SlideShare a Scribd company logo
1 of 4
29-04-2020 21:45 MATLAB Command Window 1 of 7
>> %
>> %% Resolução do Exercício 1
>> %% alínea, g)Usando Matlab e PowerWorld Simulator, simule:
%• Modelo DC
%• Modelo AC usando Newton
%• Modelo AC usando desacoplado rápido
>> %
>> %• Modelo DC; agora corremos o caso no modelo DC a partir do seguinte comando:
>> rundcpf('DC_exer_1')
MATPOWER Version 6.0, 16-Dec-2016 -- DC Power Flow
Converged in 0.00 seconds
================================================================================
| System Summary |
================================================================================
How many? How much? P (MW) Q (MVAr)
Buses 4 Total Gen Capacity 318.0 0.0 to 0.0
Generators 2 On-line Capacity 318.0 0.0 to 0.0
Committed Gens 2 Generation (actual) 500.0 0.0
Loads 4 Load 500.0 0.0
Fixed 4 Fixed 500.0 0.0
Dispatchable 0 Dispatchable -0.0 of -0.0 -0.0
Shunts 0 Shunt (inj) -0.0 0.0
Branches 5 Losses (I^2 * Z) 0.00 0.00
Transformers 0 Branch Charging (inj) - 0.0
Inter-ties 0 Total Inter-tie Flow 0.0 0.0
Areas 1
Minimum Maximum
Voltage Magnitude 1.000 p.u. @ bus 1 1.000 p.u. @ bus 1
Voltage Angle -11.10 deg @ bus 3 0.00 deg @ bus 1
================================================================================
| Bus Data |
================================================================================
Bus Voltage Generation Load
# Mag(pu) Ang(deg) P (MW) Q (MVAr) P (MW) Q (MVAr)
1 1.000 0.000* 182.00 0.00 50.00 0.00
2 1.000 -7.435 - - 170.00 0.00
3 1.000 -11.100 - - 200.00 0.00
4 1.000 -3.812 318.00 0.00 80.00 0.00
Total: 500.00 0.00 500.00 0.00
================================================================================
| Branch Data |
================================================================================
Brnch From To From Bus Injection To Bus Injection Loss (I^2 * Z)
# Bus Bus P (MW) Q (MVAr) P (MW) Q (MVAr) P (MW) Q (MVAr)
29-04-2020 21:45 MATLAB Command Window 2 of 7
1 1 2 0.00 0.00 -0.00 0.00 0.000 0.00
2 1 3 0.00 0.00 -0.00 0.00 0.000 0.00
3 1 4 132.00 0.00 -132.00 0.00 0.000 0.00
4 2 4 -170.00 0.00 170.00 0.00 0.000 0.00
5 3 4 -200.00 0.00 200.00 0.00 0.000 0.00
Total: 0.000 0.00
>> %
%• Modelo AC usando Newton
%
% Esse modelo é possivel segundo o seguinte comando:
runpf('DC_exer_1')
MATPOWER Version 6.0, 16-Dec-2016 -- AC Power Flow (Newton)
Newton's method power flow converged in 4 iterations.
Converged in 0.02 seconds
================================================================================
| System Summary |
================================================================================
How many? How much? P (MW) Q (MVAr)
Buses 4 Total Gen Capacity 318.0 -200.0 to 200.0
Generators 2 On-line Capacity 318.0 -200.0 to 200.0
Committed Gens 2 Generation (actual) 514.2 350.8
Loads 4 Load 500.0 309.9
Fixed 4 Fixed 500.0 309.9
Dispatchable 0 Dispatchable -0.0 of -0.0 -0.0
Shunts 0 Shunt (inj) -0.0 0.0
Branches 5 Losses (I^2 * Z) 14.17 70.86
Transformers 0 Branch Charging (inj) - 29.9
Inter-ties 0 Total Inter-tie Flow 0.0 0.0
Areas 1
Minimum Maximum
Voltage Magnitude 0.900 p.u. @ bus 3 1.020 p.u. @ bus 4
Voltage Angle -11.51 deg @ bus 3 0.00 deg @ bus 1
P Losses (I^2*R) - 8.49 MW @ line 3-4
Q Losses (I^2*X) - 42.47 MVAr @ line 3-4
================================================================================
| Bus Data |
================================================================================
