Pideya Learning Academy

Power System Planning and Flow Analysis

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
18 Aug - 22 Aug 2025 Live Online 5 Day 2750
01 Sep - 05 Sep 2025 Live Online 5 Day 2750
13 Oct - 17 Oct 2025 Live Online 5 Day 2750
08 Dec - 12 Dec 2025 Live Online 5 Day 2750
20 Jan - 24 Jan 2025 Live Online 5 Day 2750
17 Feb - 21 Feb 2025 Live Online 5 Day 2750
05 May - 09 May 2025 Live Online 5 Day 2750
02 Jun - 06 Jun 2025 Live Online 5 Day 2750

Course Overview

The transformation of the global energy sector has placed increased pressure on power system professionals to deliver sustainable, efficient, and secure electricity networks. The shift toward decentralized and deregulated markets, coupled with the accelerating adoption of renewable energy sources, has made power system planning more complex than ever before. In this context, Pideya Learning Academy introduces the Power System Planning and Flow Analysis training course—an advanced program tailored to equip professionals with the analytical frameworks and system-level thinking required to make data-driven planning decisions in modern power networks.
Electricity demand is projected to surge by over 25% globally by 2040, with more than half of new supply coming from renewables, according to the International Energy Agency (IEA). At the same time, power system reliability and economic efficiency are becoming more difficult to manage, especially as deregulation continues to alter operational structures. The World Bank notes that developing countries could cut power system costs by up to 20% by adopting reliability-centered infrastructure planning and optimized asset utilization. Against this backdrop, organizations are seeking professionals who not only understand technical intricacies but can also integrate economic, environmental, and policy considerations into their system planning efforts.
The Power System Planning and Flow Analysis training by Pideya Learning Academy is designed to address these evolving challenges. This course provides a deep dive into both foundational and emerging concepts in power system planning, with emphasis on load forecasting, economic dispatch, power-flow studies, and reliability evaluation across all segments—generation, transmission, and distribution. Participants will gain insights into how to approach long-term expansion strategies, understand market-based electricity pricing mechanisms, and apply advanced power flow techniques, including Newton-Raphson and Gauss-Seidel methods.
One of the core strengths of this course is its ability to connect theoretical models with strategic planning goals. It offers comprehensive coverage of power flow analysis and load modeling while contextualizing these elements within deregulated environments. Emphasis is placed on understanding the impact of system constraints, ancillary services, and value-based transmission expansion on reliability and cost. Participants will explore real-world case studies to better understand how system adequacy, demand-side management, and capacity planning influence power system operations in diverse regulatory settings.
In addition to equipping attendees with analytical competencies, the course fosters a strategic mindset to navigate the technical and commercial dimensions of system planning. The training highlights include:
Systematic exploration of reliability evaluation techniques across generation, transmission, and distribution networks
Application of electricity pricing strategies and economic dispatch models for planning and operations
Power-flow computation using numerical methods such as Newton-Raphson and Gauss-Seidel techniques
Frameworks for accurate load forecasting and demand growth modeling using statistical tools
Strategic analysis of demand-side management as part of integrated resource planning
Deep insights into deregulated market dynamics, ancillary services, and competitive power trading environments
Assessment of system adequacy and capacity expansion under uncertainty and evolving regulatory frameworks
This course from Pideya Learning Academy is uniquely positioned to bridge the gap between engineering practices and strategic planning in power systems. Participants will leave with the tools, confidence, and perspective needed to contribute to efficient system design, cost-optimized operations, and the development of resilient power infrastructures that align with global sustainability goals.
Whether you are a planner, engineer, analyst, or decision-maker, this course offers a comprehensive understanding of how integrated planning and flow analysis can unlock smarter, more resilient, and more sustainable power systems for the future.

