A Chance Constrained Information-Gap Decision Model for Multi-Period Microgrid Planning

This paper presents a chance constrained information gap decision model for multi-period microgrid expansion planning (MMEP) considering two categories of uncertainties, namely random and non-random uncertainties. The main task of MMEP is to determine the optimal sizing, type selection, and installa...

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Veröffentlicht in:	IEEE transactions on power systems 2018-05, Vol.33 (3), p.2684-2695
Hauptverfasser:	Cao, Xiaoyu, Wang, Jianxue, Zeng, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Benders decomposition bilinear Benders decomposition Capacity planning chance constrained program Computational modeling Computing time Constraints Decision theory Distributed generation Energy sources Engineering information gap decision theory Integer programming Investment Load modeling Mathematical models Microgrid Microgrids Mixed integer multi-period expansion planning Planning Robustness (mathematics) Uncertainty
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