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- Title
计及碳捕集和多能流的虚拟电厂多目标优化调度.
- Authors
李逸超; 胥 栋; 徐 刚; 李 赟; 乔嘉诚
- Abstract
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 multiobjective optimization algorithm. The results verify the feasibility and effectiveness of the optimal scheduling model.
- Subjects
OPTIMIZATION algorithms; CARBON emissions; COMPLEX variables; POWER plants; ELECTRICAL load; ENERGY consumption; CARBON offsetting; COAL-fired power plants
- Publication
Zhejiang Electric Power, 2023, Vol 42, Issue 10, p34
- ISSN
1007-1881
- Publication type
Article
- DOI
10.19585/j.zjdl.202310005