KR20120100268A - System, apparatus and method for power quality analyzer in wind turbine - Google Patents

Abstract

PURPOSE: A power quality analyzing system for a wind power generation is provided to offer an accurate preparation plan for power quality degradation by inquiring accurate reason of a power quality degradation phenomenon. CONSTITUTION: A power quality monitoring device(200) acquires power quality information by measuring power quality of an output terminal of a wind generator(100). The power quality monitoring apparatus recognizes the generation of an event according to power quality change. A state diagnosing monitoring device(400) measures sensing information of components of the wind generator through sensor installed in the wind generator. A power quality analyzing device(300) searches a data pattern corresponding to the event from set pattern database and acquires sensing information which is matched to a time value of the event from the state diagnosing monitoring device. The power quality analyzing device analyzes a reason of the event based on the sensing information and the data pattern. [Reference numerals] (100) Wind generator; (200) Power quality monitoring device; (210) Communications module; (311) Pattern analyzer; (312) Pattern database; (313) Network adaptor; (320) Security network module; (330) Web application; (400) State diagnosing monitoring device; (410) State measuring database

Description

System, Apparatus and Method for Power Quality Analyzer in Wind Turbine

The present invention relates to a technique for monitoring wind power generation, and more particularly, to a power quality analysis system, apparatus, and method for wind power generation.

Wind power is a technology that obtains electric power by converting mechanical kinetic energy generated by a rotor-shaped rotor rotated by aerodynamics into electrical energy through a generator. Wind power generators are classified into horizontal and vertical types according to the direction of the rotation axis with respect to the ground. The components of the wind generator are a rotor composed of a blade and a hub, and a gearbox that drives the generator by increasing the rotation. (Gear box), a generator (generator) that produces electricity.

Meanwhile, PQA (Power Quality Analyzer) and CMS (Condition Monitoring System) are representative devices for monitoring wind power generators.

PQA is a device that is installed at the junction of the wind turbine and the grid and measures and analyzes the power quality status of the wind turbine. CMS installs sensors in blades, gearboxes, generators and bearings that are components of wind power generators to measure vibrations under operating conditions, and analyzes real-time measurement data to predict defects and remaining life of each component.

The PQA installed in the conventional wind turbine is simply used to collect and analyze data on power quality status, and the CMS is used to monitor vibration measurement results of each component of the wind turbine. However, since various factors such as environmental factors and mechanical defects affect the power quality of the wind turbine, there is a problem that it is difficult to determine the exact cause when the power quality degradation occurs even through PQA or CMS.

The present invention has been proposed to solve the problems of the prior art as described above, the purpose of which is to classify / analyze the mechanical factors for the power quality degradation phenomenon as a trend and statistical data, based on the power quality change The present invention provides a wind power generation power quality analysis system, apparatus, and method that can pinpoint the cause of the problem and suggest corrective measures and solutions for power quality degradation.

The technical problem to be achieved by the present invention is not limited to the technical problems mentioned above, and other technical problems not mentioned above will be clearly understood by those skilled in the art from the following description. Could be.

The power quality analysis system for wind power generation according to the present invention includes a power quality monitoring device for measuring power quality of a wind turbine output stage to obtain power quality information and recognizing occurrence of an event according to power quality change; A state diagnosis monitoring device for measuring sensing information of the component parts of the wind generator through sensors installed in the wind generator; And when an event occurs in the power quality monitoring apparatus, retrieves a data pattern corresponding to the event from a previously registered pattern database, and acquires sensing information corresponding to a time value of the event from the state diagnosis monitoring apparatus. The cause of the event is analyzed based on the retrieved data pattern and the acquired sensing information.

Power quality analysis device for wind power generation according to the present invention comprises a pattern database for storing data patterns; A network adapter receiving power quality information measured at an output end of the wind turbine and sensing information of the component parts provided through the sensors installed in the wind turbine through network communication; And searching for a data pattern corresponding to the event from the pattern database, acquiring sensing information corresponding to a time value of the event through the network adapter, and generating the acquired sensing information. Comprising a pattern analyzer for generating analysis information for analyzing the cause of the event while comparing with the retrieved data pattern.

In accordance with an aspect of the present invention, there is provided a method for analyzing power quality for wind power generation, the method comprising: receiving event information and power quality information including a time value through a network communication as an event occurs due to a change in power quality at an output terminal of the wind turbine; Acquiring, by the device, sensing information corresponding to a time value of the event from a state measurement database periodically storing sensing information of the component parts constituting the wind turbine through network communication; Retrieving the data pattern corresponding to the event from the pattern database storing the data patterns, and comparing the acquired sensing information with the retrieved data pattern to generate analysis information for analyzing the cause of the event. do.

