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Multi-stage robust optimization of real-time dynamic dispatch with fast-acting units in resilient power systems

Xiong, Houbo, Shi, Yunhui, Shahidehpour, Mohammad, Guo, Chuangxin and Zhou, Yue ORCID: 2024. Multi-stage robust optimization of real-time dynamic dispatch with fast-acting units in resilient power systems. IEEE Transactions on Power Systems 10.1109/TPWRS.2024.3391920
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We propose a dynamic programming (DP) model for multi-stage stochastic-robust optimization (DMSR) to solve the real-time dispatch in power grids with fast-acting (FA) units for enhancing system resilience under extreme events. The proposed approach considers an offline solution and online dispatch. In the offline solution, the T-period real-time dispatch is formulated as a T -stage DMSR model, where its solution is based on an enhanced version of the fast robust dual dynamic programming (FRDDP) algorithm. In online dispatch, the mature cost-to-go functions coupling each stage are used as per-period policies to quickly direct the state adjustment of FA units and real-time dispatch decisions. In DMSR, the scenario-based technique is employed to model contingencies in the multi-stage framework, and the uncertainty set of wind power is constructed to reduce computing complexity. Case studies on the modified IEEE 14-Bus, 118-Bus and 300-Bus systems demonstrate the effectiveness of the proposed real-time dispatch method and solution methodology.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Engineering
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 0885-8950
Date of First Compliant Deposit: 28 May 2024
Date of Acceptance: 18 April 2024
Last Modified: 30 May 2024 10:10

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