Low carbon scheduling strategy of electricity-heat integrated energy system considering carbon trading and demand response

Abstract Addressing the challenge that the carbon emission trading market is progressively being incorporated into various industries, the existing scheduling strategies are characterized by high carbon quota performance costs and limited carbon reduction potential in demand. This paper studies a low-carbon optimization strategy of an electric-heat integrated energy system (IES), incorporating considerations of carbon quota trading and demand side. Firstly, considering the two trading targets of carbon quota and Chinese certified emission reductions (CCER), a carbon trading model that includes thermal power generation, renewable energy, and load is constructed with daily clearing frequency. Secondly, an electricity-heat IES low-carbon scheduling model is established, including carbon quota trading and demand response, aiming to maximize the system’s marginal revenue. Subsequently, an AMP-NSGA-II algorithm is proposed to address the established scheduling method. The simulation outcomes demonstrate that the proposed low-carbon scheduling strategy enhances the system’s boundary revenue by 8.7 % and decreases its carbon emissions by 13.2 %.