Risk-Constraint Scheduling of Storage and Renewable Energy Integrated Energy Hubs

Abstract

An energy hub has been lately introduced as a powerful model to optimize the cooperation among variety forms of energy. The energy hub provides output demands through converting, transmitting or storage process, feeding by various kinds of energy fuels as inputs of generating infrastructures. Input and output consist of different kinds of energy such as heat, power, gas, and hydrogen to promise the diversity of consumption side. In response to environmental concerns and increasing energy needs, the trend toward renewable distribution energy resources has been increased. In this chapter, the authors consider a renewable-based energy hub which contains wind turbine (WT), photovoltaic (PV) cells, energy storages, boiler, etc. Volatile nature of renewable energy resources makes new challenges to supply the demands. In this regard, an optimal stochastic short-term scheduling, considering the uncertainties of the renewable generations is presented. The stochastic formulation is led to design of optimal planning to increase not only total profit but also consumers’ satisfaction. A scenario-based technique is utilized to evaluate the uncertainties of the renewable sources. In order to decrease the number of sceneries, a proper scenario reduction method is applied on the problem. The influence of uncertainty factors such as solar irradiation and wind speed is investigated in the problem formulation. Moreover, in the scheduling model risk management problem is also considered. To confirm the effectiveness of the proposed method, it is applied on a proper test system.