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Robust optimization based self scheduling of hydro-thermal Genco in smart grids

handle: 10197/6154
This paper proposes a robust optimization model for optimal self scheduling of a hydro-thermal generating company. The proposed model is suitable for price taker Gencos which seeks the optimal schedule of its thermal and hydro generating units for a given operating horizon. The uncertainties of electricity prices are modeled using robust optimization approach to make it more practical. It considers various technical constraints like water balance and water traveling time between cascaded power stations and emission allowance. Finally, different case studies are analyzed to demonstrate the strength of the proposed model.
- University College Dublin Ireland
- University of Tehran Iran (Islamic Republic of)
- University of Tehran Iran (Islamic Republic of)
Hydro-thermal scheduling, Smart grids, Robust optimization, Uncertainty modeling
Hydro-thermal scheduling, Smart grids, Robust optimization, Uncertainty modeling
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).88 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
