CN113849023B - Logic method for regulating and controlling environment in offshore wind power converter cabinet - Google Patents
Logic method for regulating and controlling environment in offshore wind power converter cabinet Download PDFInfo
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- CN113849023B CN113849023B CN202111114233.0A CN202111114233A CN113849023B CN 113849023 B CN113849023 B CN 113849023B CN 202111114233 A CN202111114233 A CN 202111114233A CN 113849023 B CN113849023 B CN 113849023B
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses an environmental regulation control logic method in an offshore wind power converter cabinet, which comprises the following steps: collecting environmental information in an offshore wind power converter cabinet and preprocessing the environmental information; analyzing the preprocessed environmental information according to historical operation data information, and extracting characteristic factors influencing the environment in the offshore wind power converter cabinet; constructing a control logic model, and training the control logic model by using the characteristic factors to obtain a trained control logic model; and adjusting the environment in the offshore wind power converter cabinet in real time by using the trained control logic model, so that a stable microenvironment is kept in the converter cabinet. According to the method, the environment in the cabinet is intelligently controlled, so that the temperature and the humidity in the cabinet are balanced, faults are avoided, the cost is saved, and the reliability is improved.
Description
Technical Field
The invention relates to the technical field of converters and environment regulation, in particular to an environment regulation control logic method in an offshore wind power converter cabinet.
Background
In the converter cabinet, a temperature field, a stress field, a flow field, a humidity field and the like are distributed, and are mutually related and mutually influenced. In order to effectively prevent corrosion, a stable microenvironment needs to be maintained in the converter cabinet, so that the converter can be effectively protected; the thermodynamic field and the coupling technology of the product are researched, the microenvironment of the product is regulated in an active and passive mode, and the drying agent, the heater, the dehumidifier, the temperature and humidity sensor, the PT100, the temperature protection button switch, the motor switch, the water path heating pipeline and other devices in the cabinet form an organic whole through a logic control method, so that the microenvironment of the converter is built together.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the technical problem solved by the invention is as follows: the prior art can not effectively control the environment in the cabinet, so that the effect of an organic whole is achieved.
In order to solve the technical problems, the invention provides the following technical scheme: collecting environmental information in an offshore wind power converter cabinet and preprocessing the environmental information; analyzing the preprocessed environmental information according to historical operation data information, and extracting characteristic factors influencing the environment in the offshore wind power converter cabinet; constructing a control logic model, and training the control logic model by using the characteristic factors to obtain a trained control logic model; and adjusting the environment in the offshore wind power converter cabinet in real time by using the trained control logic model, so that a stable microenvironment is maintained in the converter cabinet.
As a preferred scheme of the method for controlling the environmental regulation in the offshore wind power converter cabinet, the method comprises the following steps: the environmental information in the offshore wind power converter cabinet comprises temperature, stress, space occupied by fluid motion and humidity.
As a preferred scheme of the method for controlling the environmental regulation in the offshore wind power converter cabinet, the method comprises the following steps: the pre-processing of the context information includes,
cleaning vacancy values, format contents, logic errors and non-demand information;
performing feature construction, information classification and information quantization on the environmental information;
carrying out information statistics on the information after information transformation, and merging the information into a unified information storage;
and detecting and removing samples which are possibly abnormal in the information samples by adopting an outlier sample detection strategy based on clustering.
As a preferred scheme of the method for controlling the environmental regulation in the offshore wind power converter cabinet, the method comprises the following steps: the historical operation data information comprises working voltage, load, current and environment information data of the converter during operation under different environment information conditions.
As a preferred scheme of the method for controlling the environmental regulation in the offshore wind power converter cabinet, the method comprises the following steps: using T (T)1，t2，...，tm) Representing said offshore wind power converter operational related data, S (S)1，s2，...，sn) Representing the working state of the heating and radiating system of the offshore wind power converter, Z (Z)1，z2，...，zk) Representing the characteristic factors of the environment in the offshore wind power converter cabinet, the operation related data T is represented as S, Z and a function of time T according to the following formula:
T＝f(S，Z，t)。
as a preferred scheme of the method for controlling the environmental regulation in the offshore wind power converter cabinet, the method comprises the following steps: the heating and heat dissipation system of the offshore wind power converter comprises a drying agent, a heater, a dehumidifier, a temperature and humidity sensor, a PT100, a temperature protection button switch, a motor switch and a waterway heating pipeline.
