Stochastic optimization of multi-energy system operation considering hydrogen-based vehicle applications

In response to the challenge of improving energy efficiency, multi-energy systems composed of electrical power, natural gas, heating power, cooling power networks and energy storage are attracting more attention and being developed rapidly. Traditionally, different energy infrastructures are scheduled and operated independently, which results in less efficient energy usage and resource wasting. Through integrating as a multi-energy system, different energy carriers can be coupled and optimized as one unit. In this paper, a two-stage stochastic optimization method with forecast updating for optimal scheduling of a real multi-energy system with hydrogen-based vehicle applications is proposed from an economic point of view. Simulation results suggest the proposed scheduling method can help quantify the daily operating cost, balance real-time power demands and PV output solar power, and achieve considerably operating cost savings by appropriately arranging and utilizing all the devices in the system