CN117875092B - Method, device, equipment and storage medium for predicting operation cost of oil immersed transformer - Google Patents
Method, device, equipment and storage medium for predicting operation cost of oil immersed transformer Download PDFInfo
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Abstract
The application relates to the technical field of equipment simulation, in particular to a method, a device, equipment and a storage medium for predicting the running cost of an oil immersed transformer, which are used for collecting the first running cost of each oil immersed transformer assembly in the oil immersed transformer under a standard transformation scene, monitoring the internal eddy current loss of the oil immersed transformer assembly and outputting the lifting level of an oil level gauge value of the oil immersed transformer assembly along with a magnetic conduction process; collecting the ratio of the current collected temperature to the current temperature difference of each oil immersed transformer assembly, and calculating and outputting the expected change state of the cost of each oil immersed transformer assembly in the normal magnetic conduction process and the normal performance boundary of the oil immersed transformer assembly when the oil immersed transformer assembly is subjected to stable magnetic conduction; and controlling the operation cost of each oil immersed transformer assembly through the cooling cost state, the cost expected change state and the normal performance boundary of each oil immersed transformer assembly. The application can accurately predict and report the performance completely in actual application, and meets the requirement of individualized prediction of the residual operation efficiency cost of the transformer.
Description
Technical Field
The application relates to the technical field of equipment simulation, in particular to a method, a device, equipment and a storage medium for predicting the operation cost of an oil immersed transformer.
Background
The transmission and power supply capacity of the existing power transmission and transformation equipment is improved, and the method has important significance in the aspects of relieving contradiction between power supply and demand, saving resources, improving economic benefits of power enterprises and the like. The capacity-increasing technology of the power transmission and transformation equipment can be applied to a plurality of scenes, and in the electricity consumption peak period, the capacity-increasing operation can delay the investment of new power equipment, meet the electricity consumption requirement and reduce the equipment cost; in the electricity consumption off-peak period, the capacity-increasing operation can reduce the equipment operation quantity and reduce the operation loss and the operation maintenance cost; when equipment outage accidents or major cultural relics occur, capacity-increasing operation can ensure short-time power supply reliability, and buffer time is provided for next scheduling decision.
The main idea of the existing method in the field is to extract the typical performance characteristics or modes of equipment from dissolved gas data in transformer oil through a statistical model or a machine learning model, and give performance early warning and estimate the residual operation efficiency when the operation characteristics of equipment to be tested are consistent with the typical characteristics. However, the transformer performance is not only dependent on typical characteristics and rules in the historical data, but also on the personalized characteristics exhibited by the device from normal to performance, as affected by the device's personalized operating environment. The existing model and method only conduct performance prediction through extracted typical features and statistical rules, and are difficult to describe the influences of differences among devices and personalized operation features on performance prediction, so that the phenomena of low prediction accuracy, misreporting of performance and missing report exist in actual application, and the requirement of personalized prediction of the residual operation efficiency of the transformer cannot be met.
Disclosure of Invention
The application mainly aims to provide a method, a device, equipment and a storage medium for predicting the running cost of an oil immersed transformer, so as to solve the technical problem of inaccurate running cost evaluation of the oil immersed transformer in the prior art.
In order to achieve the above purpose, the present application provides the following technical solutions:
according to a first aspect of the present invention, the present invention provides a running cost estimating method for protecting an oil immersed transformer, applied to an oil immersed transformer formed by a plurality of oil immersed transformer components, comprising:
collecting the first operation cost of each oil immersed transformer assembly in the oil immersed transformer under a standard transformation scene, monitoring the internal eddy current loss of the oil immersed transformer assembly, and outputting the lifting level of the oil level gauge value of the oil immersed transformer assembly along with the magnetic conduction process;
The magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process is monitored currently under the standard transformation scene, and the ratio of the current collected temperature and the current temperature difference value of each oil immersed transformer assembly is collected;
calculating and outputting the expected change state of the cost of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current acquisition temperature;
Acquiring the expected cost change state and the cooling cost state of the magnetic conduction of the oil immersed transformer assembly at each magnetic conduction coefficient point, and calculating and outputting the normal performance boundary of the oil immersed transformer assembly when the magnetic conduction is stable;
and controlling the operation cost of each oil immersed transformer assembly through the cooling cost state, the cost expected change state and the normal performance boundary of each oil immersed transformer assembly.
