Load control method, device, control platform and storage medium of energy storage system

By obtaining power grid data and load equipment performance indicators in the energy storage system, calculating comprehensive index values ​​and sorting them, and generating a priority load list, the problem of poor flexibility in load equipment power supply control when the power grid is off-grid is solved, and the flexible and stable power supply of load equipment is achieved.

CN118713088BActive Publication Date: 2025-04-04QINGDAO NAHUI ENERGY TECH CO LTD
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Patent Information

Application Number
CN202410788627.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2024-04-30
Filing Date
2024-06-18
Publication Date
2025-04-04
Estimated Expiration
2044-06-18

AI Technical Summary

Technical Problem

The prior art cannot effectively control the power supply of general load equipment when the power grid is off-grid, resulting in poor flexibility in load equipment control.

Method used

By obtaining the power grid data of the energy storage system and the performance indicators of the load equipment, calculating the comprehensive index values ​​and sorting them, a priority load list is generated, and the load start list is determined based on the remaining power of the battery pack, and whether to start the load equipment is determined based on the inverter power.

Benefits of technology

Improves flexibility in load equipment control, avoids power supply to only critical load equipment, and ensures stable power supply of load equipment when the power grid is off-grid.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application provides a load control method, device, control platform and storage medium for an energy storage system, which relate to the field of intelligent control of energy storage systems. The method includes: obtaining the grid status of the energy storage system, and if it is off-grid, determining multiple performance indicators based on the device identification of each load device in the energy storage system; then calculating the comprehensive index value and importance value of each load device; sorting all load devices in descending order according to the importance value, and dividing all load devices according to the sorting result to obtain multiple priority load lists; determining one or more priority load lists that meet the remaining power of the battery pack in the energy storage system from the multiple priority load lists as the load start-up list; calculating the total start-up power based on the load start-up list; if the total start-up power is less than or equal to the inverter power of the inverter of the energy storage system, then starting all load devices in the load start-up list. The method of the present application improves the flexibility of load control.
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Description

[0001] This application claims priority to a Chinese patent application filed with the Chinese Patent Office on April 30, 2024, with application number 202410542926.7 and application name “Load control method, device, control platform and storage medium for energy storage system”, the entire contents of which are incorporated by reference in this application. Technical Field

[0002] The present application belongs to the field of intelligent control of energy storage systems, and specifically relates to a load control method, device, control platform and storage medium for an energy storage system. Background Art

[0003] In the current energy environment, home energy storage systems are gradually gaining attention as an important energy management solution. When the power grid in the energy storage system is disconnected, the battery pack supplies power to multiple load devices through the inverter to ensure that the load devices are powered on.

[0004] In the prior art, when the power grid is off-grid, in order to ensure that the key load equipment is continuously powered, the key load equipment is usually powered by outputting electric energy through the EPS port of the inverter.

[0005] However, this method cannot control the power supply of general load devices, resulting in poor flexibility in load device control. Summary of the invention

[0006] In order to solve the above-mentioned problems in the prior art, that is, to solve the problem of poor flexibility in load device control in the prior art, the present application provides a load control method, device, control platform and storage medium for an energy storage system.

[0007] In a first aspect, the present application proposes a load control method for an energy storage system, comprising:

[0008] Obtain the grid data of the energy storage system and input the grid data into a pre-trained grid status detection model to output the grid status.

[0009] If the grid state is determined to be an off-grid state, the device identification of each load device in the energy storage system is obtained.

[0010] According to the device identification, multiple performance indicators corresponding to each load device are obtained.

[0011] Based on multiple performance indicators, the comprehensive indicator value of each load device is calculated.

[0012] The comprehensive index value is input into the importance model to output the importance value of each load device.

[0013] All load devices are sorted in descending order according to the importance values, and all load devices are divided according to the sorting results to obtain multiple priority load lists.

[0014] Get the remaining power of the battery pack in the energy storage system.

[0015] One or more priority load lists that satisfy the remaining power of the battery pack are determined from the multiple priority load lists as the load startup list.

[0016] Calculate the total starting power based on the load starting list.

[0017] If the total startup power is less than or equal to the inverter power of the inverter of the energy storage system, all load devices in the load startup list are started.

[0018] In a possible design, the comprehensive index value of each load device is calculated based on multiple performance indicators, including: obtaining multiple sample data of multiple performance indicators, wherein each sample data contains the index value corresponding to each performance indicator; constructing an index matrix of multiple sample data, and obtaining a standard index matrix of the index matrix through a standardization method; calculating the difference coefficient of each performance indicator according to the standard index matrix; calculating the weight of each performance indicator according to the difference coefficient of each performance indicator. According to the index value of each performance indicator and the weight of each performance indicator, the comprehensive index value of each load device is calculated by a weighted summation method.

