9
XI
https://doi.org/10.22214/ijraset.2021.39057
November 2021
International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com
Design Technique for Load-Sharing and Monitoring of a Power Plant Using an Intelligent Control Technique Kindjock J. J.1, Idoniboyeobu D. C.2, Braide S. L.3 1, 2, 3
Department of Electrical, Faculty of Engineering, Rivers State University, Port Harcourt
Abstract: The application of Data Technology (IT) has been growing rapidly recently. IT utilized to monitor flowing power and distributing electrical energy which is produced by thermal power plant. This project explains how to build and design interface system. Electrical energy needs to be monitored in order to keep energy following. Single Board Computer (SBC), microcontroller, sensors, and transceivers are used in logging electrical power for this project. Following to the reliable need of an efficient power supply and the concern about poor electricity power supply, deregulation, consistent overload on already existing overstressed power supply system which has become a major concern to the social economic needs. The study case system generating capacity consist of 10 units of 2000KVA (20,000VA) = 16000W for power factor of 0.8 which is tied to the exiting load demand of 30MW capacity. Research identity mischarge between the generating capacity and the load demand requirement. That the generator can only a total load capacity of 15MW at one engagement on rationalization and subsequently take the next 15MW capacity to the generator supply. This sequence of operation has put the study zone into regular percentage (blackout) there by negatively affecting the economy activities of the area. This research work has proposed for an additional capacity of 2000 KVA (20 MVA =16 MW) generating power plant for a giving power factor of 0.8 on the view to notice the existing total load of 30MW without any form of rationalization and percentage (blackout) in order to improve the power quality and voltage profile without problem in the day-to-day occurrence activities. The concern for poor power grid supply in the study case (Bertoua community) for the given load of about 16M capacity are taken due consideration with 2MWW capacity thermal power plant on the view to propose solution to improve the quality of energy supply to the Bertoua community and environ. The system is designed with electronic circuitry that can be used to sense/monitor voltage, current, frequency, temperature, pressure and cool level. The design system is modeled in proteus and matrix laboratory (MATLAB) Environment with the application of isochronous mode of control with (10 unit of 2000kVA thermal plant. The improved mode of control (Isochronous technique) was preferred over droop type of generator load sharing techniques, because the improved versus allows and maintained constants speed and frequency regardless of gradual building up of the load to the peak demand scenarios. The modeled Simulink block are configured as an intelligent system multiple generators set in parallel state to monitor and control the gradual load increase from consumer-end to the generators capacity of 2mVA thermal power plant in order to allow load of 1×2000kVA, 2×2000kVA, 3×2000kVA, 4×2000kVA, 5×2000kVA, 6×2000kVA, 7×2000kVA, 8×2000kVA, 9×2000kVA, 10×2000kVA. Since the control system will become an essential factor for reliability of power plants and electrical distribution networks consumption and electric utility at large on the view to investigate appropriate load sharing and balancing, load scheduling, load forecasting, fuel-consumption pattern, optimizing generation capacity in order to optimize energy saving, costsaving and performance. Keywords: Load-Sharing, Monitoring I. INTRODUCTION An electric power system is an organization of electrical parts used to supply, send and utilize electric power. Power systems designing is a region of electrical designing those arrangements with the generation, transmission, circulation, and usage of electric power and the electrical device associated with so much systems as generators, engines, and transformers [1]. Electrical power generation is a non-storable wellspring of energy. It must be created transport along link lines and devour at the endpoint call (load) [3]. The electrical energy creation is consistently equivalent to that devoured in addition to some extra misfortune along the line. The production of electrical energy in high voltage from thermal power plants needs a lot of attention and care [6]. With all the mechanical work done by these GS, great care has to be taken to control these power stations. Nowadays, most big towns in Nigeria suffer the crises of power rationing.