Further, collect first operation cost of each oil immersed transformer subassembly of oil immersed transformer under standard transformation scene, still include:
the first operating cost of the plurality of oil immersed transformer assemblies is expressed as:
Wherein the method comprises the steps of For the first operation cost of the oil immersed transformer component,/>The first running cost value of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly in a specified state is obtained;
and if the first running cost value of each oil immersed transformer assembly exceeds the historical difference proportion, the oil immersed transformer assembly needs to be replaced under the first condition.
Further, the monitoring of the internal eddy current loss of the oil immersed transformer assembly, outputting the lifting level of the oil level gauge value of the oil immersed transformer assembly along with the magnetic conduction process, further comprises:
Collecting corresponding regression formulas according to the cost difference of different oil immersed transformer components;
The regression process adopts a linear regression method, and the oil level gauge value of the oil immersed transformer estimates the temperature along with the lifting level of the magnetic conduction process The matrix is:
；
In the middle of The device comprises a body component, an oil tank component, a cooling component, a protection component and an outgoing line component, wherein the estimated temperature value-oil level gauge value is along with the lifting level of the magnetic conduction process.
Further, the current monitoring of the magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process under the standard transformation scene collects the current collection temperature and the current temperature difference ratio of each oil immersed transformer assembly, and further comprises:
Temperature of each oil immersed transformer assembly is currently collected along with lifting level of magnetic conduction process The matrix is:
；
In the middle of The temperature of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly is collected currently;
according to the current temperature acquisition state, the estimated temperature is currently adjusted in a control strategy A matrix;
In the middle of For adjusting the coefficients;
Outputting the current temperature difference ratio between the oil immersed transformer components Matrix:
；
；
；
；
；
；
In the middle of The temperature difference proportion of the current temperature difference of the body component, the oil tank component, the cooling component, the protection component and the outlet component is adopted.
Further, the calculating and outputting the expected change state of the cost of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current collecting temperature, further comprises:
estimating the temperature according to the level of the oil level gauge value of the oil immersed transformer along with the rise and fall of the magnetic conduction process Matrix and current adjustment estimated temperature/>Matrix carrying-in/out estimated temperature difference proportional matrix between oil immersed transformer componentsAs the cost expected change state of each oil immersed transformer assembly in a standard transformer scenario:
;
;
;
;
;
Representing the expected change state of the cost of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly;
Calculating the expected cost change speed matrix of each oil immersed transformer assembly ：
;
,/>,/>,;
Indicating the expected cost change speed of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly;
Thereby calculating the expected cost change speed difference value proportional matrix of each oil immersed transformer assembly ：
;
;
;
;
;
;
Indicating the expected cost change speed differential ratio of the body assembly, the tank assembly, the cooling assembly, the protection assembly, and the outlet assembly.
Further, the method for controlling the running cost of each oil immersed transformer assembly through the cooling cost state, the expected cost change state and the normal performance boundary of each oil immersed transformer assembly further comprises:
regulating and controlling the magnetic conduction mode of each oil immersed transformer assembly by utilizing the estimated temperature difference proportional matrix among the oil immersed transformer assemblies and the expected cost change speed difference proportional matrix of each oil immersed transformer assembly, wherein the heat released by the actual pressure and the horizontal matrix of the magnetic conduction coefficient are used as the limiting output heat;
and when the temperature difference ratio of the working scenes of the oil immersed transformer components in the current temperature difference ratio matrix between the oil immersed transformer components is not smaller than the first historical value, regulating and controlling intervention.
