Paper
25 September 2023 Two-stage robust optimal scheduling of active distribution network
Licheng Xing, Aining He, Leyuan Li
Author Affiliations +
Abstract
In view of the advantages of new energy power generation, this paper considers the influence of renewable energy access in the distribution network and the influence of load uncertainty on its operation scheduling, and constructs a two-stage robust optimal scheduling model to solve the optimal solution under extreme operation scenarios of the system. The model considers the operation constraints and control coordination of energy storage, demand side load and distributed power supply, and introduces uncertain parameters to ensure the flexibility of the scheme. By using the column constraint generation algorithm and the strong duality theory, the original problem is decomposed into the main problem and the subproblem with mixed integer linear characteristics, and the optimal solution of the original problem is obtained. Finally, the proposed model is analyzed with the IEEE33 node example, and the results show that the model is feasible and scientific.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Licheng Xing, Aining He, and Leyuan Li "Two-stage robust optimal scheduling of active distribution network", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127885Z (25 September 2023); https://doi.org/10.1117/12.3004295
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KEYWORDS
Mathematical optimization

Solar energy

Photovoltaics

Wind energy

Computer programming

Power supplies

Stochastic processes

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