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CN-122020472-A - Intelligent control method and system for hydrogen generator set

CN122020472ACN 122020472 ACN122020472 ACN 122020472ACN-122020472-A

Abstract

The invention relates to the field of electric power early warning, in particular to an intelligent control method and system of a hydrogen generator set, wherein key operation parameters are acquired according to acquisition intervals through a data acquisition module, a data analysis module calculates an integrity index of a power grid structure and an electric energy quality stability index based on the tripping quantity of a power transmission line switch, the quantity of relay protection action signals, a system active power deviation value and a key node voltage threshold value, and then the comprehensive characterization value is weighted, an operation condition dividing module divides stable or disturbance operation conditions, a strategy scheduling module adjusts the acquisition intervals of the next time period according to the operation conditions, and an alarm module judges whether to send early warning according to the comparison of the comprehensive characterization value and an alarm threshold value. The invention reduces the monitoring frequency to save resources under the stable working condition, improves the monitoring density to enhance the sensing capability under the disturbance working condition, and improves the intelligent operation and maintenance level and the early warning accuracy of the dispatching service of the power system.

Inventors

  • CAI JUN
  • ZHANG CUIHUA
  • TIAN CHUNXIA

Assignees

  • 北京易达新电气成套设备有限公司

Dates

Publication Date
20260512
Application Date
20260129

Claims (10)

  1. 1. An intelligent control method and system for a hydrogen generator set is characterized by comprising the following steps: The data acquisition module is used for acquiring key operation parameters of an electric power system accessed by the hydrogen generator set in a time period according to an acquisition interval, wherein the key operation parameters comprise the tripping quantity of a power transmission line switch, the quantity of relay protection action signals, the active power deviation value of the system and the voltage out-of-limit value of a key node; The data analysis module is connected with the data acquisition module and used for calculating an electric network structural integrity index and an electric energy quality stability index based on the key operation parameters, and determining a weighted summation result of the electric network structural integrity index and the electric energy quality stability index as a comprehensive characterization value corresponding to the time period; the operation condition dividing module is connected with the data analysis module and used for dividing the operation condition corresponding to the time period based on the comprehensive characterization value corresponding to the time period and a preset condition threshold value; The strategy scheduling module is connected to the operation condition dividing module and used for adjusting the acquisition interval of the next time period based on the operation condition corresponding to the time period; And the alarm module is connected to the data analysis module and used for comparing the comprehensive characterization value corresponding to the time period with a preset alarm threshold value to judge whether to send out an early warning.
  2. 2. The intelligent control method and system for a hydrogen generator set according to claim 1, wherein the data acquisition module is configured to acquire key operation parameters of an electric power system to which the hydrogen generator set is connected in a time period at an acquisition interval, The acquisition interval is determined by the product of the basic standard acquisition interval and the dynamic detection coefficient; Wherein the basic standard acquisition interval is obtained in a predetermined manner.
  3. 3. The intelligent control method and system according to claim 1, wherein the data analysis module calculates grid structure integrity and power quality stability metrics based on the critical operating parameters comprises, Determining a power grid structure integrity index based on the tripping quantity of the power transmission line switches and the relay protection action signal quantity; and determining an index of power quality stability based on the system active power deviation value and the critical node voltage threshold value.
  4. 4. The intelligent control method and system for a hydrogen generator set according to claim 3, wherein the data analysis module determining the grid structure integrity index comprises, Determining the tripping frequency of the power transmission line switch and the relay protection action signal frequency based on the tripping quantity of the power transmission line switch and the relay protection action signal quantity; determining the ratio of the tripping frequency of the power transmission line switch to a tripping standard value as a tripping parameter; determining the ratio of the relay protection action signal frequency to a protection standard value as a protection parameter; Determining a weighted summation result of the tripping parameter and the protection parameter as a power grid structural integrity index; wherein the trip standard value and the protection standard value are predetermined.
  5. 5. The intelligent control method and system for a hydrogen generator set according to claim 3, wherein the data analysis module determines the power quality stability indicator comprises, Determining the ratio of the active power deviation value of the system to a power deviation standard value as a deviation parameter; determining the ratio of the voltage threshold value and the voltage threshold standard value of the key node as a threshold parameter; Determining a weighted summation result of the deviation parameter and the out-of-limit parameter as an index of power quality stability; wherein the power deviation criterion value and the voltage threshold crossing criterion value are predetermined.
  6. 6. The intelligent control method and system according to claim 1, wherein the operation condition dividing module divides the operation condition corresponding to the time period based on the comprehensive characterization value corresponding to the time period and a preset operation condition threshold value, Comparing the comprehensive characterization value corresponding to the time period with a preset working condition threshold; if the comprehensive characterization value corresponding to the time period is greater than or equal to a preset working condition threshold, judging that the time period is in a disturbance operation working condition; and if the comprehensive characterization value corresponding to the time period is smaller than a preset working condition threshold, judging that the time period is in a stable operation working condition.
  7. 7. The intelligent control method and system for a hydrogen generator set according to claim 1, wherein the policy scheduling module adjusts the acquisition interval of the next time period based on the operation condition corresponding to the time period comprises, If the time period is in the disturbance operation working condition, taking the ratio of the preset working condition threshold value to the comprehensive characterization value corresponding to the time period as a dynamic detection coefficient corresponding to the next time period; and determining the product of the basic standard acquisition interval and the dynamic detection coefficient as the acquisition interval of the next time period.
  8. 8. The intelligent control method and system for a hydrogen generator set according to claim 1, wherein the policy scheduling module adjusts the acquisition interval of the next time period based on the operation condition corresponding to the time period further comprises, If the time period is in the stable operation condition, determining a dynamic detection coefficient corresponding to the next time period as 1; and determining the product of the basic standard acquisition interval and the dynamic detection coefficient as the acquisition interval of the next time period.
  9. 9. The intelligent control method and system according to claim 1, wherein the alarm module is configured to compare the comprehensive characterization value corresponding to the time period with a preset alarm threshold to determine whether to send out an early warning, If the comprehensive characterization value corresponding to the time period is greater than or equal to a preset alarm threshold value, an early warning is sent out; If the comprehensive characterization value corresponding to the time period is smaller than a preset alarm threshold value, no early warning is sent out; Wherein, the preset alarm threshold is greater than the preset working condition threshold.
  10. 10. A method for application to the intelligent control system of a hydrogen generator set according to any one of claims 1 to 9, comprising: acquiring key operation parameters of an electric power system accessed by a hydrogen generator set in a time period according to an acquisition interval, wherein the key operation parameters are acquired; Calculating a power grid structural integrity index and a power quality stability index based on the key operation parameters, and determining a weighted summation result of the power grid structural integrity index and the power quality stability index as a comprehensive characterization value corresponding to the time period; dividing the operation working conditions corresponding to the time period based on the comprehensive characterization value corresponding to the time period and a preset working condition threshold; adjusting the acquisition interval of the next time period based on the operation condition corresponding to the time period; And comparing the comprehensive characterization value corresponding to the time period with a preset alarm threshold value to judge whether to send out early warning.

