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CN-122027098-A - Redundant communication switching control method, device and equipment based on energy storage system and storage medium

CN122027098ACN 122027098 ACN122027098 ACN 122027098ACN-122027098-A

Abstract

The application discloses a redundant communication switching control method, a device, equipment and a storage medium based on an energy storage system, and relates to the technical field of redundant communication switching control, wherein the method comprises the steps of acquiring multidimensional data corresponding to the communication state of the energy storage system, wherein the multidimensional data comprises communication link data, energy storage unit operation data, environment data and communication node data; the method comprises the steps of constructing a first-level index and a second-level index based on multi-dimensional data, respectively calculating entropy weights corresponding to the second-level index, combining initial weights preset by the first-level index to obtain comprehensive weights, calculating reliability sub-coefficients corresponding to the first-level index based on the comprehensive weights, determining comprehensive reliability characteristic values based on environment correction coefficients, energy storage working condition correction coefficients, communication node correction coefficients and the reliability sub-coefficients corresponding to the first-level index, and controlling redundant communication switching of an energy storage system based on the comprehensive reliability characteristic values and reliability thresholds. The method can improve the reliability of the communication system.

Inventors

  • YOU HONGMING
  • HUA MIN
  • XU PENG

Assignees

  • 揽海能源(长兴)有限公司

Dates

Publication Date
20260512
Application Date
20260415

Claims (10)

  1. 1. A redundant communication switching control method based on an energy storage system, the method comprising: Acquiring multi-dimensional data corresponding to the communication state of the energy storage system, wherein the multi-dimensional data comprises communication link data, energy storage unit operation data, environment data and communication node data; Constructing a primary index and a secondary index based on the communication link data, the energy storage unit operation data, the environment data and the communication node data; respectively calculating entropy weight corresponding to the secondary indexes; Obtaining comprehensive weights corresponding to the secondary indexes based on the entropy weights corresponding to the secondary indexes and initial weights preset for the primary indexes; based on the comprehensive weight corresponding to each secondary index, calculating the reliability sub-coefficient corresponding to the primary index; determining a comprehensive reliability characteristic value based on the environment correction coefficient, the energy storage working condition correction coefficient, the communication node correction coefficient and the reliability sub-coefficient corresponding to the first-level index; and controlling redundant communication switching of the energy storage system based on the comprehensive reliability characteristic value and the reliability threshold value.
  2. 2. The method of claim 1, wherein calculating the reliability sub-coefficients corresponding to the primary indicators based on the composite weights corresponding to each secondary indicator comprises: Wherein, the Indicating that the mth level two index is at the mth level The contribution of the sampling instants to the reliability of the communication, Represent the first The comprehensive weight of the two secondary indexes, Indicating that the mth level two index is at the mth level Normalized values for each sample time, in the range of 0,1, Indicating that the mth index is at the mth A nonlinear correction term at each moment, m represents the index of the secondary index, An index indicating the sampling time; A modified intensity coefficient representing the mth secondary index, A modified shape factor representing the mth secondary index, Representing an mth secondary index normalization sequence Is used for the arithmetic mean of (a), Representing the mth index normalization sequence Standard deviation of exp ) Representing an exponential function; a reliability sub-coefficient representing the u-th level index, An index set representing all the secondary indexes belonging to the primary index u, u representing the index of the primary index.
  3. 3. The method of claim 1, wherein the environmental correction factor is determined by: Wherein, the The environmental correction coefficient is represented by a set of coefficients, The temperature influence coefficient is represented by a temperature coefficient, Indicating the coefficient of influence of humidity, Representing the coefficient of influence of electromagnetic interference, The temperature-humidity interaction influence coefficient is represented, Representing the relative function of the temperature deviation from the standard value, Indicating the temperature of the environment and, Representing the relative function of humidity deviation from a standard value, Indicating the humidity of the environment and, Indicating the intensity of the electromagnetic interference (emi), A function representing the interactive effect of temperature and humidity; A standard ambient temperature reference value is indicated, Indicating the temperature smoothing parameter(s), A reference value for the standard ambient humidity is indicated, Representing the humidity smoothing parameter(s), And the temperature and humidity interactive smoothing parameters are represented.
  4. 4. The method of claim 1, wherein the stored energy operating condition correction factor is determined by: Wherein, the Represents the correction coefficient of the energy storage working condition, Represents the influence coefficient of the charge and discharge power, Representing the SOC-degree-of-equalization-affecting coefficient, The coefficient of influence of the cell voltage is expressed, Representing the relative function of the charge-discharge power deviation from the nominal value, Represents the average charge and discharge power of the energy storage unit, The standard deviation of the SOC is indicated, Represents the SOC standard deviation threshold value, Representing the SOC smoothing parameter(s), Representing the relative function of the cell voltage deviation from the nominal value, Representing the average cell voltage of the energy storage unit.
  5. 5. The method of claim 1, wherein the communication node correction coefficients are determined by: Wherein, the Representing the correction coefficients of the communication node, Representing the load factor influence coefficient, Representing the voltage fluctuation rate influence coefficient, Representing the coefficient of influence of the coupling effect, Representing the average load rate of the communication node, Representing the power supply voltage ripple rate of the communication node, A nominal value representing the mains voltage fluctuation rate of the communication node, Representing the voltage ripple smoothing parameter.
  6. 6. The method of claim 1, wherein determining the integrated reliability feature value based on the environment correction factor, the energy storage condition correction factor, the communication node correction factor, and the reliability sub-factor corresponding to the primary index comprises: Wherein, the Representing the integrated reliability feature value(s), A reliability sub-coefficient representing the u-th level index, The environmental correction coefficient is represented by a set of coefficients, Represents the correction coefficient of the energy storage working condition, Representing the correction coefficients of the communication node, Represents the total adjustment coefficient of the device, The reference reliability sub-coefficient sum is represented, Representing the scale parameter.
  7. 7. The method of claim 1, wherein controlling redundant communication switching of an energy storage system based on the integrated reliability feature value and a reliability threshold value comprises: and switching redundant communication of the energy storage system under the condition that the integrated reliability characteristic value is smaller than a reliability threshold value.
  8. 8. A redundant communication switching control device based on an energy storage system, the device comprising: The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring multidimensional data corresponding to the communication state of the energy storage system, and the multidimensional data comprises communication link data, energy storage unit operation data, environment data and communication node data; The construction module is used for constructing a primary index and a secondary index based on the communication link data, the energy storage unit operation data, the environment data and the communication node data; The computing module is used for respectively computing entropy weights corresponding to the secondary indexes, obtaining comprehensive weights corresponding to each secondary index based on the entropy weights corresponding to the secondary indexes and initial weights preset for the primary indexes, computing reliability sub-coefficients corresponding to the primary indexes based on the comprehensive weights corresponding to each secondary index, and determining comprehensive reliability characteristic values based on the environment correction coefficients, the energy storage working condition correction coefficients, the communication node correction coefficients and the reliability sub-coefficients corresponding to the primary indexes; And the control module is used for controlling redundant communication switching of the energy storage system based on the comprehensive reliability characteristic value and the reliability threshold value.
  9. 9. A computing device comprising a memory and a processor; wherein one or more computer programs are stored in the memory, the one or more computer programs comprising instructions, which when executed by the processor, cause the computing device to perform the method of any of claims 1-7.
  10. 10. A computer-readable storage medium, characterized in that the computer-readable storage medium is for storing a computer program, the computer program is for performing the method of any of claims 1 to 7.

