LP_SCTPS_ME
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CHAITANAYA BHARATHI INSTITUTE OF TECHNOLOGY (A) LESSON PLAN ISO 9001: 2000 Department: ELECTRICAL AND ELECTRONICS ENGINEERING Academic Year: 2014-2015 Class: I / II Semester: II Subject: EE 6106- SOFT COMPUTING TECHNIQUES TO POWER (Theory) Faculty: Ch.V.Krishna Reddy No. of Periods: 48 Commencement of Instruction: Completion of Instruction: Time-Table of the Subject: Day Wednesday Thursday Periods 3&4 1&2 No. of Public Holidays during the semester which axe the instruction: Day &Date Occasion S. No Topics/Sub Topics/Experiments No. of Periods Remarks Unit-I:ANN 1 Introduction to ANN- Difference between 2 2 Activation functions, Single layer ANN 2 3 Multi layer ANN ,Error Calculation, Training of 2 4 LMS algorithm, Back propagation algorithm in 2 5 Back propagation algorithm in Multi layer ANN, AVQ 2 Unit-II: Fuzzy Logic 1 Basic concept of Fuzzy logic, Membership Function, 2 2 Fuzzy relations, Fuzzy graphs, Fuzzy analysis 2 3 Fuzzy Quantifiers, Fuzzy Inference, Rule based system 2
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CHAITANAYA BHARATHI INSTITUTE OF TECHNOLOGY
CHAITANAYA BHARATHI INSTITUTE OF TECHNOLOGY (A)LESSON PLAN
ISO 9001: 2000Department: ELECTRICAL AND ELECTRONICS ENGINEERINGAcademic Year: 2014-2015
Class: I / II
Semester: IISubject: EE 6106- SOFT COMPUTING TECHNIQUES TO POWER (Theory) Faculty: Ch.V.Krishna Reddy
No. of Periods: 48Commencement of Instruction:
Completion of Instruction:
Time-Table of the Subject:
DayWednesdayThursday
Periods3&4 1&2
No. of Public Holidays during the semester which axe the instruction:
Day &Date
Occasion
S. NoTopics/Sub Topics/ExperimentsNo. of Periods estimatedRemarks
Unit-I:ANN
1Introduction to ANN-Difference between Artificial Neuron and Biological Neuron2
2Activation functions, Single layer ANN
2
3Multi layer ANN ,Error Calculation, Training of Neural Network, Learning rate2
4LMS algorithm, Back propagation algorithm in Single layer ANN2
5Back propagation algorithm in Multi layer ANN, AVQ algorithm2
Unit-II: Fuzzy Logic
1Basic concept of Fuzzy logic, Membership Function, Fuzzy Set Operations and its properties2
2Fuzzy relations, Fuzzy graphs, Fuzzy analysis2
3Fuzzy Quantifiers, Fuzzy Inference, Rule based system2
4Defuzzification methods2
Unit-III: Genetic Algorithms
1Introduction to GAs, Encoding, Fitness Function2
2Premature Convergence, Basic Operators, Selection, Tournament Selection2
3Truncation Selection, Linear Ranking Selection, Exponential Ranking Selection2
4Elitist Selection, Proportional Selection2
5Crossover, Mutation2
Unit-IV: Particle Swarm Optimization Techniques
1Introduction, Basic Particle Swarm Optimization, Background of PSO2
2Original PSO, Variations of
Particle Swarm Optimization2
3Discrete PSO, PSO for MINLPs2
4Constriction Factor Approach (CFA), Hybrid PSO (HPSO)2
5Lbest Model2
UNIT- V: Applications to Power Systems
1Introduction-Distribution Network Expansion2
2Dynamic Planning of Distribution System Expansion2
3Reactive Power Planning2
4Optimal Power Flow Under Contingent Condition with Line Capacity Limit2
5Optimal Power Flow for Loss Minimization etc.2
Suggested Books:1. Kwang Y. Lee and Mohamed A. El-Sharkawi, Modern heuristic optimization techniques, IEEE press, Wiley-Interscience Publication
2. Soliman, Soliman Abdel-Hady, Mantawy, Abdel-Aal Hassan, Modern Optimization Techniques with Applications in Electric Power Systems, Springer publications
3. Zimmermann.H.J, Fuzzy Set Theory and Its Applications, Kluwer Academic Publishers Suggested Reading:
4. S.N.Sivanandam, S.N.Deepa, Principles of soft computing techniques, Wiley publications.
5. Kalyanmoy Deb , Multi-objective optimization using evolutionary algorithms ,Wiley publications.
6. S.Rajsekaram, G.A.Vijayalakshmi Pai, Neural Networks, Fuzzy Logic and Genetic Algorithms - Synthesis & Applications, Practice Hall India.Signature of the Faculty
signature of the HOD
Ch.V.Krishna Reddy
Asst.Prof,EEE
