Optimal bidding strategy of wind farms for joint operation with other ‎renewable resources in power market

Optimal operation and bidding strategy of renewable units are two important problems of the restructured power market. In this paper، a new method for the joint operation of wind، photovoltaic and pump-storage units in day ahead power market is studied to increase the profit of joint units. In this study، artificial neural network is used to predict the wind power generation of wind farms. Since، there are uncertainties in energy and reserve prices، wind and photovoltaic power generation، the optimal operation of joint units can be modeled as a stochastic optimization problem. For this purpose، uncertainties of parameters are modeled by scenario tree method. The performance of the proposed method is evaluated on the renewable energy resources (wind farms، photovoltaic and pump-storage units) of the modified IEEE 118 bus test system. Results of the proposed joint operation of renewable resources confirm that the value of expected profit increases in comparison with uncoordinated operation (UO) of units.