[0019] In one possible design, the coefficient of difference of each performance indicator is calculated according to the standard indicator matrix, and the calculation formula is:

[0020]

[0021] In the formula, n represents the number of sample data, p ij It represents the proportion of the index value corresponding to the jth performance index of the i-th sample data in the standard index matrix to the jth performance index, d j represents the coefficient of variation of the j-th performance indicator.

[0022] In a possible design, the proportion of the indicator value corresponding to the jth performance indicator of the i-th sample data in the standard indicator matrix to the j-th performance indicator is calculated as follows:

[0023]

[0024] In the formula, n represents the number of sample data, x ij Represents the index value corresponding to the jth performance index of the i-th sample data in the standard index matrix.

[0025] In a possible design, the weight of each performance indicator is calculated according to the coefficient of difference of each performance indicator, including:

[0026]

[0027] Where, d j represents the coefficient of difference of the jth performance indicator, m represents the number of multiple performance indicators, and w j represents the weight of the jth performance indicator.

[0028] In one possible design, the importance model is formulated as:

[0029]

[0030] In the formula, x represents the comprehensive index value; a represents the center position of the function; c represents the control parameter, which controls the slope of the function.

[0031] In a possible design, before obtaining the device identification of each load device in the energy storage system, it also includes: pre-setting a first remaining power threshold, a second remaining power threshold and a third remaining power threshold; wherein the first remaining power threshold is greater than the second remaining power threshold, and the second remaining power threshold is greater than the third remaining power threshold; pre-setting a first load total power threshold and a second load total power threshold; wherein the first load total power threshold is greater than the second load total power threshold; accordingly, determining one or more priority load lists that meet the remaining power of the battery pack from multiple priority load lists as a load startup list, including: obtaining the load power of each priority load list; if the remaining power is lower than the first remaining power threshold and higher than the second remaining power threshold, reducing the power of the load device that can be adjusted Power, and determine multiple priority load lists as load startup lists; if the remaining power is lower than the second remaining power threshold and higher than the third remaining power threshold, the load powers of each priority load list are accumulated in turn according to the priority from high to low; the maximum value of all load power accumulation values ​​that exceed the second load total power threshold but do not exceed the first load total power threshold is obtained, and each priority load list involved in the maximum value is determined as the load startup list; if the remaining power is lower than the third remaining power threshold, the load powers of each priority load list are accumulated in turn according to the priority from high to low; the maximum value of all load power accumulation values ​​that do not exceed the second load total power threshold is obtained, and each priority load list involved in the maximum value is determined as the load startup list.

[0032] In a possible design, the total startup power is calculated according to the load startup list, including: determining multiple load devices in the load startup list as multiple load devices to be started; obtaining the load power and load factor of each load device to be started; wherein the load factor is set according to the type of each load device to be started; and calculating the power of each load device to be started according to the load power and the load factor to obtain the total startup power.

[0033] In a possible design, the power of each load device to be started is calculated according to the load power and the load factor to obtain the total starting power. The calculation formula is:

[0034]

[0035] Wherein, P represents the total starting power, n represents the number of load devices to be started, and i represents the i-th load device to be started.

[0036] In a possible design, after calculating the total startup power according to the load startup list, it also includes: if the total startup power is greater than the inverter power, obtaining the difference power between the inverter power and the total startup power; detecting whether the photovoltaic equipment of the energy storage system is available; if the photovoltaic equipment is available, adjusting the control parameters through the maximum power point tracking algorithm to provide the difference power to start all the load devices in the load startup list.

[0037] In a second aspect, the present application provides a load control device for an energy storage system, comprising:

[0038] The first acquisition module is used to acquire the grid data of the energy storage system, and input the grid data into a pre-trained grid state detection model to output the grid state.

[0039] The determination module is used to obtain the device identification of each load device in the energy storage system if the grid state is determined to be an off-grid state.

[0040] The second acquisition module is used to acquire multiple performance indicators corresponding to each load device according to the device identification.

[0041] The first calculation module is used to calculate the comprehensive index value of each load device according to multiple performance indicators.

[0042] The output module is used to input the comprehensive index value into the importance model to output the importance value of each load device.

[0043] The third acquisition module is used to sort all load devices in descending order according to the importance values, and divide all load devices according to the sorting results to obtain multiple priority load lists.

[0044] The fourth acquisition module is used to obtain the remaining power of the battery pack in the energy storage system.

[0045] The determination module is used to determine one or more priority load lists that meet the remaining power of the battery pack from the multiple priority load lists as the load startup list.

[0046] The second calculation module is used to calculate the total startup power according to the load startup list.

[0047] The startup module is used to start all load devices in the load startup list if the total startup power is less than or equal to the inverter power of the inverter of the energy storage system.

[0048] In a third aspect, the present application provides a control platform, including: a memory, a processor;

[0049] The memory stores computer-executable instructions;

[0050] The processor executes the computer execution instructions stored in the memory, so that the processor executes the load control method of the energy storage system as described in the first aspect and various possible designs of the first aspect.

