CN112488380B - Unit steady-state working condition matching method and system based on similarity dynamic model - Google Patents
Unit steady-state working condition matching method and system based on similarity dynamic model Download PDFInfo
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Abstract
The invention discloses a steady-state working condition matching method of a unit based on a similarity dynamic model, which is characterized in that a threshold value and weight of matching index parameters are set to ensure that single parameters are close to a comparison working condition, the requirements of different index priorities in different service scenes can be met through the setting of the weight, then all steady-state working conditions under the same condition are screened through setting of a filtering time range, then the similarity of each working condition is calculated, and the working condition with the similarity smaller than the set similarity bottom limit is eliminated, so that multiple parameters are simultaneously close to the comparison working condition, the matched steady-state working condition is accurate and reliable, the operation parameters of the working condition in the appointed time are adjusted according to the matched steady-state working condition and returned index data, the operation state of the unit is optimal, the general working condition matching technical scheme is adopted, the service difference is shielded, an efficient and rapid algorithm is provided, the manpower is greatly saved, and the accuracy of data of service processing is improved.
Description
Technical Field
The invention relates to the technical field of power generation, in particular to a machine set steady-state working condition matching method based on a similarity dynamic model.
Background
The thermal power generation is a complex system, the operation condition of unit equipment is in continuous change, output indexes such as unit load, pollution and the like are used as judging indexes, and factors influencing the judging indexes comprise various index factors such as coal characteristics (heat value, sulfur content and the like), operation control (air door, oxygen content and the like), actual output state of equipment (coal mill output) and the like, so that effective economic safety analysis can be provided for the unit through index comparison analysis of the historical approximate operation condition of the current equipment.
The method is characterized in that the approximate working condition is found through working condition matching, is an important calculation process in various production optimizations based on historical operations, and is used for carrying out similar matching on steady-state working conditions of the historical production according to production data indexes at specific time, so that operation differences are found, and the operation optimizations are carried out. The working condition matching can also be used for summarizing and finding out the historical characteristics of the faults and searching the reasons, so that early warning is achieved in advance. How to find the historical operating condition closest to the characteristic condition under a plurality of influence indexes according to the specific condition is the key core of analysis.
The current common processing method is that a dynamic parameter model performs cluster analysis on the historical working conditions, only the historical working conditions are considered, the fixed scene analysis is performed on the historical working conditions, and only macroscopic historical analysis conclusion is made. The method does not consider the comparison requirement of the historical working condition and the current actual working condition, can not carry out close comparison according to the current working condition, and optimally analyzes, so that the method has no guiding value for the current actual specific operation; the other processing method is to search and match the history working condition according to a fixed range according to one (load) or a small number of index parameters. But has the disadvantage that the parameters cannot be dynamically adjusted according to different business scenarios; the weights of key parameters cannot be dynamically set according to scenes; the multiple working conditions matched by the original method are arranged in disorder, the approximation degree ordering of the working conditions is not achieved, and steady-state working condition records which are more in line with the service requirements and are closer to the comparison working conditions cannot be searched; there is no unified configurable general processing method.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a machine set steady-state working condition matching method based on a similarity dynamic model, which is suitable for various business scenes needing working condition matching, and matches the similar steady-state working conditions in historical operation data through a given specific working condition parameter value.
The invention is realized by the following technical scheme:
a unit steady-state working condition matching method based on a similarity dynamic model comprises the following steps:
setting a set operation condition of a specified time as a comparison condition, setting a matching index parameter according to an index of the comparison condition, setting a threshold value and a weight of the matching index parameter, and setting a screening time range of a historical steady-state condition according to the equipment operation state of the set;
and acquiring steady-state working conditions in the screening time range according to the threshold value and the time range of the matching index parameter, sorting the similarity of the acquired steady-state working conditions, taking the corresponding working conditions larger than the low limit value of the similarity as the matching working conditions, and adjusting the operation parameters of the comparison working condition unit according to the matching working conditions.
Preferably, the threshold value of the matching index parameter includes a constant value and an interval value.
Preferably, the number of the matching index parameters is a plurality, and the sum of weights of the matching index parameters is 1.
Preferably, the screening time range is a time range in which the unit state in the selection history time is the same as the current unit state.
Preferably, the method for sorting the similarity under the steady-state working condition comprises the following steps:
and calculating the offset coefficient of the steady-state working condition according to the weight of the matched index parameter, calculating the similarity of the steady-state working condition according to the offset coefficient, and sequencing in descending order.
