This application claims priority to Indian Application No. 1422/DEL/2015 filed May 20, 2015, the contents of which are hereby incorporated in its entirety.
The present invention relates to a method for monitoring the signal quality of an electrostatic precipitator and electrostatic precipitator.
Electrostatic precipitators comprise collecting electrodes and discharge electrodes that are supplied with electric power by a transformer connected to the electric grid.
During operation it is useful to supply the collecting electrodes and discharge electrodes with high electric power (e.g. current intensity) because this improves dust collection at the collecting electrodes.
In addition, it is important to limit the electric power (e.g. current intensity) supplied to the collecting electrodes and discharge electrodes, because a too high electric power (e.g. current) can cause sparks. Sparks cause the discharge of the energy accumulated in the collecting electrodes and discharge electrodes and thus must typically be avoided (but in some processes controlled sparks can be beneficial).
Traditionally, the signal quality of the features (e.g. current, voltage) of the electric power supplied by the electric grid to the transformer (primary features) and signal quality of the features (e.g. current, voltage) of the electric power supplied by the transformer to the collecting electrodes and discharge electrodes (secondary features) are only measured before the electrostatic precipitator is operated (e.g. during tests carried out after installation of the electrostatic precipitator but before starting operation).
For this reason it is not possible to detect possible troubles or damages or bad signal quality that can cause a non-optimal operation of the electrostatic precipitator; e.g. troubles or damages or bad signal quality can occur at the electric grid and/or transformer and/or cables connecting the transformer to the electric grid and to the collecting electrodes and discharge electrodes.
In addition, the measurements are done using an external oscilloscope by trained personnel.
An aspect of the invention includes providing a method and an electrostatic precipitator that permit detection of bad signal quality also after installation, when the electrostatic precipitator is actually used.
Another aspect of the invention includes providing a method and an electrostatic precipitator that permit detection of bad signal quality without external equipment and without the need of trained personnel.
These and further aspects are attained by providing a method and an electrostatic precipitator in accordance with the accompanying claims.
Further characteristics and advantages will be more apparent from the description of a preferred but non-exclusive embodiment of the method and electrostatic precipitator, illustrated by way of non-limiting example in the accompanying drawings, in which:
In the following the electrostatic precipitator 1 is described first.
The electrostatic precipitator 1 has a casing 2 that houses collecting electrodes 3, e.g. having plate shape, and discharge electrodes 4, e.g. having rectilinear shape and defined by bars or cables.
The electrostatic precipitator 1 further comprises a transformer 6; the transformer 6 is connected via cables 7 to the collecting electrodes 3 and discharge electrodes 4. The transformer 6 is also connected via cables 8 to the electric grid 9. The transformer 6 is provided with primary electric power from the electric grid 9 and provides secondary electric power to the collecting electrodes 3 and discharge electrodes 4.
The electrostatic precipitator further comprises a controller 10 connected to the transformer 6, for driving the transformer.
The electrostatic precipitator further has one or more sensors 12a-d for measuring in real time at least one feature of the primary electric power and/or at least one feature of the secondary electric power.
The sensors can comprise:
In addition, the electrostatic precipitator 1 comprises a control unit 15 for elaborating the measured feature generating information indicative of the signal quality and an interface 16, such as a monitor, for providing the information.
In a preferred embodiment, the control unit 15 is part of or is embedded in the controller 10.
This electrostatic precipitator 1 can implement a method comprising measuring in real time at least one feature of the primary electric power and/or at least one feature of the secondary electric power.
The measurement is made in real time, i.e. during the operation of the electrostatic precipitator 1 and the measured features are supplied to the control unit 15. One or more features can be detected, such as current and/or voltage of the electric power; in addition the features of the electric power passing through the cables 7 or cables 8 or both cables 7 and 8 is possible.
The method further comprises elaborating the measured features generating information indicative of the signal quality. The control unit (or controller) can have an analog/digital converter, such that the control unit 15 has to elaborate a digital signal. The control unit is preferably a computer system such that signal elaboration can be easily made by programming the computer system.
The method further comprises providing the information; this can be done by showing the information on the monitor 16. In addition or as an alternative the information can be provided to users that generate reports (e.g. automatic users) or systems that activate an alarm, e.g. in case the information differs from what expected.
Different possibilities are available for the electric power feature that is measured and for elaborating the measured feature; any of the examples explained below can be implemented alone or in combination with the others.