Bus Voltage
# Mag(pu) Ang(deg)
Generation
P (MW) Q (MVAr)
Load
P (MW) Q (MVAr)
1 1.000 0.000* 196.17 -36.82 50.00 30.99
2 0.966 -7.736 - - 170.00 105.35
3 0.900 -11.510 - - 200.00 123.94
4 1.020 -4.498 318.00 387.63 80.00 49.58
Total: 514.17 350.81 500.00 309.86
29-04-2020 21:45 MATLAB Command Window 3 of 7
================================================================================
| Branch Data |
================================================================================
Brnch From To From Bus Injection To Bus Injection Loss (I^2 * Z)
# Bus Bus P (MW) Q (MVAr) P (MW) Q (MVAr) P (MW) Q (MVAr)
1 1 2 0.00 0.00 0.00 0.00 0.000 0.00
2 1 3 0.00 0.00 0.00 0.00 0.000 0.00
3 1 4 146.17 -67.81 -143.62 70.10 2.550 12.75
4 2 4 -170.00 -105.35 173.13 113.34 3.129 15.64
5 3 4 -200.00 -123.94 208.49 154.61 8.493 42.47
Total: 14.172 70.86
>> %
% A seguir apresetamos os resultados do fluxo de potência usando
% O Agorítimo Newton desacoplamento rápido na versão XB %
% desta vez apresento também o resumo do processo iterrativo%
% |
mpopt=mpoption('pf.alg','FDXB');
result=runpf('DC_exer_1',mpopt)
MATPOWER Version 6.0, 16-Dec-2016 -- AC Power Flow (fast-decoupled, XB)
Fast-decoupled power flow converged in 9 P-iterations and 8 Q-iterations.
Converged in 0.29 seconds
================================================================================
| System Summary |
================================================================================
How many? How much? P (MW) Q (MVAr)
Buses 4 Total Gen Capacity 318.0 -200.0 to 200.0
Generators 2 On-line Capacity 318.0 -200.0 to 200.0
Committed Gens 2 Generation (actual) 514.2 350.8
Loads 4 Load 500.0 309.9
Fixed 4 Fixed 500.0 309.9
Dispatchable 0 Dispatchable -0.0 of -0.0 -0.0
Shunts 0 Shunt (inj) -0.0 0.0
Branches 5 Losses (I^2 * Z) 14.17 70.86
Transformers 0 Branch Charging (inj) - 29.9
Inter-ties 0 Total Inter-tie Flow 0.0 0.0
Areas 1
Minimum Maximum
Voltage Magnitude 0.900 p.u. @ bus 3 1.020 p.u. @ bus 4
Voltage Angle -11.51 deg @ bus 3 0.00 deg @ bus 1
P Losses (I^2*R) - 8.49 MW @ line 3-4
Q Losses (I^2*X) - 42.47 MVAr @ line 3-4
================================================================================
| Bus Data |
29-04-2020 21:45 MATLAB Command Window 4 of 7
================================================================================
Bus Voltage Generation Load
# Mag(pu) Ang(deg) P (MW) Q (MVAr) P (MW) Q (MVAr)
1 1.000 0.000* 196.17 -36.82 50.00 30.99
2 0.966 -7.736 - - 170.00 105.35
3 0.900 -11.510 - - 200.00 123.94
4 1.020 -4.498 318.00 387.63 80.00 49.58
Total: 514.17 350.81 500.00 309.86
================================================================================
| Branch Data |
================================================================================
Brnch From To From Bus Injection To Bus Injection Loss (I^2 * Z)
# Bus Bus P (MW) Q (MVAr) P (MW) Q (MVAr) P (MW) Q (MVAr)
1 1 2 0.00 0.00 0.00 0.00 0.000 0.00
2 1 3 0.00 0.00 0.00 0.00 0.000 0.00
3 1 4 146.17 -67.81 -143.62 70.10 2.550 12.75
4 2 4 -170.00 -105.35 173.13 113.34 3.129 15.64
5 3 4 -200.00 -123.94 208.49 154.61 8.493 42.47
Total: 14.172 70.86
result =
version:
baseMVA:
bus:
'2'
100
[4x13 double]
gen:
branch:
[2x21
[5x17
double]
double]
order: [1x1 struct]
et: 0.2890
success: 1
iterations: 9
>> % Sintese do processo iterativo
mpopt=mpoption('pf.alg',2,'verbose',2,'out.all',0);
result=runpf('DC_exer_1',mpopt);

