考虑光伏发电辅助服务的系统电碳能效测度方法研究

Research on Energy Efficiency Measurement Method of System Electricity Carbon Considering Photovoltaic Power Generation Auxiliary Service

  • 摘要: 在新型电力系统发展背景下,为进一步厘清光伏发电辅助服务对系统低碳高效率运行的支撑机理,基于光伏逆变器与SVG装置协同模式,构建了系统电碳能效测度体系。在传统碳流理论基础上,提出考虑光伏发电辅助服务支撑的系统动态碳流计算方法,并基于系统电、碳指标相关性分析,构建考虑外部环境与随机误差影响的系统三阶段电碳能效测度分析模型,为量化分析光伏辅助服务与系统能耗、线损率及碳排放的关联规律奠定基础。结合改进的IEEE 14节点系统进行仿真,揭示光伏辅助服务对系统能耗、线损率、电压偏差及碳排放的动态影响过程,及其对系统多尺度节能降碳的支撑机制。分析结果表明,在多个时段光伏发电辅助服务对降低系统有功能耗、无功能耗、线损率和碳排放量等方面具有支撑作用;通过应用所提方法,有效识别了系统电碳耦合运营效率的薄弱环节,为系统调度优化决策提供了依据,并可为新型电力系统低碳规划与辅助服务市场机制设计提供案例参考。

     

    Abstract: Under the background of the development of new power system, in order to further clarify the supporting mechanism of photovoltaic power generation auxiliary service for low-carbon and high-efficiency operation of the system, a system electric carbon energy efficiency measurement system is constructed based on the collaborative mode of photovoltaic inverter and SVG device. Firstly, based on the traditional carbon flow theory, a system dynamic carbon flow calculation method considering photovoltaic power generation auxiliary service support is proposed. Based on the correlation analysis of system electricity and carbon indicators, a three-stage electricity and carbon energy efficiency measurement analysis model of the system considering the influence of external environment and random error is constructed, which lays a foundation for quantitative analysis of the correlation between photovoltaic auxiliary services and system energy consumption, line loss rate and carbon emissions. At the same time, combined with the improved IEEE 14-bus system, the simulation is carried out to reveal the dynamic influence process of photovoltaic auxiliary service on system energy consumption, line loss rate, voltage deviation and carbon emission, and its support mechanism for multi-scale energy saving and carbon reduction of the system. The analysis results show that the photovoltaic power generation auxiliary service in multiple periods plays a supporting role in reducing the active energy consumption, reactive energy consumption, line loss rate and carbon emissions of the system. On the other hand, through the application of the proposed method, the weak links of the power-carbon coupling operation efficiency of the system are effectively identified, which provides a basis for the system scheduling optimization decision-making, and provides a case reference for the low-carbon planning and auxiliary service market mechanism design of the new power system.

     

/

返回文章
返回