Training Course on Advanced Power System Analysis and Optimization

·         Analyze complex power system networks using load flow and fault analysis.

·         Apply optimization techniques for efficient power system planning and operation.

·         Utilize tools like MATLAB/Simulink and PowerFactory for system simulation and modeling.

·         Conduct dynamic and transient stability assessments under contingency conditions.

·         Perform economic dispatch and unit commitment using advanced optimization algorithms.

·         Integrate and analyze renewable energy systems within power networks.

·         Understand and implement smart grid architecture and communication protocols.

·         Conduct reliability and contingency analysis using probabilistic methods.

·         Employ AI and machine learning algorithms for predictive maintenance and fault detection.

·         Implement real-time data analytics and SCADA integration in power systems.

·         Optimize voltage stability and reactive power control mechanisms.

·         Design resilient systems using microgrid and distributed energy resource (DER) modeling.

·         Address cybersecurity threats in power systems with grid protection strategies.

Organizational Benefits

·         Improved grid resilience and stability.

·         Enhanced staff expertise in modern simulation tools.

·         Reduction in operational and energy costs.

·         Better integration of renewables and DERs.

·         Minimized downtime due to accurate fault analysis.

·         Increased system reliability and performance.

·         Adoption of smart grid technologies.

·         Data-driven decision-making capabilities.

·         Proactive approach to cybersecurity and grid protection.

·         Competitive advantage through innovation and sustainability.

Target Participants

·         Power system engineers and technicians

·         Utility and grid operators

·         Renewable energy engineers

·         Energy consultants and analysts

·         SCADA and smart grid professionals

·         Researchers and academicians

·         Policy makers and regulatory officers

Course Outline

Module 1: Power System Fundamentals

1. Components of power systems
2. One-line diagrams and per unit systems
3. Power system topology
4. Bus classification and modeling
5. Case Study: Kenya National Grid Overview

Module 2: Load Flow Analysis

1. Gauss-Seidel and Newton-Raphson methods
2. Fast Decoupled Load Flow
3. Convergence techniques
4. Modeling of transformers and lines
5. Case Study: Load Flow for Nairobi Urban Distribution

Module 3: Fault Analysis

1. Symmetrical fault analysis
2. Unsymmetrical fault analysis (L-G, L-L, L-L-G)
3. Sequence networks
4. Short-circuit current calculation
5. Case Study: Industrial Fault Simulation

Module 4: Stability Analysis

1. Transient stability
2. Small-signal stability
3. Swing equation and equal area criterion
4. Dynamic modeling of generators
5. Case Study: Wind Power Grid Stability

Module 5: Economic Load Dispatch

1. Cost function modeling
2. Economic dispatch with and without losses
3. Lambda iteration method
4. Quadratic programming approach
5. Case Study: Optimal Dispatch for Renewable-Diesel Hybrid

Module 6: Unit Commitment and Scheduling

1. Constraints in unit commitment
2. Priority list method
3. Dynamic programming
4. Mixed integer programming (MIP)
5. Case Study: Optimal Scheduling for Rural Microgrid

Module 7: Renewable Energy Integration

1. Wind and solar modeling
2. Grid impact of intermittent energy
3. Storage technologies (batteries, hydrogen)
4. Power electronics for renewables
5. Case Study: PV Penetration in Grid-Tied System

Module 8: Power System Protection

1. Types of protection systems
2. Relay coordination and settings
3. Protection zones and breakers
4. Digital relays and IEDs
5. Case Study: Fault Isolation in Transmission System

Module 9: SCADA and Automation

1. SCADA architecture
2. RTUs and communication protocols
3. Automation for substations
4. Real-time monitoring and control
5. Case Study: SCADA for Power Distribution in Nairobi

Module 10: Smart Grid Technologies

1. AMI and demand response
2. Smart meters and IoT
3. Grid communication protocols
4. Big data and smart analytics
5. Case Study: Smart Grid Pilot in Kenya

Module 11: Optimization in Power Systems

1. Linear and non-linear optimization
2. Genetic Algorithms and PSO
3. Optimal power flow (OPF)
4. Multi-objective optimization
5. Case Study: Voltage Profile Optimization

Module 12: Power Quality and Harmonics

1. Power quality indices