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com It’s for this reason that I decided to carry out research work on the “Design of New Management Approach For Load Sharing And Monitoring of an Automated Thermal Power Plant”, hence an Intelligent Power Plant (IPP). The circulation of dynamic KW and KVAR responsive power between equal associated Gensets should be controlled. Active power is constrained by the lead representative KW, and receptive power is constrained by the AVR [2]. This new approach would help to manage these plants and improve the efficiency of the plant and hence will reduce the crises of power rationing in Nigeria. Interestingly, the management of inadequate electric power has been handed with different modeling approaches to solve the problem of load sharing and monitoring of power generation and distributing for efficient utilization in command to advance the required strength demand, particularly to the study area of the research work [4]. This research work will look at the mismatches in the load requirement as a form of energy demand for purpose of effective load sharing of the power plant, with the aim to design a power system generating plant for monitoring and control in order to satisfy energy balance criteria. II. MATERIALS AND METHODOLOGY The list of materials used for this study are; control circuit; Microcontrollers (PIC16F88, PIC16F884), Transistors (78L05, 78L12, LM34, LM193, MCP9701, OPAMP), Resistors, Capacitor series (A700V157M002ATE028), Alternator, Logic gate (AND), CORSAIR AXi (AX1000U16V), BRIDGE, Compiler, Crystal oscillators, DIODE, Temperature sensor (KTY81), LAMP, LDR, LED, Potentiometer, Relay, Thermistor (PTC NICEL) and Transducers, Transformers, DC motor, Switch and push button. The power circuit; 3 Phase series source, 3 phase series load, 3 Phase breaker, 3 Phase transformer, 15KV and 30KV busbar 3 phase V-I measurement, port block, Voltmeter, Ammeter, the RMS block, wattmeter, Idealized ADC quantizer (Idealized quantizer for a linear analog to digital converter), multimeter, constant which allow us to interpret vector parameter, To workspace (Write input to specified timeseries, array, or structure in a workspace. For menu-based simulation, data is written in the MATLAB base workspace. Similarly, the methodology utilized is NRF24L01 is because of its effective and efficient for this proposed system. For the designing software, we split into two parts that is server side and node side [5]. This begins from designing Arduino Nano script as node side to make sensors are working well. Compiled the script using MikroProg Suite for PIC C language from PC. The calibration occurs in this progress. Voltage sensor should read voltage in parallel circuit and current sensor read current as in series circuit. Calibrating current sensor need a special sampling. Current sensor we are using is ACS712 which manufactured by Allegro MicroSystems. It performs based on Hall effect means converting DC or AC current into proportional voltage output within 0-5 volt range. Magnetic field is applied for this reading current sensor. III. RESULTS A. Simulation of the Phasor Matching Detecting Circuit. Using the lamp technique as mentioned in the previous chapter, darkness occurs when all the three lamps are off (matching the busbar voltage phasor with that of the generator). Our circuit detects this darkness using LDR. Assume that the darkness occurs when the illumination is 3 Lux. Any illumination event above this value is seen as a situation at least one lamp is bright
Figure 1: Simulation of the circuit when the illumination is below 3Lux
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com
Figure 2: Simulation of the circuit when the illumination is below 4Lux upward. The circuit outputs a 0-logic signal when there is darkness (phasor matching) and 1 logic signal when there is light (phasor do not match). Therefore, this circuit functions as expected. B. Simulation of Voltages Magnitude Matching Detecting Circuit For good synchronization to take place in the terms of voltages magnitude, both the bus-bar voltage magnitude and that of the generator much match. The following figures present the simulation of the circuit where the voltage has been brought down to instrument levels using a breakdown voltage transformer (230V/6V) not shown on the circuit.
Figure 3 Simulation of the situation where the low voltage from the busbar voltage VBB=6V<0̊ and the low voltage from the generator VGEN=5.5V<0̊
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com
Figure 4 Simulation of the situation where the low voltage from the busbar voltage VBB=6V<0̊ and the low voltage from the generator VGEN=6V<0̊ When a non-zero voltage magnitude difference occurs, the circuit outputs a 0-logic signal (led off) while when a zero-voltage magnitude difference occurs the circuit outputs a 1 logic signal (led on) C. Simulation of the Generator Temperature Level Detecting Circuit The temperature of the generator must not exceed a certain value, here we show the simulation of the designed circuit for monitoring this constraint.
Figure 5 Simulation of the circuit for temperature below 70℃
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com
Figure 6 Simulation of the circuit for temperature below 70℃ The temperature sensor LM34 is an animated device in which the input temperature can be varied. By varying the input temperature, it is observed that when the temperature is below the threshold value of 70℃ a logic signal (fig. led off) is generated on the TEMP output of the PIC 16F88 while it outputs a 1 logic signal (fig. led on) for the other values of input temperatures. D. Simulation of the Turbine inlet Pressure level Detecting Circuit The steam turbine pressure should not exceed a certain value for security purposes. The pressure sensor used here is the MPX4115.
