge process and the dynamic adjustment of the parameter threshold of the intelligent fuse, so as to provide effective energy support for the grid, ensure the safe operation of the energy storage system 100, and avoid equipment damage caused by problems such as overcurrent and overheating.

[0029] Based on this, the present application provides a method and related device for grid-side fault handling based on intelligent fuses. The present application will be described in detail below with reference to the accompanying drawings.

[0030] Please refer to Figure 2 , Figure 2 is a schematic flowchart of the first method for grid-side fault handling based on intelligent fuses provided by an embodiment of the present application. As Figure 2 shown, this method is applied to an energy management (Energy Management System, EMS) server in an energy storage system. The energy storage system further includes an energy storage converter and a plurality of battery cabinets. The energy storage converter includes a first intelligent fuse, and a single battery cabinet includes a second intelligent fuse. The second intelligent fuse is communicatively connected to the energy management server. The energy storage converter includes a first port, a second port, and a plurality of third ports. The first port is connected to the grid side, the second port is communicatively connected to the energy management server, and a single third port is connected to the single battery cabinet. The method includes the following steps: S210, receiving first fault information and second fault information sent by the energy storage converter; Among them, the first fault information is used to indicate that the effective value of the grid-side voltage continuously drops below a first threshold within a first preset time, and the second fault information is used to indicate that the instantaneous change rate of the second current value of the second intelligent fuse is greater than a second threshold, and the instantaneous change rate of the second temperature value of the second intelligent fuse is greater than a third threshold.

[0031] Among them, a battery management module is also included in a single battery cabinet. The second intelligent fuse realizes communication connection with the EMS server through the battery management module (Battery Management System, BMS).

[0032] Among them, when the PCS detects that the grid-side voltage drops suddenly and lasts for i milliseconds, it immediately captures the current of the first intelligent fuse in the PCS through an external high-speed sampling module, and at the same time detects the housing temperature of the first intelligent fuse through the temperature sensor in the PCS.

[0033] Among them, the external high-speed sampling module is independent of the control loop of the PCS and sends the detected current of the first intelligent fuse to the PCS.

[0034] Among them, the external high-speed sampling module has higher sampling accuracy and faster response speed. It can sample the current signal multiple times in an extremely short time, accurately capture the instantaneous change of the current, is more timely and accurate than the detection of the intelligent fuse itself, can detect the abnormal surge of the current in the first time, and provides accurate data support for subsequent protection actions.

[0035] Among them, the external high-speed sampling module can also collect rich current data. It can not only judge whether the current surges, but also analyze the characteristics of the current waveform, frequency, etc. Through in-depth processing of these data, it is possible to more comprehensively understand the operating state of the circuit, which helps to accurately judge the reason for the current surge, such as distinguishing whether it is caused by a short circuit, overload or other faults, so as to provide a basis for the PCS to take more appropriate protection measures.

[0036] Among them, by collecting the current of the first intelligent fuse through the high-speed sampling module, the current detection function can be relatively separated from the intelligent fuse, avoiding the possible interference and influence on the detection circuit inside the intelligent fuse, and improving the reliability of the whole system. Moreover, even if the intelligent fuse fails, the high-speed sampling module can still work independently, continue to monitor the current situation, provide additional safety protection for the system, and enhance the stability of the system.

[0037] Among them, at the moment of voltage drop, the PCS may enter the current limiting mode or overload mode to maintain the output power, resulting in a sharp rise in current in a short time, such as reaching 1 to 3 times the rated current. At the same time, the short-time large current impact may cause the internal resistance element of the intelligent fuse to heat up instantly, resulting in an increase in the housing temperature.

[0038] For example, when the grid voltage suddenly drops from 400V to 280V, which is 70% of the rated value, and lasts for 10 milliseconds, the high-speed sampling module samples the current of the first intelligent fuse at a sampling frequency of 100kHz. The sampling result is that the current surges from 500A to 800A. At the same time, the temperature sensor detects a shell temperature of 55°C at a sampling frequency of 1Hz. Among them, 10ms is the duration of transient disturbances that most devices can withstand.

[0039] The collected voltage signal is processed by the PCS to calculate the effective value of the voltage, and the effective value is compared with a preset threshold to determine whether the voltage is within a normal range. For example, the calculation can be performed by a fast Fourier transform algorithm.

[0040] At the same time, the second intelligent fuse in the battery cabinet will detect the corresponding branch current and temperature. For example, if it detects that the corresponding branch current suddenly increases by 60%, from 375A to 600A, and the temperature increases from 45°C to 58°C, and it is determined that the instantaneous change rate of current and the instantaneous change rate of temperature are both greater than the preset thresholds, the abnormality will be reported immediately to the BMS to which it belongs, and then reported to the PCS through the BMS.

[0041] Among them, the PCS receives the second fault information reported by the BMS, and after confirming that the effective voltage value is lower than the threshold, the PCS quickly sends the first fault information and the second fault information to the EMS server. The first fault information includes the real-time voltage on the grid side, and the current value and temperature value of the first smart fuse, and the second fault information includes the current value and temperature value of the second smart fuse.

[0042] In one possible embodiment, when the second intelligent fuse detects the corresponding branch current and temperature, it is determined whether to report the abnormality according to the instantaneous change rate of the current and the difference in temperature. Specifically, the temperature threshold preset in the BMS is obtained, and the difference between the detected temperature and the preset temperature threshold is calculated. When the difference is small, that is, less than the preset threshold, and the instantaneous change rate of the current is high, the abnormality is reported to the BMS to which it belongs.

[0043] In a possible embodiment, after receiving the abnormality reported by the second smart fuse, the BMS will synchronously calculate the state of charge (SOC) of the corresponding battery cabinet, for example, SOC=85%, meet the discharge conditions, mark it as available, and synchronously send it to the EMS server.

[0044] It can be seen that when the grid voltage drops suddenly, the present application can detect faults quickly and accurately. In addition, each intelligent fuse synchronously collects current and temperature, and interacts with EMS or BMS through a hard-wire channel with a delay of less than 5ms, ensuring double insurance for fault judgment.

[0045] S220. Determine the power to be compensated on the grid side and multiple target battery cabinets.

[0046] Among them, the target battery cabinets are used to discharge to the grid side in the current scenario.

