计及动态碳阈值需求响应的社区综合能源系统低碳优化调度

Low-carbon Optimal Dispatch for Community Integrated Energy Systems Considering Dynamic Carbon Thresholds and Demand Response

  • 摘要: 随着碳减排任务的推进,如何实现低碳发展成为综合能源系统优化中不可避免的问题。为充分挖掘社区综合能源系统的减碳潜力,提出一种能源设备侧与负荷侧共同减碳的碳排放需求响应模型,设立动态碳阈值来限制系统碳排放量,把碳排放因子作为处罚系数加入到分时电价和天然气价格中,驱使负荷侧进行低碳需求响应。首先,建立考虑价格型需求响应的能源设备侧预调度模型,并在模型中引入风光消纳激励项。其次,将能源设备侧预调度结果的碳排放量和动态碳排放因子信息传递到用户侧,设立动态碳阈值来引导负荷侧进行低碳需求响应的再调度。调用CPLEX求解器,预调度以总成本最低为目标,再调度以用户用能效益最大为目标进行求解。仿真结果表明,所提方法能有效降低系统碳排放量达6.2%,同时使总成本减少3.5%。

     

    Abstract: With the advancement of carbon emission reduction, how to achieve low-carbon development has become an inevitable consideration in the optimization of the intergated energy system. To fully harness the carbon reduction potential of the community integrated energy systems, a carbon emission demand response model for carbon emission reduction on both the energy equipment side and the load side is proposed. A dynamic carbon threshold is established to limit the system’s carbon emissions, and the carbon emission factor is incorporated into the time-of-use electricity price and natural gas price as a penalty coefficient, aiming to encourage low-carbon demand response on the load side. First, a pre-scheduling model of energy equipment is developed to implement price-based demand response with incentives for wind and solar consumption. Secondly, the carbon emissions and dynamic carbon emission factor information of the pre-scheduling results on the energy equipment side are transmitted to the user side. A dynamic carbon threshold is then set up to guide the load side to conduct rescheduling for low-carbon demand response. The CPLEX solver is called, while the pre-scheduling aims to minimize the total cost and the re-scheduling aims to maximize the user's energy efficiency. Finally, simulation results demonstrate that the proposed method can reduce carbon emissions by 6.2% and lower the total system cost by 3.5%.

     

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