Figure 7 Led off when the pressure is below 45Kpa
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com
Figure 8 Led off when the pressure is 45Kpa From the observations of Figures 8, the circuit generates a high-level logic signal when the pressure (from the pressure sensor MPX4115) is above the value ok 45Kpa and a low-level logic signal when the pressure is below 45Kpa. The speed monitoring circuit function analogically as that of temperature and pressure E. Load Management Circuit Simulation C1 SUB1
OSC1 20uF
G1
SW1
RV7
ID31 0%
Proteus1
SW-SPST
Pot1
ID_1
Matlab1
ID_2
G2
Pot2
RV8
ID_20
Pot3
ID_3
ID_30
Pot4
ID_4
ID_40
ID_5
Pot6
VBAT1
G3
Pot5
SW3
ID_50 VBAT10
2 3 4 5 6 7
ID_15KV ID_30KV VAC1 VBAT10
Matlab2 Proteus3 GEN3
RV9
ID33
G02
SW-SPST
(1)
0%
1k
13 14 1
OSC1 OSC2 VPP Proteus2 GEN2
ID32
U3
G01
SW2
ID_10
G03
Matlab3
SW-SPST
8 9 10
G04
Proteus4 GEN4 Matlab4
(1)
X1
CRYSTAL OSC2
GEN1
(1)
SUB3
1k
C2
Proteus5 GEN5
G05
20uF
OSC1/CLKIN OSC2/CLKOUT MCLR/Vpp/THV
RB0/INT RB1 RB2 RB3/PGM RB4 RB5 RB6/PGC RB7/PGD
RA0/AN0 RA1/AN1 RA2/AN2/VREFRA3/AN3/VREF+ RA4/T0CKI RA5/AN4/SS RC0/T1OSO/T1CKI RC1/T1OSI/CCP2 RE0/AN5/RD RC2/CCP1 RE1/AN6/WR RC3/SCK/SCL RE2/AN7/CS RC4/SDI/SDA RC5/SDO RC6/TX/CK RC7/RX/DT
0%
JOSEPH004
1k
Matlab5
SW4 G4
Proteus6 GEN6 SW-SPST
Matlab6
(1)
RV10
ID11
G06
GEN7
Proteus7
G07 PIC16F877
Matlab7
0%
RD0/PSP0 RD1/PSP1 RD2/PSP2 RD3/PSP3 RD4/PSP4 RD5/PSP5 RD6/PSP6 RD7/PSP7
33 34 35 36 37 38 39 40 15 16 17 18 23 24 25 26 19 20 21 22 27 28 29 30
G1 G2 G3 G4 G5 G6 G7
G8 G9 G10 G11
Bat
SW5 G5
1k
RV11
ID12
JOSEPH003
SW-SPST
SUB2
ID_10
(1)
ID_20 ID_1
0%
ID_30
SW6 G6
1k
RV12
Vbat
ID_2 ID_3
BIAS10
SW -SPST
(1)
100%
-3 Vdc R45
VBB
R46
ID_30KV
ID_4
ID_15KV
ID_15KV
ID_40
R47
10k R46(1)
SW7
Vac1 G7
1k
ID_30KV
BIAS1
10k
ID_5
SW -SPST ID_50
(1)
BIAS2
10k
BIAS20
VPP
CCT013 G11
G10
G9
G8
G07
G06
G05
G04
G03
G02
BAT
G01
VPP
D1 0.00
0.00
0.00
+114
0.00
0.00
0.00
0.00
0.00
0.00
0.00
LED-RED
Figure 9: Simulation lay out when the battery level is okay and the no-loadcurrent (potentio meter brought to zero position). Electronic circuitry general layout
©IJRASET: All Rights are Reserved
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com CCT013 R3
R5
10k
ID_1 10k
R4 ID_2 10k
U2
R1 ID_3 10K
R20
R21 OPAMP
BIAS1
2k
10k
R22 ID_30KV 10k
R6
R18
10k
ID_4 10k
R7
U1
ID_5 10k
R19
ID_15KV
BIAS2
-2 Vdc
10k OPAMP
Figure 10: Simulation Circuit 1
R8 JOSEPH004 R8 POT1
ID_1 4k
R9 2k
R10 POT2
ID_2 4k
R11 2k
R12 POT3
ID_3 4k
R13 2k
R24 POT4
ID_4 4k
R25 2k
R37 POT5
ID_5 4k
R38 2k
R14 POT6
VBAT1 5.1k
R15 1k
Figure 11: Simulation Circuit 2
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com JOSEPH003 R32
R75
10K
10K
U8:B(J)
U10
3 MATLAB1
S
J
1
Q
MATLAB5
2
GEN5
9
Q
AND
CLK K
6
Q
74S113
13 12
K
U1:A
100
J
A ND
CLK
R2
11
GEN1
5
S
4
U1:A(J)
U4
10
PROTEUS5 PROTE US1
8
Q
R31
U8:B
100
74S113
