The Impact of Aging-Preventive Algorithms on BESS Sizing under AGC Performance Standards

Cristobal Morales, Augusto Lismayes, Hector Chavez, Harold R. Chamorro and Lorenzo Reyes-Chamorro
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Cristobal Morales: Departamento de Ingenieria Electrica, Universidad de Santiago de Chile, Estación Central, Santiago 9170197, Chile
Augusto Lismayes: Departamento de Ingenieria Electrica, Universidad de Santiago de Chile, Estación Central, Santiago 9170197, Chile
Hector Chavez: Departamento de Ingenieria Electrica (Innovative Energy Technologies Center, INVENT UACh), Universidad de Santiago de Chile, Estación Central, Santiago 9170197, Chile
Harold R. Chamorro: KTH, Royal Institute of Technology, SE-100 44 Stockholm, Sweden
Lorenzo Reyes-Chamorro: Facultad de Ciencias de la Ingeniería (Innovative Energy Technologies Center, INVENT UACh), Institute of Electricity and Electronics, Universidad Austral de Chile, Valdivia 5110566, Chile

Energies, 2021, vol. 14, issue 21, 1-13

Abstract: It is normally accepted that Battery Energy Storage Systems improve frequency regulation by providing fast response to the Automatic Generation Control. However, currently available control strategies may lead to early Energy Storage Systems aging given that Automatic Generation Control requirements are increasing due to zero carbon power generation integration. In this sense, it is important to analyze the aging phenomena in order to assess the technical–economical usefulness of Battery Energy Storage Systems towards zero carbon power systems. In order to avoid early aging, various proposals on aging-reducing algorithms can be found; however, it is unclear if those aging-reducing algorithms affect the performance of Battery Energy Storage Systems. It is also unclear whether those effects must be internalized to properly dimension the capacity of Battery Energy Storage Systems to both comply with performance standards and to prevent early aging. Thus, this paper estimates the storage capacity of a Battery Energy Storage Systems to comply with Automatic Generation Control performance standard under aging-reducing operating algorithms by dynamics simulations of a reduced-order, empirically-validated model of the Electric Reliability Council of Texas. The results show the relationship between the required performance of Automatic Generation Control and Battery Energy Storage System capacity, considering a 1-year simulation of Automatic Generation Control dynamics. It can be concluded that the compliance with performance standards is strongly related to the storage capacity, regardless of how fast the device can inject or withdraw power from the grid. Previous results in the state-of-the-art overlook the quantification of this relationship between compliance with performance standards and storage capacity.

Keywords: Energy Storage System; Automatic Generation Control; BESS sizing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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