Optimal planning of the carbon capture-energy storage joint system for integrated energy system in a low-carbon park

In order to reduce the carbon emission of the integrated energy system in the park and to increase the new energy consumption, a novel planning method to optimize the carbon capture-energy storage joint system is proposed in this paper. Firstly, the operating principle and plan method of a carbon capture-energy storage joint system is introduced. Secondly, the Kullback-Leibler divergence (KLD) is used to illustrate the uncertainty of the new energy. Based on this, the optimal planning model of the carbon capture-energy storage joint system for the integrated energy system is proposed from the aspects of system investment, the operation and maintenance cost, the penalties of tripping the wind and photovoltaic power and the carbon trading cost. In the planning model, the overall cost of the integrated energy system is the main goal and the investment and maintenance cost of the carbon capture-energy storage joint system is the sub-goal. Finally, the distributed robust optimization method is utilized to solve the model, and the advantages of the proposed model on carbon emission reduction and new energy consumption are demonstrated by comparing the economy, emission reduction and new energy tripped under different scenarios.