[0047] Among them, the EMS server can quickly receive fault information, start the grid support algorithm, calculate and allocate the output power of energy storage devices, fill the power supply gap caused by faults. At the same time, on the premise of meeting the grid support requirements, minimize the loss of energy storage devices and ensure that the energy storage devices operate within the safety threshold to avoid overcharging, over-discharging or equipment damage.

[0048] Among them, according to the analysis of the power state before and after the fault, the power to be compensated on the grid side is determined. An exemplary power to be compensated is 1.2 MW.

[0049] In a possible embodiment, a rapid screening strategy for battery cabinets can be formulated, screened by SOC, and multiple high-state-of-charge battery cabinets can be quickly located. Their SOC ranges from 82.3% to 91.7%, and the total stored energy reaches 4.8 MWh. Then, a multi-dimensional weighted score is performed on the screening results according to the health and response ability ranking, and combined with the calculated power to be compensated, the target number of battery cabinets is screened out.

[0050] Exemplarily, according to the energy stored in the battery cabinets and the calculated power to be compensated, it is determined that 3 battery cabinets need to be screened out. The weight of the health state of the battery cabinets is set to 40%, the weight of the charge and discharge power margin is set to 30%, and the weight of the physical position is set to 30%. Three optimal battery cabinets are screened out, and the battery cabinet numbers are BC-03, BC-17, and BC-29 respectively. Their current output powers are all 0 and they have the condition of immediate response.

[0051] In a possible embodiment, please refer to Figure 3 , Figure 3 is the flowchart of the second grid-side fault handling method based on intelligent fuses provided by the embodiments of the present application. As Figure 3 shown, after determining the power to be compensated on the grid side and multiple target battery cabinets, the method steps further include the following steps: S310. Determine whether there are historical fault hazards in the multiple target battery cabinets.

[0052] Among them, after screening out the battery cabinets, historical data of each battery cabinet is obtained, covering multi-dimensional information such as equipment operation status, electrical parameters, mechanical characteristics, fault records, etc., such as electrical parameter monitoring data such as current and voltage, mechanical state monitoring data, temperature and temperature rise data, operation and fault history records, etc.

[0053] Among them, it is determined whether there have been or there are potential fault hazards before multiple target battery cabinets based on historical data. If there are historical potential fault hazards in a certain target battery cabinet, it is necessary to adjust the protection parameters of the second intelligent fuse in the target battery cabinet to protect the target battery cabinet.

[0054] S320, if there are, obtain the third fault information corresponding to the historical potential fault hazard.

[0055] S330, generate a fifth regulation instruction according to the third fault information, and send the fifth regulation instruction to the target battery cabinet with the historical potential fault hazard.

[0056] Among them, the fifth regulation instruction is used to adjust the range of multiple third protection parameters of the second intelligent fuse.

[0057] Among them, multiple third protection parameters include a fusing threshold and a temperature threshold.

[0058] Among them, the fifth regulation instruction is received by the battery management module in the target battery cabinet, and then the range of multiple protection parameters of the second intelligent fuse in the target battery cabinet is relaxed through the battery management module.

[0059] In a possible embodiment, generating the fifth regulation instruction according to the third fault information includes: determining a first correlation degree between the third fault information and the first fault information; and determining a second correlation degree between the third fault information and the second fault information; determining the fault level of the historical potential fault hazard; generating the fifth regulation instruction according to the first correlation degree, the second correlation degree and the fault level.

[0060] Among them, the first correlation degree and the second correlation degree can be used to determine whether the historical potential fault hazard will affect the regulation strategy under the current fault.

[0061] Specifically, perform structured processing on the third fault information, the first fault information and the second fault information to determine equipment identification, fault type, fault location, occurrence time, duration, trigger condition, treatment measures, maintenance records, etc. Then extract key features, such as common features, including fault type, equipment model, fault location, environmental conditions, etc. Such as timing features, including historical fault occurrence frequency, interval time, time difference from the current fault, etc. Finally, establish a fault causality tree, and match the "parent node → child node" relationship through a rule engine to determine whether there is a causal progressive association, and then determine the correlation degree.

[0062] At the same time, determine the severity of the historical potential fault hazard.

[0063] When both the first correlation degree and the second correlation degree are greater than the preset correlation degree, it is determined that the historical fault hidden danger will affect the current fault, and it is necessary to adjust the protection parameters of the intelligent fuse in the battery cabinet to meet the discharge requirements and ensure the safe operation of the energy storage system.

[0064] In a possible embodiment, the weights corresponding to the first correlation degree, the second correlation degree, and the fault level are determined, and weighted summation is performed to obtain a target value. According to the target value, the adjustment levels of multiple protection parameters of the second intelligent fuse are determined.

[0065] Furthermore, the EMS server will optimize the discharge strategy of the battery cabinet according to the historical fault hidden danger and the current operation status data of the battery cabinet.

[0066] Exemplarily, based on historical data, it is found that the BC-03 battery cabinet once had a potential hazard of contactor adhesion. A special instruction is sent to its BMS to increase the fusing threshold of the second intelligent fuse by 2 times the rated value, relax the temperature threshold to 65°C, and allow short-term large-current discharge. Furthermore, after receiving the regulation instruction, the BC-03 battery cabinet executes the regulation instruction, quickly completes the threshold update, and activates the discharge contactor.

[0067] Among them, the contactor is a key component in the battery cabinet that controls the on-off of the circuit, and is used to start and stop the charge and discharge circuit, isolate faults, etc. The potential hazard of contactor adhesion means that the contactor contacts may adhere due to arc burning, mechanical wear or aging, resulting in out-of-control charge and discharge. Even if the BMS / EMS issues a disconnection instruction, the circuit still remains conductive, which may cause overcharge, over-discharge or short circuit, etc.

[0068] It can be seen that in the embodiment of the present application, referring to historical faults, the thresholds of the intelligent fuses in the battery cabinet are dynamically adjusted, allowing short-term overload, which is beneficial to avoiding unnecessary shutdowns, reducing misoperation losses, improving the operation efficiency of the equipment, and ensuring the safe operation of the energy storage system.

[0069] S230, if it is detected that the power to be compensated is greater than the first preset output power, then according to the first fault information and the second fault information, a first regulation instruction is generated, and the first regulation instruction is sent to the energy storage converter.

[0070] Among them, the first regulation instruction is used to adjust the range of multiple first protection parameters of the first intelligent fuse.

