IEEE POWER & ENERGY SOCIETY
IEEE Power & Energy Society Live Online Learning
Topic: Open Energy Data Initiative for Solar Data and Analytics
Presented by: M. Kemal Celik, DOE/ Solar Energy Technologies Office
With increasing penetrations of PV generation (including other distributed energy resources), future distribution systems, which will be governed by faster dynamics and complex dispatch mechanisms, requiring novel estimation and control of distribution-located assets. Open Energy Data Initiative – System Integration (OEDI-SI) is currently developing key software tools, datasets novel distribution state estimation, control optimization, and transient event analyses. This initiative will enable users to have access to open-source data and algorithms along with ability to incorporate user-specific data to perform distribution-level analyses. More specifically, the focus of the effort is on developing distribution system state estimation (DSSE), distribution optimal power flow (D-OPF), and transient event analysis. In this tutorial we will provide an overview and hands-on training on utilizing the tools developed in OEDI-SI by multiple National Labs and DOE.
Kemal Çelik joined the Systems Integration team in 2015. He started working at PG&E in San Francisco after completing his graduate studies in 1991. He worked as a Vice President of Product Management at Nexant for 18 years until recently moving to D.C. Kemal has more than 25 years of professional experience working on a wide range of projects from analytical electric distribution and transmission network applications to web-based demand-side management applications, energy market solutions and distribution planning tools. He worked on electric utility control center applications as well as computer modeling, coding, and implementation of analytical algorithms for power transmission and distribution networks. Kemal managed the development and implementation of several enterprise applications for demand-side management and energy efficiency programs at several different utilities; transmission revenue auction markets at Independent System Operators across the U.S.; and most recently a quasi-static time series near real-time analysis tool for distribution networks.