Further, the method for controlling the running cost of each oil immersed transformer assembly through the expected change state of the cost of each oil immersed transformer assembly and the normal performance boundary further comprises:
If there is a cost reduction in the partial oil immersed transformer assembly, a hybrid magnetic conduction mode is adopted:
The part of the oil immersed transformer assembly with reduced cost calculates the working scene with low output change speed to conduct magnetic conduction, and meanwhile, if the eddy current loss or insufficient heat exists in the total output, one or a plurality of oil immersed transformer assemblies with the least calculated output change are conducted magnetic conduction by adopting the magnetic conduction working scene with high magnetic conduction coefficient;
And calculating the total internal eddy current loss and heat output value of all the needed oil immersed transformers in the magnetic conduction current and output temperature.
According to a second aspect of the present invention, the present invention provides an operation cost estimation device for protecting an oil immersed transformer, comprising:
the loss monitoring module is used for collecting the first operation cost of each oil immersed transformer assembly in the oil immersed transformer in a standard transformation scene, monitoring the internal eddy current loss of the oil immersed transformer assembly and outputting the lifting level of the oil level gauge value of the oil immersed transformer assembly along with the magnetic conduction process;
The temperature acquisition module is used for currently monitoring the magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process under the standard transformation scene and acquiring the current acquisition temperature and the current temperature difference ratio of each oil immersed transformer assembly;
The cost prediction module calculates and outputs the cost prediction change state of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current acquisition temperature;
The normal boundary detection module is used for collecting the expected cost change state and the cooling cost state of the magnetic conduction of the oil immersed transformer assembly at each magnetic conduction coefficient point and calculating and outputting the normal performance boundary of the oil immersed transformer assembly when the magnetic conduction is stable;
And the cost control module is used for controlling the operation cost of each oil immersed transformer assembly through the cooling cost state, the cost expected change state and the normal performance boundary of each oil immersed transformer assembly.
According to a third aspect of the present invention, the present invention claims an operation cost prediction apparatus for an oil immersed transformer, comprising:
One or more processors;
And the memory is stored with one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors realize the running cost estimation method of the oil immersed transformer.
According to a fourth aspect of the present invention, a storage medium is claimed, on which a computer program is stored, which computer program, when being executed by a processor, implements the method for estimating the running cost of an oil immersed transformer.
The application relates to the technical field of equipment simulation, in particular to a method, a device, equipment and a storage medium for predicting the running cost of an oil immersed transformer, which are used for collecting the first running cost of each oil immersed transformer assembly in the oil immersed transformer under a standard transformation scene, monitoring the internal eddy current loss of the oil immersed transformer assembly and outputting the lifting level of an oil level gauge value of the oil immersed transformer assembly along with a magnetic conduction process; collecting the ratio of the current collected temperature to the current temperature difference of each oil immersed transformer assembly, and calculating and outputting the expected change state of the cost of each oil immersed transformer assembly in the normal magnetic conduction process and the normal performance boundary of the oil immersed transformer assembly when the oil immersed transformer assembly is subjected to stable magnetic conduction; and controlling the operation cost of each oil immersed transformer assembly through the cooling cost state, the cost expected change state and the normal performance boundary of each oil immersed transformer assembly. The application can accurately predict and report the performance completely in actual application, and meets the requirement of individualized prediction of the residual operation efficiency cost of the transformer.
Drawings
Fig. 1 is a flowchart illustrating a method for estimating an operation cost of an oil-immersed transformer according to an embodiment of the present invention;
fig. 2 is a block diagram of an operation cost estimating apparatus for an oil immersed transformer according to an embodiment of the present invention;
Fig. 3 is a block diagram of an operation cost estimation device for an oil immersed transformer according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the application. All other embodiments, which are contemplated by those of ordinary skill in the art based on the embodiments of this application without undue burden, are within the scope of this application.
