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Two-stage stochastic scheduling approach for AC/DC hybrid distribution system with renewable energy integration

  • 13-07-2020
  • Original Paper
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Abstract

This paper proposes a stochastic scheduling approach for AC/DC hybrid distribution system considering the output uncertainty of wind and photovoltaic. The energy coordination problem has been formulated as a two-stage resource scheduling problem. The first-stage decision produces an hourly day-ahead pre-scheduling plan for the dispatchable distributed generators. For a set of possible scenarios over the next 24 h, the second stage determines the appropriate corrective decisions to handle the output uncertainty. Besides, the scheduling model for AC/DC hybrid system belongs to the non-convex optimization problem, which is transformed into a mixed integer second-order cone programming problem by second-order cone relaxation and linearization techniques. In this way, the optimization problem can be solved effectively. The proposed model has been tested on a modified IEEE 33 bus AC/DC hybrid system. Simulation results demonstrate that the proposed two-stage stochastic scheduling model can better cope with the renewable energy uncertainty and the active and reactive power coordination scheduling can ensure the safe operation of the entire system.

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Title
Two-stage stochastic scheduling approach for AC/DC hybrid distribution system with renewable energy integration
Authors
Gang Xu
Guangchao Zhang
Publication date
13-07-2020
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 1/2021
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-020-01047-x
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