A power distribution method, electronic equipment and energy storage system
By using the main battery monitoring unit in the energy storage system to obtain the electrical energy parameters of each energy storage cabinet and generate success rate allocation instructions, the problem of poor power distribution in the energy storage system is solved, and the refined power scheduling and charging and discharge balance of the energy storage system is achieved.
Patent Information
- Application Number
- CN202411095642.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-12
- Publication Date
- 2025-03-11
- Estimated Expiration
- 2044-08-12
AI Technical Summary
The power distribution of multiple energy storage cabinets in the energy storage system is not fine, resulting in large differences in the charging state of the energy storage unit and cannot meet the power scheduling requirements.
The main battery monitoring unit obtains the electrical energy parameters of each energy storage cabinet, generates corresponding power distribution instructions, and realizes refined power scheduling of the energy storage system.
The refined power scheduling of the energy storage system is realized to ensure that the energy storage system can meet the needs of power scheduling and avoid unbalanced charging and discharge of the energy storage unit.
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Figure CN118630840B_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present invention relate to the field of energy storage technology, and in particular to a power distribution method, electronic equipment and energy storage system. Background Art
[0002] The energy storage system is an important component of the new power system and plays an important role in each link of the power grid's generation, transmission, distribution and use.
[0003] In industrial and commercial application scenarios, in order to meet the needs of capacity and power, multiple energy storage units are usually used for expansion. The power distribution and coordinated control of multiple energy storage cabinets usually require an external energy management system (EMS) for scheduling, which has high requirements for on-site installation, wiring, and debugging. In addition, the external EMS usually does not allocate power in a refined manner, resulting in large differences in the state of charge (SOC) of each energy storage unit, causing some energy storage units to be fully charged or emptied at the end of charging and discharging, making the entire energy storage system unable to meet the power scheduling needs. Summary of the invention
[0004] The main technical problem solved by the embodiments of the present invention is to provide a power distribution method, an electronic device and an energy storage system, which can perform refined power distribution on an energy storage system composed of multiple energy storage cabinets, and solve the problem that the energy storage system cannot meet the power scheduling requirements.
[0005] In order to solve the above technical problems, a technical solution adopted in an embodiment of the present invention is: providing a power allocation method, which is applied to a main battery monitoring unit in an energy storage system, including: obtaining the power to be allocated according to the collected power information and a preset energy management strategy; obtaining the first electric energy parameter of each energy storage cabinet in the energy storage system; generating a first allocation instruction corresponding to the energy storage cabinet according to the power to be allocated and the first electric energy parameter; and performing power scheduling on the corresponding energy storage cabinet according to the first allocation instruction.
[0006] In some embodiments, before power scheduling the corresponding energy storage cabinet according to the first allocation instruction, it also includes: obtaining a second electric energy parameter of each energy storage cabinet in the energy storage system; determining whether the first charging power allocation value or the first discharging power allocation value in the corresponding first allocation instruction is greater than the second electric energy parameter; if not, power scheduling the corresponding energy storage cabinet according to the first allocation instruction.
[0007] In some embodiments, if the first charging power allocation value or the first discharging power allocation value is greater than the second electric energy parameter, a corresponding second allocation instruction is generated according to the second electric energy parameter; power scheduling is performed on the corresponding energy storage cabinet according to the second allocation instruction, and the corresponding energy storage cabinet is an excess energy storage cabinet; difference power is generated according to the first allocation instruction and the second allocation instruction; after the allocation of the power to be allocated is completed, power is again allocated to the energy storage cabinet that is not in excess according to the difference power.
[0008] In some embodiments, obtaining the second electrical energy parameter of each energy storage cabinet in the energy storage system includes: obtaining a first power limit value of a battery in the energy storage cabinet and a second power limit value of an energy storage converter; and taking the minimum value between the first power limit value and the second power limit value as the second electrical energy parameter.
[0009] In some embodiments, the re-allocating power to the non-excess energy storage cabinets according to the difference power includes: adding the difference powers corresponding to the respective excess energy storage cabinets to obtain a total difference power; generating a third allocation instruction corresponding to the energy storage cabinet according to the total difference power and the first electric energy parameter of the non-excess energy storage cabinet; and performing power scheduling on the corresponding non-excess energy storage cabinet according to the third allocation instruction.
