Developed Transfer Function Allows Hydro Generators to Enter the Full Range of Ancillary Services Market
Paulius Cicėnas and
Virginijus Radziukynas
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Paulius Cicėnas: Laboratory of Smart Grids and Renewable Energy, Lithuanian Energy Institute, Breslaujos Str. 3, LT-44403 Kaunas, Lithuania
Virginijus Radziukynas: Laboratory of Smart Grids and Renewable Energy, Lithuanian Energy Institute, Breslaujos Str. 3, LT-44403 Kaunas, Lithuania
Energies, 2022, vol. 15, issue 2, 1-16
Abstract:
As the number of available renewable energy sources has increased annually, there has been a corresponding rise in the levels of pollution created by traditional electricity generation, ultimately contributing to breaking down the stability of the electrical system at large. Therefore, there is an increasing need to integrate the use of nonpolluting electricity sources, such as pumped storage hydropower plants (PSHP), to ensure the stability of the power system and to maintain the frequency of the system from year-to-year. This paper addresses the issue of PSHP being unsuitable for providing Frequency Containment Reserve (FCR) services and proposes real measurements of the aggregation approach to obtain different data arrays. Based on this, the proposed methodology is orientated toward obtaining transfer functions that were developed using the parametric identification models, and the efficiency of these functions was thoroughly investigated. The proposed transfer function in this paper, in combination with battery energy storage system (BESS) technologies, would allow PSHP technologies to occupy a space in the ancillary services market by providing FCR, Frequency Restoration Reserve (FRR), and Replacement Reserve (RR) services. The performance of the function activated in the BESS is positively validated using the Simulink modeling environment.
Keywords: pumped storage hydropower plants (PSHP); hydro power plant (HPP); frequency containment reserve (FCR); ancillary services market; frequency stability; battery energy storage systems (BESSs); virtual power plants (VPPs); parametric identification (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: 2022
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:2:p:397-:d:718832
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