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发表时间：
2003
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通讯作者：
Duotong Yang;Zhijie Nie;Kevin Jones;Virgilio Centeno
中科院分区：
文献类型：
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作者：
Duotong Yang;Zhijie Nie;Kevin Jones;Virgilio Centeno
同步相量的持续成功开创了电力系统应用的新子领域，用于实时态势感知、在线决策支持和鲁棒系统控制。本文提出了一种基于自适应决策树的开环区域电压控制系统方法。该方法采用电压安全评估方法来生成用于决策树学习的电压安全和不安全操作条件。训练对应于一组控制组合的并行决策树。为了保证决策树的鲁棒性及其在拓扑变化后跟踪系统状况的能力，使用在线提升方法定期实时更新训练后的树。使用 IEEE 118 总线系统评估该方法的性能。
The continuing success of synchrophasors has ushered in new subdomains of power system applications for real-time situational awareness, online decision support, and robust system control. In this paper, an adaptive decision-tree-based systematic method for open-loop regional voltage control is developed. This approach employs voltage security assessment method to generate voltage secure and insecure operating conditions for decision tree learning. Parallel decision trees corresponding to a set of control combinations are trained. To guarantee the robustness of decision trees and its capability of tracking the system condition after topology changes, the resulting trained trees are updated periodically in real time using an online boosting method. The performance of this approach is evaluated using IEEE 118 bus system.