[0010] In some embodiments, the obtaining of the first electric energy parameter of each energy storage cabinet in the energy storage system includes: determining whether the energy storage cabinet is in a normal working state; if so, obtaining the rated energy, power state information, battery health state, maximum cell voltage and minimum cell voltage of the battery in the energy storage cabinet; determining whether to correct the power state information according to the maximum cell voltage or the minimum cell voltage; if so, correcting the power state information according to a preset cell discharge curve or a preset cell charging curve; the first electric energy parameter includes the rated energy, the battery health state and the power state information or the corrected power state information.
[0011] In some embodiments, determining whether to correct the power status information based on the maximum battery cell voltage or the minimum battery cell voltage includes: when the energy storage cabinet is being charged, determining whether the maximum battery cell voltage is greater than a preset first voltage threshold; when the energy storage cabinet is being charged, determining whether the minimum battery cell voltage is less than a preset second voltage threshold.
[0012] In some embodiments, the energy storage system further includes N-1 slave energy storage cabinets, and generating a first allocation instruction corresponding to the energy storage cabinet according to the power to be allocated and the first electric energy parameter includes:
[0013] The first allocation instruction includes a first charging allocation instruction and a first discharging allocation instruction;
[0014] The first charging power distribution value of the i-th energy storage cabinet is obtained according to the following formula:
[0015]
[0016] Among them, P total is the power to be allocated, E i is the rated energy of the i-th energy storage cabinet, SOH i is the battery health status of the i-th energy storage cabinet, characterizing the capacity decay characteristics of the battery, SOC i is the battery power status information or corrected battery power status information of the i-th energy storage cabinet;
[0017] generating a corresponding first charging allocation instruction according to the first charging power allocation value;
[0018] The first discharge power distribution value of the i-th energy storage cabinet is obtained according to the following formula:
[0019]
[0020] A corresponding first discharge allocation instruction is generated according to the first discharge power allocation value.
[0021] To solve the above technical problems, another technical solution adopted in the embodiment of the present invention is: to provide an electronic device, comprising: at least one processor; at least one network interface, which is communicatively connected to the corresponding processor; and a memory which is communicatively connected to the at least one processor; wherein the network interface is used to establish a communication connection between the processor and other external devices; the memory stores instructions which can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the power allocation method as described above.
[0022] To solve the above technical problems, another technical solution adopted in the embodiment of the present invention is: providing a non-volatile computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are executed by one or more processors, so that the one or more processors can execute the power allocation method as described above.
[0023] In order to solve the above technical problems, another technical solution adopted in the embodiment of the present invention is: providing an energy storage system, comprising: a master energy storage cabinet; N-1 slave energy storage cabinets; the battery monitoring units of the slave energy storage cabinets are interconnected through network ports, the first network port of the battery monitoring unit of the master energy storage cabinet is connected to the electric meter, and the battery monitoring unit of the master energy storage cabinet is connected to the slave energy storage cabinet through the second network port; the battery monitoring unit of the master energy storage cabinet is used to execute the power allocation method as described above.
[0024] The beneficial effect of the embodiments of the present invention is that, different from the prior art, in the embodiments of the present invention, the main battery monitoring unit in the main energy storage cabinet obtains the first electric energy parameter of each energy storage cabinet, generates a corresponding power allocation instruction and sends it to the corresponding energy storage cabinet, thereby realizing refined power scheduling, so that the energy storage system meets the power scheduling requirements. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 is a structural schematic diagram of an energy storage system provided by an embodiment of the present invention;
[0026] Figure 2 It is a schematic flow chart of a power allocation method provided in an embodiment of the present invention;
[0027] Figure 3 yes Figure 2 A schematic diagram of the process of step S200 in the power allocation method;
[0028] Figure 4 It is a charging voltage-SOC curve of a battery cell;
[0029] Figure 5 It is a discharge voltage-SOC curve of a battery cell;
[0030] Figure 6 yes Figure 2 A schematic diagram of the process of step S300 in the power allocation method;
[0031] Figure 7 is a flow chart of another power allocation method provided in an embodiment of the present invention;
[0032] Figure 8 yes Figure 7 A schematic diagram of the process of step S400 in the power allocation method;
[0033] Fig. 9 yes Figure 7 A schematic diagram of the process of step S610 in the power allocation method;
[0034] Fig.10 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0035] In order to facilitate the understanding of the present application, the present application is described in more detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that when an element is described as "fixed to" another element, it can be directly on another element or there can be one or more centered elements therebetween. When an element is described as "connected" to another element, it can be directly connected to another element or there can be one or more centered elements therebetween. The orientation or positional relationship indicated by the terms "upper", "lower", "inner", "outer", "bottom" and the like used in this specification is based on the orientation or positional relationship shown in the accompanying drawings, only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third" and the like are used only for descriptive purposes and cannot be understood as indicating or implying relative importance.
