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Risk-Constrained Unit Commitment of Power System Incorporating PV and Wind Farms
Author(s) -
Sajjad Abedi,
G.H. Riahy,
Seyed Hossein Hosseinian,
A. Alimardani
Publication year - 2011
Publication title -
isrn renewable energy
Language(s) - English
Resource type - Journals
eISSN - 2090-746X
pISSN - 2090-7451
DOI - 10.5402/2011/309496
Subject(s) - power system simulation , photovoltaic system , wind power , scheduling (production processes) , electric power system , time horizon , probabilistic logic , mathematical optimization , computer science , reliability engineering , environmental science , engineering , power (physics) , electrical engineering , mathematics , physics , quantum mechanics , artificial intelligence
Wind and solar (photovoltaic) power generations have rapidly evolved over the recent decades. Efficient and reliable planning of power system with significant penetration of these resources brings challenges due to their fluctuating and uncertain characteristics. In this paper, incorporation of both PV and wind units in the unit commitment of power system is investigated and a risk-constrained solution to this problem is presented. Considering the contribution of PV and wind units, the aim is to determine the start-up/shut-down status as well as the amount of generating power for all thermal units at minimum operating cost during the scheduling horizon, subject to the system and unit operational constraints. Using the probabilistic method of confidence interval, the uncertainties associated with wind and PV generation are modeled by analyzing the error in the forecasted wind speed and solar irradiation data. Differential evolution algorithm is proposed to solve the two-stage mixed-integer nonlinear optimization problem. Numerical results indicate that with indeterminate information about the wind and PV generation, a reliable day-ahead scheduling of other units is achieved by considering the estimated dependable generation of PV and wind units.

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