Network load management by optimal designing of an energy hub in presence of wind and photovoltaic energies and responsible loads using an intelligent algorithm

Multi-carrier energy systems have systematic flexibility for energy and load management. The integration of different types of energy under the concept of energy hub in multiple energy infrastructures such as electricity, natural gas, and heat in an integrated way results in the supply of load demand at a lower cost. The energy hub creates a great opportunity for energy system operators to achieve a system with higher efficiency and better performance. The profitability of energy hubs in the presence of various uncertainties, which are intensified by the presence of different types of energy carriers, is one of the issues in this field. The optimal performance of the power system depends on the optimal performance of each energy hub component. One of the most important components is combined heat and power (CHP) generation. This paper deals with the optimal operation of an energy hub in an industrial complex based on collected field data, including electrical loads and heating and cooling demands, considering electricity market prices and renewable energies such as wind and photovoltaic, as well as intelligent algorithms for responsive loads. According to the simulation results, comparing the total cost of energy in the presence and absence of responsive loads, the presence of a responsive load next to the energy hub significantly reduces the annual economic cost.