Carbon-aware day-ahead optimal dispatch for integrated power grid thermal systems with aggregated distributed resources

The accommodation of large-scale renewable energy and distributed resources with uncertainty and variability imposes higher flexibility requirements in integrated energy systems. This article proposes a low-carbon dayahead optimal scheduling model for the integrated power grid thermal systems. First, the network topology and safety operation constraints of the integrated power grid thermal system are considered to ensure the economical and stable operation of the system. Second, a polyhedral based thermally controllable residential load aggregation/ disaggregation method is proposed to obtain the approximate feasible region and equivalent cost parameters of the aggregator, and the uncertainty of the parameters is modeled through distributed robust chance constraints. Third, on the basis of the theory of carbon emission flow, the carbon potential of the prescheduled power grid thermal system is analyzed to guide the development of resource scheduling strategies. Method studies with different scales of integrated power grid thermal systems were conducted, and the results showed that the proposed model can reduce carbon emissions by 8.67 % and 10.71 %, respectively, while ensuring economic benefits and safety.