TY - JOUR
T1 - Probabilistic approach for evaluating the capacity value of intermittent generation
AU - Chida, Takuji
AU - Saitoh, Hiroumi
AU - Toyoda, Junichi
N1 - Publisher Copyright:
© 2014 Wiley Periodicals, Inc.
PY - 2015/4/1
Y1 - 2015/4/1
N2 - Several approaches have been proposed for evaluating the capacity value of intermittent generation. In this paper, we assume that the uncertainty included in demand, existing generation, and intermittent generation, can be treated by means of a normal distribution model. Using a newly developed approximation method similar to the Garver approximation, and the Z-stochastic approach, the effective load carrying capability method is comprehensively surveyed. The percentile method adopted in the higher demand level is also discussed in connection with the probabilistic properties of intermittent generation. Numerical examples and a simulation illustrating the probabilistic approach are included.
AB - Several approaches have been proposed for evaluating the capacity value of intermittent generation. In this paper, we assume that the uncertainty included in demand, existing generation, and intermittent generation, can be treated by means of a normal distribution model. Using a newly developed approximation method similar to the Garver approximation, and the Z-stochastic approach, the effective load carrying capability method is comprehensively surveyed. The percentile method adopted in the higher demand level is also discussed in connection with the probabilistic properties of intermittent generation. Numerical examples and a simulation illustrating the probabilistic approach are included.
KW - ELCC
KW - capacity value
KW - intermittent generation
KW - probabilistic approach
KW - renewable energy source
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U2 - 10.1002/eej.22704
DO - 10.1002/eej.22704
M3 - Article
AN - SCOPUS:84924875419
VL - 191
SP - 7
EP - 16
JO - Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
JF - Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
SN - 0424-7760
IS - 2
ER -