Battery Energy Storage Contribution to System Adequacy

Pantelis A. Dratsas, Georgios N. Psarros and Stavros A. Papathanassiou
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Pantelis A. Dratsas: School of Electrical and Computer Engineering, Zografou Campus, 9, Iroon Polytechniou str, National Technical University of Athens (NTUA), Zografou, 15780 Athens, Greece
Georgios N. Psarros: School of Electrical and Computer Engineering, Zografou Campus, 9, Iroon Polytechniou str, National Technical University of Athens (NTUA), Zografou, 15780 Athens, Greece
Stavros A. Papathanassiou: School of Electrical and Computer Engineering, Zografou Campus, 9, Iroon Polytechniou str, National Technical University of Athens (NTUA), Zografou, 15780 Athens, Greece

Energies, 2021, vol. 14, issue 16, 1-22

Abstract: The objective of this paper is to evaluate the contribution of energy storage systems to resource adequacy of power systems experiencing increased levels of renewables penetration. To this end, a coherent methodology for the assessment of system capacity adequacy and the calculation of energy storage capacity value is presented, utilizing the Monte Carlo technique. The main focus is on short-duration storage, mainly battery energy storage systems (BESS), whose capacity values are determined for different power and energy configurations. Alternative operating policies (OPs) are implemented, prioritizing system cost or reliability, to demonstrate the significant effect storage management may have on its contribution to system adequacy. A medium-sized island system is used as a study case, applying a mixed integer linear programming (MILP) generation scheduling model to simulate BESS and system operation under each OP, in order to determine capacity contribution and overall performance in terms of renewable energy sources (RES) penetration, system operating cost and BESS lifetime expectancy. This study reveals that BESS contribution to system adequacy can be significant (capacity credit values up to ~85%), with energy capacity proving to be the most significant parameter. Energy storage may at the same time enhance system reliability, reduce generation cost and support RES integration, provided that it is appropriately managed; a combined reliability-oriented and cost-driven management approach is shown to yield optimal results.

Keywords: battery energy storage; resource adequacy; capacity value; Monte Carlo; generation management (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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