According to the power quality analysis system, apparatus and method for wind power generation of the present invention, the mechanical factors for the power quality degradation phenomenon are classified / analyzed and used as a trend and statistical data, and based on this, the exact cause of the power quality change The identification can suggest precise countermeasures and solutions for power quality degradation.

In addition, according to the power quality analysis system, apparatus, and method for generating wind power of the present invention, when a serious defect occurs due to a decrease in power quality, it is possible to improve the grid connection efficiency of the wind power generator through real-time pattern analysis.

1 is a block diagram of a system including a power quality analysis device for wind power generation according to an embodiment of the present invention.
2 is a flowchart of a method for analyzing power quality for wind power generation according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings will be described in detail for the power quality analysis system, apparatus and method for generating wind power in accordance with a preferred embodiment of the present invention.

1 is a block diagram of a system including a power quality analysis device for wind power generation according to an embodiment of the present invention.

Wind turbine 100 is a device for generating power using wind energy, such as blade (Blade), bearing (Bearing), gear box (Gear box), Yaw (Generator), etc. It consists of element parts.

The power quality monitoring apparatus 200 obtains power quality information (voltage, current, power, frequency data, etc.) by measuring power quality at the output terminal of the wind power generator 100, and generates an event (instantaneous voltage drop, It recognizes the occurrence of instantaneous voltage rise, momentary power failure, harmonics, etc. and transmits the event information and power quality information including the time value to the network adapter 313 of the power quality analysis device 300 through the communication module 210. .

The condition diagnosis monitoring apparatus 400 is a wind turbine generator 100 through sensors installed in the components of the wind turbine 100, for example, a bearing, a gear box, a yaw, a generator, and the like. The sensing information of the component parts constituting the (), that is, vibration or rotational speed (RPM) is measured and periodically stored in the state measurement database 410, the state measurement database 410 at the request of the power quality analysis device 300 Acquires the sensing information of a specific time zone and outputs it to the network adapter 313.

When an event occurs in the power quality monitoring apparatus 200, the power quality analysis apparatus 300 searches for a data pattern corresponding to the event generated from the pattern database 312 storing the data patterns, and monitors the state diagnosis monitoring apparatus ( 400, sensing information corresponding to the time value of the event is obtained.

In addition, the power quality analysis apparatus 300 analyzes the cause of the event based on the data pattern retrieved from the pattern database 312 and the sensing information acquired through network communication from the state measurement database 410. In this case, the power quality analysis apparatus 300 searches for and compares / analyzes the current event with the data pattern of the past power quality event through the data patterns stored in the pattern database 312.

The power quality analysis apparatus 300 described above includes a classification controller 310, a security network module 320, and a web application 330.

The classification controller 310 first receives event information and power quality information input from the power quality monitoring apparatus 200 through Modbus communication (TCP / IP) through the communication module 210 and the network adapter 313. When an event occurs or periodically, sensing information (vibration or rotational speed) of the component parts in the state measurement database 410 of the state diagnosis monitoring device 400 is provided. In addition, the classification controller 310 finds the sensing information corresponding to the time value of the event through the pattern analyzer 311 analyzing the correlation between the event and the sensing information, and stores the sensing information in the pattern database 312 in a pattern form. Notify the analysis information to analyze the cause of the current power quality degradation phenomenon based on the sensing information of the vibration or the RPM (RPM) occurring in each part of the wind turbine 100 to the action.

The aforementioned classification controller 310 includes a pattern analyzer 311, a pattern database 312, and a network adapter 313.

The pattern analyzer 311 compares the sensing information measured in the component parts of the wind power generator 100, that is, the vibration or the rotational speed (RPM) with the power quality information measured by the power quality monitoring apparatus 200. Follow the process of analyzing the cause.

In detail, when an event according to a change in power quality occurs, the pattern analyzer 311 searches for a data pattern corresponding to an event generated from the pattern database 312, and applies the time pattern of the event through the network adapter 313. Acquiring the correct sensing information, and comparing the acquired sensing information with the retrieved data pattern, and generates the analysis information for analyzing the cause of the event.

The method of performing event cause analysis using data patterns will be described in more detail as follows.

When an event situation occurs in the power quality monitoring apparatus 200, the pattern analyzer 311 analyzes the event information and compares it with the form of the data pattern stored in the pattern database 312. The pattern analyzer 311 uses the event information to grasp the event duration and event type of the current event, compares the sensing information of the status diagnosis monitoring device 400, and stores the current event in advance. It continuously checks whether or not it occurred with the same data pattern. If it is different from the registered data pattern, the current event is registered as a new pattern.