In a first example, the feature is the primary voltage, and elaborating comprises obtaining the spectrum analysis (e.g. by fast Fourier transform, e.g. shown in
For the primary voltage it is expected that the harmonics are placed on 1 and 3 times the primary voltage frequency; thus if the primary voltage frequency is e.g. 50 Hz, the first harmonic is expected at 50 Hz and the second harmonic at 150 Hz.
Than information is generated by calculating the percentage of power associated to given harmonics, such as the first harmonic (e.g. 50 Hz) and second harmonic (i.e. 150 Hz), with respect to the total power associated to all harmonics.
The information can be:
From this information it is possible to ascertain whether noise in included in the primary voltage; in fact if the information is GOOD there is no or limited noise that could hinder the electrostatic precipitation operation. In case the information is BAD the electric grid and/or the transformer 6 and/or the cables 8 could be defective or could incorrectly operate and generate undesired and unexpected harmonics.
In a second example, the feature is the primary voltage and elaborating comprises calculating the zero cross deviation of the primary voltage.
The zero cross deviation can be calculated by measuring the maximum half cycle time (Pmax) and the minimum half cycle time (Pmin), calculating their difference and subtracting the sampling error (twice the sampling period T). This value can be multiplied by 100.
The formula for calculating the zero cross deviation is thus:
ZCD=Pmax−Pmin−2T
wherein
If for example P1=Pmin=11T ms and P2=Pmax=13T ms the zero cross deviation is 0 ms.
The information regarding the zero cross deviation can be:
The zero cross can be used as a reference at the controller 10 for driving the transformer 6; for example the zero cross is used as a reference to drive the transformer 6 for it to send current pulses to the collecting electrodes 3 and discharge electrodes 4. Thus the zero cross deviation indicates that there are no substantial disturbances around the zero cross that could affect the performances of the electrostatic precipitator.
In a third example the feature is the secondary voltage and elaborating comprises obtaining the spectrum analysis of the secondary voltage.
The analysis is the same as that of the primary voltage, but in this case other frequencies are expected to be seen. In particular, harmonics are expected at 2 and 4 times the primary voltage frequency; thus if the primary voltage frequency is e.g. 50 Hz, the first harmonic is expected at 100 Hz and the second harmonic at 200 Hz.
The information is elaborated by calculating the percentage of the power associated to given harmonics, such as the first harmonic (e.g. 100 Hz) and second harmonic (e.g. 200 Hz), with respect to the total power associated to all harmonics. The information can be:
If the signal is classified as bad, it is not recommended to use the optimization algorithm to calculate the corona time and corona voltage.
In a fourth example the feature is the secondary voltage and the information comprises the derivative of the secondary voltage with respect to time dV/dt.
The information takes the maximum negative derivative dV/dt during the sampling time; all positive dV/dt are ignored. The information can be:
This analysis can give an indication whether the secondary voltage can be accurately used for sparks detection. If under normal conditions the derivative is too high, the threshold for spark detection needs to be set to a high level in order to not get false detections of sparks. When a high threshold is set, the controller could ignore sparks.
In a fifth example the feature is the primary current and elaborating comprises obtaining the spectrum analysis of the primary current.
The analysis is the same as that of the primary voltage. In this case harmonics are expected at 1 and 3 and 5 times the frequency of the primary current. For example, in case the primary current frequency is 60 Hz, harmonics are expected at 60 Hz, 180 Hz, 300 Hz.
The information is generated by calculating the percentage of the power associated to given harmonics, such as the first harmonic (e.g. 60 Hz), second harmonic (e.g. 180 Hz) and third harmonic (e.g. 300 Hz), with respect to the total power associated to all harmonics. The information can be:
If the signal is classified as bad, it is not recommended to use the optimization algorithm to calculate the corona time and corona voltage.
In a sixth example the feature is the secondary current and elaborating comprises obtaining the spectrum analysis of the secondary current.
The analysis is the same as that of the primary voltage. In this case harmonics are expected at 2 and 3 times the frequency of the primary current. For example, in case the primary current frequency is 60 Hz, harmonics are expected at 120 Hz, 240 Hz.
Also in this case the information is generated by calculating the percentage of the power associated to given harmonics, such as the first harmonic (e.g. 120 Hz) and second harmonic (e.g. 240 Hz), with respect to the total power associated to all harmonics. The information can be:
On the basis of the information, it is possible a regulation of the electrostatic precipitator, either manual or automatic. In addition it is possible to set up for maintenance works to be done during outages of the power plant.