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn to:
Apply comprehensive knowledge of power system planning and economics within regulated and deregulated environments
Understand the hierarchy of electricity planning frameworks and long-term strategic planning models
Utilize load forecasting techniques and apply demand forecasting best practices
Conduct economic operation analysis and adopt cost-effective planning methods
Evaluate and implement diverse electricity pricing methodologies
Quantify value-based transmission expansion and determine optimal system configuration
Solve power-flow problems using advanced numerical techniques such as Newton-Raphson
Assess optimal transmission capacities under constrained and unconstrained conditions
Incorporate demand-side management strategies into utility planning
Analyze deregulation policies, including market operations and competition models
Evaluate the dynamics of open electricity markets and their impact on system reliability

Personal Benefits

Deepens technical understanding of power system planning and reliability evaluation
Equips participants with modern tools for load forecasting and economic modeling
Enhances problem-solving and analytical abilities related to grid design and operation
Expands career opportunities in utility planning, consultancy, and regulatory bodies
Encourages strategic thinking in managing evolving energy market challenges

Organisational Benefits

Strengthens strategic decision-making capabilities for electricity planning and system design
Improves operational reliability and system cost-efficiency
Builds institutional knowledge on deregulated market participation and compliance
Enhances capacity to assess system expansion options using economic and reliability indicators
Supports sustainable energy transitions aligned with national and international policy goals

Who Should Attend

This training is ideal for:
Engineers, technical staff, and managers from electric utilities and independent power producers
Professionals in electricity regulation agencies and system operator organizations
Planners, analysts, and consultants in the energy and power sectors
Renewable energy project developers and grid integration specialists
Researchers and faculty from academic and research institutions specializing in power systems

Course Outline

Module 1: Fundamentals of Electrical Power Systems
Structure of modern power systems Generation, transmission, and distribution overview Role of interconnected grid systems Power system architecture and components Key performance metrics in power networks
Module 2: Strategic Power System Planning
Lifecycle of power system planning Long-term vs. short-term planning objectives Regulatory and environmental considerations Integration of renewable energy in planning Financial and risk assessment in planning
Module 3: Load Flow and Power Flow Analysis
Principles of steady-state load flow Bus admittance matrix formulation Gauss-Seidel and Newton-Raphson methods Voltage profile optimization Reactive power management
Module 4: System Stability and Dynamic Performance
Transient and steady-state stability concepts Rotor angle and voltage stability Swing equation and equal area criterion Impact of system disturbances Stability improvement techniques
Module 5: Short Circuit and Fault Analysis
Symmetrical vs. asymmetrical faults Fault current calculation techniques Sequence networks and their applications Equipment protection rating analysis Fault clearing strategies
Module 6: Demand and Load Forecasting Techniques
Types of load forecasting: short, medium, long-term Time-series and regression models Machine learning in load prediction Weather and economic influence on demand Load forecasting accuracy improvement
Module 7: Simulation of Power System Operations
Simulation models for power grids Event-based vs. continuous simulation tools Scenario analysis and contingency studies Real-time digital simulators (RTDS) Grid behavior under varying load conditions
Module 8: Integrated Generation Planning
Capacity expansion planning Economic dispatch and unit commitment Renewable vs. conventional generation mix Baseload vs. peaking plant selection Grid code compliance for generation
Module 9: Transmission Network Development
Transmission line design parameters Load flow in transmission planning Corridor selection and right-of-way issues FACTS and HVDC technologies Grid expansion and reinforcement strategies
Module 10: Distribution System Planning and Optimization
Radial vs. loop distribution systems Distributed energy resources integration Distribution automation systems Voltage regulation techniques Energy loss minimization
Module 11: System Reliability and Resilience Assessment
Reliability indices (SAIDI, SAIFI, CAIDI) Redundancy and contingency analysis Failure mode and effects analysis (FMEA) Risk-based maintenance planning Blackout prevention strategies
Module 12: Protection Coordination and Relay Settings
Types of protective relays and their functions Time-current characteristic curves Coordination of relay settings across zones Overcurrent, differential, and distance protection Selectivity and backup protection strategies
Module 13: Power Quality and Grid Stability Enhancement
Harmonics, flicker, and voltage imbalance Monitoring and mitigation techniques Role of energy storage systems Power conditioning equipment Grid code standards for quality assurance

Have Any Question?

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