The terms "first," "second," "third," and the like in this disclosure are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "first," "second," and "third" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise. All directional indications (such as up, down, left, right, front, back … …) in embodiments of the present application are merely used to explain the relative positional levels, movement states, etc. between the components in a particular gesture (as shown in the figures), and if the particular gesture changes, the directional indication changes accordingly. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or elements but may, in the alternative, include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
According to a first embodiment of the present invention, referring to fig. 1, the operation cost prediction method for protecting an oil immersed transformer of the present invention is applied to an oil immersed transformer formed by a plurality of oil immersed transformer components, and includes:
collecting the first operation cost of each oil immersed transformer assembly in the oil immersed transformer under a standard transformation scene, monitoring the internal eddy current loss of the oil immersed transformer assembly, and outputting the lifting level of the oil level gauge value of the oil immersed transformer assembly along with the magnetic conduction process;
The magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process is monitored currently under the standard transformation scene, and the ratio of the current collected temperature and the current temperature difference value of each oil immersed transformer assembly is collected;
calculating and outputting the expected change state of the cost of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current acquisition temperature;
Acquiring the expected cost change state and the cooling cost state of the magnetic conduction of the oil immersed transformer assembly at each magnetic conduction coefficient point, and calculating and outputting the normal performance boundary of the oil immersed transformer assembly when the magnetic conduction is stable;
and controlling the operation cost of each oil immersed transformer assembly through the cooling cost state, the cost expected change state and the normal performance boundary of each oil immersed transformer assembly.
In this embodiment, the magnetic conduction working scene of the oil immersed transformer device is adjusted according to the required electric heating requirement, but for the purpose of longer operation efficiency of the device, the magnetic conduction adjusting frequency is generally slower, and the working scene is formulated more gently. However, the working scene making process needs to conform to the actual application scene, and the variable load frequency is considered.
The oil immersed transformer assembly comprises a body assembly, an oil tank assembly, a cooling assembly, a protection assembly and an outgoing line assembly;
the hull assembly includes: iron core (iron core column, iron yoke), (low voltage, high voltage) winding, (inner, outer) insulation structure;
The oil tank assembly includes: oil storage tank (oil level gauge), breather (oil seal desiccant);
the cooling assembly includes: (removing heat such as copper loss and iron loss), a self-cooling, air cooling and water cooling fan, an oil pump, an oil flow relay and a cooling fin; the protection component comprises: a pressure release valve, a gas relay;
The subassembly of being qualified for next round of competitions includes: an insulating sleeve.
Further, collect first operation cost of each oil immersed transformer subassembly of oil immersed transformer under standard transformation scene, still include:
the first operating cost of the plurality of oil immersed transformer assemblies is expressed as:
Wherein the method comprises the steps of For the first operation cost of the oil immersed transformer component,/>The first running cost value of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly in a specified state is obtained;
and if the first running cost value of each oil immersed transformer assembly exceeds the historical difference proportion, the oil immersed transformer assembly needs to be replaced under the first condition.
In the embodiment, other oil immersed transformer components in the same batch are extracted in advance to perform internal eddy current loss bottoming monitoring, and the lifting level M of an oil level gauge value along with a magnetic conduction process p is output and used as an input condition of the oil immersed transformer; m= -0.0003p+0.7426, regression formulas are also different according to the difference of different device costs. The regression process may employ linear regression such as least squares or the like.
Further, the monitoring of the internal eddy current loss of the oil immersed transformer assembly, outputting the lifting level of the oil level gauge value of the oil immersed transformer assembly along with the magnetic conduction process, further comprises:
Collecting corresponding regression formulas according to the cost difference of different oil immersed transformer components;
The regression process adopts a linear regression method, and the oil level gauge value of the oil immersed transformer estimates the temperature along with the lifting level of the magnetic conduction process The matrix is:
；
In the middle of The device comprises a body component, an oil tank component, a cooling component, a protection component and an outgoing line component, wherein the estimated temperature value-oil level gauge value is along with the lifting level of the magnetic conduction process.
In this embodiment, the cost of the oil tank assembly and the cooling assembly is obviously reduced after the magnetic conduction process of one section, which indicates that the oil tank assembly and the cooling assembly are two assemblies with poor cost consistency of the oil immersed transformer assembly device, and the other assemblies show high cost consistency. Therefore, the control strategy regulation needs to be carried out as soon as possible, and an energy management strategy is carried out for the oil tank assembly and the cooling assembly in advance, so that the long-term healthy magnetic conduction of the device is ensured.
