JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisite

Power Systems and Artificial Neural Networks

Course Objectives:

• To know Neural network tool box
• To know the various Evolutionary Algorithms
• To apply various Evolutionary Algorithms to power system problems

Course Outcomes

After completion of the course, students will be able to:

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

List of Experiments:

• 1. Load Flow analysis using Neural Network
• 2. State Estimation 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. M. Tech – II Semester L T P C 0 0 4 2