KR20110112680A - Power quality monitoring system for wind power plant - Google Patents

Abstract

The present invention relates to a system for measuring, analyzing and monitoring the quality of power generated in a wind power generation system.
According to the present invention, a monitoring system for measuring and analyzing the power quality of the wind turbine, comprising: power measuring means for measuring the voltage and current generated by the wind turbine; Pitch error determination means for determining a pitch error state through wind speed measured by an anemometer installed in the wind turbine and a pitch angle of a blade; Yaw error determination means for determining a yaw error state through the wind direction measured by the wind vane installed in the wind turbine and the yaw angle of the nussel; And power quality analysis means for comprehensively analyzing the quality of the total power generated by the wind power generator by receiving data measured and determined from the power measuring means, the pitch error determining means, and the yaw error determining means. A quality monitoring system is disclosed.

Description

Power quality monitoring system for wind power plant

The present invention relates to a wind power generation system, and more particularly, to a system for measuring, analyzing and monitoring the quality of power generated in a wind power generation system.

With the recent energy crisis and rising prices of fossil fuels, interest in alternative energy is increasing, and interest in wind energy that can be obtained by natural wind is increasing. Accordingly, wind power generation is expected to replace existing energy and continues to grow rapidly. Since 2005, new generation capacity has been growing at an average annual rate of 36%.

In order to produce such wind energy more efficiently, it is divided into large-scale wind power generation and small and medium-sized or home wind power generation, and is partially researching and developing and promoting commercialization. Such wind power generation uses no-pollution and indefinite winds scattered everywhere, so it has little impact on the environment and can efficiently use the land, and in the case of large-scale power generation, the power generation unit also competes with existing power generation methods. This is a possible level of new energy generation technology.

Conventional wind power generation has improved wind turbine components such as blades, generators, and power converters to produce optimal energy at low winds, and also develops algorithms for system operation to obtain optimal power. .

Nucleus, the core of wind power generation, is generally used for medium and large wind power generation. It is a connection of blades and towers, and has a generator, a power converter, a gear, and a yawing system. Its main function is to turn the wind clockwise or counterclockwise so that the wind is at right angles to the rotating surface of the blade so that the wind power generator can obtain the optimum output. The brake is operated to protect the wind generator above the blocking wind speed. .

Power generated through the wind power is to measure and monitor the quality, the configuration of a system for measuring and monitoring the quality of the power produced in the conventional wind power is shown in FIG.

Referring to FIG. 1, the conventional wind power generation power quality monitoring system measures and analyzes the power produced through the nussel 10 installed on the tower 20, manages it through the server 30, and the user terminal 40. ) Is a monitoring system.

The nussel 10 is provided with a blade 11, a gearbox 12, a generator 13, a converter 14, and the like, and converts wind power into rotational energy through the blade 11, and converts the rotational energy into a generator Through (13), a mechanical action of converting into electrical energy is achieved. At this time, the power produced by the generator 13 is stepped up to meet the grid-side voltage through the converter 14, conventionally measures the power quality by measuring the voltage and current of the power converted through the converter and Analysis and monitoring were performed.

The conventional power quality monitoring system as described above analyzed the power quality by analyzing only the voltage and current output from the generator. However, due to the characteristics of a wind generator, a rapid environmental change may occur in a short time due to the influence of gusts, vibrations, and rapidly changing wind directions. Nevertheless, the conventional power quality monitoring system has a problem in that the lack of configuration to prepare for or consider such a rapid environmental change.

That is, since the power quality is measured and analyzed only by the output voltage and current, it can be seen that there is a problem in the power quality of the entire output voltage and current when such a sudden environmental change occurs. There is a problem that is not made.

For example, rapid wind changes, wind speeds, and changes in the external environment can cause the pitch system of the blades and the yaw system of the nussel to malfunction. These pitch error and yaw error conditions can affect the output voltage and current. And as a matter of overall power quality. Therefore, in the conventional power quality monitoring system as described above, the power quality is measured and analyzed without considering the factors caused by the rapidly changing external environment as described above, and there is a problem in that the accurate power quality cannot be monitored.