[0071] Among them, when the power grid lacks energy, in order to ensure the power supply of important loads, it is necessary to discharge from the battery cabinets in the energy storage system to the grid side. Therefore, the battery cabinets need to output high power within a short period of time. In this scenario, the operating state of the system may fluctuate, and the current will also change to a certain extent. The intelligent fuse may be mis-triggered to protect due to high-power discharge, thereby affecting the normal power supply of the energy storage system. Therefore, it is necessary to temporarily adjust the protection parameter range of the intelligent fuse to adapt to the overall power demand and protection logic of the system.

[0072] Among them, the first fault information also includes the growth rates of the current value and temperature value of the first intelligent fuse, and the second fault information also includes the growth rates of the current value and temperature value of the second intelligent fuse. According to the above two growth rates, determine the current fault level, and combine with the power to be compensated to determine the adjustment levels of multiple first protection parameters in the first regulation instruction.

[0073] Among them, the multiple first protection parameters include the fusing threshold and the breaking time.

[0074] Exemplarily, increase the fusing threshold of the first intelligent fuse by 1.5 times the rated value, and extend the breaking time from 10 ms to 100 ms, thereby delaying the fusing action and avoiding system interruption caused by misoperation due to short-term abnormal current.

[0075] It can be seen that in this application, increasing the fusing threshold and extending the breaking time of the first intelligent fuse allows the system to withstand overload within a short period of time, avoids fusing due to excessive instantaneous current, enables the fuse to have stronger tolerance for normal current fluctuations and short-term overloads, reduces unnecessary actions, and can better distinguish normal high-load operations and abnormal faults (such as short circuits and overheating), avoiding mis-triggering and improving the stability and reliability of the system.

[0076] Furthermore, after receiving the first regulation instruction, the PCS quickly completes parameter verification and confirmation.

[0077] S240, generate a discharge instruction according to the power to be compensated and the first regulation instruction, and send the discharge instruction to the multiple target battery cabinets.

[0078] Among them, obtain the operating state data of each target battery cabinet, and combine the calculated power to be compensated, the parameter thresholds of the expanded first intelligent fuse, and the parameter thresholds of the expanded second intelligent fuse to generate a discharge strategy.

[0079] Specifically, using the parameter thresholds of the expanded first intelligent fuse and the expanded second intelligent fuse as constraints, construct and solve an objective function according to the operating state data and the power to be compensated, and balance the discharge current of each battery cabinet to avoid a certain fuse triggering protection due to overload, while reducing the overall system loss.

[0080] In a possible embodiment, the parameter thresholds of the enlarged first intelligent fuse, the parameter thresholds of the enlarged second intelligent fuse, and the historical potential fault hazards can be used as constraint conditions, and an objective function can be constructed and solved according to the operation state data and the power to be compensated.

[0081] S250. Determine the voltage recovery progress on the grid side.

[0082] Among them, the EMS server will receive the voltage on the grid side detected by the PCS in real time, and thus understand the voltage recovery progress in real time. Exemplarily, the voltage recovery progress may be: the voltage rises to 300V at 70ms, and the voltage rises to 320V at 100ms, reaching the recoverable threshold set by the system, and the remaining gap is compensated by adjusting the power of other battery cabinets.

[0083] S260. Generate a second regulation instruction according to the voltage recovery progress, and send the second regulation instruction to the energy storage converter and at least one target battery cabinet.

[0084] In a possible embodiment, the generating a second regulation instruction according to the voltage recovery progress and sending the second regulation instruction to the energy storage converter and at least one target battery cabinet includes: detecting that the voltage recovery progress is greater than or equal to a first preset progress, then determining the remaining compensation power according to the voltage recovery progress; detecting that the remaining compensation power is greater than a second preset output power, then generating a power increase instruction and a third regulation instruction for at least one target battery cabinet among the multiple target battery cabinets, and sending the power increase instruction and the third regulation instruction to the at least one target battery cabinet, the power increase instruction is used to indicate increasing the output power of the at least one target battery cabinet, and the third regulation instruction is used to adjust the range of multiple second protection parameters of each second intelligent fuse in at least one second intelligent fuse, and the at least one second intelligent fuse corresponds to the at least one target battery cabinet one by one; detecting that within a second preset time, the voltage recovery progress continuously is greater than or equal to a second preset progress, then generating a fourth regulation instruction for the first intelligent fuse and the at least one second intelligent fuse, and sending the fourth regulation instruction to the energy storage converter and the at least one target battery cabinet, the second preset progress is greater than the first preset progress, and the fourth regulation instruction is used to initialize the protection parameters of the first intelligent fuse and the at least one second intelligent fuse.

[0085] Among them, the EMS continuously monitors the grid voltage. When the voltage recovery progress is greater than or equal to the first preset progress, it is determined that the current voltage recovery progress reaches the first stage. When it is detected that the voltage recovery progress reaches the first stage, the remaining supplementary power is calculated. According to the remaining supplementary power and the second preset output power, it is judged whether the system has the potential to increase power, that is, whether to maximize the use of the power margin of the energy storage system.

[0086] When the remaining supplementary power is greater than the second preset output power, it is determined that the system has the potential to increase power, and there is at least one battery cabinet that can increase the output power. Then, a power increase instruction and a control instruction are sent to a certain battery cabinet or multiple battery cabinets to increase the discharge power, shorten the duration of the grid energy shortage, and increase the discharge income of the energy storage system.

[0087] Specifically, the number of target battery cabinets for sending the power increase instruction can be determined according to the magnitude of the remaining supplementary power.

[0088] Among them, after it is detected that the voltage recovery progress reaches the first stage, the key parameters of each battery cabinet are obtained, including SOC, health status, current output power, communication status, and response speed.

[0089] In a possible embodiment, the target battery cabinets that need to increase the discharge power can be determined according to the SOC priority strategy. Sorting by SOC from high to low, the power increase instruction is preferentially sent to the battery cabinets with high SOC.

[0090] In a possible embodiment, the target battery cabinets that need to increase the discharge power can be determined according to the health status priority strategy. Sorting by health status from high to low, the battery cabinets with high health degree are preferentially called.

[0091] In a possible embodiment, the key parameters can be weighted and summed, sorted by the scores from high to low, and the power increase instruction is preferentially sent to the battery cabinets with high scores. Such as SOC×0.5 + health status×0.3 + response speed×0.2.

