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.
Published Version
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