SlideShare a Scribd company logo
NEURAL NETWORK BASED MPPT CONTROL OF HYBRID
POWER GENERATION SYSTEM
BATCH MEMBERS
ARUNKUMAR.T 420112105304
UNDER THE GUIDANCE OF
Mr. K.S.PANDIYAN, M.E.,
Asst. Professor / EEE
DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING
A.K.T. MEMORIAL COLLEGE OF ENGINEERING AND TECHNOLOGY
KALLAKURICHI-606202
1
12/02./2016
ABSTRACT
• This paper describes the modeling of integrated hybrid renewable energy
system. The wind and solar are used as input sources for the hybrid system.
• The proposed system involves the design of photovoltaic (PV) and wind energy
conversion system (WECS).The system is designed for constant wind speed and
varying solar irradiation and isolation.
• Maximum power point tracking (MPPT) algorithm is used to extract the
maximum power from PV array.
• The integration of two input sources is done by current-source-interface
multiple-input (MI) cuk converter.
• Neural network controller is used to control the duty cycle of one of the
converter switch thereby extracting the maximum power from solar array.
• The system consists of photovoltaic (PV) array, wind energy conversion system
(WECS), multiple input current- source-interface cuk converter, voltage source
inverter (VSI), LC filter and single phase load.
• The entire proposed system will be verified with experimental results.
212/02/16
OBJECTIVE
• Main objective of this project is to design a Neural network based
MPPT controlled power generation in hybrid model.(wind and solar).
• Another objective is to obtain continues power generation and increase the
load stability at the time of alternative power source by using multiple
input cuk converter and PWM controller.
312/02/16
METHODOLOGY
• MPPT design of proposed converter and control methods.
• Neural network based result analysis.
• Hardware implementation rated with 25watts.
• Experimental results analysis.
412/02/16
BLOCK DIAGRAM
12/02/16 5
GRID power Isolation T/F
Load
Compensating
T/F
Phase sensing
Inverter
PWM Controller
(Neural network based)
CUK converter
Wind mill
Solar Panel
Rectifier
REFERENCE
1. C.Liu, K.T.Chau and Z.Xiaodong, “An efficient wind-photovoltaic hybrid generation system using doubly excited
permanent-magnet brushless machine,” IEEE Trans.Ind.Electron., vol.57, no.3, pp.831-839, Mar.2010.
2. S.-K. Kim, J.-H. Jeon, C.-H. Cho, J.-B. Ahn, and S.-H. Kwon, “Dynamic modelling and control of a grid-connected
hybrid generation system with versatile power transfer,” IEEE Trans. Ind. Electron., vol.
55, no. 4, pp. 1677–1688, Apr. 2008
3. E. Muljadi and J. T. Bialasiewicz, “Hybrid power system with a controlled energy storage,” in Proc. IEEE 29th
IECON, 2003, vol. 2, pp.1296–1301
4. G. R.Walker and P. C. Senia, “Cascaded DC-DC converter connection of photovoltaic modules,” IEEE Trans.
Power Electron., vol. 19, no. 4,pp. 1130–1139, Jul. 2004
5. B. M. T. Ho and S.-H. Cheng, “An integrated inverter with maximum power tracking for grid-connected PV
systems,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 953–962, Jul. 2005.
6. P. M. Anderson and A. Bose, “Stability simulation of wind turbine systems,” IEEE Trans. Power Appl. Syst., vol.
PAS-102, no. 12, pp.3791–3795, Dec. 1983.
7. S. Arul Daniel and N. AmmasaiGounden“A Novel Hybrid Isolated Generating System Based on PV Fed Inverter-
Assisted Wind-Driven InductionGenerators,” IEEE Transactions On Energy Conversion, Vol. 19, no. 2, June 2004
8. W. Xiao, W. G. Dunford, and A. Capel, “A novel modeling method for photovoltaic cells”, in Proc. IEEE 35th Annu.
Power Electron. Spec. Conf. (PESC), 2004, vol. 3, pp. 1950–1956.
9. K.H. Hussein, I. Muta, T. Hoshino, M. Osakada, "Maximum photovoltaic power tracking: an algorithm for rapidly
changing atmospheric conditions", IEE Proc.-Gener. Trans. Distrib., Vol. 142, No. 1, January 1995.
10. B. G. Dobbs and P. L. Chapman, “A multiple-input DC-DC converter topology,” IEEE Power Electron. Lett., vol.
1, no. 1, pp. 6–9, Mar.2003.
12/02/16 6
12/02/16 7
THANK
YOU…

