Six fault define and neural network learn the condition in order to identify the fault through PMU's

1. IEEC 2019
4th INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
Intelligent Control System to Identify Fault in
Distribution Network of Smart Grid through
Neural Network
AUTHORS
Syed Owais Ali Chishti, Syed Atif Naseem, Riaz Uddin, Muhammad Hammad
Saleem, Syed Wasif Naseem
(soac@outlook.com, syedatifnaseem@gmail.com, riazuddin@neduet.edu.pk,
engr.hammadsaleem@gmail.com, wasif_25@hotmail.com)

2. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
AGENDA
January 23, 2019 2
• Introduction
• Objective
• Electric Faults
• Parameter
• Neural Network
• Result
• Conclusion

3. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
INTRODUCTION
January 23, 2019 3
• Phasor Measurement Unit (PMU)
• Provide insights of power system
• Deployed in distribution network
• Collects parameters of Network
• Communication between PMU
• For identification of problem.
• Helps determining location of fault
• Provide backup protection

4. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
OBJECTIVE
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• Review Electric faults of power stations
• To predict electric faults
• Improve SAIDI and SAIFI

5. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
ELECTRIC FAULT TYPES
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A. Single Line to Ground Fault (SLG Fault)
B. Line to line Fault (LL Fault)

6. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
ELECTRIC FAULT (Con’t)
January 23, 2019 6
C. Double line to Ground fault (DLG Fault)
D. Three Phase Fault (3-phase Fault)
E. Single Phase Open Circuit Fault (POC Fault)

7. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
NEURAL NETWORK
January 24, 2019 7
• Neural network is a collection of artificial neurons.
• Modeled against human brain’s neurons
• Neurons are weights
• Learn the problem

8. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
INPUTS FOR NEURAL NETWORK
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1. Voltage (V)
2. Current (I)
3. Reactive Power (Var)
4. Watt (Var)
5. Apparent Power
6. Frequency
7. Power Factor
Output: Fault Type

9. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
PROCESSING
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1. Preprocessing
• Scaling
• Binary class; NN understands
2. Neural Network Layers
3. Activation Functions
4. Gradient Descent

10. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
RESULTS
January 23, 2019 10
1. Our neural network was evaluated and
achieved 100% efficient and accurate
2. Determining the fault types
• Useful for line men and crew
3. Finding the fault location
4. Improving the SAIDI and SAIFI of the
distribution network of Smart Grid.

11. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
CONCLUSION
January 24, 2019 11
• PMU plays and important role
• measuring the voltage and current phasors
• steady state condition and fault condition in real time
• Teaching a neural model can provide
• Insights of the problem
• In-depth solution
• Real-time updates

12. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE January 24, 2019 12

13. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
THANK YOU!
January 23, 2019 13

14. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
REFERENCES
January 23, 2019 14
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15. IEEC 2019 – 4TH INTERNATIONAL ELECTRICAL ENGINEERING CONFERENCE
REFERENCES (Con’t)
January 23, 2019 15
• E. Janecek, P. Hering, P. Janecek, A. Popelka, “Transmission line identification using PMUs,” Environment and
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