Jul 13, 2023 | Blog

EnerNex Presenting at the IEEE PES General Meeting 2023

by | Jul 13, 2023 | Blog

David Mueller, Jens Schoene, Chandra Pallem, and Mariana Kamel will present at the 2023 IEEE PES General Meeting next week. We are excited to present on the following topics and look forward to engaging in conversations with our colleagues in the industry.

Tuesday, July 18, 4:00 PM – 5:00 PM
Mariana Kamel will speak on transmission and distribution to the Power Quality Interest Group.
Located at Bayhill 28

Thursday, July 20, 8:00 AM – 10:00 AM
David Mueller and Chandra Pallem will present on a panel session: “Harmonics Modeling and Simulation of Large Wind and Solar Power Plants.
Located in room Celebration 2

Harmonics assessment is essential for large wind and solar power plants’ connection to the transmission grid. This relies upon harmonic modeling and simulation studies. The panel will address various aspects of the requirements for accurate harmonic modeling characteristics of inverter-based resources (IBRs) in the framework of the IEEE Standards development (e.g. 519.2, 1457, P2800.2).

Thursday, July 20, 8:00 AM – 10:00 AM
Jens Schoene will present on a panel session: “Data-Driven Distribution System State Estimation: Challenges and Solutions.
Located in room Celebration 16

With the increasing penetration of DERs and responsive loads, the development of a reliable and resilient power distribution system has become one of the main research topics. However, the stochastic nature of these new active resources along with the insufficient sensing, communication, and management capabilities of existing legacy distribution systems bring serious challenges for their planning, monitoring, operation, and control. Current power distribution systems have very limited visibility beyond the HV/MV substations and the primary feeders. This panel aims to discuss thoroughly the challenges and potential ways of using all types of data for more accurate distribution system state estimation (DSSE). Practical experiences on data driven DSSE implementations will be shared.


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