[0036] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used in this specification and in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The term "and / or" used in this specification includes any and all combinations of one or more of the related listed items.
[0037] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.
[0038] The technical solution in this application will be described below in conjunction with the accompanying drawings.
[0039] The embodiment of the present invention provides an energy storage system, the structural diagram of which is shown in FIG. Figure 1 As shown in the figure, the energy storage system consists of N energy storage cabinets, each of which consists of a battery supervision unit (CSU), a battery management unit (CMU), a battery management system (BMS) and a power conversion system (PCS).
[0040] In an embodiment of the present application, the battery management unit in a single energy storage cabinet acts as a local controller, collects data information of the battery management system and the energy storage inverter through CAN communication, and the battery monitoring unit acts as a local energy management system to perform power scheduling on the energy storage inverter in the cabinet.
[0041] In the energy storage system of the embodiment of the present application, the energy storage cabinet 10 is used as the master energy storage cabinet, its battery monitoring unit is used as the master battery monitoring unit 110, and other energy storage cabinets are used as slave energy storage cabinets. There are two Ethernet ports on the battery monitoring unit, so the slave battery monitoring units are interconnected hand in hand through the Ethernet ports, and one Ethernet port of the master battery monitoring unit 110 is connected to another Ethernet port of the slave battery monitoring unit 210.
[0042] Another Ethernet port of the main battery monitoring unit 110 is connected to several electric meters, which are used to monitor key parameters of the power grid or photovoltaic system, such as voltage, current, power factor, active power and reactive power. The main battery monitoring unit 110 is used to sample power information of key nodes in the energy storage system in real time, such as battery charge and discharge power, ambient temperature, grid voltage and current, etc.
[0043] Based on the energy storage system provided in the above embodiment, the embodiment of the present invention provides a power distribution method, which is applied to the main battery monitoring unit in the energy storage system provided in the above embodiment. The flow chart is as follows: Figure 2 As shown, the method specifically comprises the following steps:
[0044] Step S100: obtaining power to be allocated according to the collected power information and a preset energy management strategy.
[0045] Specifically, the main battery monitoring unit collects various power information, including but not limited to key parameters such as battery charge and discharge power, ambient temperature, grid voltage and current. In the embodiment of the present application, the power information can be obtained from the battery management system and energy storage converter of each energy storage cabinet through CAN communication, 485 communication, Ethernet and other communication methods.
[0046] A set of energy management strategies is preset in the main battery monitoring unit. This energy management strategy may take into account multiple conditions such as grid demand, battery status, environmental factors, etc. to determine how to most efficiently distribute and use the electrical energy in the energy storage system. In addition, the main battery monitoring unit also considers the current electricity price information to decide when to charge or discharge. For example, when the electricity price is low, you can consider discharging to save costs; when the electricity price is high, you can consider charging for use during high-price periods.
[0047] Furthermore, in combination with the collected real-time power information and the preset energy management strategy, the main battery monitoring unit calculates the total power value that needs to be allocated to each energy storage cabinet at present, and this power value is the "power to be allocated". It should be noted that each energy storage cabinet includes the main energy storage cabinet.
[0048] In other embodiments, the power to be allocated may also be the total system power issued by an external energy management system.
[0049] Step S200: Acquire the first electric energy parameter of each energy storage cabinet in the energy storage system.
[0050] Specifically, the master battery monitoring unit communicates with each slave battery monitoring unit via an Ethernet connection, and then sends a request to each slave energy storage cabinet, requiring it to upload the current power parameters, which may include the rated energy of the battery, power status information, battery health status, maximum cell voltage and minimum cell voltage, etc., collectively referred to as "first power parameters". The master battery monitoring unit can directly obtain the first power parameters of the energy storage cabinet in which it is located. Each energy storage cabinet responds to the request and uploads the corresponding first power parameters to the master battery monitoring unit.
[0051] Step S300: generating a first allocation instruction corresponding to the energy storage cabinet according to the power to be allocated and the first electric energy parameter.
[0052] Specifically, based on the power to be allocated calculated in step S100 and the first power parameter of each energy storage cabinet, the main battery monitoring unit generates a corresponding power allocation instruction, namely a "first allocation instruction". The first allocation instruction includes the amount of power that each energy storage cabinet should receive or output.
[0053] Step S610: Perform power scheduling on the corresponding energy storage cabinet according to the first allocation instruction.