[0051] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the load control method of the energy storage system as described in the first aspect and various possible designs of the first aspect.

[0052] The present application provides a load control method, device, control platform and storage medium for an energy storage system. If the power grid state is determined to be an off-grid state, the device identification of each load device in the energy storage system when the power grid is off-grid is obtained to determine multiple performance indicators; the importance value of each load device is obtained through a series of calculations based on the multiple performance indicators, and all load devices are sorted in descending order and divided according to the importance value to obtain multiple priority load lists; one or more priority load lists that meet the remaining power of the battery pack are determined from the multiple priority load lists as the load startup list. If the total startup power is less than or equal to the inverter power of the inverter of the energy storage system, all load devices in the load startup list are started. Avoid powering only the load devices in the critical load, thereby improving the flexibility of load device control. In addition, by standardizing the indicator matrix, the difference coefficient of each performance indicator is calculated, and then the weight and comprehensive indicator value are calculated, which improves the accuracy of the comprehensive indicator value and provides accurate data support for load control. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0054] Figure 1 It is a schematic diagram of an application scenario of the load control method of the energy storage system provided in an embodiment of the present application;

[0055] Figure 2 is a flow chart of a load control method for an energy storage system provided in an embodiment of the present application;

[0056] Figure 3 is a structural schematic diagram of a load control device of an energy storage system provided in an embodiment of the present application;

[0057] Figure 4 It is a schematic diagram of the structure of the control platform provided in the embodiment of the present application.

[0058] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0060] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein, for example, can be implemented in an order other than those illustrated or described herein.

[0061] In the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0062] In the prior art, in order to ensure the continuous power supply of key load devices when the power grid is off-grid, the key load devices are usually powered by outputting power through the EPS port of the inverter. However, this method cannot control the power supply of general load devices, resulting in poor flexibility in load device control.

[0063] In response to the above problems, an embodiment of the present application proposes a load control method for an energy storage system, which sorts all load devices in descending order according to the importance value of each load device, and divides all load devices according to the sorting result to obtain multiple priority load lists, and determines one or more priority load lists that meet the remaining power of the battery pack from the multiple priority load lists as the load start-up list, which can avoid powering only the load devices in the critical load, thereby improving the flexibility of load device control.

[0064] Figure 1 Schematic diagram of an application scenario of the load control method of the energy storage system provided in the embodiment of the present application. Figure 1 As shown, in the scenario of this embodiment, the energy storage system includes a power grid, an inverter, a battery pack, a photovoltaic device, a control platform, and multiple load devices. When it is determined that the power grid of the energy storage system is off-grid, the battery pack supplies power to multiple load devices through the inverter; the control platform is used to determine the load startup list, where the load startup list includes multiple load devices. If the total startup power is less than or equal to the inverter power of the inverter of the energy storage system, all load devices in the load startup list are started; if the total startup power is greater than the inverter power, the photovoltaic device is connected to provide the difference power.

[0065] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0066] Figure 2 is a flow chart of a load control method for an energy storage system provided in an embodiment of the present application, such as Figure 2 As shown, the load control method of the energy storage system provided in this embodiment includes:

[0067] S201: Obtain grid data of the energy storage system, and input the grid data into a pre-trained grid status detection model to output the grid status.

[0068] Among them, the power grid is a unified whole connecting power generation and consumption, consisting of transmission, transformation, distribution equipment and corresponding auxiliary equipment. It is an intermediate link in the transmission and distribution of electric energy.

[0069] Optionally, the power grid data includes but is not limited to voltage, current, power factor, frequency, etc. The power grid data can be obtained through devices such as sensors and smart meters.

[0070] Specifically, the power grid data is cleaned and feature data is extracted from the cleaned power grid data; a model is trained by combining feature data of historical power grid data and feature data of known power grid states through a machine learning algorithm or a time series algorithm to obtain a trained power grid state detection model.

[0071] S202: If it is determined that the grid state is an off-grid state, then obtain the device identification of each load device in the energy storage system.

[0072] In this embodiment, after the power grid is disconnected, the power grid cannot be used to supply power to the load devices in the energy storage system.

[0073] S203: Acquire multiple performance indicators corresponding to each load device according to the device identifier.

[0074] Optionally, the performance indicator may be load power demand, energy efficiency, power factor, response time, reliability and safety, etc.

[0075] S204: Calculate the comprehensive index value of each load device according to the multiple performance indicators.

[0076] Specifically, step S204 includes steps Sa to Se:

[0077] Sa: obtain multiple sample data of multiple performance indicators, where each sample data includes an indicator value corresponding to each performance indicator.

[0078] Sb: Construct an indicator matrix of multiple sample data and obtain a standard indicator matrix of the indicator matrix through a standardization method.

