空调负荷群分组控制方法
发布时间：2018-11-16 18:13
【摘要】：针对现有空调群负荷控制难以在兼顾降载效果和舒适度的条件下有效减少分组数、简化控制策略的问题,提出一种聚类分组及错峰控制方法。首先,以温变指数和特征温差为特征属性对受控端聚类分组;随后引入准备时间的概念,以分钟级空调总负荷峰值最小化为目标,优化聚合体分批进入受控期的错峰运行方案,由此尽可能保持降载期受控端状态的多样性、避免负荷波动。算例分析了所提出方法的特性和降载量调节机理,并从降载量调节特性、舒适度、负荷波形等方面将其与现有分组控制方法对比。结果表明:聚类分组及错峰控制方法通过错开聚合体进入受控状态的时间,能在较小分组数下实现迅速降载,并可较好地兼顾降载和舒适度两方面的要求。
[Abstract]:Aiming at the problem that it is difficult to reduce the number of groups and simplify the control strategy under the condition of load reduction and comfort, a method of cluster grouping and peak error control is put forward in order to solve the problem that it is difficult to reduce the number of groups and simplify the control strategy under the condition of load reduction and comfort. Firstly, the controlled terminal cluster is grouped by the temperature variation index and the characteristic temperature difference. Then, the concept of preparation time is introduced to minimize the peak value of the total load of the air conditioning system in minute stage, so as to optimize the staggered peak operation scheme of the polymer in batches into the controlled period, so as to keep the diversity of the state of the controlled end in the download period as far as possible and avoid the load fluctuation. An example is given to analyze the characteristics of the proposed method and the mechanism of load reduction regulation, and to compare it with the existing grouping control methods in terms of load regulation characteristics, comfort, load waveform and so on. The results show that the clustering grouping and the staggered peak control method can realize the rapid load reduction under the smaller number of packets by staggered polymer into the controlled state, and the requirements of both load reduction and comfort can be well taken into account.
【作者单位】： 电力传输与功率变换控制教育部重点实验室(上海交通大学);
【分类号】：TM73
，
本文编号：2336257
[Abstract]:Aiming at the problem that it is difficult to reduce the number of groups and simplify the control strategy under the condition of load reduction and comfort, a method of cluster grouping and peak error control is put forward in order to solve the problem that it is difficult to reduce the number of groups and simplify the control strategy under the condition of load reduction and comfort. Firstly, the controlled terminal cluster is grouped by the temperature variation index and the characteristic temperature difference. Then, the concept of preparation time is introduced to minimize the peak value of the total load of the air conditioning system in minute stage, so as to optimize the staggered peak operation scheme of the polymer in batches into the controlled period, so as to keep the diversity of the state of the controlled end in the download period as far as possible and avoid the load fluctuation. An example is given to analyze the characteristics of the proposed method and the mechanism of load reduction regulation, and to compare it with the existing grouping control methods in terms of load regulation characteristics, comfort, load waveform and so on. The results show that the clustering grouping and the staggered peak control method can realize the rapid load reduction under the smaller number of packets by staggered polymer into the controlled state, and the requirements of both load reduction and comfort can be well taken into account.
【作者单位】： 电力传输与功率变换控制教育部重点实验室(上海交通大学);
【分类号】：TM73
，
本文编号：2336257
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