More Related Content

What's hot

solucionario mecanica vectorial para ingenieros - beer & johnston (dinamica)...
solucionario mecanica vectorial para ingenieros - beer  & johnston (dinamica)...solucionario mecanica vectorial para ingenieros - beer  & johnston (dinamica)...
solucionario mecanica vectorial para ingenieros - beer & johnston (dinamica)...Sohar Carr
 
Anexo iv calculo de sistema de puesta a tierra
Anexo iv   calculo de sistema de puesta a tierraAnexo iv   calculo de sistema de puesta a tierra
Anexo iv calculo de sistema de puesta a tierrafernandozarate22
 
Lect2 up250 (100328)
Lect2 up250 (100328)Lect2 up250 (100328)
Lect2 up250 (100328)aicdesign
 
ACCURATE Q-PREDICTION FOR RFIC SPIRAL INDUCTORS USING THE 3DB BANDWIDTH
ACCURATE Q-PREDICTION FOR RFIC SPIRAL INDUCTORS  USING THE 3DB BANDWIDTHACCURATE Q-PREDICTION FOR RFIC SPIRAL INDUCTORS  USING THE 3DB BANDWIDTH
ACCURATE Q-PREDICTION FOR RFIC SPIRAL INDUCTORS USING THE 3DB BANDWIDTHIlango Jeyasubramanian
 
Two stage op amp design on cadence
Two stage op amp design on cadenceTwo stage op amp design on cadence
Two stage op amp design on cadenceHaowei Jiang
 
Use s parameters-determining_inductance_capacitance
Use s parameters-determining_inductance_capacitanceUse s parameters-determining_inductance_capacitance
Use s parameters-determining_inductance_capacitancePei-Che Chang
 
Transmission lines
Transmission linesTransmission lines
Transmission linesumavijay
 
Design and Implementation of Two Stage Operational Amplifier
Design and Implementation of Two Stage Operational AmplifierDesign and Implementation of Two Stage Operational Amplifier
Design and Implementation of Two Stage Operational AmplifierIRJET Journal
 
Ece 523 project – fully differential two stage telescopic op amp
Ece 523 project – fully differential two stage telescopic op ampEce 523 project – fully differential two stage telescopic op amp
Ece 523 project – fully differential two stage telescopic op ampKarthik Rathinavel
 
Differntial Input to Single Ended Output, Two stage Op-amp
Differntial Input to Single Ended Output, Two stage Op-ampDifferntial Input to Single Ended Output, Two stage Op-amp
Differntial Input to Single Ended Output, Two stage Op-ampKarthik Rathinavel
 
Capitulo 12
Capitulo 12Capitulo 12
Capitulo 12vimacive
 
Energy principle in structure analysis in civil engineering
Energy principle in structure analysis in civil engineeringEnergy principle in structure analysis in civil engineering
Energy principle in structure analysis in civil engineeringNagma Modi
 
ETRAN.word.eng_Nesic_etal_EKI1.4
ETRAN.word.eng_Nesic_etal_EKI1.4ETRAN.word.eng_Nesic_etal_EKI1.4
ETRAN.word.eng_Nesic_etal_EKI1.4Stefan Ivanovic
 

What's hot (20)

solucionario mecanica vectorial para ingenieros - beer & johnston (dinamica)...
solucionario mecanica vectorial para ingenieros - beer  & johnston (dinamica)...solucionario mecanica vectorial para ingenieros - beer  & johnston (dinamica)...
solucionario mecanica vectorial para ingenieros - beer & johnston (dinamica)...
 
Anexo iv calculo de sistema de puesta a tierra
Anexo iv   calculo de sistema de puesta a tierraAnexo iv   calculo de sistema de puesta a tierra
Anexo iv calculo de sistema de puesta a tierra
 
Lect2 up250 (100328)
Lect2 up250 (100328)Lect2 up250 (100328)
Lect2 up250 (100328)
 
ACCURATE Q-PREDICTION FOR RFIC SPIRAL INDUCTORS USING THE 3DB BANDWIDTH
ACCURATE Q-PREDICTION FOR RFIC SPIRAL INDUCTORS  USING THE 3DB BANDWIDTHACCURATE Q-PREDICTION FOR RFIC SPIRAL INDUCTORS  USING THE 3DB BANDWIDTH
ACCURATE Q-PREDICTION FOR RFIC SPIRAL INDUCTORS USING THE 3DB BANDWIDTH
 