Naturally the features described may be independently provided from one another.
Number | Date | Country | Kind |
---|---|---|---|
1422/DEL/2015 | May 2015 | IN | national |
Number | Name | Date | Kind |
---|---|---|---|
3363402 | Taylor | Jan 1968 | A |
3374609 | Kide | Mar 1968 | A |
3443358 | Thomas | May 1969 | A |
3504479 | Coe, Jr. | Apr 1970 | A |
3641740 | Schumann | Feb 1972 | A |
3772853 | Burge | Nov 1973 | A |
3984757 | Gott | Oct 1976 | A |
4061961 | Baker | Dec 1977 | A |
4267502 | Reese | May 1981 | A |
4521228 | Daar | Jun 1985 | A |
4605424 | Johnston | Aug 1986 | A |
4751401 | Beigel | Jun 1988 | A |
4860149 | Johnston | Aug 1989 | A |
5378978 | Gallo | Jan 1995 | A |
5591249 | Hankins | Jan 1997 | A |
5631818 | Johnson | May 1997 | A |
5639294 | Ranstad | Jun 1997 | A |
6282106 | Grass | Aug 2001 | B2 |
6461405 | Reyes | Oct 2002 | B2 |
6721345 | Bragin | Apr 2004 | B2 |
6839251 | Johnston | Jan 2005 | B2 |
6937455 | Krichtafovitch | Aug 2005 | B2 |
7452403 | Younsi | Nov 2008 | B2 |
7594958 | Krichtafovitch | Sep 2009 | B2 |
7606543 | Seppanen | Oct 2009 | B1 |
8007566 | Abdelkrim | Aug 2011 | B2 |
8233255 | Ford | Jul 2012 | B1 |
8797707 | Ford | Aug 2014 | B2 |
20040004797 | Krichtafovitch et al. | Jan 2004 | A1 |
20080264249 | Truce | Oct 2008 | A1 |
Number | Date | Country |
---|---|---|
1402149 | Aug 1975 | GB |
9308240 | Nov 1997 | JP |
2001-300348 | Oct 2001 | JP |
Entry |
---|
Gabriel N. Popa et al.; “A Prospective on Power Quality Analyze of Three Sections Plate-Type Electrostatic Precipitator Supplies,” Apr. 18, 2012 (Apr. 18, 2012); Proceedings 11th WSEAS Int'l Conf, Recent Researches in Circuits, Systems, Multimedia Control; ISBN 978-1-61804-085-5; pp. 49-54. |
Gargoom and et. al.; Automatic Classification and Characterization of Power Quality Events; Oct. 4, 2008; IEEE Transactions on Power Delivery, vol. 23, No. 4; 2417-2425. |
Gabriel N. Popa et al.; “A Prospective on Power Quality Analyze of Three Sections Plate-Type Electrostatic Precipitator Supplies,” Apr. 18, 2012 (Apr. 18, 2012); Proceedings 11th WSEAS Int'l Conf, Recent Researches in Circuits, Systems, Multimedia Control; ISBN 978-1-61804-085-5; pp. 49-54. (Year: 2012). |
https://calcworkshop.com/application-derivatives/application-derivatives-lesson-1/; Jul. 12, 2017. (Year: 2017). |
Grass, N., “Electrostatic precipitator diagnostics based on flashover characteristics,” Conference Record of the 2005 IEEE Industry Applications Conference Fortieth IAS Annual Meeting, Oct. 2-6, 2005, Kowloon, Hong Kong, China, IEEE vol. 4, Oct. 2, 2005, pp. 2573-2577. |
Popa, G.N. et al., “A Prospective on Power Quality Analyze of Three Sections Plate-Type Electrostatic Precipitator Supplies,” IMMURO'12 Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of the 12th WSEAS international conference on Robotics, Control and Manufacturing Technology, and Proceedings of the 12th WSEAS international conference on Multimedia Systems & Signal Processing, Apr. 18, 2012, pp. 49-54. |
Extended European Search Report and Opinion issued in connection with corresponding EP Application No. 15177278.7 dated Oct. 12, 2016. |
Number | Date | Country | |
---|---|---|---|
20160339448 A1 | Nov 2016 | US |