CN-121978941-A - Intelligent control method and system for energy consumption of thermal power generating unit

CN121978941ACN 121978941 ACN121978941 ACN 121978941ACN-121978941-A

Abstract

The application relates to the field of application of thermal power units, and particularly discloses an intelligent control method and system for energy consumption of a thermal power unit. And then, comparing the real-time behavior information set with an expected behavior information set under a normal working condition recorded in a priori database, identifying the reason that the running parameters of the thermal power unit deviate from the target values according to the comparison result, and finally generating and executing a corresponding regulation strategy. The method solves the problem that in the prior art, the control system cannot accurately judge the root cause of the problem due to the fact that the coal quality change and the unit response characteristic change are difficult to distinguish in the quick load change process of the thermal power unit, and then the blind adjustment strategy is adopted. The method and the device can identify the reason that the operation parameters of the thermal power generating unit deviate from the target values, and further generate a targeted adjustment strategy.

Inventors

QI XUEHAI
LI YAZHOU
WANG YIXIN
LI XINLEI
ZHANG XINYUN
TIAN XULING

Assignees

山东鲁能控制工程有限公司

Dates

Publication Date: 20260505
Application Date: 20260203

Claims (10)

1. The intelligent control method for the energy consumption of the thermal power unit is used for regulating and controlling the operation parameters of the thermal power unit when the operation parameters of the thermal power unit deviate from target values and is applied to an energy consumption control system of the thermal power unit, and is characterized by comprising the steps of collecting operation parameter data of the thermal power unit in a set time period after the thermal power unit executes load regulation, wherein the operation parameter data comprise hearth pressure data and steam flow data; calculating operation parameter change trend data corresponding to each moment in a set time period according to operation parameter data of the thermal power generating unit in the set time period, constructing real-time behavior information sets of each moment when the thermal power generating unit operates in the set time period according to the operation parameter change trend data corresponding to each moment in the set time period, wherein the operation parameter change trend data comprises hearth pressure change data and steam flow change data, comparing the real-time behavior information sets of each moment in the set time period with expected behavior information sets under normal working conditions recorded in a priori database, obtaining comparison results, identifying reasons for the current thermal power generating unit operation parameters deviating from target values according to the comparison results, outputting identification results, generating adjustment strategies according to the identification results, and executing by the thermal power generating unit.
2. The intelligent control method for energy consumption of a thermal power generating unit according to claim 1, wherein the step of collecting the operation parameter data of the thermal power generating unit in a set period of time after the thermal power generating unit performs load adjustment comprises collecting the operation parameter data of the thermal power generating unit in real time starting from the moment of performing load adjustment of the thermal power generating unit and within the set period of time after the thermal power generating unit performs load adjustment, and collecting the operation parameter data of the thermal power generating unit in a frequency higher than 10 times/second within the set period of time.
3. The intelligent control method for the energy consumption of the thermal power generating unit according to claim 1 is characterized in that the step of calculating operation parameter variation trend data corresponding to each moment in a set time period according to operation parameter data of the thermal power generating unit in the set time period and constructing a real-time behavior information set of each moment when the thermal power generating unit operates in the set time period according to the operation parameter variation trend data corresponding to each moment in the set time period comprises the steps of interpolating the operation parameter data of the thermal power generating unit acquired in the set time period by adopting a spatial interpolation algorithm and forming a continuous characteristic map, calculating operation parameter variation trend data corresponding to each moment in the set time period according to the continuous characteristic map, and structurally storing hearth pressure variation data and steam flow variation data corresponding to each moment and constructing the real-time behavior information set of each moment when the thermal power generating unit operates in the set time period according to the operation parameter variation trend data corresponding to each moment in the set time period.
4. The method for intelligently controlling energy consumption of a thermal power generating unit according to claim 1, wherein the step of comparing the real-time behavior information set at each moment in the set time period with the expected behavior information set under the normal working condition recorded in the priori database and obtaining the comparison result comprises the following steps: acquiring an expected behavior information set matched with load adjustment executed by the current thermal power generating unit from a priori database; calculating a distance value between a real-time behavior information set and a corresponding expected behavior information set at each moment in a set time period by adopting a Euclidean distance algorithm; determining whether a difference exists between a real-time behavior information set and a corresponding expected behavior information set at each moment in a set time period according to the difference between the distance value and the set distance threshold value, and obtaining a difference result; And confirming the proportion of the real-time behavior information set at each moment and the expected behavior information set under the normal working condition recorded in the prior database according to the difference result, and confirming the comparison result based on the proportion.
5. The intelligent control method for energy consumption of a thermal power plant according to claim 1, wherein the reasons for the deviation of the operation parameters of the thermal power plant from the target values include fuel property changes and response characteristic changes of the thermal power plant, wherein the fuel property changes indicate that coal components added into the thermal power plant have changes, and the response characteristic changes of the thermal power plant indicate that the inherent operation parameters of the thermal power plant have differences from actual demands of the current thermal power plant.