Preferably, the calculation formula of the similarity is as follows:
wherein alpha is a set matching index parameter, beta is a numerical value of the index parameter set in a matching working condition, t 1 And t 2 Is the start and end of the time range.
Preferably, the index parameters output by the matching model are set according to the running requirement of the unit, the numerical value of the corresponding index parameter in the matching working condition is called, and the running parameters of the comparison working condition are regulated according to the numerical value of the index parameter.
A system of a unit steady-state working condition matching method based on a similarity dynamic model performs the unit steady-state working condition matching method based on the similarity dynamic model when the system is running.
Compared with the prior art, the invention has the following beneficial technical effects:
the steady-state working condition matching method based on the similarity dynamic model provided by the invention ensures that a single parameter approaches to a comparison working condition by setting the threshold value and the weight of the matching index parameter, can meet the requirements of different index priorities in different service scenes by setting the weight, screens all steady-state working conditions under the same condition by setting the filtering time range, calculates the similarity of each working condition, and eliminates the working condition with the similarity smaller than the set similarity low limit value, ensures that multiple parameters approach to the comparison working condition at the same time, ensures that the matched steady-state working condition is accurate and reliable, adjusts the operation parameters of the working condition with the designated time according to the matched steady-state working condition and the returned index data, ensures that the operation state of the machine set reaches the optimal, and the general working condition matching technical scheme shields the service difference, provides an efficient and rapid algorithm, greatly saves manpower, and improves the calculation efficiency and the accuracy of the data of service processing.
Drawings
FIG. 1 is a flow chart of a unit steady-state working condition matching method based on a similarity dynamic model;
FIG. 2 is a main screening flow chart in the process of matching steady-state working conditions of a unit based on a similarity dynamic model;
FIG. 3 is a schematic diagram of similarity low-limit filtering for matching steady-state working conditions of a unit based on a similarity dynamic model.
Detailed Description
The invention will now be described in further detail with reference to the accompanying drawings, which illustrate but do not limit the invention.
Referring to fig. 1-3, the method for matching the steady-state working conditions of the unit based on the similarity dynamic model comprises the following steps:
step 1, constructing a matching model
1.1, acquiring an operation state index in the operation working condition of the unit according to the service scene type, setting the operation state index as a matching index parameter, and setting the upper and lower thresholds of the matching index parameter.
Specifically, the matching index parameters are main parameters of the unit, such as load, received low-order heating value, environment temperature, and threshold values of the matching index parameters, and the allowable fluctuation upper and lower intervals of each matching index parameter can be set as a fixed value or a percentage, and the limit value Max/Min of the matching index parameter, namely, the maximum value or the minimum value.
And a matching index parameter can be set and used in combination with a matching index parameter threshold. When the match index entry parameter is set to 0, an entry parameter limit Max/Min must be set. And screening the working conditions through the threshold value of the matched index parameter, and then selecting again through the matched index parameter.
The setting of the matching index parameters is directly related to the running requirement of the unit, the matching index parameters are uncontrollable parameters in the economic analysis of the unit, the controllable index and the uncontrollable parameters are also included in the safety analysis, and the more the matching index parameters, the closer the steady-state working condition to the comparison working condition is.
And 1.2, dynamically setting the weight of the matched index parameters according to the operation requirement of the unit, wherein the sum of the weights of all the matched index parameters is 1.
Specifically, the weight ω of the matching index parameter should be 1 for the sum of the weights of all the matching index parameters, and each index parameter is used as a comparison dimension in the matching comparison, but the importance of different matching index parameters is different. The weight is used for adjusting the weight ratio of the matched index parameters under different service scene requirements, for example, when the environmental protection requirement is prioritized, the index parameters of sulfur dioxide emission can be manually adjusted, and the weight ratio of the parameters is higher.
And 1.3, setting a filtering time range of the historical steady-state working condition according to the equipment running state of the unit.
Specifically, the working condition matching time range θt, the output capacity of the main equipment can be attenuated along with use, and also can be restored to a certain design capacity along with overhaul, the working condition matching time range is set, and the matching record of the steady-state working condition can be locked to the time range with the same equipment state.
And 1.4, setting a similarity low limit value according to matching requirements.
And 1.5, setting the return index parameters output by the matching model according to the running requirements of the unit.
The return index parameter is a parameter of a steady-state working condition obtained after matching by the matching model, the return index parameter is needed to be obtained through an integral mean value according to the numerical value of the time sequence, the matched steady-state working condition is a time period, the numerical value of the index parameter fluctuates up and down within the range of the time period, and the mean value of the parameter is obtained through the integral mean value method.
