Design and implementation of a real time demand side management under intermittent primary energy source conditions with a PV-battery backup system
Design and implementation of a real time demand side management under intermittent primary energy source conditions with a PV-battery backup system
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DOI：
10.1016/j.enbuild.2016.09.036
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发表时间：
2016-12
影响因子：
6.7
通讯作者：
J. Khoury;R. Mbayed;G. Salloum;E. Monmasson
中科院分区：
文献类型：
--
作者：
J. Khoury;R. Mbayed;G. Salloum;E. Monmasson
本文以某住宅小区为例，针对不可预测的负荷控制问题，设计并实现了一个真实的实时需求侧管理系统。该控制在具有大量能量停电的不可靠电网条件下实施，并补充了针对可预测负载的更高预测控制层。安装了光伏电池备用系统，以便在各个发展中国家发生的定期和频繁的能源中断期间取代电网。真实的时间控制器应当根据用户应用的预设优先级和系统中的可用能量以可靠且快速的方式启用或禁用不可预测的设备的操作。控制器的目的是防止发生电力供应的损失，同时尊重安装系统的操作约束。所开发的控制在Zebdoard上实现，该ZYNQ设备将双核ARM Cortex-A9处理器与传统的现场可编程门阵列（FPGA）逻辑结构相结合。处理器采用基于中断的策略进行编程，控制的输入和输出连接到ZYNQ的FPGA。仿真和实现结果表明，所开发的管理方案具有高度的灵活性、准确性、快速性和可靠性。
This paper develops and implements a real time demand side management system on hardware in order to control unpredictable loads in a residential house application. The control is implemented under unreliable grid conditions with a high amount of energy blackouts, and complements a higher predictive control layer targeting predictable loads. A PV-battery backup system is installed in order to replace the grid during regular and frequent energy blackout periods that occur in various developing countries. The real time controller should enable or disable the operation of unpredictable devices in a reliable and fast manner according to preset priority levels applied by the user and available energy in the system. The aim of the controller is the prevention of the occurrence of a loss of power supply while respecting the operational constraints of the installed system. The developed control is implemented on the Zebdoard, which features a ZYNQ device combining dual-core ARM Cortex-A9 processors with traditional Field Programmable Gate Array (FPGA) logic fabric. The processor is programmed using an interrupt based strategy, the inputs and outputs of the control are linked to the FPGA of the ZYNQ. The simulation and implementation results show that the developed management program is highly flexible, accurate, fast, and reliable.