[0092] Among them, after determining the target battery cabinets that need to send the power increase instruction, power increase allocation and safety verification are carried out, and then the power increase instruction is sent. The power increase instruction contains the target power value and the execution time.

[0093] Among them, the grid recovery progress is continuously monitored. If a certain battery cabinet cannot meet the power increase requirement subsequently, it is reallocated to the sub-optimal candidate to achieve dynamic adjustment.

[0094] Among them, the power increase instruction will require the battery cabinet to output a greater power, resulting in an increase in the discharge current and an increase in the heat generated by the internal resistance, which may cause the temperature to rise. Furthermore, it is necessary to adjust multiple protection parameters of the second intelligent fuse in the battery cabinet to achieve dynamic matching of the load demand, enabling the intelligent fuse to temporarily withstand the high current and high temperature after the power increase, avoiding protection triggered by instantaneous load fluctuations or normal high-current operations, while retaining the protection ability against abnormal overcurrents.

[0095] Among them, the multiple second protection parameters include the fusing threshold and the allowable short-time overload duration.

[0096] Among them, the regulation level of the multiple second protection parameters of each second intelligent fuse is related to the target power value in the power increase instruction.

[0097] Exemplarily, the first preset progress is 80%. When the voltage recovers to 320V at 100ms, the remaining compensation power is calculated to be 0.8MW. The number of target battery cabinets for which the power increase instruction is issued is determined to be 1, and the target battery cabinet that needs to increase the discharge power is determined to be BC-29. At the same time, the fusing threshold of the second intelligent fuse in the BC-29 battery cabinet is increased to 2.2 times the rated value, and a 50ms short-time overload is allowed.

[0098] Among them, the EMS server also receives the feedback result of the battery cabinet's execution of the instruction. For example, the BC-29 battery cabinet increases the current to 1050A within 150ms, with a temperature of 61°C, and synchronously feedbacks that the power increase is successful.

[0099] In a possible embodiment, after sending the power increase instruction and the third regulation instruction to the at least one target battery cabinet, the method further includes: obtaining the temperature change rate of the multiple second intelligent fuses corresponding to the multiple target battery cabinets; generating a discharge power adjustment instruction according to the temperature change rate, and sending the discharge power adjustment instruction to the energy storage converter.

[0100] Among them, the PCS will synchronously monitor the temperature rise rate, set a temperature rise safety threshold, predict the overheat risk, and then report it to the EMS server, and issue a discharge power adjustment instruction through the EMS server.

[0101] Exemplarily, the temperature rise safety threshold is 0.1°C / ms. It is detected that the temperature rise rate during the discharge process is 0.0467°C / ms, which does not exceed the temperature rise safety threshold and does not need to be reported to the EMS server. If it is detected that the temperature rise safety threshold is exceeded, it will be reported to the EMS server. The EMS server determines that the discharge power needs to be reduced, determines the percentage of the reduced discharge power, and generates a discharge power adjustment instruction.

[0102] It can be seen that in the embodiment of the present application, the overheat risk is predicted through the temperature rise rate, thereby preventing thermal runaway.

[0103] In a possible embodiment, when it is detected that within a second preset time, the voltage recovery progress continuously is greater than or equal to a second preset progress, a fourth regulation instruction for the first intelligent fuse and the at least one second intelligent fuse is generated, and the fourth regulation instruction is sent to the energy storage converter and the at least one target battery cabinet, including: when it is detected that within the second preset time, the voltage recovery progress continuously is greater than the second preset progress, the fourth regulation instruction for the first intelligent fuse is generated, and the fourth regulation instruction for the first intelligent fuse is sent to the energy storage converter; after a preset interval time for generating the fourth regulation instruction for the first intelligent fuse, the fourth regulation instruction for the at least one second intelligent fuse is generated, and the fourth regulation instruction for the at least one second intelligent fuse is sent to the at least one target battery cabinet, and the preset interval time is related to the breaking time of the first intelligent fuse.

[0104] Among them, when it is detected that the voltage recovery progress is greater than the second preset progress, the duration is recorded, and when the duration reaches the second preset time, the EMS starts the reset process and broadcasts a reset instruction to the entire network. First, multiple first protection parameters of the first intelligent fuse in the PCS are initialized, the fusing threshold is restored to 600 A, the breaking time is restored to 10 ms, and a fault log is generated and uploaded. Exemplarily, the second preset progress is 85%.

[0105] Among them, the fault log records the information during the period from detecting the fault to the voltage recovery progress being greater than the second preset progress.

[0106] Among them, after initializing multiple first protection parameters of the first intelligent fuse in the PCS, after a breaking time of 100 ms, the battery cabinet performs a battery voltage check, for example, the single cell is 3.85 V, which is normal, and the check is completed. At the same time, the discharge contactor is closed and equalizing charge is prepared.

[0107] Among them, after another breaking time of 100 ms, the protection parameters of all intelligent fuses are restored, the EMS generates a fault report, and the fault report includes information such as the lowest voltage and the maximum discharge current. And it is synchronously detected whether there is any device damage.

[0108] It can be seen that in the embodiments of the present application, through the cooperation of the first intelligent fuse and multiple second intelligent fuses for fault judgment, it is beneficial to improve the accuracy of fault judgment; at the same time, through the communication relationship between the energy storage converter, multiple battery cabinets, and the energy management server for signaling interaction, the energy management server can monitor the discharge process in real time and dynamically adjust the parameter thresholds of the intelligent fuses. Furthermore, when discharging to the grid side through the battery cabinets, the intelligent fuses can have a stronger tolerance to normal current fluctuations and short-term overloads, avoiding misoperations during normal overload operation, ensuring that the battery cabinets can continuously and stably supply power to the grid, providing effective energy support for the grid, and ensuring the safe operation of the energy storage system.

[0109] At the same time, through the comprehensive decision-making and scheduling of the EMS server, the discharge strategy of the energy storage system can be optimized, and the utilization efficiency and economic benefits of the energy storage system can be improved.

[0110] In a possible embodiment, please refer to Figure 4 , Figure 4 FIG. is a schematic flowchart of a third grid-side fault handling method based on an intelligent fuse provided by an embodiment of the present application. As shown in Figure 4 , the method includes the following steps: S410, Fault perception and data acquisition.

[0111] Among them, please refer to Figure 5 , Figure 5 FIG. is a system architecture diagram of another energy storage system provided by an embodiment of the present application. As shown in Figure 5 , the energy storage system includes an energy management server, an energy storage converter, a high-speed acquisition module, a first battery cabinet, a second battery cabinet, a third battery cabinet, a fourth battery cabinet, and a fifth battery cabinet.

