A robust distributed market-clearing model for multi-area power systems. (January 2021)

• Record Type: Journal Article
• Authors: Bagheri, Abed; Jadid, Shahram
• Is Part Of: International journal of electrical power & energy systems. Volume 124(2021)
• Publication Date: 2021-01
• Subjects: Multi-area power system -- Energy trading -- Distributed market-clearing -- Robust programming; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.106275
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Proposing a new fully distributed market-clearing model for multi-area power systems. Preserving privacy aspects of data through a minimal data interchange scheme. Employing a robust optimization approach to confronting demand and wind uncertainties. Abstract: The importance of cross-border electricity trading is common knowledge in the modern energy markets. As proved in different studies, a centralized market structure has the most efficiency in the profit maximization point of view. However, it is not possible to make a centralized decision-making structure, owing to the privacy of data for each area, and the large-scale problem should be solved. In this paper, a new market-clearing scheme is proposed for multi-area power systems, including both traditional and renewable power generation units based on the Optimality Condition Decomposition (OCD) approach. The proposed framework needs neither coordination nor monitoring entities and uses a small number of data that should be interchanged between the areas. Also, a Single-Stage Robust Programming method is used to tackle the general uncertainties of the large-scale power systems, such as load consumption profiles and wind units' generations. Finally, the proposed structure is tested through simulating on a standard three-area test case, and the efficacy, adequacy, and accuracy of the results are confirmed using various analyses.