Risk-averse decision under worst-case continuous and discrete uncertaintiesin transmission system with the support of active distribution systems br

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Ahmad Nikoobakht (Author) Other; Jamshid Aghaei (Author) Other; Miadreza Shafie-khah (Author) Other; João P. S. Catalão (Author) FEUP

Journal

Title: International Journal of Electrical Power and Energy Systems

Vol. 138

Pages: 1-13

ISSN: 0142-0615

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-00V-ZQ4

DOI: 10.1016/j.ijepes.2021.107913

Abstract (EN): Nowadays, risk-averse management is a principal concern for transmission system (TS) operator that involvedifferent types of uncertainty including continuous uncertainties (e.g., wind energy uncertainty) and discreteuncertainties (e.g., generator/line outages). In this condition, risk-averse decision making for managing theseuncertainties are extremely complex, and the complexity is more amplified by the worst-case uncertainties.Accordingly, in this study a novel contingency-constrained information gap decision theory (CC-IGDT)approach has been proposed to cope with worst-case continuous and discrete uncertainties. Also, activedistribution systems (ADSs) with distributed energy resources are important components in a TS, and canplay an important role in addressing the issue of risk-averse management for TS operator. Therefore, in thisstudy a coupled operation model for the TS & ADSs with the CC-IGDT approach has been proposed. But, solveproposed coupled operation model is problematic, thus, to solve this problem a new four-level hierarchicaloptimization technique has been proposed. Finally, the IEEE 30-bus transmission and IEEE 33-bus distributionsystems have been analyzed to show the effectiveness of the proposed CC-IGDT approach and the co-operationof TS & ADSs.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13