[0112] Among them, the first port of the energy storage converter is connected to the DC bus on the grid side, the second port is communicatively connected to the energy management server, multiple third ports are respectively connected to the first battery cabinet, the second battery cabinet, the third battery cabinet, the fourth battery cabinet, and the fifth battery cabinet, and the fourth port is connected to the high-speed acquisition module.

[0113] Among them, a first intelligent fuse is provided in the energy storage converter. Among them, an intelligent fuse and a battery management module are provided in each battery cabinet. Each intelligent fuse is connected to the corresponding battery management module, and each battery management module is communicatively connected to the energy management server. The first battery cabinet includes a second intelligent fuse and a first battery management module, the second battery cabinet includes a third intelligent fuse and a second battery management module, the third battery cabinet includes a fourth intelligent fuse and a third battery management module, the fourth battery cabinet includes a fifth intelligent fuse and a fourth battery management module, and the fifth battery cabinet includes a sixth intelligent fuse and a fifth battery management module.

[0114] Among them, when the PCS detects that the grid-side voltage suddenly drops from 400V to 280V and lasts for 10ms, the external high-speed sampling module immediately captures the current surge of the first intelligent fuse in the PCS at a sampling frequency of 100kHz, which increases from 500A to 800A. At the same time, the temperature sensor in the PCS is started to detect the shell temperature of the first intelligent fuse, which is 55°C.

[0115] Among them, after the PCS calculates and confirms that the effective value of the voltage is lower than the threshold through the fast Fourier transform algorithm, the PCS sends a fault warning alarm containing voltage, current, temperature and other information to the EMS server within 5ms.

[0116] At the same time, the smart fuse in a battery cabinet detected that the corresponding branch current suddenly increased by 70% and the temperature was 58°C, close to the 60°C threshold preset by the BMS. It immediately reported the abnormality to the BMS to which it belongs. The BMS simultaneously calculated that the SOC of the battery cabinet was 85%, meeting the discharge conditions, marked it as available, and reported it to the EMS server.

[0117] Among them, the completion time of the fault perception and data collection steps is 0-15ms.

[0118] S420, decisions and instructions are issued.

[0119] The EMS server receives fault data transmitted by the PCS and battery management module within 15ms, starts the grid support algorithm, and preferentially screens three battery cabinets with SOC greater than 80%, namely the first battery cabinet, the third battery cabinet, and the fifth battery cabinet, and calculates that 1.3MW of power needs to be supplemented.

[0120] Furthermore, based on historical data, it was found that the third battery cabinet had a risk of contactor adhesion, and a special instruction was sent to its third battery management module to temporarily increase the fuse threshold of the fourth intelligent fuse from 500A to 1000A, and the temperature threshold was relaxed to 65°C, allowing short-term high-current discharge.

[0121] At the same time, a threshold adjustment instruction is sent to the PCS to increase the threshold of the first intelligent fuse from 600A to 900A and extend the breaking time from 10ms to 100ms.

[0122] Furthermore, the PCS completes parameter verification and confirmation within 25 ms, and the fourth intelligent fuse of the third battery cabinet completes threshold update within 30 ms, activating the discharge contactor.

[0123] Among them, the completion time of the decision-making and instruction issuance steps is 15-30ms.

[0124] S430, dynamic support and real-time regulation.

[0125] Among them, after the PCS open busbar, it is monitored that the third battery cabinet discharges at a current of 950A, which does not exceed the 1000A threshold, and the temperature is 63°C, still within the relaxation range.

[0126] Among them, the EMS server continuously monitors the grid voltage. When the voltage rises back to 320V at 100ms, the remaining gap is calculated to be 0.8MW, and a power increase command and a regulation command are sent to the fifth battery cabinet to increase the discharge power. The fusing threshold of the sixth intelligent fuse is temporarily raised to 1100A, allowing a short-term overload for 50ms.

[0127] Among them, the fifth battery cabinet increases the current to 1050A within 150ms, the temperature is 61°C, and synchronously feedbacks the successful power increase.

[0128] Among them, the PCS synchronously monitors the temperature rise rate and makes a pre-judgment on the overheat risk. If the overheat risk is pre-judged, it will be reported to the EMS server, and a command to reduce the discharge power will be sent through the EMS server.

[0129] Specifically, if the PCS pre-judges the overheat risk, it can also actively reduce the discharge power.

[0130] Among them, it is detected that the voltage recovers to 340V at 180ms, and the PCS triggers a 300ms recovery countdown.

[0131] Among them, the completion time of the dynamic support and real-time regulation process is 30 - 180ms.

[0132] S440, system reset and fault archiving.

[0133] Among them, after confirming that the voltage remains up to standard for 120ms, the EMS server starts the reset process at 300ms, broadcasts the reset command to the whole network. The PCS recovers first, that is, the fusing threshold of the first intelligent fuse returns to 600A, the breaking time returns to 10ms, and an 180ms fault log is uploaded.

[0134] Among them, the BMS corresponding to the first battery cabinet, the third battery cabinet, and the fifth battery cabinet respectively complete the battery voltage verification at 400ms, close the discharge contactor and prepare for equalizing charge.

[0135] Among them, at 500ms, all intelligent fuse parameters are reset, the EMS server generates a fault report, records the minimum voltage of 280V at 5ms; the maximum discharge current of 1050A at 150m; and confirms that no device is damaged. The system enters no-load operation for 10 minutes, and it is detected that the temperature of all intelligent fuses is less than or equal to 45°C to complete the hidden fault troubleshooting.

[0136] Among them, the completion time of the system reset and fault archiving steps is 180 - 500ms.

[0137] It can be seen that in this embodiment, dual measurement coordination is achieved. Each intelligent fuse synchronously collects current and temperature, and interacts with the BMS / EMS through a hardwired channel to ensure double insurance for fault judgment. Moreover, dynamic threshold adaptation is realized. According to the progress of grid restoration, the EMS server hierarchically adjusts the thresholds of the intelligent fuses, allowing short-term overloads while preventing thermal runaway through the temperature slope.

[0138] At the same time, fault memory and backtracking can be performed. The PCS records the 180ms fault waveform, the battery cabinet stores the 100ms current curve, and the EMS server can optimize subsequent discharge strategies based on historical data, such as derating the use of the third battery cabinet.

