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

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

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.

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  • Qiu, Haifeng & Gu, Wei & Pan, Jing & Xu, Bin & Xu, Yinliang & Fan, Miao & Wu, Zhi, 2018. "Multi-interval-uncertainty constrained robust dispatch for AC/DC hybrid microgrids with dynamic energy storage degradation," Applied Energy, Elsevier, vol. 228(C), pages 205-214.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:205-214
    DOI: 10.1016/j.apenergy.2018.06.089
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    15. Zhou, Bo & Ai, Xiaomeng & Fang, Jiakun & Yao, Wei & Zuo, Wenping & Chen, Zhe & Wen, Jinyu, 2019. "Data-adaptive robust unit commitment in the hybrid AC/DC power system," Applied Energy, Elsevier, vol. 254(C).
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