In order to improve the comprehensive energy utilization efficiency and reduce carbon emissions in high energy-carrying industrial parks (HICs), a coordinated low-carbon economic dispatch strategy for HICs that takes into account carbon emissions and the demand response subsidy mechanism is proposed based on the introduction of demand response by taking into account the characteristics of photovoltaic thermal power plants (PVPPs). The two-layer scheduling model is based on giving full play to the characteristics of PV power plants and flexible scheduling of high energy-carrying loads. The upper model focuses on optimizing the output power of PV power plants and the optimal tariffs to meet the demand of high energy-carrying loads and maximize the economic benefits, while the lower model minimizes the operating costs and carbon emissions and participates in the demand-response subsidy mechanism under the premise of meeting the production demand. Through the Nash equilibrium to solve the game both sides in the continuous adjustment of the strategy to obtain greater benefits. In order to achieve the synergistic optimization of the photovoltaic power plant and high energy-carrying loads, reduce carbon emissions and improve the comprehensive energy utilization efficiencys.

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Synergistic Low-Carbon Economic Dispatch Strategy for High-Energy-Carrying Industrial Parks Taking into Account Carbon Emissions and Demand Response

  • Jie Lin,
  • Yan Tang,
  • Jinmei Wang

摘要

In order to improve the comprehensive energy utilization efficiency and reduce carbon emissions in high energy-carrying industrial parks (HICs), a coordinated low-carbon economic dispatch strategy for HICs that takes into account carbon emissions and the demand response subsidy mechanism is proposed based on the introduction of demand response by taking into account the characteristics of photovoltaic thermal power plants (PVPPs). The two-layer scheduling model is based on giving full play to the characteristics of PV power plants and flexible scheduling of high energy-carrying loads. The upper model focuses on optimizing the output power of PV power plants and the optimal tariffs to meet the demand of high energy-carrying loads and maximize the economic benefits, while the lower model minimizes the operating costs and carbon emissions and participates in the demand-response subsidy mechanism under the premise of meeting the production demand. Through the Nash equilibrium to solve the game both sides in the continuous adjustment of the strategy to obtain greater benefits. In order to achieve the synergistic optimization of the photovoltaic power plant and high energy-carrying loads, reduce carbon emissions and improve the comprehensive energy utilization efficiencys.