Probabilistic approach for evaluating the capacity value of intermittent generation

Takuji Chida, Hiroumi Saitoh, Junichi Toyoda

Research output: Contribution to journalArticle

Abstract

The several approaches have been proposed for evaluating the capacity value of intermittent generation by now. In this paper, we assume the uncertainty included in the demand, the existing generation and the intermittent generation, can be treated through the normal distribution model. By using the newly developed approximating method similar to the Garver approximation, and the Z-stochastic approach, the ELCC (effective load carrying capability) method is comprehensively surveyed. The percentile method adopting in the higher demand level is also discussed concerning the probabilistic property of the intermittent generation. Numerical examples and the simulation for illustrating the probabilistic approach are included.

Original languageEnglish
Pages (from-to)16-23+3
JournalIEEJ Transactions on Power and Energy
Volume134
Issue number1
DOIs
Publication statusPublished - 2014 Jan 13

Keywords

  • Capacity value
  • ELCC
  • Intermittent generation
  • Probabilistic approach
  • Renewable energy source

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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