The paper describes a new class of system identification procedures that are tailored to electric power systems with renewable sources. Our procedure builds on computational advances in differential geometry, and offers a new, global, intrinsic characterization of challenges frequently encountered in system identification of electric power systems. The approach also benefits from increased availability of high-quality measurements. While the proposed procedure is illustrated on renewable source IEEE 14-bus based example in a multi-machine benchmark power system, it is equally applicable to identification of other system components (for example, dynamic loads).
['Mark K. Transtrum', 'Andrija T. Saric', 'Alex M. Stankovic']
Information geometry for model verification in energy systems