Abstract

The inherent intermittency and fluctuation of renewable energy generation can lead to uncertainty in electricity carbon emission intensity. This uncertainty poses challenges to the low-carbon scheduling of integrated energy systems and impacts the economic benefits of system operation. To this end, this paper proposes an optimization model for integrated electricity-heat-gas energy system operation considering uncertain indirect carbon emission intensity. First, a regional integrated electricity-heat-gas energy system model considering the tiered carbon trading mechanism is formulated. Then, polyhedral uncertainty sets are introduced to analyze and qualify the uncertainties in renewable energy and indirect carbon emission intensity. Finally, a stochastic optimization method is introduced to deal with the uncertainty in the integrated energy scheduling model. Extensive case studies are conducted to verify the competence of the proposed models in enhancing the environmentally friendly and economic benefits of integrated energy systems.