Two stage op amp design on cadence
Two stage op amp design on cadenceTwo stage op amp design on cadence
Two stage op amp design on cadence
 
Emfbook
EmfbookEmfbook
Emfbook
 
Unit 3
Unit 3Unit 3
Unit 3
 
Use s parameters-determining_inductance_capacitance
Use s parameters-determining_inductance_capacitanceUse s parameters-determining_inductance_capacitance
Use s parameters-determining_inductance_capacitance
 
Transmission lines
Transmission linesTransmission lines
Transmission lines
 
Perhitunngan
PerhitunnganPerhitunngan
Perhitunngan
 
Design and Implementation of Two Stage Operational Amplifier
Design and Implementation of Two Stage Operational AmplifierDesign and Implementation of Two Stage Operational Amplifier
Design and Implementation of Two Stage Operational Amplifier
 
Lecture 9
Lecture 9Lecture 9
Lecture 9
 
Lesson10
Lesson10Lesson10
Lesson10
 
Ece 523 project – fully differential two stage telescopic op amp
Ece 523 project – fully differential two stage telescopic op ampEce 523 project – fully differential two stage telescopic op amp
Ece 523 project – fully differential two stage telescopic op amp
 
Folded cascode1
Folded cascode1Folded cascode1
Folded cascode1
 
Differntial Input to Single Ended Output, Two stage Op-amp
Differntial Input to Single Ended Output, Two stage Op-ampDifferntial Input to Single Ended Output, Two stage Op-amp
Differntial Input to Single Ended Output, Two stage Op-amp
 
07
0707
07
 
Capitulo 12
Capitulo 12Capitulo 12
Capitulo 12
 
Energy principle in structure analysis in civil engineering
Energy principle in structure analysis in civil engineeringEnergy principle in structure analysis in civil engineering
Energy principle in structure analysis in civil engineering
 
ETRAN.word.eng_Nesic_etal_EKI1.4
ETRAN.word.eng_Nesic_etal_EKI1.4ETRAN.word.eng_Nesic_etal_EKI1.4
ETRAN.word.eng_Nesic_etal_EKI1.4
 

Similar to Matpower machava

Electronics and communication engineering_Lect14.ppt
Electronics and communication engineering_Lect14.pptElectronics and communication engineering_Lect14.ppt
Electronics and communication engineering_Lect14.pptmuhammadzaid733820
 
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC MotorNovelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC MotorIRJET Journal
 
NR-Power Flow.pdf
NR-Power Flow.pdfNR-Power Flow.pdf
NR-Power Flow.pdfLucasMogaka
 
Stability with analysis and psa and load flow.ppt
Stability with analysis and psa and load flow.pptStability with analysis and psa and load flow.ppt
Stability with analysis and psa and load flow.pptZahid Yousaf
 
A Simulation Based Analysis of Lowering Dynamic Power in a CMOS Inverter
A Simulation Based Analysis of Lowering Dynamic Power in a CMOS InverterA Simulation Based Analysis of Lowering Dynamic Power in a CMOS Inverter
A Simulation Based Analysis of Lowering Dynamic Power in a CMOS Inverteridescitation
 
Newton raphson method
Newton raphson methodNewton raphson method
Newton raphson methodNazrul Kabir
 
A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...
A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...
A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...csandit
 
TORQUE RIPPLE MINIMIZATION OF MATRIX CONVERTER-FED PMSM DRIVES USING ADVANCED...
TORQUE RIPPLE MINIMIZATION OF MATRIX CONVERTER-FED PMSM DRIVES USING ADVANCED...TORQUE RIPPLE MINIMIZATION OF MATRIX CONVERTER-FED PMSM DRIVES USING ADVANCED...
TORQUE RIPPLE MINIMIZATION OF MATRIX CONVERTER-FED PMSM DRIVES USING ADVANCED...ijscmcj
 
Synchronous machines and Induction motors
Synchronous machines and Induction motorsSynchronous machines and Induction motors
Synchronous machines and Induction motorsJames Dunford
 