More Related Content

PDF
Development of Measuring technique for Electric Power of Wind turbine-Solar P...
PDF
Power Generation Using Piezoelectric Transducer
PDF
CILAMCE 2016 - plenary lecture BONTEMPI
PDF
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...
PDF
Analytical Estimation and Numerical Simulation of Vibration based Piezoelectr...
PDF
Performance Enhancement of DC Load and Batteries in Photovoltaic System
PDF
A Novel Approach on Photovoltaic Technologies for Power Injection in Grid Usi...
PPTX
Free Energy Magnet Motor
Development of Measuring technique for Electric Power of Wind turbine-Solar P...
Power Generation Using Piezoelectric Transducer
CILAMCE 2016 - plenary lecture BONTEMPI
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...
Analytical Estimation and Numerical Simulation of Vibration based Piezoelectr...
Performance Enhancement of DC Load and Batteries in Photovoltaic System
A Novel Approach on Photovoltaic Technologies for Power Injection in Grid Usi...
Free Energy Magnet Motor

What's hot (20)

PPTX
Piezo Electric Based Harvesting
PPTX
Micro Grid introduction
PDF
Design and Simulation of Electrification By Solar-Wind Hybrid System
PDF
Modeling and Analysis of Hybrid Solar/Wind Power System for a Small Community
DOC
Paper dzulfi
DOCX
Project repoart
PDF
Modeling and Simulation of Solar Photovoltaic System
PDF
A neuro-fuzzy approach for tracking maximum power point of photovoltaic solar...
PDF
a survey of energy harvesting sources for io t device
PDF
Energy Harvesting Presentation Rjc Tyk 2
PDF
A detailed modeling of photovoltaic module matlab
PDF
A study on modelling and simulation of photovoltaic cells
PDF
45 design
PDF
Simplified PV Module Simulator With MPPT
PPTX
Energy harvesting by chandan kumar
PDF
Report on energy harvesting through mechanical vibration
PDF
Gv icrtedc 01
PPTX
Piezo electric100 ppt
PDF
Piezoelectric energy harvesting based on vibration
PDF
Maximum power point tracking of partially shading PV system using cuckoo sear...
Piezo Electric Based Harvesting
Micro Grid introduction
Design and Simulation of Electrification By Solar-Wind Hybrid System
Modeling and Analysis of Hybrid Solar/Wind Power System for a Small Community
Paper dzulfi
Project repoart
Modeling and Simulation of Solar Photovoltaic System
A neuro-fuzzy approach for tracking maximum power point of photovoltaic solar...
a survey of energy harvesting sources for io t device
Energy Harvesting Presentation Rjc Tyk 2
A detailed modeling of photovoltaic module matlab
A study on modelling and simulation of photovoltaic cells
45 design
Simplified PV Module Simulator With MPPT
Energy harvesting by chandan kumar
Report on energy harvesting through mechanical vibration
Gv icrtedc 01
Piezo electric100 ppt
Piezoelectric energy harvesting based on vibration
Maximum power point tracking of partially shading PV system using cuckoo sear...
Ad

Similar to Neural network base power generation (20)

