Sayyad Nojavan

In the electric power industry, solar energy and bioenergy are two energy resources that produce near-zero emissions. In order to generate dispatchable electricity power and make increments in the role of the ever-growing renewable-dominated networks, the concentrated solar energy connected with biomass boiler and thermal storage unit could be used. In this regard, the model of day-ahead and intra-day dispatch is represented for an integrated biomass-concentrated solar (IBCS) system with the aim of maximizing the system profitability by a cooperative association of the elements of the system. Furthermore, to capture the impact of uncertainties on the system function, the investigation of the IBCS system is carried out based on a stochastic optimization procedure called the downside risk constraint (DRC) method, which is a scenario-based procedure. In this method, the function of the elements is explored thoroughly regarding the risk-averse and risk-neutral (under risky condition) strategies (risk is not considered). The simulation results demonstrated that the proposed model of the dispatch can achieve considerable profit for the decision-maker of the system. For instance, the obtained profit in the risk-averse model is 27074.5 $, while in the risk-neutral model, it is 31,347 $. This reveals that the system operator needs to increase %14 of its expenditure in the risk-averse strategy to increase the system's security.