As a preferred scheme of the method for controlling the environmental regulation in the offshore wind power converter cabinet, the method comprises the following steps: constructing a control logic model based on the functional relationship includes,
the degree of fit of the control logic model is calculated using the following formula:
correlation index:
root mean square error:
wherein, TtRepresenting the actual values of the fit data,
the fit value representing the fit data is shown,
represents the mean of the fit data, n represents a constant coefficient, and t represents time.
As a preferred scheme of the method for controlling the environmental regulation in the offshore wind power converter cabinet, the method comprises the following steps: adjusting the environment in the cabinet with the heat dissipation system according to the correlation index and the root mean square error comprises,
when not started: when the correlation index is less than 0.89 and the root mean square error is more than 0.13, heating and dehumidifying the inside of the cabinet by using a heater and a dehumidifier until the temperature and humidity in the cabinet reach a preset threshold value, and powering on a controller;
after the start-up: when the correlation index is larger than 0.89 and smaller than 0.94 and the root mean square error is smaller than 0.13 and larger than 0.09, heating and dehumidifying the inside of the cabinet by using a heater and a dehumidifier until the temperature and humidity in the cabinet reach a preset threshold;
after the start-up: when the correlation index is equal to 0.89 and the root mean square error is equal to 0.13, performing forced heating for t time, wherein the t time is 6 h.
The invention has the beneficial effects that: according to the method, the temperature and the humidity in the cabinet are balanced by intelligently controlling the environment in the cabinet, so that faults are avoided, the converter is effectively protected, the cost is saved, and the reliability is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor. Wherein:
fig. 1 is a schematic basic flow chart of an environmental regulation control logic method in an offshore wind power converter cabinet according to an embodiment of the present invention;
fig. 2 is a schematic program code operation diagram of a clustering outlier sample detection strategy of an environmental regulation control logic method in an offshore wind power converter cabinet according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as specifically described herein, and it will be appreciated by those skilled in the art that the present invention may be practiced without departing from the spirit and scope of the present invention and that the present invention is not limited by the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" 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.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1 to 2, an embodiment of the present invention provides an environmental regulation control logic method in an offshore wind power converter cabinet, including:
s1: collecting environmental information in an offshore wind power converter cabinet and preprocessing the environmental information;
it should be noted that the environmental information in the offshore wind power converter cabinet includes temperature, stress, space occupied by fluid movement, and humidity.
Further, the preprocessing the environment information includes:
cleaning vacancy values, format contents, logic errors and non-demand information;
carrying out feature construction, information grading and information quantification on the environment information;
carrying out information statistics on the information after information transformation, and merging the information into a unified information storage;
and detecting and removing samples which are possibly abnormal in the information samples by adopting an outlier sample detection strategy based on clustering.
Wherein, the program code of the clustered outlier sample detection strategy operation is as follows:
the visualization of its running code is shown in fig. 2.
S2: analyzing the preprocessed environmental information according to historical operation data information, and extracting characteristic factors influencing the environment in the offshore wind power converter cabinet;
it should be noted that the historical operation data information includes operating voltage, load, current and environment information data of the converter during operation under different environment information conditions.
S3: constructing a control logic model, and training the control logic model by using the characteristic factors to obtain a trained control logic model;
it should be noted that the process of constructing the control logic model includes:
using T (T)1，t2，...，tm) Representing data relating to the operation of an offshore wind power converter, S (S)1，S2，...，sn) The working state of the heating and radiating system of the offshore wind power converter, Z (Z)1，z2，...，zk) Representing the environmental characteristic factors in the offshore wind power converter cabinet, the operation related data T is expressed as S, Z and a function of time T as follows:
T＝f(S，Z，t)。
the heating and heat dissipation system of the offshore wind power converter comprises a drying agent, a heater, a dehumidifier, a temperature and humidity sensor, a PT100, a temperature protection button switch, a motor switch and a waterway heating pipeline.
