Abstract
In this paper, an optimal strategy is presented for the participation of distributed generations in the energy market, considering the effect of uncertainty in the generation of wind turbines, uncertainty in market prices and uncertainty in the demand for electric vehicles. Virtual power plant is a collection of distributed generations that are co-located in order to participate in the market. The uncertainties make planning difficult for a virtual power plant. Four strategies have been proposed for participation in the energy market for the virtual power plant and the optimization problem has been solved with the help of the learning and training algorithm. In this strategy, the problem is solved by the probabilistic estimation method which has both an acceptable profit and needs a little time to perform calculations confirmed by the Monte Carlo method.
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Tamayol, M.A., Abbasi, H.R., Salmanipour, S. (2019). Distributed Generation Optimization Strategy Based on Random Determination of Electric Vehicle Power. In: Montaser Kouhsari, S. (eds) Fundamental Research in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 480. Springer, Singapore. https://doi.org/10.1007/978-981-10-8672-4_49
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DOI: https://doi.org/10.1007/978-981-10-8672-4_49
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