Electricity–gas-integrated energy planning based on reward and penalty ladder-type carbon trading cost

Abstract

Given the background of energy Internet and low-carbon electricity, the integrated energy system has become an important carrier of energy conservation and emission reduction. This study establishes an electric–gas-integrated energy system planning model that considers carbon trading. First, carbon trading is introduced into the planning model. A reward and punishment ladder-type carbon trading cost model is proposed, and its restriction on carbon emission is analysed. On this basis, a planning model is established, to minimise the total costs including the investment cost, operation cost, and carbon trading cost. Finally, the discrete bacterial colony chemotaxis algorithm is applied to solve this model. The simulation results of the three planning models are compared and analysed by simulation examples, which verify the effectiveness of the proposed model in balancing the low carbon and economic efficiency of the system. The impact of carbon trading price on system planning and operation is analysed.