FYP Review 3 Presentation about EV c.pdf
FYP Review 3 Presentation about EV c.pdfFYP Review 3 Presentation about EV c.pdf
FYP Review 3 Presentation about EV c.pdfsauravdesignnedits
 

Similar to Matpower machava (20)

Lecture 12
Lecture 12Lecture 12
Lecture 12
 
ECE4762011_Lect14.ppt
ECE4762011_Lect14.pptECE4762011_Lect14.ppt
ECE4762011_Lect14.ppt
 
powerflowproblem.ppt
powerflowproblem.pptpowerflowproblem.ppt
powerflowproblem.ppt
 
Electronics and communication engineering_Lect14.ppt
Electronics and communication engineering_Lect14.pptElectronics and communication engineering_Lect14.ppt
Electronics and communication engineering_Lect14.ppt
 
ECE4762011_Lect14.ppt
ECE4762011_Lect14.pptECE4762011_Lect14.ppt
ECE4762011_Lect14.ppt
 
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC MotorNovelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
 
NR-Power Flow.pdf
NR-Power Flow.pdfNR-Power Flow.pdf
NR-Power Flow.pdf
 
H010245763
H010245763H010245763
H010245763
 
Stability with analysis and psa and load flow.ppt
Stability with analysis and psa and load flow.pptStability with analysis and psa and load flow.ppt
Stability with analysis and psa and load flow.ppt
 
Uv CBPSD lab
Uv CBPSD labUv CBPSD lab
Uv CBPSD lab
 
A Simulation Based Analysis of Lowering Dynamic Power in a CMOS Inverter
A Simulation Based Analysis of Lowering Dynamic Power in a CMOS InverterA Simulation Based Analysis of Lowering Dynamic Power in a CMOS Inverter
A Simulation Based Analysis of Lowering Dynamic Power in a CMOS Inverter
 
Lecture 13
Lecture 13Lecture 13
Lecture 13
 
UDSLF
UDSLFUDSLF
UDSLF
 
Newton raphson method
Newton raphson methodNewton raphson method
Newton raphson method
 
P1111145969
P1111145969P1111145969
P1111145969
 
Hy 523
Hy 523Hy 523
Hy 523
 
A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...
A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...
A NEW FUZZY LOGIC BASED SPACE VECTOR MODULATION APPROACH ON DIRECT TORQUE CON...
 
TORQUE RIPPLE MINIMIZATION OF MATRIX CONVERTER-FED PMSM DRIVES USING ADVANCED...
TORQUE RIPPLE MINIMIZATION OF MATRIX CONVERTER-FED PMSM DRIVES USING ADVANCED...TORQUE RIPPLE MINIMIZATION OF MATRIX CONVERTER-FED PMSM DRIVES USING ADVANCED...
TORQUE RIPPLE MINIMIZATION OF MATRIX CONVERTER-FED PMSM DRIVES USING ADVANCED...
 
Synchronous machines and Induction motors
Synchronous machines and Induction motorsSynchronous machines and Induction motors
Synchronous machines and Induction motors
 
FYP Review 3 Presentation about EV c.pdf
FYP Review 3 Presentation about EV c.pdfFYP Review 3 Presentation about EV c.pdf
FYP Review 3 Presentation about EV c.pdf
 

Recently uploaded

NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...Amil baba
 
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...josephjonse
 
Interfacing Analog to Digital Data Converters ee3404.pdf
Interfacing Analog to Digital Data Converters ee3404.pdfInterfacing Analog to Digital Data Converters ee3404.pdf
Interfacing Analog to Digital Data Converters ee3404.pdfragupathi90
 
21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docxrahulmanepalli02
 
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxUNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxkalpana413121
 
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024EMMANUELLEFRANCEHELI
 
Raashid final report on Embedded Systems
Raashid final report on Embedded SystemsRaashid final report on Embedded Systems
Raashid final report on Embedded SystemsRaashidFaiyazSheikh
 
The Entity-Relationship Model(ER Diagram).pptx
The Entity-Relationship Model(ER Diagram).pptxThe Entity-Relationship Model(ER Diagram).pptx
The Entity-Relationship Model(ER Diagram).pptxMANASINANDKISHORDEOR
 
Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
 
Diploma Engineering Drawing Qp-2024 Ece .pdf
Diploma Engineering Drawing Qp-2024 Ece .pdfDiploma Engineering Drawing Qp-2024 Ece .pdf
Diploma Engineering Drawing Qp-2024 Ece .pdfJNTUA
 
