Region-inspired distributed optimal dispatch of flexibility providers in coordinated transmission-distribution framework

Jia Liu, Zao Tang, Yikui Liu, Yue Zhou, Peter Pingliang Zeng and Qiuwei Wu

Energy, 2025, vol. 319, issue C

Abstract: To exploit the flexibility of generator-load resources for improving the whole system economy and to protect the information privacy at the transmission and distribution system operator interface, the coordinated optimal dispatch of transmission and distribution networks should be determined in a distributed manner. This paper proposes a two-stage distributed transmission-distribution dispatch method with boundary power feasible flexibility region pre-estimated and inspired to derive the distributed optimization space. In the first stage, given transmission and distribution systems are regulated by their local operators, the concept of feasible flexibility region for coordinated transmission and distribution systems consists of distribution provision feasible flexibility region and transmission desirability feasible flexibility region, which are respectively defined as the set of security-constrained boundary power operating points injected from distribution and transmission systems. The convex optimal power flow based feasible flexibility region problems for transmission and distribution systems are correspondingly formulated to identify the power flexibility ranges at the transmission-distribution interconnection bus. In the second stage, a feasible flexibility region driven distributed decision-making framework is presented to determine the dispatch solutions of flexibility resources in transmission and distribution systems, which are solved using a hierarchical loop iteration algorithm. Case studies on two coordinated transmission-distribution systems validate superior dispatch performance and high computation efficiency. Compared with existing centralized and isolated dispatch methods, results show that the region-inspired distributed dispatch method can almost yield the global optimum and respectively reduce the total costs by 1.6 % and 7.8 % in typical and critical scenarios for the smaller case. Moreover, the proposed method offers acceptable model-solving time for day-ahead dispatch independent of case scale.

Keywords: Optimal dispatch; Distributed optimization; Flexibility providers; Transmission and distribution networks; Region inspiration (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:319:y:2025:i:c:s0360544225006279

DOI: 10.1016/j.energy.2025.134985

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