INTELLIGENT PROTECTION OF TRANSMISSION LINES USING

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INTELLIGENT PROTECTION OF TRANSMISSION LINES USING FUZZY LOGIC:

INTELLIGENT PROTECTION OF TRANSMISSION LINES USING FUZZY LOGIC PRESENTED BY M.V.S.PRAJITH, B.NAGARJUNA, 3 rd YEAR,EEE REGENCY INST OF TECH. YANAM.

CONTENTS ::

CONTENTS : What is Fuzzy logic??? Why Fuzzy logic??? Applications of Fuzzy logic Need of Fuzzy logic in protection of transmission lines Fuzzy set theory Implementation of Fuzzy logic Types of faults in power systems Protection of power systems using Fuzzy logic Conclusion

What is Fuzzy logic???:

What is Fuzzy logic??? Problem solving methodology which offers a convenient means for modeling inexact output by using numerical data It has the ability to adapt dynamically to the system operating conditions It offers better solutions , which cannot be found easily by traditional methods

Why Fuzzy logic???:

Why Fuzzy logic??? It provides alternatives for the many real world attributes It has capability for handling ambiguity processes It maintains system stability by logical approach It can overcome the uncertainties in both static and dynamic conditions It improves reliability of the system

PowerPoint Presentation:

Traditional representation Slow Fast Speed = 0 Speed = 1

PowerPoint Presentation:

Slowest Fastest Slow Fast [ 0.0 – 0.25 ] [ 0.25 – 0.50 ] [ 0.50 – 0.75 ] [ 0.75 – 1.00 ] Every problem must be represented in terms of fuzzy sets.

Applications of Fuzzy logic:

Applications of Fuzzy logic HVAC systems Commercial appliances Industrial automation Protection of power systems Massive 3D animation systems Artificial intelligence

Need of Fuzzy logic in protection of transmission lines:

Need of Fuzzy logic in protection of transmission lines complex multi-conductor transmission lines Mathematical models of these lines are difficult Faults in remote transmission lines cannot be recognized Fuzzy logic technique offers better solutions using Fuzzy set theory

Fuzzy set theory:

Fuzzy set theory Fuzzy sets : Any set that allows its elements to have degree of membership in the interval of [0 1] Membership function : Conveys degree of truth of the element Fuzzy variables: A quantity that take on linguistic rather than numerical values.

Basic Fuzzy model:

Basic Fuzzy model

Structure of Fuzzy relay in Transmission lines:

Structure of Fuzzy relay in Transmission lines

PowerPoint Presentation:

Second stage of implementation

Final Implementation in Transmission line:

Final Implementation in Transmission line

CONCLUSION:

CONCLUSION Fuzzy logic provides an alternative way to represent linguistic and subjective attributes of the real world in computing. It is able to be applied to control systems and other applications in order to improve the efficiency and simplicity of the design process

REFERENCES:

REFERENCES Halpern , Joseph Y. (2003). Reasoning about uncertainty. Cambridge, Mass: MIT Press. Montagna , F. (2001). "Three complexity problems in quantified fuzzy logic". Studia Logica 68 (1): 143–152. kova -Leech, M. (1983). Fuzzy Relational Data Bases. Ph. D. Dissertation. Florida State University.

THANK YOU:

THANK YOU

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