PPT
MPPT CONTROL FOR WIND ENERGY CONVERSION SYSTEM
PDF
IRJET- Energy Management on Grid Connected Hybrid Renewable Energy Sources us...
PDF
R36100108
PDF
A Discrete PLL Based Load Frequency Control of FLC-Based PV-Wind Hybrid Power...
PDF
An enhanced mppt technique for small scale
PDF
Design and investigations of MPPT strategies for a wind energy conversion sys...
PDF
GA Based Controller for Autonomous Wind-DG Micro grid
PDF
D027026030
PDF
PDF
Wind Turbine Generator Tied To Grid Using Inverter Techniques and Its Designs
PDF
Optimizing of the installed capacity of hybrid renewable energy with a modifi...
PDF
HYBRID SOLAR-WIND CHARGING STATION FOR ELECTRIC VEHICLES AND ITS SIMULATION
PDF
Grid Connected Wind Turbine Generator with Real and Reactive Power Control
PDF
Design of Hybrid Solar Wind Energy System in a Microgrid with MPPT Techniques
PDF
IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...
PDF
Analysis of Design, and Control of Sustainable Energy Based Hybrid Power System
PDF
Vol-4-issue-6-M-14.pdf
PDF
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
PDF
Design of Integrated Generator-Rectifier System to Determine the Maximum Powe...
PDF
Performance analysis of various parameters by comparison of conventional pitc...
MPPT CONTROL FOR WIND ENERGY CONVERSION SYSTEM
IRJET- Energy Management on Grid Connected Hybrid Renewable Energy Sources us...
R36100108
A Discrete PLL Based Load Frequency Control of FLC-Based PV-Wind Hybrid Power...
An enhanced mppt technique for small scale
Design and investigations of MPPT strategies for a wind energy conversion sys...
GA Based Controller for Autonomous Wind-DG Micro grid
D027026030
Wind Turbine Generator Tied To Grid Using Inverter Techniques and Its Designs
Optimizing of the installed capacity of hybrid renewable energy with a modifi...
HYBRID SOLAR-WIND CHARGING STATION FOR ELECTRIC VEHICLES AND ITS SIMULATION
Grid Connected Wind Turbine Generator with Real and Reactive Power Control
Design of Hybrid Solar Wind Energy System in a Microgrid with MPPT Techniques
IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...
Analysis of Design, and Control of Sustainable Energy Based Hybrid Power System
Vol-4-issue-6-M-14.pdf
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
Design of Integrated Generator-Rectifier System to Determine the Maximum Powe...
Performance analysis of various parameters by comparison of conventional pitc...
Ad

Recently uploaded (20)

PDF
III.4.1.2_The_Space_Environment.p pdffdf
PPT
Occupational Health and Safety Management System
PDF
Integrating Fractal Dimension and Time Series Analysis for Optimized Hyperspe...
PDF
EXPLORING LEARNING ENGAGEMENT FACTORS INFLUENCING BEHAVIORAL, COGNITIVE, AND ...
PDF
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
PDF
Human-AI Collaboration: Balancing Agentic AI and Autonomy in Hybrid Systems
PPTX
UNIT 4 Total Quality Management .pptx
PDF
Analyzing Impact of Pakistan Economic Corridor on Import and Export in Pakist...
PPTX
introduction to high performance computing
PPTX
UNIT - 3 Total quality Management .pptx
PPT
introduction to datamining and warehousing
PDF
Abrasive, erosive and cavitation wear.pdf
PDF
PPT on Performance Review to get promotions
PDF
R24 SURVEYING LAB MANUAL for civil enggi
PPTX
Artificial Intelligence
PPTX
6ME3A-Unit-II-Sensors and Actuators_Handouts.pptx
PPTX
Safety Seminar civil to be ensured for safe working.
PDF
BIO-INSPIRED HORMONAL MODULATION AND ADAPTIVE ORCHESTRATION IN S-AI-GPT
PDF
UNIT no 1 INTRODUCTION TO DBMS NOTES.pdf
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
III.4.1.2_The_Space_Environment.p pdffdf
Occupational Health and Safety Management System
Integrating Fractal Dimension and Time Series Analysis for Optimized Hyperspe...
EXPLORING LEARNING ENGAGEMENT FACTORS INFLUENCING BEHAVIORAL, COGNITIVE, AND ...
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
Human-AI Collaboration: Balancing Agentic AI and Autonomy in Hybrid Systems
UNIT 4 Total Quality Management .pptx
Analyzing Impact of Pakistan Economic Corridor on Import and Export in Pakist...
introduction to high performance computing
UNIT - 3 Total quality Management .pptx
introduction to datamining and warehousing
Abrasive, erosive and cavitation wear.pdf
PPT on Performance Review to get promotions
R24 SURVEYING LAB MANUAL for civil enggi
Artificial Intelligence
6ME3A-Unit-II-Sensors and Actuators_Handouts.pptx
Safety Seminar civil to be ensured for safe working.
BIO-INSPIRED HORMONAL MODULATION AND ADAPTIVE ORCHESTRATION IN S-AI-GPT
UNIT no 1 INTRODUCTION TO DBMS NOTES.pdf
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...