[0054] The master battery monitoring unit sends the generated first allocation instruction to each slave battery monitoring unit via Ethernet. After each slave battery monitoring unit receives the corresponding first allocation instruction, its internal battery management system adjusts the working state of the energy storage inverter according to the corresponding first allocation instruction to achieve the power input or output specified by the corresponding first allocation instruction.
[0055] In some embodiments of the present application, step S200 specifically includes the following steps, and its flowchart is as follows: Figure 3 As shown:
[0056] Step S210: Determine whether the energy storage cabinet is in a normal working state.
[0057] It should be noted that the basis for power scheduling of energy storage cabinets is that the energy storage cabinets are in normal working condition. Therefore, after obtaining the power to be allocated, it is necessary to identify the working status of each energy storage cabinet first. The conditions for the energy storage cabinet to be in normal working condition include: the energy storage cabinet is in operation; there is no fault in the energy storage cabinet; the battery of the energy storage cabinet has not entered the prohibited charging state or prohibited discharging state. Only energy storage cabinets that meet the above three conditions can be considered to be in normal working condition.
[0058] In the embodiment of the present application, each energy storage cabinet participating in power distribution is in a normal working state.
[0059] Step S220: Acquire the rated energy, power status information, battery health status, maximum cell voltage and minimum cell voltage of the energy storage cabinet battery.
[0060] Specifically, the master battery monitoring unit sends a data acquisition instruction to each slave battery monitoring unit through the Ethernet port, so that each slave battery monitoring unit sends a data request instruction to its corresponding battery management system. After receiving the data request instruction, the corresponding battery management system packages the collected data such as the rated energy, power status information, battery health status, maximum cell voltage and minimum cell voltage of the battery to the slave battery monitoring unit. The slave battery monitoring unit then sends the acquired data packet to the master battery monitoring unit, and the master battery monitoring unit parses the data packet to obtain the rated energy, power status information, battery health status, maximum cell voltage and minimum cell voltage of the battery of each slave energy storage cabinet.
[0061] In addition, the main battery monitoring unit also directly sends data request instructions to its own battery management system to obtain the rated energy, power status information, battery health status, maximum cell voltage and minimum cell voltage of the battery in its own energy storage cabinet.
[0062] Step S230: determining whether to correct the power state information according to the maximum cell voltage or the minimum cell voltage.
[0063] Taking into account the influence of factors such as battery aging, temperature changes, and voltage and current fluctuations during charging and discharging, there may be errors in the battery management system's estimation logic for the charge status information. When the energy storage cabinet approaches the end of charging and discharging, the implementation method of the present application corrects the charging status according to the single cell voltage.
[0064] Specifically, when the energy storage cabinet is in a charging state, it is determined whether the maximum cell voltage is greater than a preset first voltage threshold. If so, it indicates that the power status information needs to be corrected, and step S240 is executed; when the energy storage cabinet is in a discharging state, it is determined whether the minimum cell voltage is less than a preset second voltage threshold. If so, it indicates that the power status information needs to be corrected, and step S240 is executed.
[0065] Step S240: Correcting the power state information according to a preset battery cell discharge curve or a preset battery cell charging curve.
[0066] Specifically, when the energy storage cabinet is in a charging state, the power state information is corrected according to a preset battery cell discharge curve, for example Figure 4 The charging voltage-SOC curve of a lithium iron phosphate battery (LFP) is shown, and the charging state is fitted and corrected for the range above 3.4V at the charging end.
[0067] When the energy storage cabinet is in the discharge state, the power state information is corrected according to the preset battery cell discharge curve, for example Figure 5 The discharge voltage-SOC curve of a lithium iron phosphate battery cell is shown, and the charging state is fitted and corrected in the range below 3.0V at the end of discharge.
[0068] In some embodiments of the present application, step S300 specifically includes the following steps, and its flowchart is as follows: Figure 6 As shown:
[0069] Step S310: Calculate and obtain the first charging power allocation value of the i-th energy storage cabinet.
[0070] Specifically, the first charging power allocation value of the i-th energy storage cabinet is calculated according to the following formula:
[0071] .
[0072] Among them, P total is the power to be allocated, E i is the rated energy of the i-th energy storage cabinet, SOH i is the battery health status of the i-th energy storage cabinet, representing the capacity decay characteristics of the battery, SOC i is the battery power status information or the corrected battery power status information of the i-th energy storage cabinet, and N is the number of energy storage cabinets.
[0073] In other embodiments, considering that the rated energy of each energy storage cabinet is approximately the same, and the battery attenuation rate of the energy storage cabinet can also be considered to be consistent, that is, the battery health status can also be considered to be approximately equal, so the first charging power allocation value of the i-th energy storage cabinet can be calculated by the following formula:
[0074] .
