A Risk-Averse Conic Model for Networked Microgrids Planning With Reconfiguration and Reorganizations

Cao, Xiaoyu; Wang, Jianxue; Wang, Jianhui; Zeng, Bo

doi:10.1109/tsg.2019.2927833

A Risk-Averse Conic Model for Networked Microgrids Planning With Reconfiguration and Reorganizations

Journal Article · Wed Jul 10 00:00:00 EDT 2019 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/tsg.2019.2927833· OSTI ID:1870060

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Xi'an Jiaotong Univ., Shaanxi (China); Clarkson University
Xi'an Jiaotong Univ., Shaanxi (China)
Southern Methodist Univ., Dallas, TX (United States)
Univ. of Pittsburgh, PA (United States)

The advanced switching techniques enable the topology reconfiguration of microgrids (MGs) in active distribution network. Here, we enhance and generalize the traditional reconfiguration strategy resorting to the concept of “dynamic MGs” (i.e., the reorganization of MGs boundaries), to achieve a higher operational feasibility against the emergency islandings. Also, a risk-averse two-stage mixed integer conic program model is presented to support the networked MGs planning with generalized reconfiguration decisions. The MGs capacity expansion and seasonal reconfiguration decisions are made in the first stage, and validated under stochastic islanding scenarios in the second stage, where the network operations are captured by a second-order conic program (SOCP). Furthermore, a conditional value-at-risk (CVaR) measure is involved to quantitatively control the islanding risks. By theoretically proving the strong duality of the SOCP subproblem, we develop and customize Benders decomposition method with the guaranteed finite convergence to the optimal value. Finally, numerical results on 33- and 56-bus networked MGs validate the effectiveness of proposed reconfiguration strategy as well as planning approach. Our method demonstrates a cost-saving up to 22.56% when comparing to the traditional scheme with fixed MGs boundaries.

View Accepted Manuscript (DOE)

Research Organization:: Clarkson Univ., Potsdam, NY (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE); Key Research and Development Program of Shaanxi; National Science Foundation (NSF)

Grant/Contract Number:: OE0000842

OSTI ID:: 1870060

Alternate ID(s):: OSTI ID: 1801329

Journal Information:: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 1 Vol. 11; ISSN 1949-3053

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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