Please join this webinar with Dr. Ulrich Muenz, head of autonomous systems and control at Siemens Technology. 1 PDH will be provided to attendees who will be tracked and proven to be in attendance for this entire webinar.

Abstract:

Reliable power system operation with 100% inverter based renewable generation is an unsolved and challenging problem. The main reason is that today’s power systems require that at least 25% of the load is supplied by synchronous generators at any time, e.g. gas turbines, steam turbines, or diesel generators, as documented in studies for Hawaii and Ireland [1][2]. One of the most challenging factors for achieving reliable operation with 100% inverter based renewable generation is dynamic security, i.e., power system stability after N-1 contingencies. This road block for high renewable generation can be overcome using Dynamic Security Optimization (DSO) technology for tuning controller parameters of generation units in order to improve the dynamic security of the power system [3][4]. In this presentation, we provide an overview of the developed technology as well as first results from our U.S. Department of Energy ARPA-E funded project with Hawaiian Electric’s, Hawaii Island Service Territory (HECO) as well as our partners Pacific Northwestern National Laboratory and OPAL-RT.
Dynamic Security Optimization continuously adapts the local controllers of both conventional and renewable generators to increase power oscillation damping and ensure power system reliability as the generation mix changes. This will be demonstrated in the course of our project in a real-time simulation of Hawai`i Island’s power system. Compared to many alternative solutions for power oscillations damping, the Dynamic Security Optimization solution does not require real-time communication and is brownfield-ready because it builds on existing controller structures and does not require a fundamental change of the control architecture.

References:
[1] J. Cole, “Oahu Distributed PV Grid Stability Study,” Hawaii Natural Energy Institute, 2016. [Online]. Available: https://www.hnei.hawaii.edu/projects/oahu-distributed-pv-grid-stability-study.
[2] “Annual Renewable Energy Constraint and Curtailment Report,” EIRGRID and SONI. [Online]. Available: http://www.eirgrid.ie/site-files/library/EirGrid/Annual-Renewable-Constraint-and-Curtailment-Report-2016-v1.0.pdf.
[3] A. Mešanović, D. Unseld, U. Münz, C. Ebenbauer, and R. Findeisen, “Parameter tuning and optimal design of decentralized structured controllers for power oscillation damping in electrical networks,” in 2018 Annual American Control Conference (ACC), 2018, pp. 3828–3833.
[4] A. Mešanović, U. Münz, J. Bamberger, and R. Findeisen, “Controller Tuning for the Improvement of Dynamic Security in Power Systems,” in 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2018, pp. 1–6.

Thursday, January 21, 2021
4:50 pm  |  (UTC-04:00) Eastern Time (US & Canada)  |  2 hrs

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