[0075] Step S320: Generate a corresponding first charging allocation instruction according to the first charging power allocation value.
[0076] Step S330: Calculate and obtain the first discharge power distribution value of the i-th energy storage cabinet.
[0077] Specifically, the first discharge power distribution value of the i-th energy storage cabinet is calculated according to the following formula:
[0078] .
[0079] In other embodiments, considering that the rated energy of each energy storage cabinet is approximately the same, and the battery attenuation rate of the energy storage cabinet can also be considered to be consistent, that is, the battery health status can also be considered to be approximately equal, so the first discharge power allocation value of the i-th energy storage cabinet can be calculated by the following formula:
[0080] .
[0081] Step S340: generating a corresponding first discharge allocation instruction according to the first discharge power allocation value.
[0082] Different from the prior art, in the implementation mode of the present invention, the main battery monitoring unit in the main energy storage cabinet obtains the first electric energy parameter of each energy storage cabinet, generates corresponding power allocation instructions and sends them to the corresponding energy storage cabinet, thereby realizing refined power scheduling so that the energy storage system meets the power scheduling requirements.
[0083] Further considering that the load limit information of the energy storage cabinet may cause the energy storage cabinet to be unable to fully respond to the first allocation instruction it receives, thereby causing the problem that part of the power has nowhere to be allocated, the embodiment of the present invention provides another power allocation method, and its flow chart is as follows: Figure 7 As shown, the specific steps include:
[0084] Step S100: obtaining power to be allocated according to the collected power information and a preset energy management strategy.
[0085] Specifically, the main battery monitoring unit collects various power information, including but not limited to key parameters such as battery charge and discharge power, ambient temperature, grid voltage and current, etc. In the embodiment of the present application, the power information is obtained from the battery management system and energy storage converter of each energy storage cabinet through CAN communication.
[0086] A set of energy management strategies is preset in the main battery monitoring unit. This energy management strategy may take into account multiple conditions such as grid demand, battery status, environmental factors, etc. to determine how to most efficiently distribute and use the electrical energy in the energy storage system. In addition, the main battery monitoring unit also considers the current electricity price information to decide when to charge or discharge. For example, when the electricity price is low, you can consider discharging to save costs; when the electricity price is high, you can consider charging for use during high-price periods.
[0087] Furthermore, in combination with the collected real-time power information and the preset energy management strategy, the main battery monitoring unit calculates the power value currently required to be allocated to each energy storage cabinet, which is the "power to be allocated". It should be noted that each energy storage cabinet includes the main energy storage cabinet.
[0088] In other embodiments, the power to be allocated may also be the total system power issued by an external energy management system.
[0089] Step S200: Acquire the first electric energy parameter of each energy storage cabinet in the energy storage system.
[0090] Specifically, the master battery monitoring unit communicates with each slave battery monitoring unit via an Ethernet connection, and then sends a request to each slave energy storage cabinet, requiring it to upload the current power parameters, which may include the rated energy of the battery, power status information, battery health status, maximum cell voltage and minimum cell voltage, etc., collectively referred to as "first power parameters". The master battery monitoring unit can directly obtain the first power parameters of the energy storage cabinet in which it is located. Each energy storage cabinet responds to the request and uploads the corresponding first power parameters to the master battery monitoring unit.
[0091] Step S300: generating a first allocation instruction corresponding to the energy storage cabinet according to the power to be allocated and the first electric energy parameter.
[0092] Specifically, based on the power to be allocated calculated in step S100 and the first power parameter of each energy storage cabinet, the main battery monitoring unit generates a corresponding power allocation instruction, namely a "first allocation instruction". The first allocation instruction includes the amount of power that each energy storage cabinet should receive or output.
[0093] Step S400: Acquire the second electric energy parameter of each energy storage cabinet in the energy storage system.
[0094] Specifically, the master battery monitoring unit sends a data acquisition instruction through the Ethernet port, so that each slave battery monitoring unit obtains the second power parameter of the corresponding energy storage cabinet, and then sends it to the master battery monitoring unit. In addition, the master battery monitoring unit can directly obtain the second power parameter of its own energy storage cabinet.
[0095] Step S500: determining whether the first charging power allocation value or the first discharging power allocation value is greater than the second power parameter.
[0096] Determine whether the first charging power allocation value or the first discharging power allocation value is greater than the second electric energy parameter. If so, it means that the power allocated to the energy storage cabinet exceeds the power that the energy storage cabinet can bear, and there is a surplus in the allocated power, and step S620 is executed; if not, it means that the power allocated to the energy storage cabinet does not exceed the power that the energy storage cabinet can bear, and step S610 is executed.