Further, the current monitoring of the magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process under the standard transformation scene collects the current collection temperature and the current temperature difference ratio of each oil immersed transformer assembly, and further comprises:
Temperature of each oil immersed transformer assembly is currently collected along with lifting level of magnetic conduction process The matrix is:
；
In the middle of The temperature of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly is collected currently;
according to the current temperature acquisition state, the estimated temperature is currently adjusted in a control strategy A matrix;
In the middle of For adjusting the coefficients;
Outputting the current temperature difference ratio between the oil immersed transformer components Matrix:
；
；
；
；
；
；
In the middle of The temperature difference proportion of the current temperature difference of the body component, the oil tank component, the cooling component, the protection component and the outlet component is adopted.
In this embodiment, the magnitude of the heat generated by the oil-immersed transformer is closely related to the magnitude of the magnetic permeability, and the higher the magnetic permeability is in the selected interval, the greater the heat generated by each component of the oil-immersed transformer is.
The heat generation amount Q is positively correlated with the magnetic permeability, so the larger the magnetic permeability is, the higher the heat generation amount is. The two different magnetic permeability coefficients can be corresponding to the left side and the right side of the eddy current loss in the peak value under the same input eddy current loss, namely, two magnetic conduction modes can be selected under the same output of the eddy current loss, and when the right side of the eddy current loss in the peak value is magnetically conducted, the magnetic conduction of the oil immersed transformer is conducted under the condition of high magnetic permeability, and the heat generation quantity is larger. And when the eddy current loss left side is magnetically conductive in the peak value, the magnetic permeability of the oil immersed transformer is lower, the heat generation amount is smaller, but the efficiency of the oil immersed transformer is higher (the efficiency is equal to the current temperature divided by the theoretical temperature, and the theoretical temperature is a known amount). Thus, the overall transformer output objective can be achieved by adjusting the temperature and heat output of the partial device.
However, the operating efficiency of the multimachine device is different in different magnetic conduction states. Low magnetic permeability, i.e. high temperature magnetic conduction, has an adverse effect on the operating efficiency of the device (corrosion aggravation); when the magnetic permeability is high, the difficulty of water thermal management is increased, and adverse effects (flooding, undergassing) and the like on the operation efficiency of the device are also easy to cause. In addition, eddy current loss is diversified in magnetic conduction, so that the magnetic conduction coefficient is also easy to adversely affect the operation efficiency of the device due to the diversified lifting of the magnetic conduction coefficient. The optimal magnetic conduction state is that the device is stable in magnetic conduction and continuously stable in magnetic conduction in a proper working scene.
Further, the calculating and outputting the expected change state of the cost of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current collecting temperature, further comprises:
estimating the temperature according to the level of the oil level gauge value of the oil immersed transformer along with the rise and fall of the magnetic conduction process Matrix and current adjustment estimated temperature/>Matrix carrying-in/out estimated temperature difference proportional matrix between oil immersed transformer componentsAs the cost expected change state of each oil immersed transformer assembly in a standard transformer scenario:
;
;
;
;
;
Representing the expected change state of the cost of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly;
Calculating the expected cost change speed matrix of each oil immersed transformer assembly ：
;
,/>,/>,;
Indicating the expected cost change speed of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly;
Thereby calculating the expected cost change speed difference value proportional matrix of each oil immersed transformer assembly ：
;
;
;
;
;
;
Indicating the expected cost change speed differential ratio of the body assembly, the tank assembly, the cooling assembly, the protection assembly, and the outlet assembly.
Further, the method for controlling the running cost of each oil immersed transformer assembly through the cooling cost state, the expected cost change state and the normal performance boundary of each oil immersed transformer assembly further comprises:
regulating and controlling the magnetic conduction mode of each oil immersed transformer assembly by utilizing the estimated temperature difference proportional matrix among the oil immersed transformer assemblies and the expected cost change speed difference proportional matrix of each oil immersed transformer assembly, wherein the heat released by the actual pressure and the horizontal matrix of the magnetic conduction coefficient are used as the limiting output heat;
and when the temperature difference ratio of the working scenes of the oil immersed transformer components in the current temperature difference ratio matrix between the oil immersed transformer components is not smaller than the first historical value, regulating and controlling intervention.
