A Novel Method to Integrate Hydropower Plants into Resource Adequacy Assessment Studies

Christiana I. Kostaki, Pantelis A. Dratsas (), Georgios N. Psarros (), Evangelos S. Chatzistylianos and Stavros A. Papathanassiou
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Christiana I. Kostaki: School of Electrical and Computer Engineering, Zografou Campus, National Technical University of Athens (NTUA), 9, Iroon Polytechniou Str., Zografou, 15780 Athens, Greece
Pantelis A. Dratsas: School of Electrical and Computer Engineering, Zografou Campus, National Technical University of Athens (NTUA), 9, Iroon Polytechniou Str., Zografou, 15780 Athens, Greece
Georgios N. Psarros: School of Electrical and Computer Engineering, Zografou Campus, National Technical University of Athens (NTUA), 9, Iroon Polytechniou Str., Zografou, 15780 Athens, Greece
Evangelos S. Chatzistylianos: School of Electrical and Computer Engineering, Zografou Campus, National Technical University of Athens (NTUA), 9, Iroon Polytechniou Str., Zografou, 15780 Athens, Greece
Stavros A. Papathanassiou: School of Electrical and Computer Engineering, Zografou Campus, National Technical University of Athens (NTUA), 9, Iroon Polytechniou Str., Zografou, 15780 Athens, Greece

Energies, 2024, vol. 17, issue 17, 1-22

Abstract: This paper presents a novel methodology for modeling hydropower plants (HPPs) with and without pumping capability in resource adequacy assessment studies. The proposed method is based on the premise that HPPs should maximize their contribution to system adequacy within their technical constraints by using the energy reserves in their upper reservoirs without significantly deviating from their market schedule. The approach of this paper differs from the conventional operating policies for incorporating HPPs into resource adequacy assessment studies, which either adhere to a fixed market schedule or perform peak shaving, and are inelastic to real-time events or do not resort to realistic temporal correlations between natural water inflows on upper reservoirs and the water discharge needs to cover demand peaks, respectively. The modeling approach focuses on large-reservoir HPPs with natural inflows and is generic enough to deal with both stations incorporating pumping capabilities and those without. It utilizes the state-of-the-art Monte Carlo simulation technique to form the availability of system assets and determine the loss of load incidents. The market schedule and level of reservoir fulfillment for the HPPs are retrieved from a cost-optimal power system simulation algorithm executed offline before the application of the resource adequacy assessment. The effectiveness of the proposed methodology is demonstrated through its implementation in a case study of a power system experiencing different levels of adequacy, comparing the obtained results with various traditional HPP modeling methods from the literature.

Keywords: resource adequacy; hydropower plants; Monte Carlo; real-time redispatch; capacity value (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: 2024
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