[0097] Step S610: Perform power scheduling on the corresponding energy storage cabinet according to the first allocation instruction.
[0098] The master battery monitoring unit sends the generated first allocation instruction to each slave battery monitoring unit via Ethernet. After each slave battery monitoring unit receives the corresponding first allocation instruction, its internal battery management system adjusts the working state of the energy storage inverter according to the corresponding first allocation instruction to achieve the power input or output specified by the corresponding first allocation instruction.
[0099] Step S620: Generate a corresponding second allocation instruction according to the second electric energy parameter.
[0100] In the embodiment of the present application, the second electric energy parameter includes the smaller value of the first power limit value of the battery in the energy storage cabinet and the second power limit value of the energy storage cabinet energy storage converter. That is, when the first charging power allocation value or the first discharging power allocation value is greater than the second electric energy parameter, the smaller value of the first power limit value of the battery in the energy storage cabinet and the second power limit value of the energy storage cabinet energy storage converter is used as the second charging power allocation value or the second discharging power allocation value, and the corresponding second allocation instruction is generated accordingly.
[0101] Step S630: power scheduling is performed on the corresponding energy storage cabinet according to the second allocation instruction, and the corresponding energy storage cabinet is an excess energy storage cabinet.
[0102] The corresponding energy storage cabinets are power-scheduled according to the second allocation instruction, the energy storage cabinets that are power-scheduled in response to the second allocation instruction are recorded as excess energy storage cabinets, and the remaining energy storage cabinets are recorded as non-excess energy storage cabinets, and power is not allocated to the excess energy storage cabinets in the subsequent power redistribution process.
[0103] Step S640: Generate difference power according to the first allocation instruction and the second allocation instruction.
[0104] The first charging power allocation value in the first allocation instruction is subtracted from the second charging power allocation value in the second allocation instruction to obtain the difference power; or the first discharging power allocation value in the first allocation instruction is subtracted from the second discharging power allocation value in the second allocation instruction to obtain the difference power.
[0105] Step S650: After the power to be allocated is allocated, power is allocated again to the energy storage cabinets that are not in excess according to the difference power.
[0106] Specifically, after the first round of allocation of the power to be allocated is completed, some energy storage cabinets cannot fully respond to the first allocation instruction, so the remaining power is not allocated, that is, the difference power in step S640, and the corresponding energy storage cabinet is the excess energy storage cabinet. After the remaining difference power of the excess energy storage cabinet is added to obtain the total difference power, the power of the non-excess energy storage cabinet is redistributed according to the allocation method of the first round of the power to be allocated.
[0107] In some embodiments of the present application, step S400 specifically includes the following steps, and its flowchart is as follows: Figure 8 As shown:
[0108] Step S410: Acquire a first power limit value of a battery in an energy storage cabinet and a second power limit value of an energy storage converter.
[0109] Specifically, the master battery monitoring unit sends a data acquisition instruction through the Ethernet port, so that each slave battery monitoring unit obtains the first power limit value and the second power limit value of the corresponding energy storage cabinet, and then sends it to the master battery monitoring unit. In addition, the master battery monitoring unit can directly obtain the first power limit value and the second power limit value of its own energy storage cabinet.
[0110] Step S420: taking the minimum value between the first power limit value and the second power limit value as the second power parameter.
[0111] In some embodiments of the present application, step S650 specifically includes the following steps, and its flowchart is as follows: Fig. 9 As shown:
[0112] Step S651: Add the difference powers corresponding to the excess energy storage cabinets to obtain the total difference power.
[0113] For example, the energy storage system includes 5 energy storage cabinets, among which energy storage cabinet No. 1 is the master energy storage cabinet, and energy storage cabinets No. 2-5 are slave energy storage cabinets. After the first round of power allocation to be allocated is completed, energy storage cabinet No. 1 and energy storage cabinet No. 3 can fully respond to the corresponding first allocation instruction and perform power scheduling. However, energy storage cabinet No. 2, energy storage cabinet No. 4 and energy storage cabinet No. 5 cannot fully respond to the corresponding first allocation instruction and perform power scheduling. Therefore, there is a margin in the first charging power allocation value or the first discharging power allocation value allocated to energy storage cabinet No. 2, energy storage cabinet No. 4 and energy storage cabinet No. 5, which are the second difference power, the fourth difference power and the fifth difference power respectively. After adding the second difference power, the fourth difference power and the fifth difference power, the total difference power is obtained.
