Load Shedding and Smart-Direct Load Control Using Internet of Things in Smart Grid Demand Response Management
Load Shedding and Smart-Direct Load Control Using Internet of Things in Smart Grid Demand Response Management
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DOI：
10.1109/tia.2017.2740832
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发表时间：
2017-11-01
影响因子：
4.4
通讯作者：
Almurib, Haider Abbas F.
中科院分区：
文献类型：
--
作者：
Mortaji, Hamed;Ow, Siew Hock;Almurib, Haider Abbas F.
本文提出了一种新的算法，智能直接负荷控制（S-DLC）和甩负荷，以尽量减少停电在电网负荷突然变化，降低峰均比。该算法利用预测，脱落，和S-DLC。它还使用物联网和流分析来提供实时负载控制，并根据客户的需求、热舒适度和预测负载模型为配备智能电子设备的客户生成每日时间表。需求响应技术用于实时负荷控制和优化。为了测试该算法，开发了一个模拟系统，该系统考虑了100个拥有随机选择的电器的客户。结果表明，采用自回归滑动平均时间序列预测模型进行切负荷，并应用S-DLC和物联网技术，可以显著减少用户停电。
This paper proposes the use of a novel algorithm for smart-direct load control (S-DLC) and load shedding to minimize power outages in sudden grid load changes and reduce the peak-to-average ratio. The algorithm utilizes forecasting, shedding, and S-DLC. It also uses the Internet of Things and stream analytics to provide real-time load control, and generates a daily schedule for customers' equipped with intelligent electronic devices based on their demands, thermal comfort, and the forecasted load model. The demand response techniques are utilized for real-time load control and optimization. To test the algorithm, a simulation system was developed, which takes into account 100 customers owning randomly selected appliances. The results indicated that load shedding using autoregressive integrated moving average time-series prediction model, and applying S-DLC and Internet of Things can significantly reduce customers' power outage.