Xiong, Houbo, Shi, Yunhui, Shahidehpour, Mohammad, Guo, Chuangxin and Zhou, Yue ![]() 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 |
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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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