Description

Redundant communication switching control method, device and equipment based on energy storage system and storage medium Technical Field The present application relates to the field of redundant communication switching control technologies, and in particular, to a redundant communication switching control method, device, equipment and storage medium based on an energy storage system. Background In the operation process of the energy storage system, the communication system bears the functions of the energy storage unit, such as operation data transmission, control instruction issuing and the like, and the operation state of the communication system directly influences the overall operation of the energy storage system. In the conventional redundant communication method of the energy storage system, the switching triggering condition of the standby communication system is that the main communication system fails, so that switching can be performed only under the condition that the main communication system fails and cannot communicate, and the situation that part of neutral periods cannot communicate exists is caused, so that the reliability of the communication system is reduced. Disclosure of Invention The application provides a redundant communication switching control method, device and equipment based on an energy storage system and a storage medium, which can improve the reliability of the communication system. In order to achieve the above purpose, the application adopts the following technical scheme: In a first aspect, the present application provides a redundant communication switching control method based on an energy storage system, where the method includes: Acquiring multi-dimensional data corresponding to the communication state of the energy storage system, wherein the multi-dimensional data comprises communication link data, energy storage unit operation data, environment data and communication node data; Constructing a primary index and a secondary index based on the communication link data, the energy storage unit operation data, the environment data and the communication node data; respectively calculating entropy weight corresponding to the secondary indexes; Obtaining comprehensive weights corresponding to the secondary indexes based on the entropy weights corresponding to the secondary indexes and initial weights preset for the primary indexes; based on the comprehensive weight corresponding to each secondary index, calculating the reliability sub-coefficient corresponding to the primary index; determining a comprehensive reliability characteristic value based on the environment correction coefficient, the energy storage working condition correction coefficient, the communication node correction coefficient and the reliability sub-coefficient corresponding to the first-level index; and controlling redundant communication switching of the energy storage system based on the comprehensive reliability characteristic value and the reliability threshold value. In some possible implementations, the calculating the reliability sub-coefficient corresponding to the first-level index based on the comprehensive weight corresponding to each second-level index includes: Wherein, the Indicating that the mth level two index is at the mth levelThe contribution of the sampling instants to the reliability of the communication,Represent the firstThe comprehensive weight of the two secondary indexes,Indicating that the mth level two index is at the mth levelNormalized values for each sample time, in the range of 0,1,Indicating that the mth index is at the mthA nonlinear correction term at each moment, m represents the index of the secondary index,An index indicating the sampling time; A modified intensity coefficient representing the mth secondary index, A modified shape factor representing the mth secondary index,Representing an mth secondary index normalization sequenceIs used for the arithmetic mean of (a),Representing the mth index normalization sequenceStandard deviation of exp) Representing an exponential function; a reliability sub-coefficient representing the u-th level index, An index set representing all the secondary indexes belonging to the primary index u, u representing the index of the primary index. In some possible implementations, the environmental correction factor is determined by: Wherein, the The environmental correction coefficient is represented by a set of coefficients,The temperature influence coefficient is represented by a temperature coefficient,Indicating the coefficient of influence of humidity,Representing the coefficient of influence of electromagnetic interference,The temperature-humidity interaction influence coefficient is represented,Representing the relative function of the temperature deviation from the standard value,Indicating the temperature of the environment and,Representing the relative function of humidity deviation from a standard value,Indicating the humidi