CN112488380A - 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 unit steady state working condition matching method based on a similarity dynamic model, which can ensure that a single parameter is close to a comparison working condition by setting a threshold value and a weight of a matching index parameter, can meet the requirements of different index priorities in different service scenes by setting a filtering time range, screens all steady state working conditions under the same condition, then calculates the similarity of each working condition, eliminates the working conditions of which the similarity is less than a set similarity bottom limit, ensures that a plurality of parameters are close to the comparison working condition simultaneously, the matched steady state working conditions are accurate and reliable, adjusts the operating parameters of the designated time working conditions according to the matched steady state working conditions and returned index data, ensures that the operating state of a unit reaches the optimum, adopts a general working condition matching technical scheme, shields service differences, provides a high-efficiency and quick algorithm, and greatly saves labor, the calculation efficiency is improved, and the accuracy of the data of the service processing is improved.
Description
Technical Field
The invention relates to the technical field of power generation, in particular to a unit 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 and pollution are used as judgment indexes, factors influencing the judgment indexes comprise various index factors such as coal property characteristics (heat value, sulfur content and the like), operation control (air door, oxygen content and the like), actual output state of the equipment (output of a coal mill) and the like, influence interaction is realized, and effective economic safety analysis can be provided for the unit through index comparison analysis of historical approximate conditions of the current equipment.
Searching for approximate working conditions through working condition matching is an important calculation process in various production optimization based on historical operation, and the method is used for performing similar matching on steady-state working conditions of historical production according to production data indexes at specific time, so that operation differences are found, and operation optimization is performed. The working condition matching can also be used for summarizing and finding the historical characteristics of the faults and finding the reasons, so that early warning is achieved. 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 conventional processing method is that a dynamic parameter model performs cluster analysis on historical working conditions, only the historical working conditions are considered, the historical working conditions are analyzed in a fixed scene, and only a macroscopic historical analysis conclusion is drawn. The method does not consider the comparison requirement of the historical working condition and the current actual working condition, and can not carry out proximity comparison and optimization analysis according to the current working condition, so that no guiding value is provided for the current actual specific operation; the other processing method is to search and match the historical working condition according to a fixed range according to one (load) or a small amount of index parameters. But the disadvantage is that the parameters cannot be adjusted dynamically according to different service scenarios; the weight of the key parameter can not be dynamically set according to the scene; the multiple working conditions matched by the original method are arranged in disorder, and are not sorted by the similarity with the comparison working conditions, so that the stable working condition record which is more in line with the service requirement and closer to the comparison working conditions cannot be searched; there is no unified configurable general processing method.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a unit steady-state working condition matching method based on a similarity dynamic model, which is suitable for various service scenes needing working condition matching and is matched with similar steady-state working conditions in historical operating 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:
taking the unit operation condition of the designated 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 unit;
and acquiring steady-state working conditions within the screening time range according to the threshold value and the time range of the matching index parameters, performing similarity sorting on the acquired steady-state working conditions, taking the corresponding working conditions larger than the similarity low limit value as 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 fixed value and an interval value.
Preferably, the number of the matching index parameters is plural, and the sum of the weights of the plural matching index parameters is 1.
Preferably, the screening time range is a time range in which the state of the unit in the selected historical time is the same as the state of the current unit.
Preferably, the method for performing similarity ranking under the steady-state operating condition is as follows:
and calculating the offset coefficient of the steady-state working condition according to the weight of the matching index parameter, calculating the similarity of the steady-state working condition according to the offset coefficient, and sequencing in a 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 set index parameter in the matching working condition, and t1And t2The start and end of the time range.
Preferably, index parameters output by the matching model are set according to the operation requirements of the unit, values corresponding to the index parameters in the matching working conditions are obtained, and the operation parameters of the comparison working conditions are adjusted according to the values of the index parameters.
