IEEE Metropolitan Los Angeles Section Power & Energy Society Chapter

Topic: Power System Transient Stability Analysis – PSS/E and PSLF Presented by: John Undrill, PhD, Arizona State University This webinar: Sixty years of computer development have allowed the capacity of power system dynamic simulation programs to advance from a few dozen buses to several tens of thousands. More importantly, advances in testing of power plant and load equipment have established strong understanding of where simulations are a reliable indicator of expected behavior, and where they must (still) be used with care. The management of data for large scale simulations continues to be of concern. While confidence in simulations of ‘conventional’ switch-connected equipment is well supported by observed system behavior, simulations of electronically connected load and generation must still be examined closely. It is clear that the capabilities of fundamental frequency simulations and of electromagnetic transient simulations will merge as computing capability continues to advance. It is also clear that the assembly and maintenance of simulation data bases will be a persistent and significant challenge. Presenter bio: John Undrill has worked on the dynamics of electric power systems with General Electric, Power Technologies Incorporated, and Electric Power Consultants Incorporated. In recent years he has been a Research Professor at Arizona State University. His work has included both the development of dynamic simulation programs and testing to support dynamic modeling; it has involved power transmission, hydro electric power plants, and large gas turbines. Undrill was responsible for the initial development of the PSS/2 and PSS/E programs at PTI, and for the PSLF program at EPCI. John Undrill received BE and PhD degrees from the University of Canterbury. (New Zealand) He is a Fellow of the IEEE and a member of the National Academy of Engineering. He is a Life Member of the IEEE.

Topic: Graph Database and Graph Computing for Power System Analysis Presented by: Renchang Dai, PhD, Puget Sound Energy This webinar: The worldwide accelerating decarbonization of energy systems requires a rising penetration of renewable energy, distributed energy, and energy storage, making the power system ever large and more complex. To make the large, complex, and dynamic power system secure and cost-effective, accurate and fast analysis are crucial. To address the increasing needs for computational efficiency in both steady-state and dynamic power system analyses, we have developed an innovative graph computing technology based on a graph database, which will be presented in this webinar. This graph-based approach closely aligns with the nature of power systems, as the graph data structure inherently represents the power network’s topology and the connectivity of its components. In this webinar, we will deep dive into the concept and methodology of graph nodal and hierarchical parallelism. Additionally, we will explore how graph computing technologies can be effectively applied to power system analysis, including steady-state analysis, transient simulation, and operation optimization. Presenter Bio: Renchang Dai, PhD, is a Consulting Engineer and Project Manager at Puget Sound Energy. He received his Ph.D. degree in Electrical Engineering from Tsinghua University, China, in 2001. Dr. Dai has worked on a variety of power system problems, including power system planning, operations, and control. He was a Principal Engineer and Group Manager for Global Energy Interconnection Research Institute North America, where he led a team of engineers in researching and developing graph database and graph computing technologies for power system planning and operations. Dr. Dai was a team leader for GE Energy. In GE Energy, he designed, developed, and implemented Energy Management System. He was also a founding member of the GE Energy Consulting Smart Grid Center of Excellence, where he consulted on smart grid deployment and renewable energy grid integration projects. In 2005, when he was a lead scientist in GE Global Research, he was awarded the GE Global Technical Award for his contributions to the development of wind turbine generator fault ride-through technology. Dr. Dai is a Senior Member of the IEEE.