Scenario adjustable scheduling model with robust constraints for energy intensive corporate microgrid with wind power
Kun Liu and
Feng Gao
Renewable Energy, 2017, vol. 113, issue C, 1-10
Abstract:
With the development of wind power technology, wind power integration supplies an effective and practical way to decrease production cost for energy intensive corporate microgrid. Then the scenario adjustable scheduling model with robust constraints is built in this paper. In this model, both energy cost and wind power utilization are taken into account. Moreover, the objective is to minimize the electricity cost which is formulated by scenario tree and the wind power utilization is formulated as a robust constraint. In addition, the capacity of wind power accommodation is also analyzed. Finally, a corporate microgrid is tested. The results show that the capacity of wind power accommodation with 15% flexible load is increased 11.52% which is 5.23% more than that without re-scheduling process. And the energy expected cost with re-scheduling process is 715823$ which is 4.69% less than that without re-scheduling process.
Keywords: Pre-scheduling; Virtual re-scheduling; Adjustable scheduling; Robust constraints (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:113:y:2017:i:c:p:1-10
DOI: 10.1016/j.renene.2017.05.056
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