Accordingly, the present invention has been made to solve the above problems, the power quality is measured and reflected by reflecting all the variables according to the rapidly changing external environment other than the voltage and current produced by the generator during power quality monitoring for wind power generation The purpose is to provide a wind power generation power quality monitoring system that can be analyzed.

Other objects and advantages of the invention will be described below and will be appreciated by the embodiments of the invention. Further, objects and advantages of the present invention can be realized by the means and the combination shown in the appended claims.

In order to achieve the above object, the power quality monitoring system for wind power generation according to the present invention is a monitoring system for measuring and analyzing the power quality of the wind turbine, the power measuring means for measuring the voltage and current generated in the wind turbine ; Pitch error determination means for determining a pitch error state through wind speed measured by an anemometer installed in the wind turbine and a pitch angle of a blade; Yaw error determination means for determining a yaw error state through the wind direction measured by the wind vane installed in the wind turbine and the yaw angle of the nussel; And a power quality analyzing means for comprehensively analyzing the quality of the total power generated by the wind turbine by receiving data measured and determined by the power measuring means, the pitch error determining means, and the yaw error determining means.

In addition, the switch data input means for inputting the signal data according to the operation of the switch between the wind turbine and the grid to the power quality analysis means; preferably further comprises a.

In addition, the vibration measuring means for measuring the vibration according to the rotation and the amount of power generation of the wind turbine and input the data measured by the power quality analysis means; preferably further comprises a.

Preferably, the monitoring server for storing and managing the data measured and analyzed by the power quality analysis means and providing information to the user terminal device through a network;

In particular, the power measuring means, it is preferable that the voltmeter for measuring the voltage generated by the wind turbine, and an ammeter for measuring the current generated by the wind turbine.

Further, the pitch error determining means generates a pitch angle according to the wind speed currently measured by referring to a reference pitch angle according to a preset wind speed, and determines whether or not a pitch error is compared with the pitch angle of the blade currently measured. desirable.

In addition, the yaw error determination means may generate a yaw angle according to the currently measured wind direction by referring to a reference yaw angle according to a preset wind direction, and determine whether or not a yaw error is compared with the yaw angle of the currently measured nussel. desirable.

According to the present invention, by adding the pitch error and yaw error information according to the wind speed and wind direction to the wind power generation power quality monitoring system, including the vibration and grid switch on, off information to measure and analyze the overall power quality, It provides the effect of performing accurate power quality monitoring considering the external environment variables.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate preferred embodiments of the invention and, together with the description of the invention below, And should not be construed as limiting.
1 is a view showing the configuration of a power quality monitoring system used in the conventional wind power generation.
2 is a view showing the configuration of a wind power generation power quality monitoring system according to an embodiment of the present invention.
3 is a view showing a process performed in the power quality monitoring system for wind power generation according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the specification and claims should not be construed as having a conventional or dictionary meaning, and the inventors should properly explain the concept of terms in order to best explain their own invention. Based on the principle that can be defined, it should be interpreted as meaning and concept corresponding to the technical idea of the present invention. Therefore, the embodiments described in this specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and do not represent all the technical ideas of the present invention. Therefore, It is to be understood that equivalents and modifications are possible.

2 is a view showing the configuration of a wind power generation power quality monitoring system according to an embodiment of the present invention.

2, the power quality monitoring system 100 for wind power generation according to the present invention includes a power measurement module 110, a pitch error determination module 120, a yaw error determination module 130, and a switch data input module ( 140, a vibration measurement module 150, a power quality analysis module 160, and a monitoring server 170.

The power measurement module 110 is a module for measuring the power generated by the wind power generation in the nussel of the wind turbine. The power measuring module 110 is divided into a voltage measuring unit and a current measuring unit. The voltage measuring unit includes a voltage measuring sensor device 111, a voltage filter 112, and a voltage A / D converter 113. The current measuring sensor device 115, the current filter 116, the current A / D converter 117 and the like.

The voltage measuring sensor device 111 and the current measuring sensor device 115 are installed at a secondary terminal of a transformer in a nussel of a wind turbine to measure voltage and current. In other words, the wind power is converted into rotational energy through the wind turbine, and the generator generates electricity by converting it into electrical energy in a generator (Generater) inside the nussel. In this way, the electrical energy generated by the generator is inputted from the primary side of the converter and converted, and then the voltage and current are measured at the secondary terminal. In addition, the voltage measuring sensor device 111 may use PT (Potential Transformer), for example. In addition, the current measuring sensor device 115 may be a CT (Current Transformer), for example, it is divided into a clamp type and a shunt resistance type.

