Events

NOTE: This is a Hybrid Event, with the University of Tennessee Knoxville (UTK) Student Chapter hosting the lecture in-person on campus, and the IEEE East Tennessee PES/PELS Joint Chapter hosting the event online via WebEx. For online registrants, WebEx link will be shared on the evening before the event after the registrations close at 5 PM EST. Abstract: The power systems at present are principally characterised with large and ever increasing presence of variable and intermittent converter connected renewable energy sources (RES). This will be even more the case with future power systems. They will be further characterised by blurred boundaries between transmission and distribution system, by mix of wide range of electricity generating technologies (conventional hydro, thermal, nuclear and power electronic interfaced stochastic and intermittent renewable generation), responsive and highly flexible, typically power electronics interfaced, demand and storage with significant temporal and spatial uncertainty, proliferation of power electronics (HVDC, FACTS devices and new types of load devices) and significantly higher reliance on the use of measurement data including global (Wide Area Monitoring) signals for system identification, characterization and control and Information and Communication Technology embedded within the power system network and its components. The integration of variable renewable generation, converter connected generation in particular, leads to conventional synchronous generators being displaced, hence the total inertia of the system will be reduced. This in turn affects system dynamic performance by: i) Changing the flows on major tie-lines, which may in turn affect damping of inter-area modes and transient stability margins; ii) Displacing large synchronous generators, which may in turn affect the mode shape, modal frequency, and damping of electromechanical modes of rotor oscillations; iii) Influencing/affecting the damping torque of nearby synchronous generators, similar to the manner in which flexible ac transmission (FACTS) devices influence damping (reflected in changes in the damping of modes that involve those synchronous generators); iv) Displacing synchronous generators that have crucial power system stabilizers. In order to successfully control such complex system its parts and components and to ensure its stability and security at acceptable cost, the system modelling and analysis need to cater for significantly increased uncertainties, both in terms of model uncertainties and operational uncertainties, and for efficient knowledge extraction from large amount of data coming from different types of local and wide area distributed data acquisition devices and monitors. This presentation focuses on new appriach to modelling of RES to meet the above challenges, the impact of RES on system dynamics and gives and discusses the examples of probabilistic stability studies of power systems with RES. Room: 124, Bldg: Min H. Kao Building, 1520 Middle Drive, Knoxville, Tennessee, United States, 37996, Virtual: https://events.vtools.ieee.org/m/556745

WebEx link will be shared on the evening before the event after the registrations close at 5 PM EST. Abstract: OpenDSS is an open-source electric power distribution system simulator used by utilities, researchers, and engineers worldwide. It supports a wide range of studies — from power flow and short-circuit analysis to time-series (QSTS) simulations, harmonics, hosting capacity analysis, DER integration, and interconnection screening. With over 200,000 downloads globally, it has become one of the most widely used tools in distribution system analysis. This workshop provides both a foundational introduction to OpenDSS and a hands-on demonstration of how to control it programmatically using Python. The first part covers what OpenDSS is, what it is used for, its key simulation capabilities, and a practical walkthrough of a typical simulation workflow. The second part demonstrates Python-based control of OpenDSS through py-dss-interface — a package with over 100,000 downloads — and py-dss-toolkit, which provides higher-level abstractions for structured simulation workflows, model access, result extraction, and interactive visualization. Participants will leave with a clear picture of how Python transforms OpenDSS from a standalone simulator into a fully programmable engineering platform. Virtual: https://events.vtools.ieee.org/m/556895