基于需求侧响应的空调负荷虚拟储能模型研究

发布时间：2018-03-13 11:01

本文选题：需求侧响应　切入点：虚拟储能　出处：《电网技术》2017年02期 　论文类型：期刊论文

【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。
[Abstract]:In order to reduce the peak load of summer high temperature and reduce the capacity of traditional energy storage, considering the heat storage capacity of air-condition-building system, it can be equivalent to a kind of virtual energy storage device to participate in the demand-side response. Firstly, based on the thermodynamic model of air conditioning load and the thermal comfort model of human body, the virtual energy storage model is established, and the theoretical calculation formulas of its rated capacity, power and charge-discharge time are derived, and then the environmental parameters are quantitatively analyzed. The coupling relationship between temperature and virtual energy storage evaluation index is set, and the characteristics of virtual energy storage aggregation model of air conditioning load group are analyzed by Monte Carlo simulation method. Then, two kinds of virtual energy storage control strategies are designed for temporary peak-cutting scenarios. Finally, based on the theoretical analysis, the performance of air conditioning load virtual energy storage and its typical application in the demand side response are checked and compared with the actual air conditioning building as an example.
【作者单位】：国家主动配电网技术研发中心(北京交通大学);北京中恒博瑞数字电力科技有限公司;
【基金】：北京市科技计划项目(Z161100000716003)~~
【分类号】：TM73

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