6. The intelligent control method for thermal power generating unit energy consumption according to claim 5, wherein the step of identifying the cause of the deviation of the current thermal power generating unit operation parameter from the target value according to the comparison result and outputting the identification result comprises obtaining a change pattern of the thermal power generating unit operation parameter data according to the comparison result, wherein the change pattern indicates that the hearth pressure change rate is increased, leveled or decreased and the steam flow change rate is increased, leveled or decreased, and when one of the hearth pressure change rate is increased or decreased and the steam flow change rate is increased or decreased, the cause of the deviation of the current thermal power generating unit operation parameter from the target value is identified as fuel property change, and when the hearth pressure change rate is leveled and the steam flow change rate is leveled, the cause of the deviation of the current thermal power generating unit operation parameter from the target value is identified as difference in actual demand of the thermal power generating unit.
7. The intelligent control method for thermal power generating unit energy consumption according to claim 5, wherein the step of identifying the reason why the current thermal power generating unit operation parameter deviates from the target value according to the comparison result and outputting the identification result comprises the steps of extracting a difference signal set between a real-time behavior information set at each moment and an expected behavior information set under normal working conditions recorded in a priori database from the comparison result, carrying out time sequence analysis on each difference signal in the difference signal set, and extracting data fingerprints, wherein the data fingerprints comprise a first derivative, a second derivative and spectral characteristics of the difference signal with respect to time; And identifying the reason why the running parameters of the thermal power generating unit deviate from the target values based on the data fingerprints, and outputting the identification result.
8. The intelligent control method for thermal power generating unit energy consumption according to claim 7, wherein the step of identifying a cause of deviation of the thermal power generating unit operation parameter from the target value based on the data fingerprint and outputting the identification result comprises the steps of obtaining a first derivative, a second derivative and a spectral characteristic of the plurality of difference signals with respect to time from the data fingerprint acquired from the plurality of difference signals, and performing the following operations within a set time window: The method comprises the steps of fingerprint identification of data collected from a plurality of difference signals, judging the times that the first derivative and the second derivative of the data on time are continuously close to zero in a set time period and the low frequency band in the frequency spectrum characteristic accounts for more than 80%, and recording the times as first occurrence times; the method comprises the steps of collecting data fingerprints of a plurality of difference signals, identifying the times that a first derivative and a second derivative of the data fingerprints continuously jump in a set time period and the high frequency band ratio in the frequency spectrum characteristic is more than 20% from the data fingerprints collected by the plurality of difference signals, recording the times as second occurrence times, comparing the first occurrence times with the second occurrence times in a numerical value, determining the reason that the running parameters of the thermal power unit deviate from target values based on a numerical value comparison result, and outputting the identification result.
9. The intelligent control method for energy consumption of a thermal power generating unit according to claim 8, wherein the step of comparing the first occurrence number with the second occurrence number, determining a cause of deviation of the thermal power generating unit operation parameter from the target value based on the result of the comparison, and outputting the identification result comprises the steps of obtaining a load adjustment speed and a load level of the thermal power generating unit; According to the load regulation speed and the load level, determining the weight of the thermal power unit operating parameter, which deviates from the target value, as the fuel property change and the weight of the thermal power unit, which deviates from the target value, as the response characteristic change of the thermal power unit; Calculating to obtain a first confidence score according to the first occurrence number and the weight of the change of the fuel property due to the reason that the operation parameter of the thermal power unit deviates from the target value, and calculating to obtain a second confidence score according to the second occurrence number and the weight of the change of the fuel property due to the reason that the operation parameter of the thermal power unit deviates from the target value; And comparing the first confidence score with the second confidence score to determine the reason of the deviation of the thermal power unit operation parameter from the target value, and outputting the identification result.
10. The intelligent control system for the energy consumption of the thermal power generating unit is characterized by comprising a parameter acquisition module, an information integration module, an identification module and an execution strategy generation module, wherein the parameter acquisition module is used for acquiring operation parameter data of the thermal power generating unit in a set time period after load adjustment is carried out on the thermal power generating unit, the operation parameter data comprise hearth pressure data and steam flow data, the information integration module is used for calculating operation parameter change trend data corresponding to each moment in the set time period according to the operation parameter data of the thermal power generating unit in the set time period, constructing real-time behavior information sets of each moment when the thermal power generating unit operates in the set time period according to the operation parameter change trend data corresponding to each moment in the set time period, the operation parameter change trend data comprise hearth pressure change data and steam flow change data, the comparison module is used for comparing the real-time behavior information sets of each moment in the set time period with expected behavior information sets recorded in a priori database under normal working conditions, the identification module is used for obtaining comparison results, the identification module is used for identifying current thermal power generating target values according to the comparison results, the identification results deviate from the execution strategy generation and the execution result generation and the execution strategy generation and the thermal power generating strategy generation module is used for generating and executing strategy generation result.