R17 PROTE US2
10K
U6
1
10K
PROTEUS6
AND
CLK
2
R34
GEN2
5
Q
U11:A(J)
K
U5:A
100
74S113
U12
6
Q
R16
4
MATLAB2
J
3 MATLAB6
J
1
R28 10K
AND
K
6
Q
R33
U11:A
100
74S113
10
U7
GEN6
5
Q
CLK
2
PROTE US3
S
3
S
4
U5:A(J)
J
GEN3
9
Q
AND
CLK
12
K
R23
U5:B
100
74S113
R36
8
Q
10K
PROTE US7 U11:B(J)
GEN7 11 MATLAB7
R30 10K
PROTE US4
MATLAB4
1 2
S
3
J
Q
J
13
GEN4
5
Q
9 AND
CLK
12
U9
4
U8:A(J)
U13
10
13
S
11 MATLAB3
S
U5:B(J)
K
Q
R35
U11:B
100
74S113
8
AND
CLK K
Q
R29
U8:A
100
74S113
6
Figure 12: (a) CCT013, (b) JOSEPH004, and (c) JOSEPH003 blocks are sub-circuits as presented below. CCT013 is playing the role of current summer and JOSEPH004 is mainly playing the role of the voltage divider. JOSEPH003 plays the role of generator start/stop. Generators (gen01 to gen07) are started (Boolean one) only when both orders are given from the GUI (Matlab impulse) and from the load sharing electronic circuitry (Proteus high), once any of them sends a stop (zero), the generator automatically receives a stop order (Boolean zero). Gen8 to gen9 are solely controlled from the load sharing circuitry just to emphasize the need of controlling all of them from GUI and the electronic circuitry. (JK flip-flops are in negative transition triggering mode). C1 OSC1
SUB1 20uF
G1
SW1
RV7
ID31
C2 Proteus1
SW-SPST
Matlab1
U3
G01
Pot1
ID_1
SW2
ID_10
Proteus2 GEN2
Pot3
ID_2
ID_20
ID_3
ID_30
G2
Pot2
RV8
ID32
ID_4
ID_40
Pot5
ID_5
ID_50
Pot6
VBAT1
SW3 G3
Pot4
VBAT10
2 3 4 5 6 7
ID_15KV ID_30KV VAC1 VBAT10
Matlab2 Proteus3 GEN3
RV9
ID33
G02
SW -SPST
(1)
0%
1k
13 14 1
OSC1 OSC2 VPP
0%
1k
G03
Matlab3
8 9 10
G04
Proteus4 GEN4
SW -SPST
Matlab4
(1)
CRYSTAL OSC2
GEN1
(1)
SUB3
X1
Proteus5 GEN5
G05
20uF
OSC1/CLKIN OSC2/CLKOUT MCLR/Vpp/THV
RB0/INT RB1 RB2 RB3/PGM RB4 RB5 RB6/PGC RB7/PGD
RA0/AN0 RA1/AN1 RA2/AN2/VREFRA3/AN3/VREF+ RA4/T0CKI RA5/AN4/SS RC0/T1OSO/T1CKI RC1/T1OSI/CCP2 RE0/AN5/RD RC2/CCP1 RE1/AN6/WR RC3/SCK/SCL RE2/AN7/CS RC4/SDI/SDA RC5/SDO RC6/TX/CK RC7/RX/DT
0%
JOSEPH004
1k
Matlab5
SW4 G4
Proteus6 GEN6 Matlab6
(1)
RV10
ID11
SW -SPST
G06
Proteus7 GEN7
G07 PIC16F877
Matlab7
0%
RD0/PSP0 RD1/PSP1 RD2/PSP2 RD3/PSP3 RD4/PSP4 RD5/PSP5 RD6/PSP6 RD7/PSP7
33 34 35 36 37 38 39 40 15 16 17 18 23 24 25 26 19 20 21 22 27 28 29 30
G1 G2 G3 G4 G5 G6 G7
G8 G9 G10 G11
Bat
SW5 G5
1k
JOSEPH003
SW -SPST
ID_10
(1)
RV11
ID12
SUB2
ID_20 ID_1
0%
ID_30
SW6 G6
1k
RV12
Vbat
ID_2 ID_3
BIAS10
SW-SPST
(1)
78%
-3 Vdc R45
VBB
R46(1)
SW7
Vac1
R46
ID_30KV
ID_4
ID_15KV
ID_15KV
ID_40
R47
10k
G7
1k
ID_30KV
BIAS1
10k
ID_5
SW-SPST ID_50
(1)
BIAS2
10k
BIAS20
VPP
CCT013 G11
G10
G9
G8
G07
G06
G05
G04
G03
G02
BAT
G01
VPP
D1 0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
LED-RED
Figure 13: Simulation layout when the battery is low and the load current is not zero (potentiometers not all at zero position) led D1 shines signaling low battery.
