Robust Stochastic Optimal Dispatching of Integrated Energy Systems Considering Refined Power-to-Gas Model

The pluralistic consumptive technology and pluralistic storage technology of integrated energy system can effectively solve the problem of local consumption of renewable energy. In this paper, power-to-gas (P2G) is subdivided into power-to-hydrogen and power-to-natural gas. Then considering the actual operating characteristics of electrolyzer and methane reactor, as well as the charging and discharging process of hydrogen storage, a refined P2G model is established. On this basis, in allusion to the large prediction error of renewable energy and relatively high accuracy of load prediction, a robust optimization engineering game model is adopted at the source side to deal with wind power uncertainty, and a stochastic optimization method is used at the load side to deal with load uncertainty, a robust stochastic optimization scheduling model for integrated energy systems considering the refined P2G model is proposed. Case study results verify validity and feasibility of the proposed model. Compared with general P2G model, the refined P2G model can reasonably represent the energy coupling mode of P2G technology. The robust stochastic optimization scheduling model of integrated energy system is beneficial to balance system scheduling cost and reliability. © 2019, Power System Technology Press. All right reserved.