[0139] In addition, this process realizes a 35ms closed-loop from detection to decision-making and then to execution. Compared with traditional solutions, the speed is increased by approximately 5.7 times, and it is ensured that voltage support and system restoration are completed within 150ms, meeting the strict requirements of national standards.

[0140] Consistent with the above embodiment, please refer to Figure 6 , Figure 6 which is a functional unit composition block diagram of a grid-side fault processing device based on an intelligent fuse provided by an embodiment of the present application. As Figure 6 shown, the grid-side fault processing device 60 based on the intelligent fuse includes: a receiving unit 61, configured to receive a first fault message and a second fault message sent by the energy storage converter, where the first fault message is used to indicate that the effective value of the voltage on the grid side continuously drops below a first threshold within a first preset time, and the second fault message is used to indicate that the instantaneous change rate of the second current value of the second intelligent fuse is greater than a second threshold, and the instantaneous change rate of the second temperature value of the second intelligent fuse is greater than a third threshold; a first determination unit 62, configured to determine the power to be compensated on the grid side and a plurality of target battery cabinets, where the target battery cabinets are used to perform a discharging operation towards the grid side in the current scenario; a first generating unit 63, configured to detect that the power to be compensated is greater than a first preset output power, and then generate a first regulation instruction according to the first fault message and the second fault message, and send the first regulation instruction to the energy storage converter, where the first regulation instruction is used to adjust the range of a plurality of first protection parameters of the first intelligent fuse; a second generating unit 64, configured to generate a discharging instruction according to the power to be compensated and the first regulation instruction, and send the discharging instruction to the plurality of target battery cabinets; a second determination unit 65, configured to determine the voltage recovery progress of the grid side; a third generating unit 66, configured to generate a second regulation instruction according to the voltage recovery progress, and send the second regulation instruction to the energy storage converter and at least one target battery cabinet.

[0141] In a possible embodiment, in generating a second regulation instruction according to the voltage recovery progress and sending the second regulation instruction to the energy storage converter and at least one target battery cabinet, the third generating unit 66 is specifically configured to: when it is detected that the voltage recovery progress is greater than or equal to a first preset progress, determine the remaining compensation power according to the voltage recovery progress; when it is detected that the remaining compensation power is greater than a second preset output power, generate a power increasing instruction and a third regulation instruction for at least one target battery cabinet among the plurality of target battery cabinets, and send the power increasing instruction and the third regulation instruction to the at least one target battery cabinet, the power increasing instruction being used to indicate increasing the output power of the at least one target battery cabinet, and the third regulation instruction being used to adjust the range of a plurality of second protection parameters of each of at least one second intelligent fuse, the at least one second intelligent fuse corresponding to the at least one target battery cabinet one by one; when it is detected that within a second preset time, the voltage recovery progress continuously is greater than or equal to a second preset progress, generate a fourth regulation instruction for the first intelligent fuse and the at least one second intelligent fuse, and send the fourth regulation instruction to the energy storage converter and the at least one target battery cabinet, the second preset progress being greater than the first preset progress, and the fourth regulation instruction being used to initialize the protection parameters of the first intelligent fuse and the at least one second intelligent fuse.

[0142] In a possible embodiment, in the aspect that when it is detected that within a second preset time, the voltage recovery progress continuously is greater than or equal to a second preset progress, generate a fourth regulation instruction for the first intelligent fuse and the at least one second intelligent fuse, and send the fourth regulation instruction to the energy storage converter and the at least one target battery cabinet, the third generating unit 66 is specifically further configured to: when it is detected that within the second preset time, the voltage recovery progress continuously is greater than the second preset progress, generate the fourth regulation instruction for the first intelligent fuse, and send the fourth regulation instruction of the first intelligent fuse to the energy storage converter; after a preset interval time for generating the fourth regulation instruction for the first intelligent fuse, generate the fourth regulation instruction for the at least one second intelligent fuse, and send the fourth regulation instruction of the at least one second intelligent fuse to the at least one target battery cabinet, the preset interval time being related to the breaking time of the first intelligent fuse.

[0143] In a possible embodiment, after determining the power to be compensated on the grid side and a plurality of target battery cabinets, the grid-side fault handling device 60 based on intelligent fuses is further specifically configured to: determine whether there are historical fault hazards in the plurality of target battery cabinets; if so, obtain third fault information corresponding to the historical fault hazards; generate a fifth regulation instruction according to the third fault information, and send the fifth regulation instruction to the target battery cabinets with the historical fault hazards, where the fifth regulation instruction is used to adjust the range of a plurality of third protection parameters of the second intelligent fuse.

[0144] In a possible embodiment, in terms of generating the fifth regulation instruction according to the third fault information, the grid-side fault handling device 60 based on intelligent fuses is further specifically configured to: determine a first correlation degree between the third fault information and the first fault information; and determine a second correlation degree between the third fault information and the second fault information; determine the fault level of the historical fault hazard; generate the fifth regulation instruction according to the first correlation degree, the second correlation degree, and the fault level.

[0145] In a possible embodiment, the plurality of first protection parameters include a fusing threshold and a breaking time, the plurality of second protection parameters include the fusing threshold and an allowable short-time overload duration, and the plurality of third protection parameters include the fusing threshold and a temperature threshold; a first adjustment degree of the fusing threshold in the plurality of first protection parameters is different from a second adjustment degree of the fusing threshold in the plurality of second protection parameters, and the second adjustment degree is different from a third adjustment degree of the fusing threshold in the plurality of third protection parameters.

[0146] In a possible embodiment, after sending the power increase instruction and the third regulation instruction to the at least one target battery cabinet, the grid-side fault handling device 60 based on intelligent fuses is further specifically configured to: obtain a temperature change rate of a plurality of second intelligent fuses corresponding to the plurality of target battery cabinets; generate a discharge power adjustment instruction according to the temperature change rate, and send the discharge power adjustment instruction to the energy storage converter.

[0147] It can be understood that since the method embodiment and the device embodiment are different presentation forms of the same technical concept, the content of the method embodiment part in this application should be synchronously adapted to the device embodiment part, and will not be elaborated here.

