GPST/ESIG Webinar: CIGRE Green Book "Power System Dynamic Modelling & Analysis in Evolving Networks”

Featured Speakers: Babak Badrzadeh, Managing Director, Etik Energy; Zia Emin, Technical Executive, EPRI About the Webinar: This webinar will provide a summary of all chapters of the CIGRE Green Book on Power System Dynamics Modelling and Analysis in Evolving Networks and then will focus on more detailed presentation of selected topics as follows: Introduce the importance of, and the need for, revisiting classical power system stability analysis concepts and textbooks. Discuss different classes and sub-classes of power system stability, with a focus on considerations when performing power system dynamic analysis under high inverter-based resource (IBR) penetration scenarios. Practical experiences of various forms of power system instability are also presented. Provide discussion of various dynamic modelling approaches including phasor-domain and electromagnetic transient programs and types of power system dynamic simulation software programs ranging from highly detailed to simplified screening. The use of screening methods and the applications of power system dynamic modelling and other tools for operational decision-making are presented in detail. Discuss different types of models and the necessary level of detail for each to ensure sufficient accuracy whilst respecting practical limitations. Power system components covered include generation technologies such as synchronous machines and IBR, HVDC systems, loads and distributed energy resources (DER) and wide-area network modelling including protection systems. Present dynamic studies typically conducted in power systems with a high penetration of power electronic interfaced devices. Grid interconnection studies for IBRs, HVDC systems, and FACTS controllers, and power system dynamic studies for operational and planning applications are presented. These include assessing and mitigating contemporary electromechanical oscillations and emerging electrical oscillations and control interactions. The impact of protective functions on power system dynamic performance, and studies of industrial power systems and microgrids are also presented. Focus on ensuring high-quality, accurate and up-to-date dynamic models for power system plants and the overall system. This spans model acceptance testing during early stages of plant development, to model validation where a mature design has been accomplished, and the plant is already connected and commissioned. Recognizing the need to analyze a higher volume of data with higher accuracy and speed for increasingly complex equipment and power system responses, the last part discusses contemporary enablers for power system dynamic analysis. It first discusses artificial intelligence (AI) and machine learning-based methods and cloud-based computing and then introduces the use of probabilistic analysis and optimization techniques and elaborates on the importance of interoperability and standardization.