Bi-level Combinatorial Optimal Dispatch for New-town with Multi-Energy Industrial Parks under Carbon Emission Constraints
- Resource Type
- Authors
- Haifei Gu; Jie Yu; Yang Li; Tongtong Zhang
- Source
- 2020 4th International Conference on Smart Grid and Smart Cities (ICSGSC).
- Subject
- Mathematical optimization
020209 energy
chemistry.chemical_element
02 engineering and technology
Energy consumption
020401 chemical engineering
chemistry
Greenhouse gas
0202 electrical engineering, electronic engineering, information engineering
Optimal dispatch
Combinatorial optimization
Environmental science
0204 chemical engineering
Carbon
Energy (signal processing)
Interior point method
Sequential quadratic programming
- Language
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.