A system of a unit steady-state working condition matching method based on a similarity dynamic model executes the unit steady-state working condition matching method based on the similarity dynamic model when the system runs.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention provides a unit steady state working condition matching method based on a similarity dynamic model, which can ensure that a single parameter is close to a comparison working condition by setting a threshold value and a weight of a matching index parameter, can meet the requirements of different index priorities in different service scenes by setting a filtering time range, screens all steady state working conditions under the same condition, then calculates the similarity of each working condition, eliminates the working condition that the similarity is less than a set similarity low limit value, ensures that a plurality of parameters are close to the comparison working condition simultaneously, the matched steady state working condition is accurate and reliable, adjusts the operating parameter of a specified time working condition according to the matched steady state working condition and returned index data, ensures that the operating state of a unit reaches the optimum, adopts a general working condition matching technical scheme, shields service difference, provides a high-efficiency and quick algorithm, and greatly saves labor, the calculation efficiency is improved, and the accuracy of the data of the service processing is improved.
Drawings
FIG. 1 is a flow chart of a unit steady-state condition matching method based on a similarity dynamic model according to the present invention;
FIG. 2 is a main screening flow chart in the unit steady-state condition matching process based on the similarity dynamic model according to the present invention;
FIG. 3 is a schematic diagram of similarity low-limit filtering for unit steady-state condition matching based on a similarity dynamic model.
Detailed Description
The present invention will now be described in further detail with reference to the attached drawings, which are illustrative, but not limiting, of the present invention.
Referring to fig. 1-3, the method for matching the steady-state working condition of the unit based on the similarity dynamic model comprises the following steps:
1.1, acquiring an operation state index in the unit operation condition according to the service scene type, setting the operation state index as a matching index parameter, and setting the upper and lower limits of a threshold value of the matching index parameter.
Specifically, the matching index parameters are main parameters of the unit, such as load, received base low heating value, ambient temperature, and a threshold of the matching index parameter, and an allowable fluctuation upper and lower interval of each matching index parameter may be set as a fixed value, or may be set as a percentage, or a matching index parameter limit value Max/Min, that is, a maximum value or a minimum value.
Matching index parameters can also be set and used in combination with matching index parameter thresholds. When the matching index entry parameter is set to 0, an entry parameter limit value Max/Min must be set. And screening the working conditions through the threshold value of the matching index parameter, and then, selecting again through the matching index parameter.
The setting of the matching index parameters has a direct relation with the operation requirements of the unit, the matching index parameters are uncontrollable parameters in the economic analysis of the unit and also comprise controllable indexes and uncontrollable parameters in the safety analysis, and the more the matching index parameters are, the closer the stable working condition matched by comparison is to the comparison working condition.
And 1.2, dynamically setting the weight of the matching index parameters according to the operation requirement of the unit, wherein the sum of the weights of all the matching index parameters is 1.
Specifically, the weight ω of the matching index parameter, the sum of the weights of all matching index parameters should be 1, and each index parameter is taken 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 proportion of the matching index parameter under different service scene requirements, for example, when the requirement of environmental protection is prior, the index parameter of the sulfur dioxide emission can be manually adjusted to be higher in the weight proportion.
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, within the working condition matching time range θ t, 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 records of the steady-state working conditions can be locked to the time range with the same equipment state.
And 1.4, setting a similarity lower limit value according to matching requirements.
And 1.5, setting a return index parameter output by the matching model according to the operation requirement of the unit.
The return index parameter is a parameter of a steady state working condition obtained after matching through a matching model, the return index parameter needs to be obtained through integral mean according to the numerical values of the time series, the matched steady state working condition is a time period, the numerical value of the index parameter fluctuates up and down in the time period range, and the mean value of the parameter is obtained through an integral mean method.
2.1, taking the operation condition of the unit at the appointed moment as a comparison condition, determining the numerical value of the matching index parameter, and selecting a steady-state condition in the historical condition by combining the time range set in the step 1.3;
and 2.2, screening the steady-state working condition selected in the step 6 according to the threshold value and the upper and lower limits of the matching index parameter set in the step 1, and selecting the steady-state working condition with the index parameter within the threshold value of the matching index parameter.