[0079] Among them, the standardization method is to eliminate the influence of different performance indicator dimensions and units so that the performance indicators can be compared.

[0080] Optionally, the normalization method may be range normalization or Z-score normalization.

[0081] Sc: Calculate the coefficient of variation of each performance indicator based on the standard indicator matrix.

[0082] Among them, the coefficient of variation is an important parameter used to measure the degree of difference between various indicators. The coefficient of variation reflects the degree of variation between various indicators. The larger the coefficient of variation, the greater its role in the decision-making process.

[0083] Specifically, the coefficient of difference of each performance index is calculated as follows:

[0084]

[0085] In the formula, n represents the number of sample data, p ijIt represents the proportion of the index value corresponding to the jth performance index of the i-th sample data in the standard index matrix to the jth performance index, d j represents the coefficient of variation of the j-th performance indicator.

[0086] Specifically, the proportion of the index value corresponding to the jth performance index of the i-th sample data to the j-th performance index is calculated as follows:

[0087]

[0088] In the formula, n represents the number of sample data, x ij Represents the index value corresponding to the jth performance index of the i-th sample data in the standard index matrix.

[0089] Sd: Calculate the weight of each performance indicator based on the coefficient of difference of each performance indicator.

[0090] Specifically, the formula for calculating the weight of each performance indicator is:

[0091]

[0092] Where, d j represents the coefficient of difference of the jth performance indicator, m represents the number of multiple performance indicators, and w j represents the weight of the jth performance indicator.

[0093] Se: According to the index value of each performance index and the weight of each performance index, the comprehensive index value of each load device is calculated by weighted summation method.

[0094] S205: Input the comprehensive index value into the importance model to output the importance value of each load device.

[0095] In this embodiment, the formula of the importance model is:

[0096]

[0097] In the formula, x represents the comprehensive index value; a represents the center position of the function; c represents the control parameter, which controls the slope of the function.

[0098] Optionally, the importance value ranges from 0 to 1.

[0099] S206: Sort all load devices in descending order according to the importance values, and divide all load devices according to the sorting results to obtain multiple priority load lists.

[0100] For example, there are 8 load devices in the energy storage system, and the descending sorting results are 0.8, 0.8, 0.7, 0.5, 0.4, 0.3, 0.2 and 0.2. The load devices with importance values ​​of 0.8 to 1 are divided into the first priority load list; the load devices with importance values ​​of 0.5 to 0.7 are divided into the second priority load list; the load devices with importance values ​​of 0.3 to 0.4 are divided into the third priority load list. The load devices with importance values ​​of 0 to 0.2 are divided into the fourth priority load list. That is, there are two load devices in the first priority load list, and the importance values ​​are 0.8 and 0.8 respectively; there are two load devices in the second priority load list, and the importance values ​​are 0.5 and 0.7 respectively; there are two load devices in the third priority load list, and the importance values ​​are 0.4 and 0.3 respectively; there are two load devices in the fourth priority load list, and the importance values ​​are 0.2 and 0.2 respectively.

[0101] S207: Obtain the remaining power of the battery pack in the energy storage system.

[0102] In this embodiment, after the grid is disconnected, the battery pack in the energy storage system supplies power to each load device through the AC Grid port of the inverter.

[0103] S208: Determine one or more priority load lists that satisfy the remaining power of the battery pack from the multiple priority load lists as a load startup list.

[0104] Specifically, a first remaining power threshold, a second remaining power threshold and a third remaining power threshold are pre-set; wherein the first remaining power threshold is greater than the second remaining power threshold, and the second remaining power threshold is greater than the third remaining power threshold; a first load total power threshold and a second load total power threshold are pre-set; wherein the first load total power threshold is greater than the second load total power threshold.

[0105] Optionally, the first remaining power threshold is E1, the second remaining power threshold is E2, the third remaining power threshold is E3, and E1>E2>E3. The first load total power threshold is TP1, the second load total power threshold is TP2, and TP1>TP2. When the remaining power is E2, the maximum limit of the load total power is TP1; when the remaining power is E3, the maximum limit of the load total power is TP2.

[0106] Specifically, the load power of each priority load list is obtained.

[0107] Exemplarily, the load power of the first priority load list is P1, the load power of the second priority load list is P2, the load power of the third priority load list is P3, and the load power of the fourth priority load list is P4.

[0108] In this embodiment, the remaining power of the battery pack is divided into three situations, which are described in detail as follows:

[0109] Case 1: If the remaining power is lower than the first remaining power threshold and higher than the second remaining power threshold, the power of the power-adjustable load device is reduced, and the multiple priority load lists are determined as the load startup list.

[0110] Exemplarily, if E1>remaining power>E2, the power of the power-adjustable load device is reduced, and the first priority load list, the second priority load list, the third priority load list and the fourth priority load list in step S206 are determined as the load startup list.

