International Journal of Science, Technology and Society
Volume 3, Issue 3, May 2015, Pages: 69-75

Real Time System BasedMonitoring of Turbine Parameters and Protection System in Thermal Power Plant

M. Surekha 1, N. Suthanthira Vanitha 2, K. Yadhari 3

1 Student, Embedded System Technologies,Knowledge Institute of Technology, Salem, India

2 Head of the Department, Department ofElectrical & Electronics Engineering, Knowledge Institute of Technology,Salem, India

3 Assistant Professor, Department ofElectrical & Electronics Engineering, Knowledge Institute of Technology,Salem, India

Email address:

( M. Surekha ) , ( N. S uthanthira Vanitha ) , ( K. Yadhari )

To cite this article:

M. Surekha, N. Suthanthira Vanitha, K. Yadhari. Real Time System Based Monitoring of Turbine Parameters andProtection System in Thermal Power Plant . International Journal of Science,Technology and Society. Vol. 3, No. 3, 2015, pp. 69 - 75 . doi: 10.11648/j.ijsts.20150303.11


Abstract: Currentlyin thermal power plant the turbine system parameters like temperature, speed,lubrication oil level and vibrations can be monitored by using the MATLAB. Ifany problem occurs in the turbine parameters, that can be controlled manuallyand the protection system is based on the relay mechanism which causes failurein the action of switch. In the proposed system, the drawbacks are eliminatedwith the support of high speed embedded processor. Real Time processor can beeasily altered according to the ports and number of devices can also beconnected. The parameters in the turbine system can be measured, monitored andcontrolled automatically. The parameters variations can be graphicallyrepresented by using the LabVIEW.

Keywords: ARM8Processor, MATLAB, LabVIEW,Automation System and Sensors


1. Introduction

Normally,the turbine system is a rotary mechanical device that extracts energy fromfluid flow and it generates the power. If the turbine parameters move to anabnormal condition, it will cause a very high damage. In this paper, it mainlyfocuses on monitoring and controlling of the turbinesystem parameters. In the existing system, all the parameters in the turbinesystemcan be monitored by using the MATLAB and it can be done by using themanual process. In order to overcome the drawbacks in the existing system theproposed system is employed.

Theadvanced ARM8 processor is used which is the heart ofthe system that controls all sub devices connected across it. The advancedprocessor is a flash type reprogrammable memory which has some peripheraldevices to play this system as efficient. For the monitoring and controllingthe parameters, temperature sensor, speed sensor, levelsensor and vibration sensor is used to sense the temperature, speed,lubrication oil level and vibrations in the turbine system respectively. Byusing the embedded processor these four parameters can be monitored and it canbe controlled automatically and graphically representedby using LabVIEW.

2. Literature Survey

KrishnaPrasad Dasari, Dr.A.M.Prasad[1] described the main aim of the research paper isto evaluate the method of environmental impact of power plant discharge byreducing the temperature difference between effluent and costal water and flowcontrol. Water temperature control and flow control measurement have beendesigned in advance technology of industrial control area for thermal dischargemodel test. Digital temperature sensors, level sensors, Flow meters, differentmodulated circuits, dedicated interface are used in the test and controlling ofthe system is adopted in software designing and programming. Measurementprocedure, data processing and controlling are done by Proportional – Integral– Derivative (PID) controller. This technology can be implemented where thethermal effluent are discharged in coastal areas.

ShiyamSundar[2]described the paper deals with the Laboratory Virtual InstrumentationEngineering Workbench (LabVIEW) are widely used in industry for supervisorycontrol and data acquisition of industrial processes. This paper describedsimulation of system for laboratory based thermal power plant generator setupusing LabVIEW data logging and supervisory control (DSC) module. Using theinput, output and functional parameters the simulation of generator unit andalarm handling technique is achieved.

Peng Guoand David infield[3] describedthe condition monitoring can greatly reduce themaintenance cost for a wind turbine. In this paper, a new condition- monitoringmethod based on the nonlinear state estimate technique for a wind turbinegenerator is proposed. The technique is used to construct the normal behaviormodel of the electrical generator temperature. Generator incipient failure isindicated when the residuals between model estimates and the measured generatortemperature become significant. Moving window averaging is used to detectstatistically significant changes of the residual mean value and standarddeviation in an effective manner; when these parameters exceed predefinedthresholds, an incipient failure is flagged. It is demonstrated that thetechnique can identify dangerous generator over temperature before damage hasoccurred that results in complete shutdown of the turbine.

MohamedZahran and Ali Yousef[4] described the purpose of the work is to investigate amonitoring of autonomous photovoltaic battery wind turbine hybrid system(PVBWHS). In this paper an intelligent graphical user interface (GUI) is builtin sub-menus for system characterization. The PVBWHS modeling, simulation, andperformance monitoring are also introduced. A LabVIEW model is designed wherebythe hybrid system components are simulated as virtual instruments [VI]interacted with functional blocks. The developed monitoring system measurescontinuously the available power generated from the solar array and windturbine, and the functional VI compare this with the actual load demand on realtime estimates the storage battery operation mode.

