Decision Making Applications in Modern Power Systems

<p>1. Multi Criteria Decision Making (MCDM) methodologies and their application in sustainable energy system/microgrids<br>2. Uncertainty Management in Power System Operation Decision Making<br>3. Uncertainty Analysis and Risk Assessment for Effective Decision Making Using Wide Area Synchrophasor Measurement System<br>4. Power quality issues of smart microgrids: applied techniques and decision making analysis<br>5. Modeling and Simulation of Electrical Parameters in the Context of Smart Grids<br>6. Adaptive Estimation and Tracking of Power Quality Disturbances for Smart Grid Applications <br>7. Role of micro phasor measurement unit (μPMU) for decision making based on enhanced situational awareness of modern distribution system<br>8. Effects of Electrical Infrastructures in Grid with High Penetration of Renewable Sources<br>9. Distributed Generation in Deregulated Energy Markets and Probabilistic Hosting Capacity Decision Making Challenges<br>10. PSO Applied to Reactive Power Redispatch for Loss Reduction Considering Renewable Generation<br>11. Decision making-based optimal Generation-side secondary reserve scheduling and Optimal LFC in Deregulated Interconnected Power Systems<br>12. Heuristic Methods for the evaluation of Environmental Impacts in the Power Plants<br>13. Pre-dispatch of load in power plants considering maintenance management using fuzzy logic<br>14. Integration of Fixed Speed Wind Energy Conversion Systems into Unbalanced and Harmonic Distorted Power Grids<br>15. Impact of Demand Side Management Scheme on PV and Battery Size in Autonomous Residential Building<br>16. Multi-stage and Decentralized Microgrid Operations with Electric Vehicles in the Diversified California Demand Response Markets<br>17. Pattern-Recognition Methods for Decision Making in Protection of Transmission Lines<br>18. A Reliable Decision Making Algorithm for Fault during Power Swing in 400kV Double Circuit Transmission Line: A Case Study of Chhattisgarh State Power System Network<br>19. Modeling and Processing of Smart Grids Big Data: Case Study of a University Research Building</p>