[0114] Among them, energy storage cabinet No. 2, energy storage cabinet No. 4 and energy storage cabinet No. 5 are excess energy storage cabinets, and energy storage cabinet No. 1 and energy storage cabinet No. 3 are non-excess energy storage cabinets.
[0115] Step S652: Generate a third allocation instruction corresponding to the energy storage cabinet according to the total power deficit and the first power parameter of the energy storage cabinet that is not in excess.
[0116] Similar to step S300, the third charging power allocation value of the i-th non-overcharged energy storage cabinet can be obtained according to the following formula:
[0117] ,
[0118] generating a corresponding third charging allocation instruction according to the third charging power allocation value;
[0119] Or the third discharge power allocation value of the i-th non-excess energy storage cabinet is obtained according to the following formula:
[0120] ,
[0121] A corresponding third discharge allocation instruction is generated according to the third discharge power allocation value.
[0122] It should be noted that, in this embodiment, P total is the total power difference, and N is the number of energy storage cabinets that are not exceeded.
[0123] Step S653: Perform power dispatch on the corresponding energy storage cabinets that are not over-capacity according to the third allocation instruction.
[0124] The master battery monitoring unit sends the generated third allocation instruction to the slave battery monitoring units of each non-excess energy storage cabinet via Ethernet. After receiving the corresponding third allocation instruction, the internal battery management system will further adjust the working state of the energy storage inverter according to the corresponding third allocation instruction on the basis of the first allocation instruction, so as to realize the power input or output specified by the corresponding third allocation instruction.
[0125] Different from the prior art, in the embodiment of the present invention, the main battery monitoring unit in the main energy storage cabinet obtains the first electric energy parameter of each energy storage cabinet, generates a corresponding power allocation instruction and sends it to the corresponding energy storage cabinet, thereby realizing refined power scheduling so that the energy storage system meets the power scheduling requirements. In addition, the surplus power is redistributed according to the load limit information of the energy storage cabinet, solving the problem that part of the power has nowhere to be allocated due to the load limit of the energy storage cabinet.
[0126] The embodiment of the present invention also provides an electronic device based on the above power distribution method, and its structural diagram is as shown in FIG. Fig.10 As shown, the electronic device 1110 includes:
[0127] One or more processors 1111, network interface 1112, and memory 1113, Fig.10 In the figure, a processor 1111, a network interface 1112 and a memory 1113 are taken as an example.
[0128] The network interface 1112 is in communication with the corresponding processor 1111, and the processor 1111 and the memory 1112 may be connected via a bus or other means. Fig.10 The example of connecting through bus is taken in the following.
[0129] The network interface 1112 is used to establish a communication connection between the processor 1111 and other external devices, including the following types: RJ-45 interface, SC optical fiber interface, AUI interface, FDDI interface, and Console interface.
[0130] The memory 1113 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules. The processor 1111 executes various functional applications and data processing of the electronic device by running the non-volatile software programs, instructions and units stored in the memory 1113, that is, the power allocation method of the above method embodiment is implemented.
[0131] The memory 1113 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 1113 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 1113 may optionally include a memory remotely arranged relative to the processor 1111, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0132] The one or more units are stored in the memory 1113, and when executed by one or more processors 1111, perform the power allocation method in any of the above method embodiments, for example, perform the above described Figure 2 Steps S100 to S600 of the method or Figure 5 The method comprises steps S100 to S610.
[0133] The above electronic device can execute the power allocation method provided in the embodiment of the present invention, and has the corresponding program modules and beneficial effects of the execution method. For technical details not fully described in the electronic device embodiment, please refer to the power allocation method provided in the embodiment of the present invention.
[0134] The embodiment of the present invention further provides a non-volatile computer-readable storage medium, which may be included in the device described in the above embodiment; or may exist independently without being assembled into the device. The above non-volatile computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the power allocation method of the embodiment of the present disclosure is implemented.
