电网友好型建筑运行评价方法研究与关键影响因素识别
Research on grid-friendly building operation evaluation methods and identification of key influencing factors
摘要:
建筑通过与电网稳定交互及响应电网需求,能够有效缓解电网供需平衡压力。然而,目前仍缺少适用于分时电价场景下的建筑运行友好性评价方法,对影响建筑友好运行的关键影响因素尚不明晰。本文提出了适用于分时电价场景的运行评价方法,包括友好型电量指标、友好型功率指标与友好型综合评价指标;并提出了电网友好型建筑调度优化框架,用于支撑识别系统友好运行的关键影响因素。基于典型案例分析了分布式光伏发电、主动式储能设备、被动式建筑虚拟储能对建筑运行友好性的贡献。案例结果表明:综合利用3种柔性资源能够降低12.61%的运行成本;此外,建筑侧柔性资源的使用能够有效提升建筑运行友好性,并且主动式储能设备对建筑友好运行的贡献最为突出。本文提出的评价指标和分析结果可为电网友好型建筑的设计和应用提供指导。
Abstract:
Buildings play a crucial role in mitigating the strain on the power grid supply-demand balance through their stable interaction and responsiveness to grid demands. However, there is still deficient for the grid-friendly operation evaluation methods of buildings applicable to time-of-use electricity price scenarios, and the key influencing factors affecting building friendly operation remain ambiguous. This paper proposes an operation evaluation method applicable to time-of-use electricity price scenarios, including the friendly electricity indicator, the friendly power indicator and the friendly comprehensive evaluation indicator, and presents a grid-friendly building scheduling optimization framework for supporting the identification of key influencing factors of system-friendly operation. The contributions of distributed photovoltaic power generation, active energy storage devices, and passive building virtual energy storage to building operation friendliness are analysed based on typical cases. The findings from the case study demonstrate a notable 12.61% reduction in operational costs achieved through the comprehensive utilization of these three flexible resources. Furthermore, the utilization of building-side flexible resources effectively enhances the grid-friendly operation of buildings, with active energy storage devices exhibiting the most pronounced contribution. The proposed evaluation indicators and analysis outcomes presented in this paper offer valuable guidance for the design and widespread adoption of grid-friendly buildings.
Keywords:grid-friendly building; evaluation indicator; scheduling optimization; influencing factor; demand response; energy storage; distributed photovoltaic power generation