Further, the method for controlling the running cost of each oil immersed transformer assembly through the expected change state of the cost of each oil immersed transformer assembly and the normal performance boundary further comprises:
If there is a cost reduction in the partial oil immersed transformer assembly, a hybrid magnetic conduction mode is adopted:
The part of the oil immersed transformer assembly with reduced cost calculates the working scene with low output change speed to conduct magnetic conduction, and meanwhile, if the eddy current loss or insufficient heat exists in the total output, one or a plurality of oil immersed transformer assemblies with the least calculated output change are conducted magnetic conduction by adopting the magnetic conduction working scene with high magnetic conduction coefficient;
And calculating the total internal eddy current loss and heat output value of all the needed oil immersed transformers in the magnetic conduction current and output temperature.
In this embodiment, if the long-term magnetic conduction of a part of the oil-immersed transformer is also possible to cause too high damage speed of the cost of the oil-immersed transformer under the working scene of high magnetic conduction coefficient, the change speed of the oil-immersed transformer with better original cost is too high. Therefore, the change speed between the oil immersed transformers needs to be considered when the magnetic conduction working scene is selected. And constraining the estimated result by using the expected cost change state of the component and the expected cost change speed difference ratio of the component, and inputting the magnetic conduction process condition. The cost performance of each oil immersed transformer after the mixed magnetic conduction mode is adopted is estimated. If the predicted cost change state of the component is not more than 5% and the predicted cost change speed difference ratio of the formula component is not more than 10%, the working scene combination can be adopted, otherwise, the working scene adjustment is carried out. Meanwhile, after the partial oil immersed transformer components pass through the adjustment of the working scene, the total heat output requirement of summation output of the oil immersed transformer components is consistent with the total cooling cost during normal magnetic conduction before adjustment.
According to a second embodiment of the present invention, referring to fig. 2, the present invention is directed to an operation cost estimating apparatus for protecting an oil immersed transformer, comprising:
the loss monitoring module is used for collecting the first operation cost of each oil immersed transformer assembly in the oil immersed transformer in a standard transformation scene, monitoring the internal eddy current loss of the oil immersed transformer assembly and outputting the lifting level of the oil level gauge value of the oil immersed transformer assembly along with the magnetic conduction process;
The temperature acquisition module is used for currently monitoring the magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process under the standard transformation scene and acquiring the current acquisition temperature and the current temperature difference ratio of each oil immersed transformer assembly;
The cost prediction module calculates and outputs the cost prediction change state of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current acquisition temperature;
The normal boundary detection module is used for collecting the expected cost change state and the cooling cost state of the magnetic conduction of the oil immersed transformer assembly at each magnetic conduction coefficient point and calculating and outputting the normal performance boundary of the oil immersed transformer assembly when the magnetic conduction is stable;
And the cost control module is used for controlling the operation cost of each oil immersed transformer assembly through the cooling cost state, the cost expected change state and the normal performance boundary of each oil immersed transformer assembly.
According to a third embodiment of the present invention, referring to fig. 3, the present invention claims an operation cost prediction apparatus of an oil immersed transformer, comprising:
One or more processors;
And the memory is stored with one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors realize the running cost estimation method of the oil immersed transformer.
According to a fourth embodiment of the present invention, the present invention claims a storage medium having stored thereon a computer program which, when executed by a processor, implements the method for estimating an operating cost of an oil immersed transformer.
A flowchart is used in this disclosure to describe the steps of a method according to an embodiment of the present disclosure. It should be understood that the steps that follow or before do not have to be performed in exact order. Rather, the various steps may be processed in reverse order or simultaneously. Also, other operations may be added to these processes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the methods described above may be implemented by a computer program to instruct related hardware, and the program may be stored in a computer readable storage medium, such as a read only memory, a magnetic disk, or an optical disk. Alternatively, all or part of the steps of the above embodiments may be implemented using one or more integrated circuits. Accordingly, each module/unit in the above embodiment may be implemented in the form of hardware, or may be implemented in the form of a software functional module. The present disclosure is not limited to any specific form of combination of hardware and software.
