Optimal Operation Planning of Wind Farm Installed BESS Using Wind Power Forecast Data of Wind Turbine Generators Considering Forecast Error

Author:

Ogimi Kazuki,Kamiyama Shota,Palmer Michael,Yona Atsushi,Senju Tomonobu,Funabashi Toshihisa

Abstract

Abstract In order to solve the problems of global warming and depletion of energy resource, renewable energy systems such as wind generation are getting attention. However, wind power fluctuates due to variation of wind speed, and it is difficult to perfectly forecast wind power. This paper describes a method to use power forecast data of wind turbine generators considering wind power forecast error for optimal operation. The purpose in this paper is to smooth the output power fluctuation of a wind farm and to obtain more beneficial electrical power for selling.

Publisher

Walter de Gruyter GmbH

Subject

Energy Engineering and Power Technology

Reference28 articles.

1. An integration of ANN wind power estimation into UC considering the forecasting uncertainty Proceedings of IEEE Industrial Commercial Power Systems Technical Conference;Methaprayoon,2005

2. Control strategies for battery energy storage for wind farm dispatching;Teleke;IEEE Trans Energy,2009

3. Application of recurrent neural network to short - term - ahead generating power forecasting for wind power generator Proceedings of International Conference on Electrical pages CD ROM Jul;Senjyu;Engineering,2006

4. Application of recurrent neural network to short - term - ahead generating power forecasting for wind power generator Proceedings of International Conference on Electrical pages CD ROM Jul;Senjyu;Engineering,2006

5. Electric Co Report Available at http www tohoku epco co jp ir report pdf ar pdf;Tohoku;Power Annual,2012

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