Optimal Day-Ahead Dispatch of Integrated Energy Systems With Carbon Emission Considerations

Abstract

Given the environmental challenges of global warming, low-carbon production and generation are drawing increasing attention around the world. The pricing and trading of carbon emission is an effective means to simulate enterprises to reduce carbon emission spontaneously. The establishment of carbon trading markets would further facilitate emission reduction in the future. Accordingly, the cost of carbon emission would play a significant role in the day-ahead dispatch. In this paper, an optimal day-ahead dispatch model is proposed for integrated energy systems by taking carbon emission trading into consideration. Specifically, a power-gas-heat integrated system is selected to be studied. First, the energy hub model is introduced to characterize the couplings in an integrated energy system with mutual conversions of different energy forms. With the modeling of energy hubs and constraints of equipment, the dispatch model is formulated as a nonlinear integer programming problem. We make comparisons of simulation results before and after considering carbon emission cost and then discuss their impacts on consumption of wind power. As verified by simulation experiments, the proposed model is effective in reducing wind curtailment while improving the efficiency of integrated energy system operations.