Power Grid EMT Simulation with Selective State Reduction
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Solution Overview
Problem
Current EMT simulations for electrical energy networks are computationally intensive, requiring long processing times due to their detailed and dynamic nature, which hinders quick stability assessments and reactive measures in networks with increasing renewable energy sources.
Innovation Solution
A method that accelerates EMT simulations by selectively executing calculation steps based on their influence on the simulation results, using model reduction techniques such as linearization and Gram's matrix analysis, allowing for parallel processing and aborting non-influential steps, thereby reducing computing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If EMT simulations are performed with detailed dynamic models of network elements and inverter-based resources, then simulation accuracy and reliability are improved, but computing time increases significantly
Solution Approach 1:
The simulation process is divided into multiple calculation steps, where only selected steps are executed in full detail while others are simplified or skipped. This segmentation allows the system to maintain accuracy where needed while reducing overall computing time by approximately three times compared to traditional EMT simulations.
Solution Approach 2:
Instead of performing complete EMT simulation calculations for all time steps, the method applies partial action by selectively executing detailed calculations only for critical steps that significantly influence the simulation result. Non-critical steps are handled with simplified models or skipped entirely, achieving acceptable accuracy with reduced computational effort.
2Productivity
If the proportion of inverter-based resources increases in the energy system, then renewable energy generation capacity is improved, but the complexity of simulating dynamic phenomena increases
Solution Approach 1:
The simulation method dynamically adjusts the level of model detail based on the specific requirements of each calculation step. For inverter-based resources, the system applies dynamic modeling where needed while using simplified models elsewhere, allowing accurate representation of renewable energy dynamics without overwhelming computational complexity.
3Loss of time
If traditional RMS simulations are used for systems with conventional generation, then computing time is reduced, but accuracy deteriorates for systems with inverter-based resources
Solution Approach 1:
The method applies different levels of model fidelity to different parts of the simulation based on local requirements. For components and time steps where high accuracy is critical (such as inverter-based resource dynamics), detailed EMT models are used. For other parts where conventional models suffice, simpler RMS models are applied, achieving an optimal balance between accuracy and computing time.
Data Source
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AI summary
The present invention relates to a computer-implemented method for determining the grid stability of an electrical power grid, characterized by the steps of: receiving a data set with parameters for components of an electrical power grid by means of a communication device, and generating an electromagnetic transient model based on the parameters by means of a model generation device, characterized by the steps of: performing a simulation based on the model by means of a simulation device, wherein model reduction is carried out by not fully calculating states whose influence on the simulation result is below a first influence threshold and/or states that are affected by a change in the parameters by less than a second influence threshold. Furthermore, the invention relates to a corresponding arrangement and a corresponding computer program product.