And screening out the approximate working condition through the matching index parameter threshold value 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 matching index parameter.
2.4, calculating the similarity of the steady-state working conditions according to the offset coefficient, sequencing the similarity in a descending order, setting a similarity lower limit value according to the model, taking the corresponding working conditions larger than the similarity lower limit value as matching working conditions, and outputting the matching working conditions and corresponding index parameters, wherein the calculation formula of the similarity is as follows:
wherein, alpha is the value of the set matching index parameter, beta is the value of the set index parameter in the matching working condition, and t1And t2The start and middle of the time range.
And in the approximate working condition records meeting the conditions, calculating the similarity of each working condition, and if the working condition with the similarity smaller than the set similarity lower limit value is eliminated, returning the residual matching working condition after elimination and the corresponding returned index parameter value to the service caller.
And 3, comparing index parameter values of the comparison working condition and the matching working condition, finding the operation problem of the comparison working condition, and adjusting the controllable parameters of the comparison working condition for optimization.
Example 1
One common situation encountered in a thermal power production environment is that different teams burn the same coal, resulting in different operating levels of the different teams due to different experience with operating combustion of equipment, coal quality, load, etc. In order to solve the problem, a better operation mode is found, and the optimization can be used as an operation guide through historical working condition matching. And matching historical working conditions according to the real-time running condition of the unit, and performing comparative analysis to guide the current actual operation.
The operation level of the unit can be judged from indexes such as boiler efficiency, consumption difference and the like. In a business scenario example requiring analysis of comparison operation habits in team operation, several main influence factors irrelevant to operation need to be considered, the current working condition is taken as a comparison working condition, a matching model is established for such a business scenario, and firstly, several main uncontrollable parameters are taken as matching index parameters, such as: load, received base low heating value and ambient temperature. And after the matching index parameters are determined, setting constraint conditions.
The threshold range of the load and the received base heat value parameter is set to be 5 percent, namely, each index parameter of the matched working condition is permitted to fluctuate between-5 percent and +5 percent around the value of the current working condition.
The lower limit of the load can be set to 300MW for a 1000MW unit, the working condition is guaranteed to be in effective load, and the threshold range of the set environment temperature is limited by fluctuation of 3 ℃ from top to bottom.
And setting a weight factor for the matching index parameter according to the matching service requirement. If the requirement on the stability of the load is high, the weight of the load can be set to be a little higher, and if the requirement on the coal quality matching is high, the weight of the received basic heat value can be dynamically improved. In this embodiment, the load, the received base calorific value, and the ambient temperature are set to influence factor weights of 0.4, and 0.2, respectively.
Due to device engineering, there may be some errors in the device output and design values. Therefore, the matched working condition time range needs to be determined, the time is the time invested after the last technical improvement of the main equipment, and the output of the equipment under the historical working condition is ensured to be the same as the actual capacity of the current equipment.
The lower limit value of the similarity of the working conditions is set to be 0.9, the value can be adjusted according to the number of matched records, and the matching of the similar working conditions in a certain number range is guaranteed.
As the manual operation is analyzed, in order to obtain the combustion experience of different teams and groups, parameters for controlling the operation are required to be used as return parameters, the parameters for controlling the operation are air door opening and oxygen quantity, 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 used as the return index parameters.
After the model is established, the load of the current working condition, the received base low heating value and the environmental temperature value can be called in real time to serve as the matching parameter value calling algorithm, and the working condition is matched. And searching all steady-state working conditions in the period of time from the collected time range according to the determined retrieval time range.
And recording and reading the measuring point data stored in the time sequence database aiming at each steady-state working condition, and calculating the integral mean value of the load, the received base low-order heating value and the ambient temperature according to time within the time period of the steady-state working condition. And comparing the integral mean value of each parameter with the value of the current working condition, if the integral mean value of each parameter is within the threshold fluctuation range of the parameter, keeping the working condition, and if the integral mean value of each parameter is within the threshold fluctuation range of the parameter, discarding the working condition, thereby screening out the approximate working condition which meets the comparison condition. For example, when the load of the comparison working condition is 98, the matched steady-state working condition load is set to be 93-103 according to the threshold value, and the working condition with the load out of the range is eliminated. And other matching parameters are also filtered for the working condition records in turn.