Basics of Relay for Engineering Students
Basics of Relay for Engineering StudentsBasics of Relay for Engineering Students
Basics of Relay for Engineering Studentskannan348865
 
Artificial Intelligence in due diligence
Artificial Intelligence in due diligenceArtificial Intelligence in due diligence
Artificial Intelligence in due diligencemahaffeycheryld
 
15-Minute City: A Completely New Horizon
15-Minute City: A Completely New Horizon15-Minute City: A Completely New Horizon
15-Minute City: A Completely New HorizonMorshed Ahmed Rahath
 
SLIDESHARE PPT-DECISION MAKING METHODS.pptx
SLIDESHARE PPT-DECISION MAKING METHODS.pptxSLIDESHARE PPT-DECISION MAKING METHODS.pptx
SLIDESHARE PPT-DECISION MAKING METHODS.pptxCHAIRMAN M
 
History of Indian Railways - the story of Growth & Modernization
History of Indian Railways - the story of Growth & ModernizationHistory of Indian Railways - the story of Growth & Modernization
History of Indian Railways - the story of Growth & ModernizationEmaan Sharma
 
Insurance management system project report.pdf
Insurance management system project report.pdfInsurance management system project report.pdf
Insurance management system project report.pdfKamal Acharya
 
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdfInvolute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdfJNTUA
 
Final DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualFinal DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualBalamuruganV28
 
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdflitvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdfAlexander Litvinenko
 
Software Engineering Practical File Front Pages.pdf
Software Engineering Practical File Front Pages.pdfSoftware Engineering Practical File Front Pages.pdf
Software Engineering Practical File Front Pages.pdfssuser5c9d4b1
 

Recently uploaded (20)

NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
 
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
 
Interfacing Analog to Digital Data Converters ee3404.pdf
Interfacing Analog to Digital Data Converters ee3404.pdfInterfacing Analog to Digital Data Converters ee3404.pdf
Interfacing Analog to Digital Data Converters ee3404.pdf
 
21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx
 
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxUNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptx
 
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
 
Raashid final report on Embedded Systems
Raashid final report on Embedded SystemsRaashid final report on Embedded Systems
Raashid final report on Embedded Systems
 
The Entity-Relationship Model(ER Diagram).pptx
The Entity-Relationship Model(ER Diagram).pptxThe Entity-Relationship Model(ER Diagram).pptx
The Entity-Relationship Model(ER Diagram).pptx
 
Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...
 
Diploma Engineering Drawing Qp-2024 Ece .pdf
Diploma Engineering Drawing Qp-2024 Ece .pdfDiploma Engineering Drawing Qp-2024 Ece .pdf
Diploma Engineering Drawing Qp-2024 Ece .pdf
 
Basics of Relay for Engineering Students
Basics of Relay for Engineering StudentsBasics of Relay for Engineering Students
Basics of Relay for Engineering Students
 
Artificial Intelligence in due diligence
Artificial Intelligence in due diligenceArtificial Intelligence in due diligence
Artificial Intelligence in due diligence
 
15-Minute City: A Completely New Horizon
15-Minute City: A Completely New Horizon15-Minute City: A Completely New Horizon
15-Minute City: A Completely New Horizon
 
SLIDESHARE PPT-DECISION MAKING METHODS.pptx
SLIDESHARE PPT-DECISION MAKING METHODS.pptxSLIDESHARE PPT-DECISION MAKING METHODS.pptx
SLIDESHARE PPT-DECISION MAKING METHODS.pptx
 
History of Indian Railways - the story of Growth & Modernization
History of Indian Railways - the story of Growth & ModernizationHistory of Indian Railways - the story of Growth & Modernization
History of Indian Railways - the story of Growth & Modernization
 
Insurance management system project report.pdf
Insurance management system project report.pdfInsurance management system project report.pdf
Insurance management system project report.pdf
 
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdfInvolute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
 
Final DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualFinal DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manual
 
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdflitvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
 
Software Engineering Practical File Front Pages.pdf
Software Engineering Practical File Front Pages.pdfSoftware Engineering Practical File Front Pages.pdf
Software Engineering Practical File Front Pages.pdf
 

