Zhejiang dianli (Oct 2023)

Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow

  • LI Yichao,
  • XU Dong,
  • XU Gang,
  • LI Yun,
  • QIAO Jiacheng

DOI
https://doi.org/10.19585/j.zjdl.202310005
Journal volume & issue
Vol. 42, no. 10
pp. 34 – 44

Abstract

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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.

Keywords