[0135] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Under the concept of the present application, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other changes in different aspects of the present application as above, which are not provided in detail for the sake of simplicity. Although the present application has been described in detail with reference to the aforementioned embodiments, a person of ordinary skill in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features can be replaced by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims
1. A power distribution method, applied to a master battery monitoring unit in an energy storage system, wherein the energy storage system includes N-1 slave energy storage cabinets, characterized in that: include: Obtaining the power to be allocated according to the collected power information and the preset energy management strategy; Acquire a first electric energy parameter of each energy storage cabinet in the energy storage system; generating a first allocation instruction corresponding to the energy storage cabinet according to the power to be allocated and the first electric energy parameter; Performing power dispatch on the corresponding energy storage cabinet according to the first allocation instruction; The step of generating a first allocation instruction corresponding to the energy storage cabinet according to the power to be allocated and the first electric energy parameter includes: The first allocation instruction includes a first charging allocation instruction and a first discharging allocation instruction; The first charging power distribution value of the i-th energy storage cabinet is obtained according to the following formula: ,j=1,2,……,N; Among them, P total is the power to be allocated, E i is the rated energy of the i-th energy storage cabinet, SOH i is the battery health status of the i-th energy storage cabinet, SOC i is the battery power status information or corrected battery power status information of the i-th energy storage cabinet; generating a corresponding first charging allocation instruction according to the first charging power allocation value; The first discharge power distribution value of the i-th energy storage cabinet is obtained according to the following formula: ,j=1,2,……,N; A corresponding first discharge allocation instruction is generated according to the first discharge power allocation value.
2. The method according to claim 1, characterized in that Before performing power dispatch on the corresponding energy storage cabinet according to the first allocation instruction, the method further includes: Acquire a second electric energy parameter of each energy storage cabinet in the energy storage system; Determining whether the first charging power allocation value or the first discharging power allocation value in the corresponding first allocation instruction is greater than the second electric energy parameter; If not, power scheduling is performed on the corresponding energy storage cabinet according to the first allocation instruction.
3. The method according to claim 2, characterized in that If the first charging power allocation value or the first discharging power allocation value is greater than the second electric energy parameter, generating a corresponding second allocation instruction according to the second electric energy parameter; Performing power dispatch on the corresponding energy storage cabinet according to the second allocation instruction, where the corresponding energy storage cabinet is an excess energy storage cabinet; generating a difference power according to the first allocation instruction and the second allocation instruction; After the to-be-allocated power is allocated, power is again allocated to the energy storage cabinets that are not in excess according to the difference power.
4. The method according to claim 2, characterized in that: The obtaining of the second electric energy parameter of each energy storage cabinet in the energy storage system includes: Obtaining a first power limit value of a battery in an energy storage cabinet and a second power limit value of an energy storage converter; The minimum value between the first power limit value and the second power limit value is taken as the second electric energy parameter.
5. The method according to claim 3, characterized in that: The re-allocating power to the energy storage cabinets that are not in excess according to the power difference comprises: Add the difference power corresponding to each excess energy storage cabinet to obtain the total difference power; Generate a third allocation instruction corresponding to the energy storage cabinet according to the total power difference and the first power parameter of the energy storage cabinet that is not in excess; Power scheduling is performed on corresponding energy storage cabinets that are not in excess according to the third allocation instruction.
6. The method according to claim 1, characterized in that The obtaining of the first electric energy parameter of each energy storage cabinet in the energy storage system includes: Determine whether the energy storage cabinet is in normal working condition; If yes, obtain the rated energy, power status information, battery health status, maximum cell voltage and minimum cell voltage of the energy storage cabinet battery; Determining whether to correct the power state information according to the maximum battery cell voltage or the minimum battery cell voltage; If yes, the power state information is corrected according to a preset battery cell discharge curve or a preset battery cell charging curve; The first electric energy parameter includes the rated energy, the battery health status, and the power state information or the corrected power state information.
7. The method according to claim 6, characterized in that The determining whether to correct the power state information according to the maximum battery cell voltage or the minimum battery cell voltage includes: When the energy storage cabinet is being charged, determining whether the maximum cell voltage is greater than a preset first voltage threshold; When the energy storage cabinet is in discharge, it is determined whether the minimum cell voltage is less than a preset second voltage threshold.
8. An electronic device, characterized in that: include: at least one processor; at least one network interface, the network interface being communicatively connected to a corresponding processor; as well as, a memory communicatively connected to the at least one processor; wherein, The network interface is used to establish a communication connection between the processor and other external devices; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the power allocation method according to any one of claims 1 to 7.
9. A non-volatile computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, which are executed by one or more processors, so that the one or more processors can execute the power allocation method according to any one of claims 1 to 7.
10. An energy storage system, characterized in that: include: Main energy storage cabinet; N-1 slave energy storage cabinet; The battery monitoring units of the slave energy storage cabinets are interconnected through network ports, the first network port of the battery monitoring unit of the master energy storage cabinet is connected to the electric meter, and the battery monitoring unit of the master energy storage cabinet is connected to the slave energy storage cabinet through the second network port; The battery monitoring unit of the main energy storage cabinet is used to execute the power distribution method as described in any one of claims 1-7.
Citation Information
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