AlbertoBorghetti and MauroBosetti[5] described the paper presents a procedure forparameter identification along with its application to the model of a combinedcycle power plant that includes the surrounding electrical network, built forthe analysis of islanding manoeuvres transients. The paper illustrates both thepower system computer model, implemented within the EMTP-RV simulationenvironment, and the developed identification procedure based on the interfacebetween the developed model and MATLAB. The parameter identification procedureis applied to experimental transient recordings that make reference to asimilar power plant.

3. Existing System

In theexisting system, the turbine parameters like temperature, speed, lubricationoil level and vibrations in the thermal power plant can be monitored andcontrolled by using the MATLAB. It is a sophisticated data structures, containsbuilt-in editing and debugging tools and supports object-oriented programming.All these parameter can be amplified and controlled the output that match withthe input signal. If any problem occurs in the turbine parameters, it can bemonitored and controlled by using the manual process. The protection system is basedon the relay mechanism. The relays are connected with the pressure switches andit has lot of drawbacks such as occurrence of drift in the switch, failure inthe action of the switch. There is no waveform representation and automationprocess was available in the existing system.

4. Proposed System

In orderto overcome the problem in the existing system, the conventional method of theproposed system is employed. The proposed system is to monitor and control theturbine parameters by using the ARM8 processor. The advanced processor operatesat very low voltage and it consumes less power and it can be easily altered andnumber of devices can be connected according to the input and output ports. Theembedded processor is used for real time monitoring of data. The parameters inthe turbine system can be monitored and controlled by using the advancedprocessor.For the monitoring of temperature, speed,vibration and lubrication oil level, the temperature sensor, speed sensor,vibration sensor and level sensor can be used. All these parameter output isgiven to the amplifier unit. The output of the amplifier is then given to theadvanced processor. PC is connected to the processor via RS 232 and it is aserial communication cable. So the parameters can be monitored and controlledby using the embedded processor.Whenever lubrication oil level becomes low,automatically it activates the relay to turn on the DC pump. Speed can be setas constant of 3000 RPM and according to the speed, the vibration can be controlled.Temperature is controlled with the help of cooling fan. By using the advancedARM8 processor all these four parameters are monitored and it can be controlledautomatically. The parameters variations can begraphically represented by using LabVIEW.

Fig. 1. BlockDiagram of Proposed System.

Thesystem mainly operated by ARM8 processor. This paper consists of level sensor,temperature sensor, speed sensor and vibration sensor and they are used tomeasure the various parameters. The sensors can be connected to the amplifierwhich amplifies the signal.In the advanced processor, it converts the analog todigital signal through inbuilt ADC. It can be given to the driver circuit andit is used to convert the signal in the required form of processor.The signalscan be connected to the relay and it is an electrically operated switch andcurrent flowing through the coil of the relay creates a magnetic field whichattracts a lever and changes the switch contacts.So by using the relay, theparameters can be controlled. If the temperature can be raised to higher level,it can be reduced by using the cooling fan. When the oil level is decreased tolower level, it can take oil automatically from the tank. When the speedincreases, the turbine will off automatically. According to the speed, thevibration of turbine can be maintained. These parameters are implemented byusing the advanced processor. It can be graphically represented by using theLabVIEW.

ARM8

ARM8processor is used to monitor and control of the parameters automatically.According to the input and output ports, the devices can be connected to theprocessor. The advanced processor consists of the 64 pins. By using the pindiagram the sensors can be connected and control the parameters. The port1 isconnected to the temperature, speed, vibrations and lubrication oil levelsensor. The port0 is connected to the cooling fan, pump, and motor. Accordingto the connections, the operations can be performed. Power supply is connectedto the pin 10 and 11. The parameters at normal and abnormal conditions can bedisplayed by using the LCD.

5. LabVIEW

All theparameter variations like temperature, speed, lubrication oil level andvibrations can be done by using the comparator. We have to set the limit valuefor these parameters. If the parameters can be raised above to that particularlimit value, it can be represented as high in the front panel. Otherwise, itcan be mentioned as normal.If the speed can be raised above 3000 RPM, itindicates the abnormal condition. It also indicates the speed variations byusing the graphical method.

Fig. 2. Proposed Block Diagram of LabVIEW .

