Bi-level Combinatorial Optimal Dispatch for New-town with Multi-Energy Industrial Parks under Carbon Emission Constraints

Abstract

The new-town with multi-energy industrial parks (MEIPs) are facing severe carbon emission constraints in China. The energy consumption and carbon emissions of MEIPs are high. Even if the assessment index is reached through carbon trading, the impact of carbon emissions on new-town cannot be ignored. A bi-level combinatorial optimal low-carbon dispatch model is proposed for new-town with MEIPs in this paper. The upper-level model considers the total carbon emission constraints of the new-town, and the total carbon emissions are decomposed into real-time carbon assessment indexes of each park. The lower-level model presents the integrated energy optimal dispatch of MEIPs. This model considers the economic operation and carbon trading costs of MEPs, and achieves the overall carbon requirements of the new-town through the optimization and coordination of upper and lower levels. In this paper, a new combinatorial optimization (SQP-IP) method: the sequential quadratic programming combined with the interior point method is proposed to solve the model. A case study is performed to show the effectiveness of this dispatch.