[0148] In the case of adopting an integrated unit, please refer to Figure 7 , Figure 7 is a functional unit composition block diagram of another grid-side fault handling device based on intelligent fuses provided by an embodiment of this application, as shown in Figure 7As shown, the grid-side fault processing device 60 based on an intelligent fuse includes: a processing module 602 and a communication module 601. The processing module 602 is used to control and manage the operation of the grid-side fault processing device 60 based on an intelligent fuse. For example, it executes the steps of a receiving unit 61, a first determination unit 62, a first generation unit 63, a second generation unit 64, a second determination unit 65, and a third generation unit 66, and / or is used to execute other processes of the technologies described herein. The communication module 601 is used for the interaction between the grid-side fault processing device 60 based on an intelligent fuse and other devices. As Figure 7 shown, the grid-side fault processing device 60 based on an intelligent fuse may further include a storage module 603, and the storage module 603 is used to store the program code and data of the grid-side fault processing device 60 based on an intelligent fuse.

[0149] Among them, the processing module 602 may be a processor or a controller. For example, it may be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in connection with the disclosure of this application. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and so on. The communication module 601 may be a transceiver, an RF circuit, or a communication interface, etc. The storage module 603 may be a memory.

[0150] Among them, all relevant contents of each scenario involved in the above method embodiment can be cited in the function description of the corresponding functional module, and will not be elaborated here. The above grid-side fault processing device 60 based on an intelligent fuse can execute the above Figure 2 shown grid-side fault processing method based on an intelligent fuse.

[0151] Please refer to Figure 8 , Figure 8 is a schematic structural diagram of an electronic device proposed in an embodiment of this application. As Figure 8As shown in the figure, the electronic device 800 includes a processor 810, a memory 820, a communication interface 830, and one or more programs 821. The one or more programs 821 are stored in the memory and are configured to be executed by the processor. When the program is executed, it includes some or all of the steps of any of the grid-side fault handling methods based on intelligent fuses described in the method embodiments. The processor, the memory, and the communication interface are interconnected and complete communication with each other.

[0152] Among them, the memory can be a volatile memory such as a dynamic random access memory (DRAM), or a non-volatile memory such as a mechanical hard disk. The memory is used to store a set of executable program codes, and the processor is used to call the executable program codes stored in the memory and can execute some or all of the steps of any grid-side fault handling method based on intelligent fuses described in the grid-side fault handling method embodiments based on intelligent fuses as described above.

[0153] It can be seen that the electronic device 800 described in the embodiments of the present application first receives the first fault information and the second fault information sent by the energy storage converter. The first fault information is used to indicate that the effective value of the voltage on the grid side continuously drops below the first threshold within the first preset time, and the second fault information is used to indicate that the instantaneous change rate of the second current value of the second intelligent fuse is greater than the second threshold, and the instantaneous change rate of the second temperature value of the second intelligent fuse is greater than the third threshold. Then, it determines the power to be compensated on the grid side and multiple target battery cabinets, and the target battery cabinets are used to perform a discharging operation towards the grid side in the current scenario. After that, when it is detected that the power to be compensated is greater than the first preset output power, according to the first fault information and the second fault information, a first regulation instruction is generated and sent to the energy storage converter. The first regulation instruction is used to adjust the range of multiple first protection parameters of the first intelligent fuse. Then, according to the power to be compensated and the first regulation instruction, a discharging instruction is generated and sent to the multiple target battery cabinets. Next, it determines the voltage recovery progress on the grid side. Finally, according to the voltage recovery progress, a second regulation instruction is generated and sent to the energy storage converter and at least one target battery cabinet.

[0154] In this application, a first intelligent fuse and multiple second intelligent fuses cooperate to perform fault judgment, which is beneficial to improving the accuracy of fault judgment. At the same time, through the communication relationship between the energy storage converter, multiple battery cabinets, and the energy management server, signaling interaction is carried out, enabling the energy management server to monitor the discharge process in real time and dynamically adjust the parameter thresholds of the intelligent fuses. Furthermore, when discharging to the grid side through the battery cabinets, the intelligent fuses can have a stronger tolerance to normal current fluctuations and short-term overloads, avoiding misoperations during normal overload operation, ensuring that the battery cabinets can continuously and stably supply power to the grid, providing effective energy support for the grid, and ensuring the safe operation of the energy storage system.

[0155] An embodiment of this application also provides a computer storage medium. The computer storage medium stores a computer program for electronic data exchange, and the computer program enables the computer to execute some or all of the steps of any of the methods described in the above method embodiments. The above computer includes an electronic device.

[0156] An embodiment of this application also provides a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute some or all of the steps of any of the methods described in the above method embodiments. The computer program product can be a software installation package, and the above computer includes an electronic device.

[0157] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0158] In the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0159] In several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections between each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical or other forms.

[0160] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0161] In addition, in each embodiment of the present application, the functional units can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software program modules.

[0162] If the above-mentioned integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present application. And the aforementioned memory includes: USB flash drives, read-only memories (ROM), random access memories (RAM), mobile hard disks, magnetic disks or optical disks and other media that can store program codes.

[0163] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable memory. The memory can include: flash drives, read-only memories, random access memories, magnetic disks or optical disks, etc.

[0164] The above has introduced the embodiments of the present application in detail. Specific examples are used herein to elaborate on the principle and embodiments of the present application. The description of the above embodiments is only for helping to understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific embodiments and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for handling grid-side faults based on intelligent fuses, characterized in that: An energy management server applied to an energy storage system, the energy storage system further comprising an energy storage converter and a plurality of battery cabinets, the energy storage converter comprising a first intelligent fuse, a single battery cabinet comprising a second intelligent fuse, the second intelligent fuse being communicatively connected to the energy management server, the energy storage converter comprising a first port, a second port and a plurality of third ports, the first port being connected to a grid side, the second port being communicatively connected to the energy management server, and a single third port being connected to the single battery cabinet, comprising: Receive first fault information and second fault information sent by the energy storage converter, the first fault information is used to indicate that the effective value of the voltage on the grid side is continuously lower than a first threshold value within a first preset time, and the second fault information is used to indicate that the instantaneous change rate of the second current value of the second smart fuse is greater than the second threshold value, and the instantaneous change rate of the second temperature value of the second smart fuse is greater than a third threshold value; Determine the power to be compensated on the grid side and a plurality of target battery cabinets, where the target battery cabinets are used to perform a discharge action to the grid side in a current scenario; If it is detected that the power to be compensated is greater than the first preset output power, a first control instruction is generated according to the first fault information and the second fault information, and the first control instruction is sent to the energy storage converter, where the first control instruction is used to adjust the range of multiple first protection parameters of the first smart fuse; Generate a discharge instruction according to the power to be compensated and the first regulation instruction, and send the discharge instruction to the multiple target battery cabinets; Determining the voltage recovery progress on the grid side; A second control instruction is generated according to the voltage recovery progress, and the second control instruction is sent to the energy storage inverter and at least one target battery cabinet.