Description

Intelligent control method and system for hydrogen generator set Technical Field The invention relates to the field of electric power early warning, in particular to an intelligent control method and system of a hydrogen generator set. Background With the rapid development of hydrogen energy technology, a hydrogen generator set is gradually connected into a traditional power grid system as a clean and efficient distributed power supply. The access of the energy source green level is improved, and meanwhile, a new challenge is brought to the safe and stable operation of the power grid. The output power of hydrogen power generation is limited by hydrogen supply, fuel cell state and power electronic converter performance, and has remarkable fluctuation and intermittent characteristics. The characteristics are easy to cause the voltage out-of-limit, frequency deviation and power flow distribution mutation of local nodes of the power grid, and can influence the quality of electric energy and even threaten the power supply reliability of regional power grids. The traditional power grid monitoring system is mainly designed aiming at a conventional power supply and a load, and lacks sufficient sensing and early warning capability for novel distributed power supplies with high proportion and different characteristics. The invention discloses a method for evaluating the operation safety of a source side generator set, which is characterized in that an operation state perception model is established aiming at different operation equipment and system history operation data of the source side generator set, the state evaluation states of all protection parameters are converted into parameter operation evaluation state coefficients by adopting a principal component analysis method, and the operation evaluation state coefficients are subjected to weighted evaluation according to the system safety operation degree corresponding to the influence to obtain the operation evaluation state value of the system. The method can provide early warning for the fault change of the equipment object, prompt monitoring parameters for causing the alarm of equipment, a system and a unit for a worker, help the worker discover the condition of the operation degradation of the generator unit equipment as soon as possible, improve the safety and stability of the unit operation, and reduce impact damage to the safe and stable operation of a power plant and a power grid caused by the condition of non-stop of the unit fault and the like. However, the following problems exist in the prior art: 1. In the prior art, single or small quantity of parameters are relied on for state evaluation, so that the perception of the running situation of the system is incomplete, and potential risks are difficult to identify timely and accurately for early warning; 2. in the prior art, a self-adaptive monitoring mechanism based on real-time operation conditions is lacking, and more accurate early warning support is difficult to provide when a system is disturbed; Disclosure of Invention Therefore, the invention provides an intelligent control method and system for a hydrogen generator set, which are used for solving the problems that the state evaluation is carried out depending on single or small quantity of parameters in the prior art, so that the perception of the running situation of the system is incomplete, the potential risk is difficult to identify timely and accurately for early warning, the self-adaptive monitoring mechanism based on the real-time running working condition is lacking, and more accurate early warning support is difficult to provide when the system is disturbed. In order to achieve the above object, in one aspect, the present invention provides an intelligent control system of a hydrogen generator set, including: The data acquisition module is used for acquiring key operation parameters of an electric power system accessed by the hydrogen generator set in a time period according to an acquisition interval, wherein the key operation parameters comprise the tripping quantity of a power transmission line switch, the quantity of relay protection action signals, the active power deviation value of the system and the voltage out-of-limit value of a key node; The data analysis module is connected with the data acquisition module and used for calculating an electric network structural integrity index and an electric energy quality stability index based on the key operation parameters, and determining a weighted summation result of the electric network structural integrity index and the electric energy quality stability index as a comprehensive characterization value corresponding to the time period; the operation condition dividing module is connected with the data analysis module and used for dividing the operation condition corresponding to the time period based on the comprehensive characterization value corresponding to the time period and a p