JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisite

power systems and Artificial Neural Networks

Course Objectives

Students will be able to:

• Known Neural network tool box
• Know the various Evolutionary Algorithms
• Apply various Evolutionary Algorithms to power system problems

Course Outcomes

At the end of the course the student will be able to:

• Understood Neural network and fuzszy logic tool box
• Understood various Evolutionary Algorithms
• Solved power system problems by applying various Evolutionary Algorithms

List of Experiments

• 1. Load Flow analysis using Neural Network
• 2. State Estimations using Neural Network
• 3. Contingency Analysis using Neural Network
• 4. Power system Security using Neural Network
• 5. Fuzzy Logic based AGC – Single area system – Two area system
• 6. Fuzzy Logic based small signal stability analysis
• 7. Economic Dispatch of Thermal Units using ANN
• 8. Economic Dispatch of Thermal Units using GA
• 9. Unit commitment problem by using GA
• 10. Unit commitment problem by using PSO
• 11. Optimal location and sizing of capacitor in distribution system using PSO
• 12. Security constrained optimal power dispatch using GA
• 13. Optimal Reactive power dispatch using PSO R19 M. TECH. EPE/EPS M. TECH. I Year II Sem. (EPE/EPS)