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Networked Microgrids Planning Through Chance Constrained Stochastic Conic Programming

Journal Article · · IEEE Transactions on Smart Grid
Herein this paper presents a chance constrained stochastic conic program model for networked microgrids planning. Under a two-stage optimization framework, we integrate a multi-site microgrids investment problem and two sets of operational problems that correspond to the grid-connected and islanding modes, respectively. To handle the uncertain nature of renewable energy generation and load variation, as well as the contingent islanding caused by external disruptions, stochastic scenarios are employed to capture randomness and a joint chance constraint is introduced to control the operational risks. A second-order conic program (SOCP) formulation is also utilized to accurately describe the AC optimal power flow (OPF) in operational problems. As the resulting mixed integer SOCP model is computationally difficult, we customize the bilinear Benders decomposition with non-trivial enhancement techniques to deal with practical instances. Numerical results on 5- and 69-bus networked microgrids demonstrate the effectiveness of the proposed planning model and the superior performance of our solution algorithm.
Research Organization:
Clarkson Univ., Potsdam, NY (United States)
Sponsoring Organization:
China Scholarship Council; Key Research and Development Program of Shaanxi; National Science Foundation (NSF); USDOE Office of Electricity (OE)
Grant/Contract Number:
OE0000842
OSTI ID:
1870059
Alternate ID(s):
OSTI ID: 1801328
Journal Information:
IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 6 Vol. 10; ISSN 1949-3053
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

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