Unless defined otherwise, all terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The foregoing is illustrative of the present disclosure and is not to be construed as limiting thereof. Although a few exemplary embodiments of this disclosure have been described, those skilled in the art will readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of this disclosure. Accordingly, all such modifications are intended to be included within the scope of this disclosure as defined in the claims. It is to be understood that the foregoing is illustrative of the present disclosure and is not to be construed as limited to the specific embodiments disclosed, and that modifications to the disclosed embodiments, as well as other embodiments, are intended to be included within the scope of the appended claims. The disclosure is defined by the claims and their equivalents.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various elevations, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple elements or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The foregoing is only the embodiments of the present application, and the patent scope of the application is not limited thereto, but is also covered by the patent protection scope of the application, as long as the equivalent structure or equivalent flow changes made by the description and the drawings of the application or the direct or indirect application in other related technical fields are adopted.
The embodiments of the application have been described in detail above, but they are merely examples, and the application is not limited to the above-described embodiments. It will be apparent to those skilled in the art that any equivalent modifications or substitutions to this application are within the scope of the application, and therefore, all equivalent changes and modifications, improvements, etc. that do not depart from the spirit and scope of the principles of the application are intended to be covered by this application.
Claims (4)
1. The operation cost estimation method of the oil immersed transformer is applied to the oil immersed transformer formed by a plurality of oil immersed transformer components and is characterized by comprising the following steps:
collecting the first operation cost of each oil immersed transformer assembly in the oil immersed transformer under a standard transformation scene, monitoring the internal eddy current loss of the oil immersed transformer assembly, and outputting the lifting level of the oil level gauge value of the oil immersed transformer assembly along with the magnetic conduction process;
The magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process is monitored currently under the standard transformation scene, and the ratio of the current collected temperature and the current temperature difference value of each oil immersed transformer assembly is collected;
calculating and outputting the expected change state of the cost of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current acquisition temperature;
Acquiring the expected cost change state and the cooling cost state of the magnetic conduction of the oil immersed transformer assembly at each magnetic conduction coefficient point, and calculating and outputting the normal performance boundary of the oil immersed transformer assembly when the magnetic conduction is stable;
Performing operation cost control on each oil immersed transformer assembly through the cooling cost state, the cost expected change state and the normal performance boundary of each oil immersed transformer assembly;
collecting first operation cost of each oil immersed transformer assembly of the oil immersed transformer in a standard transformation scene, and further comprising:
the first operating cost of the plurality of oil immersed transformer assemblies is expressed as:
Wherein the method comprises the steps of For the first operation cost of the oil immersed transformer component,/>The first running cost value of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly in a specified state is obtained;
If the first running cost value of each oil immersed transformer component exceeds the historical difference proportion, the oil immersed transformer component needs to be replaced under the first condition;
The oil level gauge for the oil immersed transformer assembly monitors the internal eddy current loss, outputs the lifting level of the oil immersed transformer assembly along with the magnetic conduction process, and further comprises:
Collecting corresponding regression formulas according to the cost difference of different oil immersed transformer components;
The regression process adopts a linear regression method, and the oil level gauge value of the oil immersed transformer estimates the temperature along with the lifting level of the magnetic conduction process The matrix is:
；
In the middle of The estimated temperature value-oil level gauge value of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly is the lifting level along with the magnetic conduction process;
The current magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process is monitored under the standard transformation scene, the current collection temperature and the current temperature difference ratio of each oil immersed transformer assembly are collected, and the method further comprises the following steps:
Temperature of each oil immersed transformer assembly is currently collected along with lifting level of magnetic conduction process The matrix is:
；
In the middle of The temperature of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly is collected currently;
according to the current temperature acquisition state, the estimated temperature is currently adjusted in a control strategy A matrix;
In the middle of For adjusting the coefficients;
Outputting the current temperature difference ratio between the oil immersed transformer components Matrix:
；
；
；
；
；
；
In the middle of The temperature sensor comprises a body component, an oil tank component, a cooling component, a protection component and a wire outlet component;