Neural network base power generation

  • 1. NEURAL NETWORK BASED MPPT CONTROL OF HYBRID POWER GENERATION SYSTEM BATCH MEMBERS ARUNKUMAR.T 420112105304 UNDER THE GUIDANCE OF Mr. K.S.PANDIYAN, M.E., Asst. Professor / EEE DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING A.K.T. MEMORIAL COLLEGE OF ENGINEERING AND TECHNOLOGY KALLAKURICHI-606202 1 12/02./2016
  • 2. ABSTRACT • This paper describes the modeling of integrated hybrid renewable energy system. The wind and solar are used as input sources for the hybrid system. • The proposed system involves the design of photovoltaic (PV) and wind energy conversion system (WECS).The system is designed for constant wind speed and varying solar irradiation and isolation. • Maximum power point tracking (MPPT) algorithm is used to extract the maximum power from PV array. • The integration of two input sources is done by current-source-interface multiple-input (MI) cuk converter. • Neural network controller is used to control the duty cycle of one of the converter switch thereby extracting the maximum power from solar array. • The system consists of photovoltaic (PV) array, wind energy conversion system (WECS), multiple input current- source-interface cuk converter, voltage source inverter (VSI), LC filter and single phase load. • The entire proposed system will be verified with experimental results. 212/02/16
  • 3. OBJECTIVE • Main objective of this project is to design a Neural network based MPPT controlled power generation in hybrid model.(wind and solar). • Another objective is to obtain continues power generation and increase the load stability at the time of alternative power source by using multiple input cuk converter and PWM controller. 312/02/16
  • 4. METHODOLOGY • MPPT design of proposed converter and control methods. • Neural network based result analysis. • Hardware implementation rated with 25watts. • Experimental results analysis. 412/02/16
  • 5. BLOCK DIAGRAM 12/02/16 5 GRID power Isolation T/F Load Compensating T/F Phase sensing Inverter PWM Controller (Neural network based) CUK converter Wind mill Solar Panel Rectifier
  • 6. REFERENCE 1. C.Liu, K.T.Chau and Z.Xiaodong, “An efficient wind-photovoltaic hybrid generation system using doubly excited permanent-magnet brushless machine,” IEEE Trans.Ind.Electron., vol.57, no.3, pp.831-839, Mar.2010. 2. S.-K. Kim, J.-H. Jeon, C.-H. Cho, J.-B. Ahn, and S.-H. Kwon, “Dynamic modelling and control of a grid-connected hybrid generation system with versatile power transfer,” IEEE Trans. Ind. Electron., vol. 55, no. 4, pp. 1677–1688, Apr. 2008 3. E. Muljadi and J. T. Bialasiewicz, “Hybrid power system with a controlled energy storage,” in Proc. IEEE 29th IECON, 2003, vol. 2, pp.1296–1301 4. G. R.Walker and P. C. Senia, “Cascaded DC-DC converter connection of photovoltaic modules,” IEEE Trans. Power Electron., vol. 19, no. 4,pp. 1130–1139, Jul. 2004 5. B. M. T. Ho and S.-H. Cheng, “An integrated inverter with maximum power tracking for grid-connected PV systems,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 953–962, Jul. 2005. 6. P. M. Anderson and A. Bose, “Stability simulation of wind turbine systems,” IEEE Trans. Power Appl. Syst., vol. PAS-102, no. 12, pp.3791–3795, Dec. 1983. 7. S. Arul Daniel and N. AmmasaiGounden“A Novel Hybrid Isolated Generating System Based on PV Fed Inverter- Assisted Wind-Driven InductionGenerators,” IEEE Transactions On Energy Conversion, Vol. 19, no. 2, June 2004 8. W. Xiao, W. G. Dunford, and A. Capel, “A novel modeling method for photovoltaic cells”, in Proc. IEEE 35th Annu. Power Electron. Spec. Conf. (PESC), 2004, vol. 3, pp. 1950–1956. 9. K.H. Hussein, I. Muta, T. Hoshino, M. Osakada, "Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions", IEE Proc.-Gener. Trans. Distrib., Vol. 142, No. 1, January 1995. 10. B. G. Dobbs and P. L. Chapman, “A multiple-input DC-DC converter topology,” IEEE Power Electron. Lett., vol. 1, no. 1, pp. 6–9, Mar.2003. 12/02/16 6