Risk-limiting power grid control with an ARMA-based prediction model

Masahiro Ono, Ufuk Topcu, Masaki Yo, Shuichi Adachi

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

This paper is concerned with the risk-limiting operation of electric power grids with stochastic uncertainties due to, for example, demand and integration of renewable generation. The main contribution is incorporating autoregressive- moving-average (ARMA) type prediction models for the underlying uncertainties into chance-constrained, finitehorizon optimal control. This uncertainty model leads to a more (compared to existing work in literature) careful treatment of correlation in time which is significant especially in renewable generation yet has attracted limited attention. The paper first discusses how the resulting chance-constrained optimization problems can be solved computationally and demonstrates the effects of the use of the proposed prediction models through simulation-based case studies with realistic data.

本文言語English
ホスト出版物のタイトル2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4949-4956
ページ数8
ISBN(印刷版)9781467357173
DOI
出版ステータスPublished - 2013
イベント52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
継続期間: 2013 12 102013 12 13

出版物シリーズ

名前Proceedings of the IEEE Conference on Decision and Control
ISSN(印刷版)0191-2216

Other

Other52nd IEEE Conference on Decision and Control, CDC 2013
国/地域Italy
CityFlorence
Period13/12/1013/12/13

ASJC Scopus subject areas

  • 制御およびシステム工学
  • モデリングとシミュレーション
  • 制御と最適化

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