A comparison of algorithms for controlling DSRs in a control by price context using hardware-in-the-loop simulation
A comparison of algorithms for controlling DSRs in a control by price context using hardware-in-the-loop simulation
复制标题
使用硬件在环仿真在价格控制中控制 DSR 的算法比较
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
H. Bindner
中科院分区：
文献类型：
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作者：
F. Sossan;H. Bindner
随着未来波动来源电能产量的增加，对电力调节的需求将会增加，而目前提供所有电力系统辅助服务的传统发电厂无法具备提供这种服务的能力和灵活性。需求侧资源（DSR）是一种电力负荷，其电力消耗可以转移，而不会对它们所提供的主要服务产生太大影响，并且适合根据电力系统中调节电力的需要进行控制。本文对通过广播价格信号控制电空间供暖的三种算法提供的性能和聚合响应进行了比较。这些算法已在软件平台上使用硬件在环方法对大量建筑物进行了测试，该方法允许将真实办公楼的热响应反馈到模拟中；还介绍了在可变价格环境下使用模型预测控制器为真实建筑物供暖的实验结果。这项研究是 Flexpower 项目的一部分，该项目的目的是调查创建一个由 DSR 和小型发电机组大量参与的电力调节市场的可能性。
With future increasing of electric energy production from fluctuating sources, the need for regulating power will rise and conventional power plants - that today provide all power system ancillary services - could not have the capability and the flexibility of providing it. Demand Side Resource, DSRs, are electric loads whose power consumption can be shifted without having a big impact on the primary services they are supplying and they are suitable for being controlled according the needs of regulating power in the electric power system. In this paper the performances and the aggregate responses provided by three algorithms for controlling electric space heating through a broadcasted price signal are compared. The algorithms have been tested in a software platform with a population of buildings using a hardware-in-the-loop approach that allows to feedback into the simulation the thermal response of a real office building; the experimental results of using a model predictive controller for heating a real building in a variable price context are also presented. This study is part of the Flexpower project whose aim is investigating the possibility of creating an electric market for regulating power with a big participation of DSRs and small scale generation units.