This training course introduces participants to the handling and basic calculation functions of PowerFactory. This includes Network Modelling, Load Flow Analysis, Network Enhancement, Short-Circuit Calculation and Network Planning.
The Reliability Analysis training course provides a comprehensive introduction to the fundamental principles and practical applications of reliability calculations for network planning, using the DIgSILENT PowerFactory software.
Technical economic analyses are used to evaluate the economic feasibility of projects, investigate cash flow over the project lifetime, and compare the economic value of different network expansion strategies.
The DIgSILENT Programming Language (DPL) is a specifically developed language to be used in PowerFactory. It is commonly used to automate the execution of time consuming workflows - however, its application extends far beyond that.
During contingency analysis, the power system is simulated under a range of possible contingencies to evaluate its response and determine whether it can continue operating without violating any constraints.
Probabilistic Load Flow (PLF) is an extension of traditional (deterministic) load flow analysis that takes uncertainty into account. Instead of assuming fixed values for loads, generation, or network parameters, PLF models them as random variables with known probability distributions. This training course will cover the following examples: PLF Wind Park Analysis, PLF MV Network Planning, and Probabilistic Spare Load and Hosting Capacity.
The purpose of this training course is to introduce the fundamentals of Quasi-Dynamic Simulation (QDS), also known as time series analysis, and to provide an overview of the Quasi-Dynamic Simulation Language (QDSL) for developing load flow controllers in PowerFactory.
This training covers the following basic distribution network tools and related data models: Open Point Optimisation, Voltage Profile Optimisation, Optimal Capacitor Placement, Phase Balance Optimisation, Hosting Capacity, and Optimal Equipment Placement.
This training course provides an overview of power quality assessment, with a particular focus on harmonic distortion, and reviews the recommended practices for mitigating harmonics in power systems. It pays special attention to the power quality characteristics of converter-connected generation, such as wind or solar, and to the assessment of harmonic emissions according to IEC standards.
This training covers the following basic distribution network tools and related data models: Open Point Optimisation, Voltage Profile Optimisation, Optimal Capacitor Placement, Phase Balance Optimisation, Hosting Capacity, and Optimal Equipment Placement.
This comprehensive course is designed to provide participants with an in-depth understanding of the essential tools and techniques for analysing the integration of renewable energy sources into the power system, with a focus on inverter-based resources. Throughout the course, participants will gain valuable insight into conducting a grid compliance study and will cover a range of key topics.