Bi-Level Two-Stage Robust Optimal Scheduling for AC/DC Hybrid Multi-Microgrids

• Published in: IEEE transactions on smart grid Vol. 9; no. 5; pp. 5455 - 5466
• Main Authors: Qiu, Haifeng, Zhao, Bo, Gu, Wei, Bo, Rui
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bi-level scheduling; Electric converters; Electric power grids; Hidden Markov models; Integer programming; Linear programming; Load modeling; Microgrids; multi-microgrids; Optimal scheduling; power interaction; Production scheduling; Renewable energy sources; Robustness; Scheduling; two-stage robust optimization; Uncertainty
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2018.2806973

In view of the plurality of ac and dc microgrids connected to the power grid, this paper proposes a bi-level two-stage robust optimal scheduling model for ac/dc hybrid multi-microgrids (HMMs). In this model, the ac/dc HMM system is divided into two interest bodies, called the utility level and supply level, and two-stage robust (also called adaptive robust) optimal scheduling is carried out considering the uncertainties in each level. For the mutual interaction between the two bodies, power constraints and deviation penalties of the interaction lines are introduced in the model to realize bi-level coordinated scheduling and obtain a unified robust dispatch scheme of ac/dc HMMs. The column-and-constraint generation algorithm is used to convert the Min-Max-Min problem of each level into a two-stage mixed-integer linear programming problem, which can be solved quickly and effectively. Case studies verify the rationality and validity of the proposed model and the solving procedure.