Optimal Stochastic Scheduling of an Energy Hub Considering Thermal Demand Response and Power to Gas Technology

Advent of energy hub concept in area of energy conversion and storage has made it possible for energy system operators to attain a system with higher efficiency and optimal performance. This paper, studies optimal stochastic scheduling of an energy hub system in presence of CHP unit, auxiliary boiler, wind power, thermal and electricity storage systems. The impact of thermal demand response program implementation and power to gas (P2G) technology application on the proposed energy hub system, is analyzed. The Monte Carlo simulation method is employed to model uncertainty parameters of wind speed, electricity and heat demands. Scenario reduction process is also applied to reduce computational burden. The proposed scheduling problem is formulated as a mixed integer linear programming (MILP) and solved by CPLEX solver in GAMS software.