Further, the constructing the control logic model according to the functional relationship includes:
the degree of fit of the control logic model is calculated using the following formula:
correlation index:
root mean square error:
wherein, TtRepresenting the actual values of the fit data,
the fit value representing the fit data is shown,
represents the mean of the fit data, n represents a constant coefficient, and t represents time.
S4: and adjusting the environment in the offshore wind power converter cabinet in real time by using the trained control logic model, so that a stable microenvironment is kept in the converter cabinet.
It should be noted that, adjusting the environment in the cabinet by using the heating and cooling system according to the correlation index and the root mean square error includes:
when not started: when the correlation index is less than 0.89 and the root-mean-square error is more than 0.13, heating and dehumidifying the inside of the cabinet by using a heater and a dehumidifier until the temperature and humidity inside the cabinet reach a preset threshold value, and powering on a controller;
after the start-up: when the correlation index is larger than 0.89 and smaller than 0.94 and the root mean square error is smaller than 0.13 and larger than 0.09, heating and dehumidifying the inside of the cabinet by using a heater and a dehumidifier until the temperature and humidity in the cabinet reach a preset threshold;
after the start-up: when the correlation index is equal to 0.89 and the root mean square error is equal to 0.13, performing forced heating for t time, wherein the t time is 6 h;
for example, the preset humidity maximum value is 85%, the minimum value is 81%, the preset temperature threshold value is 5 ℃, and when not started: when the correlation index is less than 0.89 and the root mean square error is more than 0.13, namely the humidity in the cabinet is higher than 85% or the temperature is lower than 5 ℃, a heater and a dehumidifier in the cabinet are started to heat and dehumidify, and simultaneously liquid cooling heating request signals are sent to a converter controller and a main controller, when the value reaches a preset threshold value, namely when the humidity in the cabinet is lower than 81% and the temperature is higher than 5 ℃, an UPS in the cabinet is started, and the controller is powered on;
after the controller is powered on and started, namely when the correlation index is equal to 0.89 and the root mean square error is equal to 0.13, forced heating is carried out for T time (default 6h), and the power supply of a module is started after the time is up (before the converter is powered on and debugged for the first time, the water cooling system is required to be connected and can normally run);
after the start-up: when the correlation index is larger than 0.89 and smaller than 0.94 and the root mean square error is smaller than 0.13 and larger than 0.09, heating and dehumidifying the inside of the cabinet by using a heater and a dehumidifier until the temperature and humidity in the cabinet reach a preset threshold; when the humidity in the cabinet is higher than 85% or the temperature is lower than 5 ℃, a heater and a dehumidifier in the control cabinet are used for heating and dehumidifying, and meanwhile, a liquid cooling heating request signal is sent to a main controller;
when the temperature and humidity sensor is used for detecting that the temperature of water at an inlet is lower than 40 ℃ in a standby mode, the heater and the dehumidifier in the control cabinet are started to heat and dehumidify, meanwhile, liquid cooling heating request signals are sent to the main control unit, when the temperature of water at the inlet is higher than 45 ℃, heating in the cabinet and the work of the dehumidifier are stopped, and the heating request signals are stopped;
when the temperature of the switch cabinet is higher than 40 ℃, the heating in the cabinet and the work of the dehumidifier are stopped, and the heating request signal is stopped.
Example 2
The embodiment is another embodiment of the invention, which is different from the first embodiment, and provides a verification test of an environmental regulation control logic method in an offshore wind power converter cabinet.
The traditional technical scheme is as follows: in order to verify that the method has higher operation reliability, environmental balance and lower cost compared with the traditional method, the traditional control and regulation method and the method are adopted to respectively carry out real-time measurement and comparison on the environment in the converter cabinet and the anticorrosion effect of the offshore wind power converter cabinet.
