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Zoning Evaluation for Improved Coordinated Automatic Voltage Control
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DOI：10.1109/TPWRS.2014.2369428.png)
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摘要
En 中文
Hierarchically structured automatic voltage control (AVC) architecture has attracted increased interest as networks operate closer to their capacity limits. Hierarchical AVC enables wide-area coordinated voltage regulation (CVR). Due to the inherent complexity of the task, it is based on reduced control models, i.e., simplified models of the system suitable for voltage control. It is a fact however that a single reduced control model (static RCM) cannot be optimal for all network configurations and operating conditions. In pursuit of an improved CVR, this paper investigates the applicability of zoning methodologies in adaptively determined RCM. It further argues that the selection of a zoning methodology affects not only the CVR operation, but also its robustness to erroneous data and proposes a comprehensive generic framework for evaluating its performance. Lastly, it extends and evaluates several zoning-based control model reduction methodologies: namely, hierarchical clustering employing two different proximity metrics, spectral k-way and fuzzy C-means, on both static and adaptive schemes.
Keyword:
Adaptive control model reduction (adaptive-RCM)
automatic voltage control (AVC)
coordinated voltage regulation (CVR)
erroneous data
graph theory
pilot nodes
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IF:
7.2
论文数:
1.1W
被引数:
5.0W
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