Power trading region considering long-term contract for interconnected power networks

Shuo Liu, Zhifang Yang, Qing Xia, Wei Lin, Lianjun Shi and Dan Zeng

Applied Energy, 2020, vol. 261, issue C, No S0306261919320987

Abstract: The identification of an exact power trading region is crucial for the optimal utilization of power resources among interconnected regional networks. However, existing studies generally ignore the link between the long-term and day-ahead electricity markets, which threatens the secure and economic operation of power systems. This paper proposes a method to identify the unified power trading region in the day-ahead electricity market precisely, considering the long-term power contract. This unified power trading region describes the feasible regions of both tie-line power transmission and power contract execution. Furthermore, the source and sink regional networks can be considered uniformly by the proposed power trading region. All day-ahead and long-term contract constraints are preserved via multi-parametric programming analysis. Moreover, the influence of the long-term contract in the day-ahead market is revealed from a new perspective. On this basis, a non-iterative decentralized multi-area market-clearing model is proposed that is compatible with the existing decentralized clearing framework. Finally, the exact convex relaxation formulation of the proposed multi-area market-clearing model is derived.

Keywords: Power trading region; Long-term and day-ahead markets; Multi-area market clearing; Convex relaxation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.apenergy.2019.114411

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