Frequency Response Assessment: Parameter Identification of Simplified Governor Response Models Using Historic Event Data

Autor: Zografos, D., Julia Matevosyan, Eriksson, R., Baldick, R., Ghandhari, M.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Scopus-Elsevier
Popis: With a growing share of inverter-interfaced generation in modern power systems, synchronous inertia is declining. This leads to faster frequency drop after large generation trip events. During low inertia conditions, frequency containment reserves might not be sufficient to arrest frequency before it reaches the threshold for underfrequency load shedding. It is therefore be-coming increasingly important for system operators to be able to assess frequency response in near real time. In contrast to detailed models, simplified models offer short simulation times and their parameters can be accurately identified and adapted to changing system conditions in near real time. In this paper, the parameters of governor response models are identified by minimizing the er-ror residuals between the simulation models' and the actual sys-tem's measured active power response. This is accomplished by using historic event data from two system operators: the Electric Reliability Council Of Texas (ERCOT) and the Swedish Svenska kraftnät (Svk). Then, the respective frequency response models are simulated to assess frequency response. The results show that, despite their simplicity, the models provide a very good fit com-pared to the actual response. The models of ERCOT and Svk are examined; however, a similar approach can be employed to repre-sent the frequency response of other power systems. QC 20200319
Databáze: OpenAIRE