[0111] Case 2: If the remaining power is lower than the second remaining power threshold and higher than the third remaining power threshold, the load power of each priority load list is accumulated in sequence from high to low priority; the maximum value of the accumulated values ​​of all load powers that exceed the second load total power threshold but do not exceed the first load total power threshold is obtained, and the priority load lists involved in the maximum value are determined as the load startup list.

[0112] In this embodiment, if E2>remaining power>E3, the load powers of the load lists of each priority level are accumulated in order from high to low priority. Because the maximum limit of the total load power is the first load total power threshold TP1, the maximum value of the accumulated load power should be selected when TP1>load power accumulated value>TP2 is satisfied, and as many load startup lists as possible are determined from multiple priority load lists.

[0113] Exemplarily, if E2>remaining power>E3, the load powers of the first priority load list, the second priority load list, the third priority load list and the fourth priority load list are accumulated in sequence. There are two cases: TP1>P1+P2+P3>TP2 and TP1>P1+P2>TP2. The maximum value of the accumulated load power, P1+P2+P3, is taken, and the first priority load list, the second priority load list and the third priority load list involved in P1+P2+P3 are determined as the load startup list.

[0114] Case three: If the remaining power is lower than the third remaining power threshold, the load power of each priority load list is accumulated in sequence from high to low priority; the maximum value of all load power accumulation values ​​that do not exceed the second load total power threshold is obtained, and the priority load lists involved in the maximum value are determined as the load startup list.

[0115] In this embodiment, if E3>remaining power, the load powers of the load lists of each priority level are accumulated in order from high to low priority. Because the maximum limit of the total load power is the second total load power threshold TP2, the maximum value of the accumulated load power is selected when TP2>load power accumulation value is satisfied, and as many load startup lists as possible are determined from multiple priority load lists.

[0116] For example, if E3>remaining power, the load powers of the first priority load list, the second priority load list, the third priority load list and the fourth priority load list are accumulated in sequence. If there is only one case where TP2>P1, the first priority load list involved in P1 is determined as the load startup list.

[0117] S209: Calculate the total startup power according to the load startup list.

[0118] Specifically, multiple load devices in the load startup list are determined as multiple load devices to be started; the load power and load factor of each load device to be started are obtained; wherein the load factor is set according to the type of each load device to be started; and the power of each load device to be started is calculated according to the load power and the load factor to obtain the total startup power.

[0119] The load factor is a parameter used to describe the working characteristics of the load device. The setting of the load factor needs to consider factors such as the energy efficiency, starting current and thermal characteristics of the device.

[0120] In this embodiment, the power of each load device to be started is calculated according to the load power and the load factor to obtain the calculation formula of the total starting power:

[0121]

[0122] Wherein, P represents the total starting power, n represents the number of load devices to be started, and i represents the i-th load device to be started.

[0123] S210: If the total startup power is less than or equal to the inverter power of the inverter of the energy storage system, all load devices in the load startup list are started.

[0124] Among them, the inverter plays a key role in the energy storage system to convert direct current into alternating current for use by load devices.

[0125] Specifically, if the total startup power is less than or equal to the inverter power of the inverter of the energy storage system, it means that this is because the inverter can handle the total power required by these devices without overloading or failing.

[0126] In summary, according to the importance value of each load device, multiple priority load lists are determined, and one or more priority load lists are determined as the load start-up list according to the remaining power of the battery pack. By determining that the total startup power of the load start-up list is less than or equal to the inverter power of the inverter of the energy storage system, all load devices in the load start-up list are started. This avoids the situation where only the load devices in the critical load are powered and general load devices cannot be powered, thereby improving the flexibility of load control. In addition, multiple remaining power thresholds and multiple load total power thresholds are set, and different load start-up lists are determined according to different remaining power situations, further improving the flexibility of load control. In addition, by standardizing the indicator matrix, the difference coefficient of each performance indicator is calculated, and then the weight and comprehensive indicator value are calculated, which improves the accuracy of the comprehensive indicator value and provides accurate data support for load control.

[0127] Based on the above embodiment, this embodiment introduces how to handle the process of starting the inverter power of the inverter of the energy storage system with a total power greater than that of the inverter, which is described in detail as follows:

[0128] S301: If the total startup power is greater than the inverter power, the difference power between the inverter power and the total startup power is obtained.

[0129] The difference power represents the power demand that cannot be met by the inverter, which is obtained by subtracting the inverter power from the total startup power.

[0130] S302: Detect whether the photovoltaic equipment of the energy storage system is available.

[0131] Among them, photovoltaic equipment is a device that can convert solar energy into electrical energy. If it is in normal working condition and there are sufficient sunshine conditions, it can be used to provide electricity.

[0132] S303: If the photovoltaic device is available, adjust the control parameters through the maximum power point tracking algorithm to provide the difference power to start all the load devices in the load start list.

