Aggregated Wind Power, Photovoltaic and Pumped-Storage Plant Offering Strategy

Intermittence is one of the main obstacles in wind and solar power penetration. To cope with this problem pumped-storage plant has been proposed as a good complement that can handle positive and negative imbalances. This paper proposes a stochastic model for optimal energy management with the goal of profit maximization and imbalance cost minimization. In this model, the uncertainties related to the forecasted values for available output power of wind and photovoltaic units, market price and imbalance market price are modeled by a scenario-based stochastic programming. In the presented method, scenarios are generated by a roulette wheel mechanism based on probability distribution functions of the input random variables. Then in order to increase the speed of optimization process number of scenarios is reduced in a scenario reduction process. The proposed offering model is compared with disjoint operations of wind, photovoltaic and pumped-storage with satisfactory results and it has verified improvement of joint operation profit.