Step 2, the matching process of the matching model is as follows:
2.1, taking the operation working condition of the unit at the appointed moment as a comparison working condition, determining the numerical value of a matching index parameter, and selecting a steady-state working condition in the historical working condition by combining the time range set in the step 1.3;
and 2.2, screening the steady-state working conditions selected in the step 6 according to the matching index parameter threshold and the upper limit and the lower limit set in the step 1, and selecting the steady-state working conditions with index parameters within the matching index parameter threshold.
And screening out the approximate working condition through the matching index parameter threshold phi and the matching index parameter limit value Max/Min.
And 2.3, calculating the offset coefficient of the steady-state working condition obtained in the step 7 according to the weight of the matched index parameter.
2.4, calculating the similarity of steady-state working conditions according to the offset coefficient, sorting in descending order, setting a similarity low limit value according to the model, taking the corresponding working conditions larger than the similarity low limit value as matching working conditions, outputting the matching working conditions and the corresponding index parameters, and calculating the similarity as follows:
wherein alpha is the numerical value of the set matching index parameter, beta is the numerical value of the set index parameter in the matching working condition, t 1 And t 2 Is the start and midpoint of the time range.
And calculating the similarity of each working condition in the approximate working condition records meeting the conditions, and if the working condition that the similarity is smaller than the set similarity low limit value is eliminated, returning the residual matching working condition after elimination and the corresponding return index parameter value to the service caller.
And 3, comparing index parameter values of the comparison working condition and the matching working condition, finding out the operation problem of the comparison working condition, and adjusting the controllable parameters of the comparison working condition to optimize.
Example 1
One common situation encountered in thermal power production environments is that different teams are operating at different levels under the same coal combustion, due to different experience of equipment, coal quality, load, etc. operating combustion. In order to solve the problem, a better operation mode is found, and the history working condition matching optimization can be used as an operation guide. And matching the historical working conditions according to the real-time running condition of the unit, and performing comparison analysis to conduct operation guidance on the current actual operation.
The operation level of the measuring unit can be judged from indexes such as boiler efficiency, consumption difference and the like. In a business scenario example in which operation habits need to be analyzed and compared in team operation, several main influence factors irrelevant to operation need to be considered, a current working condition is taken as a comparison working condition, a matching model is established for the business scenario, and first, several main uncontrollable parameters are taken as matching index parameters, such as: load, received base low heat generation and ambient temperature. After the matching index parameters are determined, constraint conditions are set.
The threshold range of the load and the received base heat value parameter is set to be 5%, namely each index parameter which is permitted to match the working condition fluctuates between-5% and +5% around the value of the current working condition.
The lower load limit of the 1000MW unit can be set to 300MW, the working condition is ensured to be in effective load, and the threshold range of the set environment temperature is limited by fluctuation of 3 ℃ up and down.
And setting a weight factor for the matching index parameter according to the matching service requirement. If the stability requirement of the load is high, the weight of the load can be set to be a little higher, and if the matching requirement of the coal quality is high, the weight of the received base heat value can be dynamically improved. In this embodiment, the load, received base heating value, and ambient temperature are set to have the impact factor weights of 0.4, and 0.2, respectively.
Because of the technical improvement of the equipment, certain errors exist in the output force and design value of the equipment. Therefore, the matched working condition time range needs to be determined, and the equipment output of the historical working condition is ensured to be the same as the actual capacity of the current equipment for the time input after the last technical improvement of the main equipment.
The low limit value of the similarity of the working conditions is set to be 0.9, and the value can be adjusted according to the number of the matched records, so that the similar working conditions can be matched within a certain number range.
Because the manual operation is analyzed, in order to obtain combustion experience of different teams, parameters of control operation are required to be taken as return parameters, parameters of control operation are throttle opening and oxygen amount, and meanwhile, operation judgment index parameters (comprehensive consumption difference, main steam temperature consumption difference, exhaust gas temperature consumption difference, condenser end difference consumption difference, reheat steam temperature consumption difference and back pressure consumption difference) are also taken as return index parameters.
After the model is built, the load of the current working condition, the received low-order heating value of the base and the environmental temperature value can be used as a matching parameter value calling algorithm to start matching working conditions. And searching all steady-state working conditions in the period of time from the acquired time range according to the determined searching time range.
And reading the measurement point data stored in the time sequence database of each steady-state working condition record, and calculating the load, the received low-order heating value and the integral mean value of the ambient temperature according to time in the steady-state working condition time period. And comparing the integral mean value of each parameter with the numerical value of the current working condition, if the integral mean value of each parameter is within the fluctuation range of the threshold value of the parameter, reserving the working condition, otherwise, discarding the working condition, and thus screening out the approximate working condition conforming to the comparison condition. For example, when the load of the comparison working condition is 98, the matched steady-state working condition load is 93-103 according to the threshold value, and the working condition of which the load is not in the range is eliminated. And filtering the working condition records in turn by other matching parameters.