[0133] Among them, Maximum Power Point Tracking (MPPT) maximizes the output power by adjusting the output voltage and current. By adjusting the MPPT control parameters, the output power of the photovoltaic device reaches the required differential power.

[0134] In summary, when the total startup power is greater than the inverter power, in order to avoid inverter overload, damage to equipment or affect the power quality, the available photovoltaic equipment is used to provide the difference power, thereby ensuring that there is sufficient power supply when starting all load devices in the load startup list, further improving the flexibility of load control.

[0135] Figure 3 is a schematic diagram of the structure of a load control device of an energy storage system provided in an embodiment of the present application, such as Figure 3 As shown, the load control device of the energy storage system provided in this embodiment includes: a first acquisition module 301, a determination module 302, a second acquisition module 303, a first calculation module 304, an output module 305, a third acquisition module 306, a fourth acquisition module 307, a determination module 308, a second calculation module 309 and a start module 310.

[0136] The first acquisition module 301 is used to acquire the grid data of the energy storage system, and input the grid data into a pre-trained grid state detection model to output the grid state.

[0137] The determination module 302 is used to obtain the device identification of each load device in the energy storage system if it is determined that the power grid state is an off-grid state;

[0138] The second acquisition module 303 is used to acquire multiple performance indicators corresponding to each load device according to the device identification;

[0139] A first calculation module 304 is used to calculate the comprehensive index value of each load device according to multiple performance indicators;

[0140] The output module 305 is used to input the comprehensive index value into the importance model to output the importance value of each load device;

[0141] The third acquisition module 306 is used to sort all load devices in descending order according to the importance values, and divide all load devices according to the sorting results to obtain multiple priority load lists;

[0142] A fourth acquisition module 307, used to obtain the remaining power of the battery pack in the energy storage system;

[0143] The determination module 308 is configured to determine one or more priority load lists that satisfy the remaining power of the battery pack from the multiple priority load lists as a load startup list.

[0144] The second calculation module 309 is used to calculate the total startup power according to the load startup list;

[0145] The starting module 310 is used to start all load devices in the load starting list if the total starting power is less than or equal to the inverter power of the inverter of the energy storage system.

[0146] In one possible design, the first calculation module 304 is specifically used to: obtain multiple sample data of multiple performance indicators, wherein each sample data contains an indicator value corresponding to each performance indicator; construct an indicator matrix of the multiple sample data, and obtain a standard indicator matrix of the indicator matrix through a standardization method; calculate the difference coefficient of each performance indicator according to the standard indicator matrix; calculate the weight of each performance indicator according to the difference coefficient of each performance indicator; calculate the comprehensive indicator value of each load device according to the indicator value of each performance indicator and the weight of each performance indicator through a weighted summation method.

[0147] In one possible design, the coefficient of difference of each performance indicator is calculated according to the standard indicator matrix, and the calculation formula is:

[0148]

[0149] In the formula, n represents the number of sample data, p ij It represents the proportion of the index value corresponding to the jth performance index of the i-th sample data in the standard index matrix to the jth performance index, d j represents the coefficient of variation of the j-th performance indicator.

[0150] In a possible design, the proportion of the indicator value corresponding to the jth performance indicator of the i-th sample data in the standard indicator matrix to the j-th performance indicator is calculated as follows:

[0151]

[0152] In the formula, n represents the number of sample data, x ij Represents the index value corresponding to the jth performance index of the i-th sample data in the standard index matrix.

[0153] In a possible design, the weight of each performance indicator is calculated according to the coefficient of difference of each performance indicator, including:

[0154]

[0155] Where, d j represents the coefficient of difference of the jth performance indicator, m represents the number of multiple performance indicators, and w j represents the weight of the jth performance indicator.

[0156] In one possible design, the importance model is formulated as:

[0157]

[0158] In the formula, x represents the comprehensive index value; a represents the center position of the function; c represents the control parameter, which controls the slope of the function.

[0159] In one possible design, a first remaining power threshold, a second remaining power threshold and a third remaining power threshold are preset; wherein the first remaining power threshold is greater than the second remaining power threshold, and the second remaining power threshold is greater than the third remaining power threshold; a first load total power threshold and a second load total power threshold are preset; wherein the first load total power threshold is greater than the second load total power threshold; accordingly, the determination module 308 is specifically used to: if the remaining power is lower than the first remaining power threshold and higher than the second remaining power threshold, reduce the power of the power-adjustable load device, and determine multiple priority load lists as the load startup list; if the remaining power is lower than the second remaining power threshold threshold, and is higher than the third remaining power threshold, the load powers of each priority load list are accumulated in sequence from high to low priority; the maximum value of all load power accumulation values ​​that exceed the second load total power threshold but do not exceed the first load total power threshold is obtained, and each priority load list involved in the maximum value is determined as the load start-up list; if the remaining power is lower than the third remaining power threshold, the load powers of each priority load list are accumulated in sequence from high to low priority; the maximum value of all load power accumulation values ​​that do not exceed the second load total power threshold is obtained, and each priority load list involved in the maximum value is determined as the load start-up list.

