On the evaluation of uncertainty cost and availability benefit of renewable energy

Yuzhou Zhou, Qiaozhu Zhai, Lei Wu, Jiang Wu, Zhanbo Xu, Hongxing Ye, Xiaojun Xie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Renewable energy benefit evaluation is the basis for solving pricing/clearing problems in the related markets. The core difficulty of such a problem is how to distinguish with the electricity benefits and the uncertainty cost brought by the integration of renewable energy. At present, some methods such as uncertainty marginal price, are used to evaluate the renewable energy uncertainty cost. However, on the one hand, problems such as transmission congestion are not considered properly in some evaluation method and thus, the evaluated reserve may not be dispatchable in the real operation. On the other hand, some methods are only valid for stochastic programming based methods. Therefore, a new evaluation method for renewable energy uncertainty cost and availability benefit is proposed in this paper. The evaluation method can obtain the uncertainty cost and benefits in overall scheduling periods. Transmission congestion is considered properly in the proposed evaluation method. Besides, the proposed method does not rely on the form of stochastic programming models, and thus is suitable for different stochastic programming models. The influence of stochastic programming models and renewable energy locations are analyzed in numerical testing, which shows the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2020 IEEE Power and Energy Society General Meeting, PESGM 2020
ISBN (Electronic)9781728155081
DOIs
StatePublished - 2 Aug 2020
Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
Duration: 2 Aug 20206 Aug 2020

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2020-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/TerritoryCanada
CityMontreal
Period2/08/206/08/20

Keywords

  • Evaluation
  • Renewable Energy
  • Stochastic Programming
  • Uncertainty Cost

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