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Robust distribution network reconfiguration

Journal Article · · IEEE Transactions on Smart Grid
 [1];  [2];  [3];  [4]
  1. Argonne National Lab. (ANL), Argonne, IL (United States); Northwestern University
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. Northwestern Univ., Evanston, IL (United States)
  4. Xi'an Jiaotong Univ., Xi'an (China)

We propose a two-stage robust optimization model for the distribution network reconfiguration problem with load uncertainty. The first-stage decision is to configure the radial distribution network and the second-stage decision is to find the optimal a/c power flow of the reconfigured network for given demand realization. We solve the two-stage robust model by using a column-and-constraint generation algorithm, where the master problem and subproblem are formulated as mixed-integer second-order cone programs. Computational results for 16, 33, 70, and 94-bus test cases are reported. As a result, we find that the configuration from the robust model does not compromise much the power loss under the nominal load scenario compared to the configuration from the deterministic model, yet it provides the reliability of the distribution system for all scenarios in the uncertainty set.

Research Organization:
Northwestern Univ., Evanston, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Grant/Contract Number:
SC0005102
OSTI ID:
1321134
Alternate ID(s):
OSTI ID: 1392577
Journal Information:
IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 2 Vol. 6; ISSN 1949-3053
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)Copyright Statement
Country of Publication:
United States
Language:
English

Cited By (5)

Total supply capability considering distribution network reconfiguration under N − k transformer contingency and the decomposition method journal March 2017
Stochastic optimal dispatch of PV/wind/diesel/battery microgrids using state-space approximate dynamic programming journal August 2019
Optimal operational scheduling and reconfiguration coordination in smart grids for extreme weather condition journal August 2019
Dynamic Coordinated Active–Reactive Power Optimization for Active Distribution Network with Energy Storage Systems journal March 2019
Optimal Deception Strategies in Power System Fortification against Deliberate Attacks journal January 2019

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