The voltage filter 112 and the current filter 116 remove unnecessary DC values and noise among data values measured by the voltage measuring sensor device 111 and the current measuring sensor device 115.

The voltage A / D converter 113 and the current A / D converter 117 are measured by the voltage measuring sensor device 111 and the current measuring sensor device 115 to measure the voltage filter 112 and the current filter. It converts the analog data measurement value passed through 116 into digital value for interpretation and use in DSP and FPGA.

The pitch error determination module 120 is a module for determining whether the pitch error state through the wind speed measured by the wind turbine and the pitch angle of the blade. The pitch error determination module 120 applies the additional error determination information to the analysis and monitoring in addition to using only the existing voltage and current measurement values when measuring, analyzing and monitoring the power quality of the wind power generator. This configuration is for performing quality analysis and monitoring.

The pitch error determination module 120 includes an anemometer 121, a pitch angle measuring instrument 122, a wind speed A / D converter 123, a pitch angle A / D converter 124, a pitch data analyzer 125, and a pitch error detector. 126 and the like. The anemometer 121 is a sensor device installed on the nussel of the wind power generator to measure the intensity of the wind. The pitch angle measurer 122 serves to measure the blade pitch angle of the wind turbine. The pitch angle of the blade is the data of the blade pitch angle that moves for protection of the wind turbine through the control of the pitch angle to maintain the optimal power generation state according to the wind speed of the wind turbine and the limited wind speed. The wind speed A / D converter 123 and the pitch angle A / D converter 124 may analyze and use analog data values measured by the anemometer 121 and the pitch angle meter 122 in the DSP and the FPGA. It converts to digital values.

The pitch data analyzer 125 calculates a reference pitch angle according to the currently measured wind speed by referring to a reference blade pitch angle according to a preset wind speed, and analyzes an error range by comparing the measured pitch angle of the current blade. Do this. That is, a process of comparing and analyzing how much an error has occurred in the reference pitch angle at the current wind speed through the set reference pitch angle, the currently measured wind speed, and the pitch angle is performed.

The pitch error detector 126 detects whether the current pitch angle is in an error state through an error range between the reference pitch angle analyzed by the pitch data analyzer 125 and the current pitch angle. That is, it is determined whether the error range of the current pitch angle is within the marginal error range with reference to the preset marginal error range, and when it is out of the marginal error range, it is determined to be in a pitch error state and a pitch error signal is generated. This is a means for informing the power quality analysis module 160 when the pitch angle is not normally controlled, such as when the pitch angle of the blade is not properly controlled at a rapidly changing wind speed or when an error occurs in the pitch angle control system.

The yaw error determination module 130 is a module for determining the yaw error state through the wind direction measured by the wind turbine and the yaw angle of the nussel. The yaw error determination module 130 applies additional error determination information to analysis and monitoring in addition to using only existing voltage and current measurement values in power quality measurement, analysis, and monitoring of the wind power generator. This configuration is for performing quality analysis and monitoring.

The yaw error determination module 130 includes a wind vane 131, a yaw angle measuring instrument 132, a wind direction A / D converter 133, a yaw angle A / D converter 134, a yaw data analyzer 135, and a yaw error detector. 136 and the like. The wind vane 131 is a sensor device installed on the nussel of the wind turbine to measure the direction of the wind. The yaw angle measuring instrument 132 measures the yaw angle of the nussel of the wind turbine. The yaw angle of the nussel is the yaw angle data of the nussel rotating for the protection of the wind power generator through the yaw angle control when maintaining the optimal power generation state according to the wind direction of the wind generator. The wind direction A / D converter 133 and the yaw angle A / D converter 134 may interpret and use analog data values measured by the wind vane 131 and the yaw angle measurer 132 in the DSP and the FPGA. It converts to digital values.

The yaw data analyzer 135 calculates a reference yaw angle according to the currently measured wind direction by referring to the yaw angle of the reference nussel according to a preset wind direction, and compares the yaw angle of the measured current nussel to analyze an error range. Play a role. That is, a process of comparing and analyzing how much an error has occurred in the reference yaw angle measured in the current wind direction through the set reference yaw angle, the currently measured wind direction and the yaw angle is performed.