If thespeed is maintained as 3000 RPM, then it shows as normal condition. Soaccording to the speed, the vibrations can be varied. If the speed can beraised to higher level, vibrations also can be raised. If the speed can bemaintained as constant, vibrations will be normal in the turbine system. So wehave to maintain the speed as constant. The lubrication oil level can berepresented by using the tank as graphical method. If the lubrication oil levelcan be decreased to lower level, it can be mentioned as low and also the tanklevel will be represented as lower level. If the lubrication oil level can bemaintained as constant, it can be mentioned as normal and the tank level willbe represented as constant level in the front panel. The temperature can berepresented by using the thermistor. If the temperature can be raised to higherlevel, it can be displayed as temperature is high. Then automatically thecooling fan will be ON. These variations can be represented in the graphical ofthermistor. If the temperature cannot be raised to higher level, it can bedisplayed as temperature is normal. Then automatically the cooling fan will beOFF. All these conditions of the parameters can be graphically monitored andcontrolled by using LabVIEW.

6. Flow Chart

Fig. 3. Flow Chart ofProposed System.

Algorithm

Step 1:Start the process.

Step 2:Initialize the system.

Step 3:Representation of the temperature and according to the temperature it indicatesthe normal and abnormal conditions.

Step 4:The cooling fan will be automatically activated when the temperature moves tohigher level.

Step 5:Representation of the speed, vibrations and lubrication oil level according tothat the normal and abnormal conditions will be displayed.

Step 6:Stop the process.

7. Results

7.1 . Hardware Results

Itrepresents the monitoring and control of the parameters in the turbine systemby using the ARM processor. In the ARM8 processor, thecontrol panel consist of four options are temperature sensor, speed sensor,level sensor and vibration sensor. When selecting the option 1, it representsthe temperature. If the temperature can be raised to higher level,automatically the cooling fan will be moved to ON condition. When selecting theoption 2, it represents the speed. If the speed can be raised to higher level,it automatically represents as abnormal condition and it will reduce thespeed.When selecting the option 3, it represents the level of lubricationoil.If the oil level decreases to lower level, it automatically represents asabnormal condition.When selecting the option 4, it represents the vibration level.If the vibration is in normal condition, it represents as normal.

Fig. 4. ARM8 Processor Output .

7.2 . Software Results

Itindicates the parameters are in normal or abnormal condition by LED andgraphical representation by using LabVIEW. In the fig.5, it represents thenormal condition of the parameters. The speed can be maintained as 3000,according to that vibration also maintained. It indicates the oil level as 10and temperature as 400. It can be graphically represented and displayed theparameters is in normal condition. In the fig.6, it represents the abnormalcondition of parameters. The speed can be exceeding to 5000 and according tothat the vibration can be varied. The oil level decreases to low and thetemperature can be exceeding to 700. It can be represented by using thegraphical method and displayed the parameters is in abnormal condition.

Fig. 5. Normal Condition of Parameters .

Fig. 6. Abnormal Condition of Parameters .

7.3 . Results Comparison

Bycomparing the hardware and software results, the parameters like temperature,speed, lubrication oil level and vibration can be monitored and controlledautomatically. By using the ARM processor of eclipse software, the parametersat normal and abnormal condition can be represented by using the LCD and GLCD. GLCD(Graphical Liquid Crystal Display) is used to represent the variations in the colorformat.If the parameter is in normal condition, it indicates the blue color inGLCD and the message is displayed in LCD. If the parameter is in abnormalcondition, it indicates the red color in GLCD and the message is displayed inLCD. In the LabVIEW, all these parameter variations can be represented by usingthe graphical method. If the parameters can be raised to higher or lower level,it can be displayed in the front panel. So by comparing both the eclipsesoftware and LabVIEW, LabVIEW is easy to identify the variations of parametersby using the graphical method. By using the eclipse software, it is also veryeasy to identify the variation of parameters by using the color representationof GLCD.

8. Conclusion

In thisproject the turbine parameters like temperature, speed, lubrication oil leveland vibrations can be monitored and controlled automatically by using ARM8processor. The parameter variations of normal and abnormal conditions arerepresented by using the advanced processor and graphically represented byusing LabVIEW. The man power is reduced and it reduces the damage that can be occurringin the turbine system. In future, the number of parameters will be added in thesystem for various applications. The parameters of the turbine system are temperature,speed, lubrication oil level and vibration can be monitored and controlled byusing the online system. With the support of the wireless technology like GSM,it helps to prevent the damage occur in the turbine system.

