A study on unit commitment taking uncertainties in forecast of renewable energy outputs into consideration

Author(s): Eiji Nishiura, and Ryuji Matsuhashi
The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo 113-8654, Japan
International Journal of Smart Grid and Clean Energy, vol. 8, no. 4, July 2019: pp. 392-396
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.8.4.392-396

Abstract: The rapid increase of photovoltaics causes serious problems in Kyushu area. Renewable energy output has fluctuation and it becomes more difficult to ensure reserves, so a risk of power suppression has been considered now. The forecast for PV power output is developed, by using multiple regression and lasso regression analysis. Uncertainties of renewable energy must be taken into consideration when modeling the power system. In this study, uncertainties are taken into consideration as stochastic unit commitment. In addition, it is shown that rescheduling of UC can adjust generation units schedule when forecast error is large.

Keywords: Photovoltaics, regression analysis, uncertainty of renewable energy, unit commitment
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