The yaw error detector 136 serves to detect whether the current yaw angle is in an error state through an error range between the reference yaw angle analyzed by the yaw data analyzer 135 and the current yaw angle. That is, it is determined whether the error range of the current yaw angle is within the marginal error range by referring to the preset marginal error range, and when it is out of the marginal error range, it is determined that the yaw error state is generated and a yaw error signal is generated. This is a means for informing the power quality analysis module 160 when the yaw angle is not normally controlled, such as when the yaw angle of the nussel is not properly controlled in the rapidly changing wind direction or when an error occurs in the yaw angle control system.

The switch data input module 140 is a module for inputting the switch data in the wind turbine and the system associated with it to the power quality analysis module 160 which will be described later. The switch data is data indicating an on / off state of a switch in charge of linkage between wind power generation and the grid. The pitch error determination module 120 is further integrated by applying additional grid-linked switch data information to analysis and monitoring, in addition to using only existing voltage and current measurement values in power quality measurement, analysis, and monitoring of a wind turbine. This configuration is for performing accurate and accurate power quality analysis and monitoring. The switch data input module 140 includes a switch data A / D converter 141. The switch data A / D converter 141 converts the switch data value input from the switch data input module 140 into a digital value so that the DSP and the FPGA can interpret and use the switch data value.

The vibration measuring module 150 is a module for measuring the vibration generated during generation in the wind power generator and its own vibration according to the wind speed and rotation through the sensor device and transmitting the vibration to the power quality analysis module 160 which will be described later. The measured vibration data values are applied to power quality analysis and monitoring for more comprehensive and accurate power quality analysis and monitoring. The vibration measuring module 150 includes a vibration data A / D converter 151. The vibration data A / D converter 151 converts the vibration data values measured by the vibration measurement module 150 into digital values for interpretation and use in DSPs and FPGAs.

The power quality analysis module 160 serves to comprehensively measure and analyze the quality of power produced by the wind turbine. The power quality analysis module 160 through the power measurement module 110, pitch error determination module 120, yaw error determination module 130, switch data input module 140, vibration measurement module 150, etc. The measured values and error information are input and used for comprehensive power quality analysis. That is, the power quality analysis module 160 compares data that may affect various power qualities, such as vibration, switch data, pitch error, and yaw error, according to the operation of wind power, with actual measured voltage and current values. Conduct a comprehensive analysis.

Therefore, the overall power quality can be measured and analyzed by comprehensively considering various factors related to the rapidly changing external environment and wind power generation, and more accurate and comprehensive power quality analysis can be performed.

The monitoring server 170 stores and manages power quality data measured and analyzed by the power quality analysis module 160 and provides information to a user or operator terminal device through a network so that the user or operator can monitor power quality. It plays a role to make it possible.

3 is a view showing a process performed in the power quality monitoring system for wind power generation according to an embodiment of the present invention.

As shown in FIG. 3, in the process performed in the power quality monitoring system for wind power generation according to the present invention, first, a process of measuring voltage and current produced through a voltmeter and an ammeter installed in a wind turbine is performed. S12)

Since the measured voltage and current values are analog data, a procedure of converting them into digital signals through an A / D converter is performed.

Next, the voltage and current data converted into digital signals are input to the power quality analysis module and used for power quality measurement and analysis.

In addition, a process of generating a reference pitch angle of the blade is performed through wind speed data measured by an anemometer installed in the wind turbine. In this case, the reference pitch angle according to the currently measured wind speed is generated with reference to the reference pitch angle according to various preset wind speeds.

The reference pitch angle generated in this way and the pitch angle of the blade currently measured are input to the process of comparing and analyzing the two values. At this time, a process of calculating an error range is performed by comparing the reference pitch angle generated according to the current wind speed with the currently measured pitch angle (S22, S23).

Next, a procedure of determining whether the pitch of the current blade is in an error state is performed based on the error range value of the pitch angle calculated through data analysis. At this time, it is determined whether the calculated error range is within a preset limit error range or outside the limit error range. In this determination, when included in the limit error range, it is determined to be a normal state rather than a pitch error state, and when it is out of the limit error range, it is determined to be a pitch error state (S24).