The reason for comparing the current event with the data of past events is that due to the nature of the wind turbine, the sensing information (eg, vibration type) may differ depending on environmental factors such as wind speed, but mechanical defects (eg, bearing damage, This is because power quality events may occur due to failure of rated output due to gearbox damage, etc.). By dividing this into fine sensing information (vibration or rotational speed), it is possible to analyze the cause of whether a power quality event is a mechanical defect or an environmental factor, and to measure a fundamental cause of power quality change.

The pattern database 312 stores a correlation between power quality and sensing information as data patterns in a pattern form. Each data pattern stored in the pattern database 312 is a state diagnosis monitoring device for sensing the operation of the power quality monitoring device 200 for measuring the power quality of the wind power generator 100 and the component parts constituting the wind power generator 100 ( Information transmitted from both sides of the 400 is matched according to an event time value. The data pattern may be formed by packaging event information, power quality information, and sensing information including a time value in a pattern form.

If a data pattern corresponding to an event is not retrieved from the pattern database 312, the pattern analyzer 311 adds a pattern classification to the pattern database 312, event information including a time value, and power corresponding to the time value of the event. A data pattern in which quality information and sensing information are packaged in a pattern form may be newly generated and updated in the pattern database 312.

A method of registering a data pattern in the pattern database 312 is described in more detail as follows.

When an event (instantaneous voltage drop, instantaneous voltage increase, instantaneous power failure, etc.) occurs in the power quality monitoring device 200, the power quality analysis device 310 is connected to the power quality monitoring device 200 through a network adapter 313. Information corresponding to the event time value is collected from the diagnostic monitoring apparatus 400, and the collected information is patterned by dividing the time before and after the event. In the case of the status diagnosis monitoring device 400, sensing information (vibration or rotational speed) of each sensor is brought, and in the case of the power quality monitoring device 200, voltage, current, power, power factor, reactive and active power, frequency data, etc. are brought. do. Since the time for measuring the information collected by the power quality monitoring device 200 and the state diagnosis monitoring device 400 is different from each other, the power quality analysis device 310 matches the time value of the collected information with the time value + power quality. Information in the form of 'information + sensing information' to generate a data pattern and store it in the pattern database 312.

If the data pattern of the event is already registered, the power quality analysis apparatus 310 delivers the analysis information to the user through the communication with security added with the contents of the data pattern.

The network adapter 313 performs network communication with the power quality monitoring apparatus 200 and the state diagnosis monitoring apparatus 400. In particular, the network adapter 313 receives and classifies event information and power quality information measured at the output terminal of the wind turbine 100 and sensing information of the component parts provided through the sensors installed in the wind turbine 100 through network communication. Transfer to controller 310.

The secure network module 320 encrypts the analysis information provided by the pattern analyzer 311 using a SSL module and transmits the analyzed information to a web application.

The web application 330 provides analysis information transmitted from the classification controller 310 through the security network module 320 to the screen so that the user can monitor it.

As such, the power quality analysis apparatus 300 according to an embodiment analyzes sensing information of vibration or rotational speed (RPM) measured through sensors installed in the wind power generator 100 to measure the power measured at the occurrence of a power quality event. Identify the exact cause of quality degradation. To this end, the power quality analysis apparatus 300 stores and utilizes a correlation between power quality and sensing information (vibration or rotational speed) in a pattern form, and analyzes the phenomenon of power quality degradation caused by external factors by using the sensing information. Identify the exact cause of power quality changes. An operation process of the power quality analysis device 300 is more specifically illustrated in FIG. 2.

2 is a flowchart of a method for analyzing power quality for wind power generation according to an embodiment of the present invention.

The power quality monitoring apparatus 200 acquires and stores power quality information such as voltage and current data at the output terminal of the wind power generator 100, patterning and storing the power quality information at step S110, and by changing the power quality at the output terminal of the wind power generator 100. When an event (instantaneous voltage drop, instantaneous voltage rise, momentary power failure, harmonics, etc.) occurs (S130), the event information is transmitted to notify the occurrence of a power quality event (S140, S150). At this time, the event information and power quality information corresponding to the time value of the event are transmitted together to the network adapter 313 of the power quality analysis device 310. When an event occurs, the power quality analysis apparatus 310 receives event information and power quality information including a time value through network communication (S150).

On the other hand, the state diagnosis monitoring device 400 is sensing information, that is, vibration or rotational speed of the component parts constituting the wind power generator 100, such as bearing (bearing), gear box (Year), Yaw (Generator), etc. Information on the RPM is obtained and stored in the time measurement database 410 for each time zone (S120).

The power quality analysis device 310 recognizing the occurrence of the event through the power quality monitoring device 200 is a state diagnosis monitoring device 400 for periodically storing the sensing information of the component parts constituting the wind power generator 100 through a network communication In step S160, sensing information corresponding to the time value of the corresponding event is acquired from the state measurement database 410 of FIG.