According with the recorded working condition, dividing the absolute value of the integral mean value of load removal minus the comparison load value by the comparison load value, calculating the offset ratio, and multiplying the offset ratio by a weight factor of 0.4 to obtain the offset coefficient of the parameter. And (3) processing the received basic low-order heating value and the environment temperature, and summing the offset coefficients of the 3 matching parameters to obtain a total offset coefficient. Subtracting the total offset coefficient from 1 to obtain the similarity of the working condition and the comparative real-time working condition under the 3 matching parameters of load, received basic low-order heating value and ambient temperature.
And according to the similarity low-limit value of 0.9, only the working conditions with the similarity larger than 0.9 are reserved. And ranking the working conditions meeting the conditions according to the similarity.
And continuously reading a time sequence database according to the throttle opening, the oxygen amount, the comprehensive consumption difference, the main steam temperature consumption difference, the exhaust gas temperature consumption difference, the condenser end difference consumption difference, the reheat steam temperature consumption difference, the back pressure consumption difference and the like of each working condition meeting the conditions, and calculating an integral mean value of each return index parameter according to time. And obtaining the similarity value of each steady-state working condition and the value of the return index parameter which meet the condition after the final matching is finished.
According to the obtained steady-state working condition, the return index parameter and the current actual value, the matching working condition with the minimum comprehensive consumption difference can be searched, the air door opening and the oxygen amount of the working condition are compared with the air door opening and the oxygen amount of the current working condition, the current operation team is recommended to be adjusted according to the referenceable historical figure of merit, the operation is improved, the operation efficiency of the unit is improved, and the economical efficiency is improved.
The machine set steady-state working condition matching method based on the similarity dynamic model is not only used for the real-time matching optimizing service processing scene exemplified above, but also can be widely applied to all service scenes needing history working condition matching. The comparison condition is not limited to the real-time condition, but can be a history condition or even a virtual condition of the user. The method provides simple and quick processing for the processing process based on the history working condition matching and analysis and calculation.
The above is only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited by this, and any modification made on the basis of the technical scheme according to the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (6)
1. A machine set steady-state working condition matching method based on a similarity dynamic model is characterized by comprising the following steps:
setting a matching index parameter according to indexes of the comparison working conditions, setting a threshold value and a weight of the matching index parameter, wherein the sum of the weights of all the matching index parameters is 1, so that the index parameter is close to the comparison working conditions, and setting a screening time range of a historical steady-state working condition according to the equipment operation state of the unit;
obtaining steady-state working conditions in a screening time range according to a threshold value and a time range of the matching index parameters, calculating an offset coefficient of the steady-state working conditions according to the weight of the matching index parameters, calculating the similarity of the steady-state working conditions according to the offset coefficient, sorting in a descending order, taking the corresponding working conditions which are larger than the low limit value of the similarity as the matching working conditions, enabling the index parameters of the matching working conditions to be close to the comparison working conditions, adjusting the operation parameters of a unit of the comparison working conditions according to the matching working conditions, and enabling the operation state of the unit to reach the optimal;
the calculation formula of the similarity is as follows:
wherein alpha is a set matching index parameter, beta is a numerical value of the index parameter set in a matching working condition, t 1 And t 2 Is time ofThe start and end of the range.
2. The method for matching steady-state conditions of a unit based on a similarity dynamic model according to claim 1, wherein the threshold value of the matching index parameter comprises a fixed value and an interval value.
3. The method for matching steady-state conditions of a unit based on a similarity dynamic model according to claim 1, wherein the number of the matching index parameters is a plurality, and the sum of weights of the matching index parameters is 1.
4. The method for matching steady-state conditions of a unit based on a similarity dynamic model according to claim 1, wherein the screening time range is a time range in which the unit state in the selection history time is the same as the current unit state.
5. The method for matching steady-state working conditions of a unit based on a similarity dynamic model according to claim 1, wherein index parameters output by the matching model are set according to the operation requirement of the unit, the numerical value of the corresponding index parameter in the matching working conditions is called, and the operation parameters of the comparison working conditions are adjusted according to the numerical value of the index parameter.
6. A system for a method for matching steady-state conditions of a unit based on a similarity dynamic model, wherein the system is operative to perform the method of any one of claims 1-5.
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