Description

Intelligent control method and system for energy consumption of thermal power generating unit Technical Field The application relates to the field of thermal power generating unit application, in particular to an intelligent control method and system for energy consumption of a thermal power generating unit. Background Modern thermal power generating units play an important role in power grids, and the operation efficiency of the thermal power generating units is directly related to effective utilization of energy and power generation cost. In order to realize the fine management of energy consumption, the thermal power generating unit is generally provided with an intelligent control system, and aims to automatically adjust operation parameters according to instructions of a power grid so as to reduce fuel consumption as much as possible while meeting power generation tasks. When a rapid load change instruction is executed, the thermal power generating unit enters a dynamic change operation process, which is different from the state of smooth operation before. In a dynamic process, the association between parameters becomes exceptionally complex. At this time, the control method established originally based on the steady-state working condition is not very important, and the predicted thermal power unit response and the actual situation have larger deviation. The control system directly causes lag or overshoot in the regulation action, so that the actual power generation power of the thermal power unit cannot accurately and rapidly track the command curve of the power grid, and energy waste in the regulation process is caused. In view of the above problems, no effective technical solution is currently available. Disclosure of Invention The application aims to provide an intelligent control method and system for energy consumption of a thermal power unit, and aims to solve the problem that when the running parameters of the thermal power unit deviate from target values, whether the unit response characteristics cause or the fuel property changes is difficult to distinguish. In order to solve the problems, the scheme of the application is as follows: As an aspect of the present application, there is provided an intelligent control method of thermal power generating unit energy consumption for controlling an operation parameter of a thermal power generating unit when the operation parameter deviates from a target value and the method is applied to a thermal power generating unit energy consumption control system, the method comprising: when the thermal power generating unit executes load adjustment, collecting operation parameter data of the thermal power generating unit within a set time period, wherein the operation parameter data comprise hearth pressure data and steam flow data; Calculating operation parameter variation trend data corresponding to each moment in a set time period according to operation parameter data of the thermal power generating unit in the set time period, and constructing a real-time behavior information set of each moment when the thermal power generating unit operates in the set time period according to the operation parameter variation trend data corresponding to each moment in the set time period, wherein the operation parameter variation trend data comprises hearth pressure variation data and steam flow variation data; comparing the real-time behavior information set at each moment in the set time period with the expected behavior information set under the normal working condition recorded in the priori database, and obtaining a comparison result; Identifying the reason that the current thermal power generating unit operation parameters deviate from the target values according to the comparison result, and outputting an identification result; And generating an adjustment strategy according to the identification result, and executing by the thermal power generating unit. Further, after the thermal power generating unit performs load adjustment, the step of collecting the operation parameter data of the thermal power generating unit in a set period of time in real time includes: When the thermal power unit executes load adjustment, operation parameter data of the thermal power unit, which starts from the moment of executing the load adjustment of the thermal power unit and is in a set time period, are collected in real time, and the operation parameter data of the thermal power unit are collected at a frequency higher than 10 times/second in the set time period. Further, the step of calculating the running parameter variation trend data corresponding to each moment in the set time period according to the running parameter data of the thermal power generating unit in the set time period, and constructing the real-time behavior information set of each moment when the thermal power generating unit runs in the set time period according to the running parameter variation trend data cor