[0160] In one possible design, the second calculation module 309 is specifically used to: determine multiple load devices in the load startup list as multiple load devices to be started; obtain the load power and load factor of each load device to be started; wherein the load factor is set according to the type of each load device to be started; and calculate the power of each load device to be started according to the load power and the load factor to obtain the total startup power.

[0161] In a possible design, the power of each load device to be started is calculated according to the load power and the load factor to obtain the total starting power. The calculation formula is:

[0162]

[0163] Wherein, P represents the total starting power, n represents the number of load devices to be started, and i represents the i-th load device to be started.

[0164] In one possible design, the load control device of the energy storage system also includes: a detection module, which is used to obtain the difference power between the inverter power and the total startup power if the total startup power is greater than the inverter power; detect whether the photovoltaic equipment of the energy storage system is available; if the photovoltaic equipment is available, adjust the control parameters through the maximum power point tracking algorithm to provide the difference power to start all load devices in the load startup list.

[0165] Figure 4It is a structural diagram of a control platform provided in an embodiment of the present application, and the control platform includes: at least one processor 401 and a memory 402; the memory stores computer execution instructions; at least one processor executes the computer execution instructions stored in the memory, so that at least one processor executes the load control method of the energy storage system as above.

[0166] Optionally, the memory 402 may be independent or integrated with the processor 401 .

[0167] When the memory 402 is independently configured, the control platform further includes a bus 403 for connecting the memory 402 and the processor 401 .

[0168] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the load control method of the energy storage system as described above is implemented.

[0169] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned method for load control of an energy storage system.

[0170] The computer-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The computer-readable storage medium may be any available medium that can be accessed by a general or special purpose computer.

[0171] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in the load control device of the energy storage system.

[0172] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

[0173] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments, and the above embodiments are only used to illustrate the technical solution of the present application rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A load control method for an energy storage system, characterized in that: Applied to control platforms, including: Acquire grid data of the energy storage system, and input the grid data into a pre-trained grid state detection model to output the grid state; If it is determined that the power grid state is an off-grid state, obtaining a device identification of each load device in the energy storage system; According to the device identification, obtaining multiple performance indicators corresponding to each load device; Calculating the comprehensive index value of each load device according to the multiple performance indicators; Inputting the comprehensive index value into the importance model to output the importance value of each load device; Sorting all load devices in descending order according to the importance values, and dividing all load devices according to the sorting results to obtain multiple priority load lists; Obtaining the remaining power of the battery pack in the energy storage system; Determining one or more priority load lists satisfying the remaining power of the battery pack from the plurality of priority load lists as a load startup list; Calculate the total starting power according to the load starting list; If the total startup power is less than or equal to the inverter power of the inverter of the energy storage system, all load devices in the load startup list are started; If the total startup power is greater than the inverter power, then obtaining the difference power between the inverter power and the total startup power; Detecting whether the photovoltaic device of the energy storage system is available; If the photovoltaic device is available, adjusting control parameters through a maximum power point tracking algorithm to provide the difference power to start all load devices in the load start list; Before obtaining the device identification of each load device in the energy storage system, the method further includes: Preset a first remaining power threshold, a second remaining power threshold and a third remaining power threshold; wherein the first remaining power threshold is greater than the second remaining power threshold, and the second remaining power threshold is greater than the third remaining power threshold; Preset a first load total power threshold and a second load total power threshold; wherein the first load total power threshold is greater than the second load total power threshold; The step of determining one or more priority load lists that satisfy the remaining power of the battery pack from the multiple priority load lists as a load startup list includes: Get the load power of each priority load list; If the remaining power is lower than the first remaining power threshold and higher than the second remaining power threshold, the power of the power-adjustable load device is reduced, and the multiple priority load lists are determined as a load startup list; If the remaining power is lower than the second remaining power threshold and higher than the third remaining power threshold, the load powers of the load lists of each priority level are accumulated in sequence according to the priorities from high to low; the maximum value of the accumulated values ​​of all load powers exceeding the second load total power threshold but not exceeding the first load total power threshold is obtained, and the load lists of each priority level involved in the maximum value are determined as the load startup list; If the remaining power is lower than the third remaining power threshold, the load powers of each priority load list are accumulated in sequence according to the priority from high to low; the maximum value of all load power accumulation values ​​that do not exceed the second load total power threshold is obtained, and the priority load lists involving the maximum value are determined as the load startup list.