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C1 OSC1
SUB1 20uF
G1
SW1
RV7
ID31
Pot1
1k
SW -SPST
ID_1
Matlab1
Pot3
ID_2
ID_20
ID_3
ID_30
G2
Pot2
RV8
G02
Matlab2 Proteus3 GEN3
RV9
ID33
Pot5
ID_5
Pot6
VBAT1
SW3
ID_40
ID_4
ID_50 VBAT10
G03
Matlab3
8 9 10
G04
Proteus4 GEN4
G3
Pot4
2 3 4 5 6 7
ID_15KV ID_30KV VAC1 VBAT10
SW -SPST
(1)
88%
1k
13 14 1
OSC1 OSC2 VPP Proteus2 GEN2
ID32
U3
G01
SW2
ID_10
SW -SPST Matlab4
(1)
X1
CRYSTAL OSC2
GEN1
(1)
SUB3
0%
C2 Proteus1
Proteus5 GEN5
G05
20uF
OSC1/CLKIN OSC2/CLKOUT MCLR/Vpp/THV
RB0/INT RB1 RB2 RB3/PGM RB4 RB5 RB6/PGC RB7/PGD
RA0/AN0 RA1/AN1 RA2/AN2/VREFRA3/AN3/VREF+ RA4/T0CKI RA5/AN4/SS RC0/T1OSO/T1CKI RC1/T1OSI/CCP2 RE0/AN5/RD RC2/CCP1 RE1/AN6/WR RC3/SCK/SCL RE2/AN7/CS RC4/SDI/SDA RC5/SDO RC6/TX/CK RC7/RX/DT
100%
JOSEPH004
1k
Matlab5
SW4 G4
Proteus6 GEN6
G06
Matlab6
(1)
RV10
ID11
SW -SPST
Proteus7 GEN7
G07 PIC16F877
Matlab7
86%
RD0/PSP0 RD1/PSP1 RD2/PSP2 RD3/PSP3 RD4/PSP4 RD5/PSP5 RD6/PSP6 RD7/PSP7
33 34 35 36 37 38 39 40 15 16 17 18 23 24 25 26 19 20 21 22 27 28 29 30
G1 G2 G3 G4 G5 G6 G7
G8 G9 G10 G11
Bat
SW5 G5
1k
JOSEPH003
SW -SPST
ID_10
(1)
RV11
ID12
SUB2
ID_20 ID_1
0%
ID_30
SW6 G6
1k
RV12
Vbat
ID_2 ID_3
BIAS10
SW -SPST
(1)
78%
-3 Vdc R45
VBB
R46(1)
SW7
Vac1
R46
ID_4
10k
ID_15KV
ID_50
(1)
BIAS2
10k
BIAS20
CCT013 G11
G10
G9
G8
G07
G06
G05
G04
G03
G02
BAT
G01
VPP
+114
+114
+114
+114
0.00
0.00
+200
+3.04
+200
+200
+0.13
D1
ID_15KV
ID_5
SW -SPST
VPP
LED-RED
ID_30KV
ID_40
R47
10k
G7
1k
ID_30KV
BIAS1
Figure 14 : Simulation layout when the battery level is low and the load current (potentiometers not all at highest position). Matlab push buttons sws-spst : (a) all pressed and released; all generators are running except G06 and G07, (b) GEN1 and GEN4 sw-spst buttons pressed once more then released; G01 and G04 stop running suddenly. LED D1 is on when the battery is low and is off on the contrary. The generators are switched on accordingly to load power requirements. F. Graphical User Interface
Figure 1: GUI display for four scenarios: (a) Scenario 1 GUI:
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com
Plate 2: GUI display for four scenarios : (b) Scenario 2 GUI.