The method comprises the steps of calculating and outputting the expected change state of the cost of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current acquisition temperature, and further comprising:
estimating the temperature according to the level of the oil level gauge value of the oil immersed transformer along with the rise and fall of the magnetic conduction process Matrix and current adjustment estimated temperature/>Matrix carrying-in/out estimated temperature difference proportional matrix between oil immersed transformer componentsAs the cost expected change state of each oil immersed transformer assembly in a standard transformer scenario:
;
;
;
;
;
Representing the expected change state of the cost of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly;
Calculating the expected cost change speed matrix of each oil immersed transformer assembly ：
;
,/>,/>,;
Indicating the expected cost change speed of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly;
Thereby calculating the expected cost change speed difference value proportional matrix of each oil immersed transformer assembly ：
;
;
;
;
;
;
Indicating the expected cost change speed difference ratio of the body assembly, the oil tank assembly, the cooling assembly, the protection assembly and the outlet assembly;
the method for controlling the running cost of each oil immersed transformer assembly through the cooling cost state, the expected cost change state and the normal performance boundary of each oil immersed transformer assembly further comprises the following steps:
Regulating and controlling the magnetic conduction mode of each oil immersed transformer assembly by utilizing the estimated temperature difference proportional matrix among the oil immersed transformer assemblies and the expected cost change speed difference proportional matrix of each oil immersed transformer assembly, wherein the heat released by the actual pressure and the horizontal matrix of the magnetic conduction coefficient are used as limiting output heat;
regulating intervention when the temperature difference ratio of each oil immersed transformer assembly in the current temperature difference ratio matrix between each oil immersed transformer assembly is not less than a first historical value when the working scene of each oil immersed transformer assembly is stable and magnetic conductive;
The method for controlling the running cost of each oil immersed transformer assembly through the expected cost change state and the normal performance boundary of each oil immersed transformer assembly further comprises the following steps:
If there is a cost reduction in the partial oil immersed transformer assembly, a hybrid magnetic conduction mode is adopted:
The part of the oil immersed transformer assembly with reduced cost calculates the working scene with low output change speed to conduct magnetic conduction, and meanwhile, if the eddy current loss or insufficient heat exists in the total output, one or a plurality of oil immersed transformer assemblies with the least calculated output change are conducted magnetic conduction by adopting the magnetic conduction working scene with high magnetic conduction coefficient;
And calculating the total internal eddy current loss and heat output value of all the needed oil immersed transformers in the magnetic conduction current and output temperature.
2. The running cost estimating device of the oil immersed transformer is characterized by comprising the following components:
the loss monitoring module is used for collecting the first operation cost of each oil immersed transformer assembly in the oil immersed transformer in a standard transformation scene, monitoring the internal eddy current loss of the oil immersed transformer assembly and outputting the lifting level of the oil level gauge value of the oil immersed transformer assembly along with the magnetic conduction process;
The temperature acquisition module is used for currently monitoring the magnetic conduction temperature of each oil immersed transformer assembly in the actual magnetic conduction process under the standard transformation scene and acquiring the current acquisition temperature and the current temperature difference ratio of each oil immersed transformer assembly;
The cost prediction module calculates and outputs the cost prediction change state of each oil immersed transformer assembly in the normal magnetic conduction process according to the lifting level of the oil level gauge value of each oil immersed transformer assembly along with the magnetic conduction process and the current acquisition temperature;
The normal boundary detection module is used for collecting the expected cost change state and the cooling cost state of the magnetic conduction of the oil immersed transformer assembly at each magnetic conduction coefficient point and calculating and outputting the normal performance boundary of the oil immersed transformer assembly when the magnetic conduction is stable;
the cost control module is used for controlling the operation cost of each oil immersed transformer assembly through the cooling cost state, the cost expected change state and the normal performance boundary of each oil immersed transformer assembly;
The running cost estimating device of the oil immersed transformer is used for executing the running cost estimating method of the oil immersed transformer according to claim 1.
3. The operation cost prediction device for an oil immersed transformer is characterized by comprising:
One or more processors;
A memory having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to implement the method of operating cost estimation for an oil immersed transformer according to claim 1.
4. A storage medium having stored thereon a computer program which, when executed by a processor, implements the method of operation cost estimation for an oil immersed transformer according to claim 1.
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