Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow
- Resource Type
- article
- Authors
- LI Yichao; XU Dong; XU Gang; LI Yun; QIAO Jiacheng
- Source
- Zhejiang dianli, Vol 42, Iss 10, Pp 34-44 (2023)
- Subject
- vpp
carbon capture
multi-energy flow
multi-objective salp swarm algorithm
optimal scheduling
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
- Language
- Chinese
- ISSN
- 1007-1881
As an integrated energy network with multi-energy flow interconnected, virtual power plants (VPPs) face difficulties such as high actual carbon emissions, insufficient new energy consumption capacity, complex optimization variables of multi-energy flow, and non-uniform optimization objectives. To this end, a multi-objective optimal scheduling method for virtual power plants considering carbon capture and multi-energy flow is proposed to improve the new energy consumption capacity of multi-energy flow virtual power plants and reduce carbon emissions. First, a reward and punishment ladder-type carbon trading mechanism is established based on the actual carbon emissions of the virtual power plant. Then, a dual-objective optimal scheduling model is built with the minimization of operating costs and carbon emissions as the objective function and solved by using the multi-objective salp swarm algorithm. Finally, multiple scheduling scenarios are set up to compare and analyze the performance of the multi-objective optimization algorithm. The results verify the feasibility and effectiveness of the optimal scheduling model.