Renewables and Plug in Electric Vehicles modeling on electricity and gas infrastructures scheduling in presence of responsive demand

Greenhouse gases emission due to fossil fuels and growing energy needs are developing progressive advances of Distributed Generation technologies. Combined Heat and Power (CHP), Renewable Resources, Plug in Electric Vehicles (PEVs) as energy storages and Demand Response (DR) are great examples of the technologies. The advances are subject to efficiency enhancement, emission lower, reliability enhancement and economic improvement in smart grid. In this paper, Energy Hub (EH) model is flexibility extended as a strong solution for robust operation of multi carrier energy systems which are integrated to the technologies in smart distribution network. In other words, in this paper, Renewable (wind and biomass), PEVs and demand shifting of DR are mathematically modeled and comprehensively combined to gas and electricity infrastructures under EH approach. Then they are utilized to serve hub required demands. GAMS; high level algebraic modeling software is employed for Mixed Integer Linear Programming (MILP) model of proposed approach to endorse when and how much of which technology should be optimally operated to achieve minimum operation costs. Finally, impact of the technologies on hub operation costs and imported electricity and gas from grid is evaluated.