<p>Microgrids are an effective means to achieving sustainable transformation of the power systems. To further explore their demand-side adjustability and carbon reduction potential and to enhance their environmental and economic benefits, an environmental-economic scheduling method of microgrids integrating staged carbon trading and generalized energy storage is proposed. Firstly, the energy consumption characteristics of flexible load and the impact of flexible load participation in load regulation on system optimization operation are analyzed, and a generalized energy storage model containing flexible load and energy storage is developed. Subsequently, a staged carbon trading mechanism is introduced to constrain the carbon emissions of the microgrid. Finally, an environmental economic scheduling model is constructed to optimize the total operating costs, and output schemes for each unit are formulated. The simulation results indicate that the proposed model effectively enhances the economic efficiency and carbon reduction levels of the system.</p>

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Environmental Economic Scheduling of Microgrid Considering Flexible Loads and Energy Storage Joint Regulation Under Carbon Trading Mechanism

  • Jianzhao Song,
  • Yong Wang,
  • Tao Jiang,
  • Haipeng Chen,
  • Zhuoran Song,
  • Wenlei Dou

摘要

Microgrids are an effective means to achieving sustainable transformation of the power systems. To further explore their demand-side adjustability and carbon reduction potential and to enhance their environmental and economic benefits, an environmental-economic scheduling method of microgrids integrating staged carbon trading and generalized energy storage is proposed. Firstly, the energy consumption characteristics of flexible load and the impact of flexible load participation in load regulation on system optimization operation are analyzed, and a generalized energy storage model containing flexible load and energy storage is developed. Subsequently, a staged carbon trading mechanism is introduced to constrain the carbon emissions of the microgrid. Finally, an environmental economic scheduling model is constructed to optimize the total operating costs, and output schemes for each unit are formulated. The simulation results indicate that the proposed model effectively enhances the economic efficiency and carbon reduction levels of the system.