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: https://orcid.org/0000-0002-6698-4714 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 Item availability restricted.

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Abstract

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
URI:	https://orca.cardiff.ac.uk/id/eprint/168849

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