9. Coding

#include"macros.h"

#include<ulk.h>

intmain(void) PROGRAM_ENTRY;

int main()

{

intm,n,o,p;

ulk_cpanel_printf("Welcomepower plant System\n");

ulk_cpanel_printf("Enterthe option 1 or 2 or 3\n");

ulk_cpanel_printf("1.temperature\n");

ulk_cpanel_printf("2.speed\n");

ulk_cpanel_printf("3.levelof oil\n");

ulk_scanf_hex(&m);

switch(m)

{

case 1 :

ulk_fpga_7seg_led_enable();

ulk_fpga_7seg_led_write(1);

ulk_fpga_clcd_init();

ulk_fpga_clcd_display_on();

ulk_scanf_hex(&n);

if(n<4)

{

/*****normal *****/

/*****cooling fan off *****/

}

else

/*****abnormal*****/

/*****cooling fan on *****/

   ulk_fpga_clcd_display_string("cooling fan on");

break;

case 2 :

ulk_fpga_7seg_led_enable();

ulk_fpga_7seg_led_write(2);

ulk_fpga_clcd_init();

ulk_fpga_clcd_display_on();

ulk_scanf_hex(&o);

if(o<=5)

{

/*****normal *****/

}

else

/*****automatically reduce speed *****/

break;

case 3 :

ulk_fpga_7seg_led_enable();

ulk_fpga_7seg_led_write(3);

ulk_fpga_clcd_init();

ulk_fpga_clcd_display_on();

ulk_scanf_hex(&p);

if(p=6)

{

/*****normal *****/

/*****no need to add oil *****/

}

else

/*****low level *****/

/*****increase level of oil *****/

break;

default:

ulk_fpga_clcd_init();

ulk_fpga_clcd_display_on();

ulk_fpga_clcd_display_string("Warning!");

}

}


References

  1. Mohamed Zahran and Ali Yousef et al published a paper on " monitoring of photovoltaic wind turbine battery hybrid system",(WSEAS-2014).
  2. ShiyamSundar published a paper on "simulation of generator unit inthermal power plant using LabVIEW", (IOSR-2013).
  3. PengGuo and David Infield published a paper on " wind turbine generator condition monitoring using temperature trendanalysis", (IEEE-2012).
  4. Krishna Prasad Dasari and Dr.A.M.Prasad et al published a paper on " water temperature and flow control measurement for thermal dischargemodel using PID controller, (IJERA-2012).
  5. Alberto Borghetti and Mauro Bosetti et al published a paper on " parameters identification of a power plant model for the simulationof islanding transients", (U.P.B.SCI.BULL-2010).
  6. Jaishree.S and Dr.K.Sathiyasekar et al published a paper on"wireless fault detection and preventive system for small wind turbine",(IJAREEIE-2014).
  7. L.SenthilMurugan and K.S.Aswath Rangaraj et al published a paper on"design of monitoring system and fault diagnosis in wind turbine based on canbus using arm", (IJIRSET-2014).
  8. Anish Mathew k et al published a paper on "internal model control ofpressure process using arm microcontroller", (ICCEET-2012).
  9. Nie Chun-yan and Xu shan-shan et al published a paper on "dataacquisition and realization of communication transmission based on LabVIEW",(IEEE-2012).
  10. V.Rukkumani and D.AngelineVijula et al published a paper on"Multiple parameter Monitor and Control in Wind Mills", (IJCAT-2012).
  11. John Sander et al published a paper on "steam turbine oilchallenges", (LELUBRICANTS-2012).
  12. Masaki Kato and Seiichi Asano et al published a paper on "recenttechnology for reusing aged thermal power generating units",(FUJIELECTRIC-2010).

Biography

M. Surekha is pursuing, PG in the discipline of Embedded System Technologies at Knowledge Institute of Technology, Salem, under Anna University, Chennai, India. She received her UG degree in the discipline of Electronics and Communication Engineering at Excel Engineering College, Komarapalayam under Anna University, Chennai, India. She has published and presented a number of technical papers in National Conferences and Technical symposiums. She is doing minor research works on various fields like PLC, Embedded Systems, and VLSI technology. She got best project award in ISTE for her project in UG. She is highly appreciated by the Head of the Department.

Dr. N. Suthanthira Vanitha is currently working as a Professor and Head of the Department of EEE at Knowledge Institute of Technology, Salem. She received the B.E. – Electrical and Electronics Engineering from K.S.R. college of Tech, Tiruchengode in 2000 from Madras University, M.E. -Applied Electronics in Kamaraj University and Ph.D., in Biomedical Instrumentation & Embedded Systems in 2009 from Anna University, Chennai. Her research interests lie in the area of Robotics, DSP, MEMS and Biomedical, Embedded Systems, Power Electronics and Renewable Energy systems, etc. She has published and presented number of technical papers in National and International Journals and Conferences. She has guided number of Projects for UG and PG students, currently guiding 12 Ph.D., scholars.

K. Yadhari is an Assistant Professor in the Department of Electrical and Electronics Engineering at Knowledge Institute of Technology, Salem. She had received B.E degree in Electrical and Electronics Engineering and M.E degree in Power System Engineering under Anna University, Chennai. She presented papers in National and International level conferences. She also published a journal at International level. She is the department Alumni Coordinator at Knowledge Institute of Technology, Salem. Her areas of interest are Unit commitment, Renewable energy systems and Distributed Generation.

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