And (3) testing environment: the simulation platform simulates different environments in the converter cabinet, the automatic test equipment is started by the traditional method and the method, MATLB software programming is used for realizing simulation tests of the two methods, simulation data are obtained according to experimental results, 30 groups of data are tested by each method, and the results are shown in the following table.
Table 1: the experimental results are shown in a comparison table.
| Sample(s) | Conventional methods | The method of the invention |
| Duration/day of test | 30 | 30 |
| Degree of corrosion/%) | 7.56 | 1.23 |
| Maintenance cost/ten thousand yuan | 2.03 | 1.1 |
| Failure incidence/%) | 14 | 3.2 |
From the above table, the method of the present invention has better performance than the conventional method.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (5)
1. A logic method for controlling environmental regulation in an offshore wind power converter cabinet is characterized by comprising the following steps:
collecting environmental information in an offshore wind power converter cabinet and preprocessing the environmental information;
the pre-processing of the context information includes,
cleaning vacancy values, format contents, logic errors and non-demand information;
performing feature construction, information classification and information quantization on the environment information;
carrying out information statistics on the information after information transformation, and merging the information into a unified information storage;
detecting and removing samples which are possibly abnormal in the information samples by adopting an outlier sample detection strategy based on clustering;
analyzing the preprocessed environmental information according to historical operation data information, and extracting characteristic factors influencing the environment in the offshore wind power converter cabinet;
constructing a control logic model, and training the control logic model by using the characteristic factors to obtain a trained control logic model;
using T (T)1，t2，...，tm) Representing data relating to the operation of an offshore wind power converter, S (S)1,s2，...，sn) The working state of the heating and radiating system of the offshore wind power converter, Z (Z)1，z2，...，zk) Representing the environmental characteristic factors in the offshore wind power converter cabinet, the operation related data T is expressed as S, Z and a function of time T as follows:
T＝f(S，Z，t)
constructing the control logic model based on the functional relationship includes,
the degree of fit of the control logic model is calculated using the following formula:
correlation index:
root mean square error:
wherein, TtRepresenting the actual values of the fit data,
the fit value representing the fit data is shown,
represents the mean of the fit data, n represents a constant coefficient, and t represents time;
and adjusting the environment in the offshore wind power converter cabinet in real time by using the trained control logic model, so that a stable microenvironment is kept in the converter cabinet.
2. The method for controlling the environmental regulation in an offshore wind power converter cabinet according to claim 1, characterized in that: the environmental information in the offshore wind power converter cabinet comprises temperature, stress, space occupied by fluid motion and humidity.
3. The method for controlling the environmental regulation in the offshore wind power converter cabinet according to claim 1, wherein: the historical operation data information comprises working voltage, load, current and environment information data of the converter during operation under different environment information conditions.
4. The method for controlling the environmental regulation in an offshore wind power converter cabinet according to claim 3, characterized in that: the heating and heat dissipation system of the offshore wind power converter comprises a drying agent, a heater, a dehumidifier, a temperature and humidity sensor, a PT100, a temperature protection button switch, a motor switch and a waterway heating pipeline.
5. The method for controlling the environmental regulation in an offshore wind power converter cabinet according to claim 4, wherein: adjusting the environment within the cabinet with the heat dissipation system according to the correlation index and the root mean square error comprises,
when not started: when the correlation index is less than 0.89 and the root mean square error is more than 0.13, heating and dehumidifying the inside of the cabinet by using a heater and a dehumidifier until the temperature and humidity inside the cabinet reach a preset threshold value, and powering on a controller;
after the start-up: when the correlation index is larger than 0.89 and smaller than 0.94 and the root-mean-square error is smaller than 0.13 and larger than 0.09, heating and dehumidifying the inside of the cabinet by using a heater and a dehumidifier until the temperature and humidity inside the cabinet reach a preset threshold;
after the start-up: when the correlation index is equal to 0.89 and the root mean square error is equal to 0.13, performing forced heating for t time, wherein the t time is 6 h.
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