基于参数序列化的中央空调变负载率调节控制策略研究

发布时间：2018-03-21 17:00

  本文选题：主动配电网　切入点：中央空调　出处：《电网技术》2017年09期 　论文类型：期刊论文

【摘要】：中央空调(central air-conditioner,CAC)作为一种典型可控负荷,具有良好的需求响应潜力。该文针对传统控制策略CAC主机直接启停方式的局限性,提出一种基于参数序列化的CAC变负载率(variable load rate,VLR)调节控制策略。首先,以常规水冷CAC为研究对象,基于不同运行模式特征对主机热力学动态建模。其次,基于参数序列化技术,考虑用户舒适度及CAC锁定约束,以室内温度为序列化参数形成响应群体筛选队列,根据响应目标确定可控群体;采用VLR方法,对可控群体进行精细化负载率调节。最后,在仿真算例中,比较了本文方法与传统启停策略的差异,分析了锁定约束对控制效果的影响。在工作模式下,模拟上层电网控制中心下发调控信号,实现削峰效果。结果表明:基于参数序列化技术,能够保证用户的舒适度,筛选出适合调控的CAC负荷群体;结合VLR方法,实现对CAC负荷群的精细化调节,目标值响应精度更高。
[Abstract]:As a typical controllable load, central air-conditioner (CAC) has good demand response potential. This paper presents a variable load rate variable load control strategy for CAC based on parameter serialization. Firstly, taking the conventional water-cooled CAC as the research object, the thermodynamics dynamic model of the host is modeled based on the characteristics of different operation modes. Secondly, the parameter-based serialization technique is used to model the thermodynamics of the host. Considering the user comfort and CAC locking constraints, the response group selection queue is formed with the indoor temperature as the serialization parameter, and the controllable population is determined according to the response target. Finally, the VLR method is used to adjust the load rate of the controllable population. In the simulation example, the difference between this method and the traditional starting and stopping strategy is compared, and the influence of locking constraint on the control effect is analyzed. In the working mode, the control signal is generated from the control center of the upper power network. The results show that the parameter-based serialization technique can ensure the comfort of the users and select the suitable CAC load groups, and combine the VLR method to realize the fine adjustment of the CAC load group, and the target value response accuracy is higher.
【作者单位】： 智能电网教育部重点实验室(天津大学);国网福建省电力科学研究院;国网北京市电力公司;国网厦门供电公司;国网北京经济技术研究院;
【基金】：国家高技术研究发展计划(863计划)资助项目(2014AA051901) 国家自然科学基金项目(51407125) 国家电网公司科技项目《集成大规模柔性负荷的智能配电网规划关键技术研究》资助~~
【分类号】：TB657.2;TM73
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本文编号：1644747