2. The method according to claim 1, characterized in that Calculating the comprehensive index value of each load device according to the multiple performance indicators includes: Acquire multiple sample data of the multiple performance indicators, wherein each sample data includes an indicator value corresponding to each performance indicator; Constructing an indicator matrix of the plurality of sample data, and obtaining a standard indicator matrix of the indicator matrix through a standardization method; According to the standard indicator matrix, calculating the coefficient of difference of each performance indicator; Calculating the weight of each performance indicator according to the difference coefficient of each performance indicator; According to the index value of each performance index and the weight of each performance index, the comprehensive index value of each load device is calculated by weighted summation method.

3. The method according to claim 2, characterized in that The calculation formula for calculating the difference coefficient of each performance indicator according to the standard indicator matrix is: Wherein, n represents the number of the plurality of sample data, represents the proportion of the index value corresponding to the jth performance index of the i-th sample data in the standard index matrix to the j-th performance index, represents the coefficient of difference of the j-th performance indicator.

4. The method according to claim 3, characterized in that The calculation formula for the proportion of the index value corresponding to the jth performance index of the i-th sample data in the standard index matrix to the j-th performance index is: In the formula, n represents the number of the plurality of sample data, x ij Represents the index value corresponding to the j-th performance index of the ith sample data in the standard index matrix.

5. The method according to claim 2, characterized in that: Calculating the weight of each performance indicator according to the difference coefficient of each performance indicator includes: In the formula, represents the coefficient of difference of the jth performance indicator, m represents the number of multiple performance indicators, represents the weight of the jth performance indicator.

6. The method according to claim 1, characterized in that The formula of the importance model is: In the formula, x represents the comprehensive index value; a represents the center position of the function; c represents the control parameter, which controls the slope of the function.

7. The method according to claim 1, characterized in that The calculating the total startup power according to the load startup list includes: Determine the multiple load devices in the load startup list as multiple load devices to be started; Obtaining the load power and load factor of each load device to be started; wherein the load factor is set according to the type of each load device to be started; The power of each load device to be started is calculated according to the load power and the load factor to obtain the total starting power.

8. The method according to claim 7, characterized in that The power of each load device to be started is calculated according to the load power and the load factor to obtain the total startup power, and the calculation formula is: In the formula, P represents the total startup power, n represents the number of the load devices to be started, and i represents the i-th load device to be started.

9. A load control device for an energy storage system, characterized in that: Applied to control platforms, including: A first acquisition module is used to acquire grid data of the energy storage system, and input the grid data into a pre-trained grid state detection model to output a grid state; A determination module, configured to obtain a device identification of each load device in the energy storage system if it is determined that the power grid state is an off-grid state; A second acquisition module, configured to acquire a plurality of performance indicators corresponding to each load device according to the device identifier; A first calculation module, used for calculating the comprehensive index value of each load device according to the multiple performance indicators; An output module, used for inputting the comprehensive index value into the importance model to output the importance value of each load device; A third acquisition module is used to sort all load devices in descending order according to the importance values, and divide all load devices according to the sorting results to obtain multiple priority load lists; A fourth acquisition module, used to obtain the remaining power of the battery pack in the energy storage system; a determination module, configured to determine, from the plurality of priority load lists, one or more priority load lists that satisfy the remaining power of the battery pack as a load startup list; A second calculation module, used for calculating the total startup power according to the load startup list; A starting module, configured to start all load devices in the load starting list if the total starting power is less than or equal to the inverter power of the inverter of the energy storage system; A detection module, configured to obtain the difference power between the inverter power and the total startup power if the total startup power is greater than the inverter power; detect whether the photovoltaic device of the energy storage system is available; if the photovoltaic device is available, adjust the control parameters through a maximum power point tracking algorithm to provide the difference power to start all load devices in the load startup list; Preset a first remaining power threshold, a second remaining power threshold and a third remaining power threshold; wherein the first remaining power threshold is greater than the second remaining power threshold, and the second remaining power threshold is greater than the third remaining power threshold; Preset a first load total power threshold and a second load total power threshold; wherein the first load total power threshold is greater than the second load total power threshold; The determination module is used to obtain the load power of each priority load list; if the remaining power is lower than the first remaining power threshold and higher than the second remaining power threshold, the power of the power-adjustable load device is reduced, and the multiple priority load lists are determined as the load startup list; if the remaining power is lower than the second remaining power threshold and higher than the third remaining power threshold, the load powers of the priority load lists are accumulated in sequence from high to low priority; the maximum value of all load power accumulation values ​​exceeding the second load total power threshold but not exceeding the first load total power threshold is obtained, and the priority load lists involved in the maximum value are determined as the load startup list; if the remaining power is lower than the third remaining power threshold, the load powers of the priority load lists are accumulated in sequence from high to low priority; the maximum value of all load power accumulation values ​​not exceeding the second load total power threshold is obtained, and the priority load lists involved in the maximum value are determined as the load startup list.

10. A control platform, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor executes the load control method for the energy storage system according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the load control method for the energy storage system according to any one of claims 1 to 8.

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