2. The method according to claim 1, characterized in that The generating a second control instruction according to the voltage recovery progress, and sending the second control instruction to the energy storage converter and at least one target battery cabinet includes: detecting that the voltage recovery progress is greater than or equal to a first preset progress, determining the remaining compensation power according to the voltage recovery progress; When it is detected that the remaining compensation power is greater than the second preset output power, a power increase instruction and a third regulation instruction are generated for at least one target battery cabinet among the multiple target battery cabinets, and the power increase instruction and the third regulation instruction are sent to the at least one target battery cabinet, wherein the power increase instruction is used to instruct to increase the output power of the at least one target battery cabinet, and the third regulation instruction is used to adjust the range of multiple second protection parameters of each second smart fuse in at least one second smart fuse, and the at least one second smart fuse corresponds to the at least one target battery cabinet one by one; If it is detected that within a second preset time, the voltage recovery progress continues to be greater than or equal to the second preset progress, a fourth control instruction is generated for the first smart fuse and the at least one second smart fuse, and the fourth control instruction is sent to the energy storage inverter and the at least one target battery cabinet, the second preset progress is greater than the first preset progress, and the fourth control instruction is used to initialize the protection parameters of the first smart fuse and the at least one second smart fuse.

3. The method according to claim 2, characterized in that The detecting that within the second preset time, the voltage recovery progress continues to be greater than or equal to the second preset progress, generating a fourth control instruction for the first smart fuse and the at least one second smart fuse, and sending the fourth control instruction to the energy storage converter and the at least one target battery cabinet, includes: If it is detected that the voltage recovery progress is continuously greater than the second preset progress within the second preset time, the fourth control instruction for the first smart fuse is generated, and the fourth control instruction of the first smart fuse is sent to the energy storage converter; After generating a preset interval time for the fourth control instruction for the first smart fuse, generate the fourth control instruction for the at least one second smart fuse, and send the fourth control instruction of the at least one second smart fuse to the at least one target battery cabinet, the preset interval time is related to the disconnection time of the first smart fuse.

4. The method according to claim 2, characterized in that After determining the power to be compensated on the grid side and a plurality of target battery cabinets, the method further includes: Determine whether the multiple target battery cabinets have historical failure risks; If yes, obtaining the third fault information corresponding to the historical fault hidden danger; A fifth control instruction is generated according to the third fault information, and the fifth control instruction is sent to the target battery cabinet where the historical fault potential exists, and the fifth control instruction is used to adjust the range of multiple third protection parameters of the second smart fuse.

5. The method according to claim 4, characterized in that The generating a fifth control instruction according to the third fault information comprises: Determining a first degree of association between the third fault information and the first fault information; and determining a second degree of association between the third fault information and the second fault information; Determine the fault level of the historical fault hidden danger; The fifth control instruction is generated according to the first correlation degree, the second correlation degree and the fault level.

6. The method according to claim 4, characterized in that The multiple first protection parameters include a fuse threshold and a disconnection time, the multiple second protection parameters include the fuse threshold and an allowable short-term overload duration, and the multiple third protection parameters include the fuse threshold and a temperature threshold; the first adjustment degree of the fuse threshold in the multiple first protection parameters is different from the second adjustment degree of the fuse threshold in the multiple second protection parameters, and the second adjustment degree is different from the third adjustment degree of the fuse threshold in the multiple third protection parameters.

7. The method according to claim 2, characterized in that: After sending the power increase instruction and the third control instruction to the at least one target battery cabinet, the method further includes: Obtaining temperature change rates of multiple second smart fuses corresponding to the multiple target battery cabinets; A discharge power adjustment instruction is generated according to the temperature change rate, and the discharge power adjustment instruction is sent to the energy storage converter.

8. A power grid side fault processing device based on intelligent fuse, characterized in that: An energy management server applied to an energy storage system, the energy storage system further comprising an energy storage converter and a plurality of battery cabinets, the energy storage converter comprising a first intelligent fuse, a single battery cabinet comprising a second intelligent fuse, the second intelligent fuse being communicatively connected to the energy management server, the energy storage converter comprising a first port, a second port and a plurality of third ports, the first port being connected to a grid side, the second port being communicatively connected to the energy management server, and a single third port being connected to the single battery cabinet, comprising: A receiving unit, configured to receive first fault information and second fault information sent by the energy storage converter, wherein the first fault information is used to indicate that the effective value of the voltage on the grid side is continuously lower than a first threshold value within a first preset time, and the second fault information is used to indicate that the instantaneous change rate of the second current value of the second intelligent fuse is greater than a second threshold value, and the instantaneous change rate of the second temperature value of the second intelligent fuse is greater than a third threshold value; A first determination unit, used to determine the power to be compensated on the grid side and a plurality of target battery cabinets, wherein the target battery cabinets are used to perform a discharge action to the grid side in a current scenario; A first generating unit, configured to detect that the power to be compensated is greater than a first preset output power, generate a first regulating instruction according to the first fault information and the second fault information, and send the first regulating instruction to the energy storage converter, wherein the first regulating instruction is used to adjust the range of multiple first protection parameters of the first smart fuse; A second generating unit, configured to generate a discharge instruction according to the power to be compensated and the first regulation instruction, and send the discharge instruction to the plurality of target battery cabinets; A second determining unit, used to determine the voltage recovery progress of the grid side; The third generating unit is used to generate a second control instruction according to the voltage recovery progress, and send the second control instruction to the energy storage inverter and at least one target battery cabinet.

9. An electronic device, characterized in that: The device comprises: A memory, a processor, and an executable program code stored in the memory and executable on the processor, wherein the processor executes the steps of the grid-side fault handling method based on the intelligent fuse as described in any one of claims 1 to 7 when executing the executable program code.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores executable program code, and the executable program code includes execution instructions, and the execution instructions are used to execute the steps of the grid-side fault processing method based on the smart fuse as described in any one of claims 1-7.

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