Capacity Value from Wind and Solar Sources in Systems with Variable Dispatchable Capacity—An Application in the Brazilian Hydrothermal System

Nilton Bispo Amado, Erick Del Bianco Pelegia and Ildo Luís Sauer
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Nilton Bispo Amado: Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo CEP 05508-010, Brazil
Erick Del Bianco Pelegia: Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo CEP 05508-010, Brazil
Ildo Luís Sauer: Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo CEP 05508-010, Brazil

Energies, 2021, vol. 14, issue 11, 1-26

Abstract: The most robust methods to determine the capacity contribution from intermittent sources combine load curve, variable generation profile, and dispatchable generators’ data to calculate any new inserted variable source’s capacity value in the power system. However, these methods invariably adopt the premise that the system’s dispatchable generators’ capacity is constant. That is an unacceptable limitation when the energy mix has a large share of hydroelectric sources. Hydroelectric plants are dispatchable sources with variable maximum power output over time, varying mainly according to the reservoirs’ level. This article develops a method that makes it possible to calculate the capacity value from renewable resources when the dispatchable generation units of an electric system have variable capacity. The authors apply the method to calculate the capacity value from solar and wind sources in Brazil as an exercise. By abandoning the hypothesis of constant dispatchable capacity, the developed approach is in principle extensible for other energy-limited resources, such as batteries and concentrating solar power (CSP). This can be a strategy to incorporate energy-limited capacity sources into the planning and operation models as reliable capacity sources.

Keywords: capacity value; capacity credit; intermittent generation; capacity contribution; hydropower; variable dispatchable capacity; effective load carrying capability (ELCC); loss of load probability (LOLP); loss of load expectation (LOLE) (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 (2)

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