Matpower machava

  • 1. 29-04-2020 21:45 MATLAB Command Window 1 of 7 >> % >> %% Resolução do Exercício 1 >> %% alínea, g)Usando Matlab e PowerWorld Simulator, simule: %• Modelo DC %• Modelo AC usando Newton %• Modelo AC usando desacoplado rápido >> % >> %• Modelo DC; agora corremos o caso no modelo DC a partir do seguinte comando: >> rundcpf('DC_exer_1') MATPOWER Version 6.0, 16-Dec-2016 -- DC Power Flow Converged in 0.00 seconds ================================================================================ | System Summary | ================================================================================ How many? How much? P (MW) Q (MVAr) Buses 4 Total Gen Capacity 318.0 0.0 to 0.0 Generators 2 On-line Capacity 318.0 0.0 to 0.0 Committed Gens 2 Generation (actual) 500.0 0.0 Loads 4 Load 500.0 0.0 Fixed 4 Fixed 500.0 0.0 Dispatchable 0 Dispatchable -0.0 of -0.0 -0.0 Shunts 0 Shunt (inj) -0.0 0.0 Branches 5 Losses (I^2 * Z) 0.00 0.00 Transformers 0 Branch Charging (inj) - 0.0 Inter-ties 0 Total Inter-tie Flow 0.0 0.0 Areas 1 Minimum Maximum Voltage Magnitude 1.000 p.u. @ bus 1 1.000 p.u. @ bus 1 Voltage Angle -11.10 deg @ bus 3 0.00 deg @ bus 1 ================================================================================ | Bus Data | ================================================================================ Bus Voltage Generation Load # Mag(pu) Ang(deg) P (MW) Q (MVAr) P (MW) Q (MVAr) 1 1.000 0.000* 182.00 0.00 50.00 0.00 2 1.000 -7.435 - - 170.00 0.00 3 1.000 -11.100 - - 200.00 0.00 4 1.000 -3.812 318.00 0.00 80.00 0.00 Total: 500.00 0.00 500.00 0.00 ================================================================================ | Branch Data | ================================================================================ Brnch From To From Bus Injection To Bus Injection Loss (I^2 * Z) # Bus Bus P (MW) Q (MVAr) P (MW) Q (MVAr) P (MW) Q (MVAr)
  • 2. 29-04-2020 21:45 MATLAB Command Window 2 of 7 1 1 2 0.00 0.00 -0.00 0.00 0.000 0.00 2 1 3 0.00 0.00 -0.00 0.00 0.000 0.00 3 1 4 132.00 0.00 -132.00 0.00 0.000 0.00 4 2 4 -170.00 0.00 170.00 0.00 0.000 0.00 5 3 4 -200.00 0.00 200.00 0.00 0.000 0.00 Total: 0.000 0.00 >> % %• Modelo AC usando Newton % % Esse modelo é possivel segundo o seguinte comando: runpf('DC_exer_1') MATPOWER Version 6.0, 16-Dec-2016 -- AC Power Flow (Newton) Newton's method power flow converged in 4 iterations. Converged in 0.02 seconds ================================================================================ | System Summary | ================================================================================ How many? How much? P (MW) Q (MVAr) Buses 4 Total Gen Capacity 318.0 -200.0 to 200.0 Generators 2 On-line Capacity 318.0 -200.0 to 200.0 Committed Gens 2 Generation (actual) 514.2 350.8 Loads 4 Load 500.0 309.9 Fixed 4 Fixed 500.0 309.9 Dispatchable 0 Dispatchable -0.0 of -0.0 -0.0 Shunts 0 Shunt (inj) -0.0 0.0 Branches 5 Losses (I^2 * Z) 14.17 70.86 Transformers 0 Branch Charging (inj) - 29.9 Inter-ties 0 Total Inter-tie Flow 0.0 0.0 Areas 1 Minimum Maximum Voltage Magnitude 0.900 p.u. @ bus 3 1.020 p.u. @ bus 4 Voltage Angle -11.51 deg @ bus 3 0.00 deg @ bus 1 P Losses (I^2*R) - 8.49 MW @ line 3-4 Q Losses (I^2*X) - 42.47 MVAr @ line 3-4 ================================================================================ | Bus Data | ================================================================================ Bus Voltage # Mag(pu) Ang(deg) Generation P (MW) Q (MVAr) Load P (MW) Q (MVAr) 1 1.000 0.000* 196.17 -36.82 50.00 30.99 2 0.966 -7.736 - - 170.00 105.35 3 0.900 -11.510 - - 200.00 123.94 4 1.020 -4.498 318.00 387.63 80.00 49.58 Total: 514.17 350.81 500.00 309.86
