On maximizing profit of wind-battery supported power station based on wind power and energy price forecasting

Muhammad Khalid, Ricardo P. Aguilera, Andrey V. Savkin and Vassilios G. Agelidis

Applied Energy, 2018, vol. 211, issue C, 764-773

Abstract: This paper proposes a framework to develop an optimal power dispatch strategy for grid-connected wind power plants containing a Battery Energy Storage System (BESS). Considering the intermittent nature of wind power and rapidly varying electricity market price, short-term forecasting of these variables is used for efficient energy management. The predicted variability trends in market price assist in earning additional income which subsequently increase the operational profit. Then on the basis of income improvement, optimal capacity of the BESS can be determined. The proposed framework utilizes Dynamic Programming tool which can incorporate the predictions of both wind power and market price simultaneously as inputs in a receding horizon approach. The proposed strategy is validated using real electricity market price and wind power data in different scenarios of BESS power and capacity. The obtained results depict the effectiveness of the strategy to help power system operators in ensuring economically optimal energy dispatch. Moreover, the results can aid power system planners in the selection of optimal BESS capacity for given power ratings in order to maximize their operational profits.

Keywords: Battery energy storage; Dynamic programming; Wind power (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (28)

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DOI: 10.1016/j.apenergy.2017.11.061

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