Thereafter, the power quality analysis apparatus 310 searches for a data pattern corresponding to the current event from the pattern database 312 storing the data patterns (S170), and compares the sensing information acquired through the S160 with the retrieved data pattern. Generate and report analysis information for analyzing the cause of the event (S180, S200).

As such, when the power quality monitoring apparatus 200 notifies the occurrence of an event during the operation of the wind power generator 100, the received power quality analysis apparatus 300 receives the event through data patterns stored in the pattern database 312. And compare / analyze data patterns with past power quality events.

If the data pattern of the currently occurring event is a new pattern not registered in the pattern database 312 (S180), the power quality analysis apparatus 310 adds and stores the pattern classification in the pattern database 312 (S190). That is, when a data pattern corresponding to the current event is not retrieved from the pattern database 312, the power quality analysis apparatus 310 adds a pattern classification to the pattern database 312, and includes event information and time of the event. A new data pattern packaged with power quality information and sensing information according to a value in a pattern form is newly generated and updated in the pattern database 312.

As described above, the power quality analysis apparatus 300 retrieves a data pattern corresponding to an event generated when an event occurs from the pattern database 312, and the power quality and sensing information (vibration or rotational speed) defined in the retrieved data pattern. The cause of the event can be analyzed based on the correlation of. In addition, when a pattern corresponding to an event is not registered in the pattern database 312, the power quality analysis apparatus 300 may pattern the power quality information at the time of occurrence of an event and the sensing information of a corresponding time period to pattern the pattern database 312. You can save additional data patterns.

The power quality analysis system, apparatus, and method for generating wind power of the present invention may be variously modified and implemented within the scope of the technical idea of the present invention, without being limited to the above-described embodiments.

100: wind power generator 200: power quality monitoring device
300: power quality analysis device 310: classification controller
311: Pattern Analyzer 312: Pattern Database
313: network adapter 320: secure network module
330: web application 400: status diagnostic monitoring device

Claims (6)

A power quality monitoring device for acquiring power quality information by measuring power quality of the output stage of the wind turbine and recognizing occurrence of an event according to power quality change;
A state diagnosis monitoring device for measuring sensing information of the component parts of the wind generator through sensors installed in the wind generator; And
When an event occurs in the power quality monitoring apparatus, the data pattern corresponding to the event is searched from a previously registered pattern database, and the sensing information corresponding to the time value of the event is obtained from the state diagnosis monitoring apparatus. A power quality analysis system for wind power generation comprising a power quality analysis device for analyzing the cause of the event based on the data pattern and the acquired sensing information.
A pattern database for storing data patterns;
A network adapter receiving power quality information measured at an output end of the wind turbine and sensing information of the component parts provided through the sensors installed in the wind turbine through network communication; And
When an event according to a change in power quality occurs, the data pattern corresponding to the event is retrieved from the pattern database, and the sensing information corresponding to the time value of the event is acquired through the network adapter to obtain the acquired sensing information. Power quality analysis device for wind power generation including a pattern analyzer for generating analysis information for analyzing the cause of the event while comparing with the retrieved data pattern.
The method of claim 2, wherein the data pattern of the pattern database,
By matching the information transmitted from both sides of the power quality monitoring device for measuring the power quality of the wind power generator and the state diagnostic monitoring device for sensing the operation of the component parts constituting the wind power generator according to the time value of the event, Power quality analysis device for wind power generation, characterized in that formed by packaging the event information, power quality information and sensing information in a pattern form.
The method of claim 2, wherein the pattern analyzer,
If a data pattern corresponding to the event is not found from the pattern database, a pattern classification is added to the pattern database, and event information including a time value, power quality information corresponding to the time value of the event, and sensing information are patterned. Power quality device for wind power generation, characterized in that for generating and updating a new packaged data pattern.
Receiving an event information and a power quality information including a time value through a network communication as an event occurs due to a change in power quality at an output of the wind turbine;
Acquiring, by the device, sensing information corresponding to a time value of the event from a state measurement database periodically storing sensing information of the component parts constituting the wind turbine through network communication;
Retrieving the data pattern corresponding to the event from the pattern database storing the data patterns, and comparing the acquired sensing information with the retrieved data pattern to generate analysis information for analyzing the cause of the event. Power quality analysis method for wind power generation.
The method of claim 5,
If a data pattern corresponding to the event is not found from the pattern database, the device adds a pattern classification to the pattern database, and patterns event information including a time value, power quality information and sensing information corresponding to the time value of the event. The method of claim 1 further comprising generating and updating a new data pattern packaged in the form of wind power.

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