If it is determined that it is not in the pitch error state, the process continues to analyze the pitch data, and if it is determined that it is in the pitch error state, it generates a pitch error signal and transmits it to the power quality analysis module. S25, S26)

Along with this procedure, the wind direction data measured by the wind vane installed in the wind turbine is used to generate the reference yaw angle of the nussel. In this case, the reference yaw angle according to the currently measured wind direction is generated with reference to the reference yaw angle according to various wind directions set in advance (S31).

The reference yaw angle generated in this way and the yaw angle of the currently measured nussel are received and the two values are compared and analyzed. In this case, a process of calculating an error range is performed by comparing the reference yaw angle generated according to the current wind direction with the yaw angle of the currently measured nussel. (S32, S33)

Next, a procedure of determining whether or not the current error state of the nussel is based on the error range value of the yaw angle calculated through data analysis. At this time, it is determined whether the calculated error range is within a preset limit error range or outside the limit error range. In this determination, when included in the marginal error range, it is determined that the state is not a yaw error state, but a normal state.

If it is determined that it is not in the state of urine error, the process of analyzing urine data continues, and if it is determined that it is in the state of yo error, the process of generating a yaw error signal and delivering it to the power quality analysis module. S35, S36)

At the same time, a procedure of calculating the vibration measurement value through the vibration measuring device installed in the wind power generator and transmitting it to the power quality analysis module is performed.

In addition, the procedure for receiving the signal data according to the operation of the inter-grid switch in the wind power generator and the system connected thereto, and transferring it to the power quality analysis module (S51).

In the power quality analysis module, a comprehensive power quality measurement and analysis process proceeds through various signal data and measurement data as described above. In other words, various power analysis tools such as Harmonics, Sag, Swell, Flicker, etc. are conducted for various voltages and currents using various analysis tools such as FFT conversion. A comprehensive determination will be made as to whether it is a power quality problem or a wind facility problem or a system accident impact.

Although the present invention has been described above by means of limited embodiments and drawings, the present invention is not limited thereto and will be described below by the person skilled in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of the claims.

110: power measurement module 120: pitch error determination module
130: yaw error determination module 140: switch data input module
150: vibration measurement module 160: power quality analysis module
170: monitoring server

Claims (7)

As a monitoring system for measuring and analyzing the power quality of wind power generators,
Power measurement means for measuring the voltage and current generated by the wind turbine;
Pitch error determination means for determining a pitch error state through wind speed measured by an anemometer installed in the wind turbine and a pitch angle of a blade;
Yaw error determination means for determining a yaw error state through the wind direction measured by the wind vane installed in the wind turbine and the yaw angle of the nussel; And
Power quality analysis means for receiving the data measured and determined from the power measuring means, pitch error determining means, yaw error determining means comprehensively analyzes the quality of the total power generated by the wind turbine; Monitoring system. The method of claim 1,
And a switch data input means for inputting signal data according to whether the associated switch between the wind turbine and the grid is operated, to the power quality analyzing means. The method of claim 1,
Vibration measuring means for measuring the vibration according to the rotation and the amount of power generation of the wind turbine and input the data measured by the power quality analysis means; Power quality monitoring system for a wind power generation further comprising. The method of claim 1,
And a monitoring server that stores and manages data measured and analyzed by the power quality analyzing means and provides information to a user terminal device through a network. The method of claim 1,
The power measuring means,
A power quality monitoring system for wind power generation, characterized in that consisting of a voltmeter for measuring the voltage generated by the wind turbine, and an ammeter for measuring the current generated by the wind generator. The method of claim 1,
The pitch error determination means,
Power quality monitoring for wind power generation, comprising: generating a pitch angle according to the currently measured wind speed by referring to a reference pitch angle according to a preset wind speed, and determining whether there is a pitch error by comparing the pitch angle of the currently measured blade system. The method of claim 1,
The yaw error determination means,
Power quality monitoring for wind power generation, characterized by generating a yaw angle according to the currently measured wind direction by referring to a reference yaw angle according to a preset wind direction, and comparing the yaw angle of the currently measured nussel to determine a yaw error. system.

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