And according with the recorded working condition, subtracting the absolute value of the comparison load value from the integral mean value of the load removal, dividing the absolute value by the value of the comparison load, calculating the offset ratio, and multiplying the offset ratio by a weight factor of 0.4 to obtain the offset coefficient of the parameter. The received base low heating value and the ambient temperature are processed as above, and the offset coefficients of the 3 matching parameters are summed to obtain a total offset coefficient. And subtracting the total offset coefficient by 1 to obtain the similarity of the working condition and the compared real-time working condition under 3 matching parameters of load, received base low-order heating value and ambient temperature.
According to the similarity lower limit value of 0.9, only the working conditions with the similarity greater 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 air door 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 reheated steam temperature consumption difference, the backpressure consumption difference and the like of the return index parameters under 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 returned index parameter which meet the conditions after the final matching is finished.
And comparing and analyzing the obtained steady-state working condition and the returned index parameter with the current actual value, searching the matching working condition with the minimum comprehensive consumption difference, comparing the air door opening and oxygen content of the working condition with the air door opening and oxygen content of the current working condition, recommending the current operating team to adjust according to the referable historical superior value, improving the operation, improving the unit operating efficiency and improving the economy.
The method for matching the steady-state working conditions of the unit based on the similarity dynamic model is not only used for matching and optimizing the service processing scenes in real time as exemplified above, but also can be widely applied to all service scenes needing historical working condition matching. The comparison working condition is not limited to the real-time working condition, but can be a historical working condition or even a virtual working condition of a user. The method provides simple and rapid processing for the processing process based on historical working condition matching and analysis and calculation.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (8)
1. A unit steady-state working condition matching method based on a similarity dynamic model is characterized by comprising the following steps:
taking the unit operation condition of the designated 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 unit;
and acquiring steady-state working conditions within the screening time range according to the threshold value and the time range of the matching index parameters, performing similarity sorting on the acquired steady-state working conditions, taking the corresponding working conditions larger than the similarity low limit value as matching working conditions, and adjusting the operation parameters of the comparison working condition unit according to the matching working conditions.
2. The method for matching the steady-state working condition of the unit based on the similarity dynamic model as claimed in claim 1, wherein the threshold value of the matching index parameter comprises a fixed value and an interval value.
3. The method for matching the steady-state working condition of the unit based on the similarity dynamic model as claimed in claim 1, wherein the number of the matching index parameters is multiple, and the weight sum of the multiple matching index parameters is 1.
4. The method for matching the steady-state working condition of the unit based on the similarity dynamic model as claimed in claim 1, wherein the screening time range is a time range in which the state of the unit in the selected historical time is the same as the state of the current unit.
5. The method for matching the steady-state working condition of the unit based on the similarity dynamic model according to claim 1, wherein the method for performing similarity ranking on 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 matching index parameter, calculating the similarity of the steady-state working condition according to the offset coefficient, and sequencing in a descending order.
6. The method for matching the steady-state working condition of the unit based on the similarity dynamic model as claimed in claim 1, wherein the similarity calculation formula is as follows:
wherein alpha is a set matching index parameter, beta is a numerical value of the set index parameter in the matching working condition, and t1And t2The start and end of the time range.
7. The method for matching the steady-state working condition of the unit based on the similarity dynamic model as claimed in claim 6, wherein index parameters output by the matching model are set according to the operation requirements of the unit, values of the corresponding index parameters in the matching working condition are retrieved, and the operation parameters of the comparison working condition are adjusted according to the values of the index parameters.
8. A system of a unit steady-state working condition matching method based on a similarity dynamic model is characterized in that the system executes the method of any one of claims 1 to 7 when running.
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