Multi-interval-uncertainty constrained robust dispatch for AC/DC hybrid microgrids with dynamic energy storage degradation

Haifeng Qiu, Wei Gu, Jing Pan, Bin Xu, Yinliang Xu, Miao Fan and Zhi Wu

Applied Energy, 2018, vol. 228, issue C, 205-214

Abstract: Multiple uncertainties have brought great challenges to the optimal dispatch of microgrids (MGs). Considering the uncertainties of renewable energy generation and load power in AC/DC hybrid MGs, this paper proposes a multi-interval-uncertainty (MIU) constrained robust dispatch model, in which the uncertainty budget is rationally divided according to the distribution probabilities to improve the over-conservativeness of traditional robust models. To understand how the charge/discharge rate and the state of charge influence the degradation of energy storage (ES), a dynamic energy storage degradation (DESD) model is also proposed to accurately calculate the degradation cost of ES. The nonlinear DESD model is linearized by the surface linearization and big-M methods. To address the min–max-min robust model with a mixed-integer recourse problem, a nested column-and-constraint generation algorithm is adopted to quickly obtain the minimum operating cost in the worst-case scenario. The rationality and validity of the MIU constrained robust dispatch model, the DESD model, and the solving method are verified in comparative case studies.

Keywords: AC/DC hybrid microgrids; Dynamic degradation; Multi-interval-uncertainty; Robust dispatch (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (18)

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DOI: 10.1016/j.apenergy.2018.06.089

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