【摘要】 为降低夏季高温峰值负荷、减小传统储能配置容量,考虑空调-建筑系统具有热储备能力,可以等效为一种虚拟储能装置参与到需求侧响应中。基于此,首先在空调负荷热力学模型和人体热舒适度模型的基础上建立虚拟储能模型,并推导其额定容量、功率和充放电时间等指标的理论计算公式。其次定量分析环境参数、设定温度与虚拟储能评估指标之间的耦合关系,并采用蒙特卡洛模拟方法分析空调负荷群的虚拟储能聚合模型特性。然后设计了2种用于临时性削峰场景的虚拟储能控制策略,最后在理论分析的基础上,已实际空调建筑作为算例,对空调负荷虚拟储能的性能,及其在需求侧响应中的典型应用进行了验算和对比分析。更多还原

【Abstract】 Because air conditioning system possesses heat storage capacity,in this paper it is regarded as a kind of virtual energy storage device to participate in demand response.Firstly,equivalent model of virtual energy storage device is established on basis of thermal model of air conditioning system and thermal comfort model of human body.And then effects of outdoor temperature and temperature setting on virtual storage characteristics were studied.Finally,Monte Carlo simulation method is used to estimate capacity of virtual energy storage of air conditioning group.Applicability of the proposed model is verified with an actual example.Two strategies for temporary peak-shaving scenes are designed to analyze these characteristics.This model provides a new tool joining existing grid schedule model for peak load reduction in summer and capacity utilization of energy storage device.更多还原