  • 3. 29-04-2020 21:45 MATLAB Command Window 3 of 7 ================================================================================ | Branch Data | ================================================================================ Brnch From To From Bus Injection To Bus Injection Loss (I^2 * Z) # Bus Bus P (MW) Q (MVAr) P (MW) Q (MVAr) P (MW) Q (MVAr) 1 1 2 0.00 0.00 0.00 0.00 0.000 0.00 2 1 3 0.00 0.00 0.00 0.00 0.000 0.00 3 1 4 146.17 -67.81 -143.62 70.10 2.550 12.75 4 2 4 -170.00 -105.35 173.13 113.34 3.129 15.64 5 3 4 -200.00 -123.94 208.49 154.61 8.493 42.47 Total: 14.172 70.86 >> % % A seguir apresetamos os resultados do fluxo de potência usando % O Agorítimo Newton desacoplamento rápido na versão XB % % desta vez apresento também o resumo do processo iterrativo% % | mpopt=mpoption('pf.alg','FDXB'); result=runpf('DC_exer_1',mpopt) MATPOWER Version 6.0, 16-Dec-2016 -- AC Power Flow (fast-decoupled, XB) Fast-decoupled power flow converged in 9 P-iterations and 8 Q-iterations. Converged in 0.29 seconds ================================================================================ | System Summary | ================================================================================ How many? How much? P (MW) Q (MVAr) Buses 4 Total Gen Capacity 318.0 -200.0 to 200.0 Generators 2 On-line Capacity 318.0 -200.0 to 200.0 Committed Gens 2 Generation (actual) 514.2 350.8 Loads 4 Load 500.0 309.9 Fixed 4 Fixed 500.0 309.9 Dispatchable 0 Dispatchable -0.0 of -0.0 -0.0 Shunts 0 Shunt (inj) -0.0 0.0 Branches 5 Losses (I^2 * Z) 14.17 70.86 Transformers 0 Branch Charging (inj) - 29.9 Inter-ties 0 Total Inter-tie Flow 0.0 0.0 Areas 1 Minimum Maximum Voltage Magnitude 0.900 p.u. @ bus 3 1.020 p.u. @ bus 4 Voltage Angle -11.51 deg @ bus 3 0.00 deg @ bus 1 P Losses (I^2*R) - 8.49 MW @ line 3-4 Q Losses (I^2*X) - 42.47 MVAr @ line 3-4 ================================================================================ | Bus Data |
  • 4. 29-04-2020 21:45 MATLAB Command Window 4 of 7 ================================================================================ Bus Voltage Generation Load # Mag(pu) Ang(deg) P (MW) Q (MVAr) P (MW) Q (MVAr) 1 1.000 0.000* 196.17 -36.82 50.00 30.99 2 0.966 -7.736 - - 170.00 105.35 3 0.900 -11.510 - - 200.00 123.94 4 1.020 -4.498 318.00 387.63 80.00 49.58 Total: 514.17 350.81 500.00 309.86 ================================================================================ | Branch Data | ================================================================================ Brnch From To From Bus Injection To Bus Injection Loss (I^2 * Z) # Bus Bus P (MW) Q (MVAr) P (MW) Q (MVAr) P (MW) Q (MVAr) 1 1 2 0.00 0.00 0.00 0.00 0.000 0.00 2 1 3 0.00 0.00 0.00 0.00 0.000 0.00 3 1 4 146.17 -67.81 -143.62 70.10 2.550 12.75 4 2 4 -170.00 -105.35 173.13 113.34 3.129 15.64 5 3 4 -200.00 -123.94 208.49 154.61 8.493 42.47 Total: 14.172 70.86 result = version: baseMVA: bus: '2' 100 [4x13 double] gen: branch: [2x21 [5x17 double] double] order: [1x1 struct] et: 0.2890 success: 1 iterations: 9 >> % Sintese do processo iterativo mpopt=mpoption('pf.alg',2,'verbose',2,'out.all',0); result=runpf('DC_exer_1',mpopt);