Plate 3: GUI Display for Four Scenarios: (c) Scenario 3 GUI
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com
Plate 4: GUI Display for four Scenarios: (d) Scenario 4 GUI IV. DISCUSSION As mentioned earlier, the concept of this project will lead to the monitoring of Gentset in Bertoua thermal power plant in. This system can also be developed in any location in Nigeria because the temperature and humidity levels are not yet a major problem when using this system. Figure 1 to figure 14 shows the basic concept of the project. The temperature, voltage, current, pressure of the circuit is controlled by the adjusting system using DC devices. If the temperature recorded in the system is less than 70°C as the coding requires, the cooling system of the Gentset will not run, the reverse occurs if the temperature recorded was 70°C and above. The temperature of Generator rates plays an important role for good combustion of fuel in the combustion chamber as design by the manufacturer. By varying the input temperature, it is observed that when the temperature is below the threshold value of 70℃ a logic signal (fig.6 led off) is generated on the TEMP output of the PIC 16F88 while it outputs a 1 logic signal (fig.7 led on) for the other values of input temperature. In this project, the steam pressure is automatically controlled using a sensor MPX4115 that works to bring the pressure of oil to the normal demand needed by the manufacturer. In this project, the different sensors will bring each parameter to be recorded to the logic signal before an order is send to GUI for the user to execute the command. All Units Gentset are always on standby during base period but start running automatically during peak period but can’t be couple or synchronize on to the busbar until the all the conditions are filled. This for controlling the power demand level on the load as well as to prevent fuel consumption and from preventing the generators from damaging when not in service in the plant. Any user also has the option either want the system works by using a solar panel or DC supply. Fig. 4 shows the mechanical design (prototype) for the project. V. CONCLUSION AND RECOMMENDATION The study was found that the thermal power plant in Bertoua has no proper control rooms, their adjustment is made at simple loop but lacks a level of centralization of all activities that would lead to better performance. This is the first proposal to use a host computer to monitor the installation; we highly recommend the company to consider it has the key solution in running its power stations. Comparing the advantages to the actual limitations of the proposed solution, we recommend the Bertoua thermal power station management to consider the benefits of automating the monitoring of the power station; these benefits go first to the company which cares about its personnel, equipment, finances, and service quality as well.
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International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue XI Nov 2021- Available at www.ijraset.com The local inhabitants are the second beneficiaries of such a solution in the sense that the power supply will be more reliable and their equipment will run good electrical parameters therefore better efficiency and reduced damages. Prototyping this solution should be done then tested on an isolated installation part for a good while, it is only after all the amendments done from observed behaviors of the prototype that one can think of implementing it on the whole station. REFERENCES [1] [2] [3] [4] [5]
[6]
Bengtsson, M., Olsson, E., Funk, P. & Jackson, M. (2004).Technical Design of Condition Based Maintenance System – A Case Study using Sound Analysis and Case-Based Reasoning. Proceedings of the 8th Conference of Maintenance and Reliability. Donald G. Fink & H. Wayne Beaty, (1978). Standard Handbook for Electrical Engineers, Eleventh Edition, McGraw-Hill, New York, ISBN 0-07020974-X pp. 3-64,3-65. Kaija, M. (2016). Utilization of condition monitoring in power plant operation and maintenance services. Master of Science Thesis. The Tampere University of Technology. Khoukhi, A. & Khalid, M. (2015). Hybrid computing techniques for fault detection and isolation, a review. Computers and Electrical Engineering. 43. Tautz-Weinert J. & Watson S.J. (2017). Bombining Model-based Monitoring and a Physics of Failure Approach for Wind Turbine Failure Detection. Presented at the 30th Conference on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2017), University of Central Lancashire, UK, 10-13th July. Zhang, Z., Wang, Y. & Wang, K. (2013). Intelligent fault diagnosis and prognosis approach for rotating machinery integrating wavelet transform, principal component analysis, and artificial neural networks. The International Journal of Advanced Manufacturing Technology. 68.
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