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Voltage/VAR Control and Optimization: AI approach

... attentions are paid to the application of AI techniques in reactive voltage control and a lot of results in this field are obtained by many authors. This paper presents a hybrid Volt/VAr control approach based on AI techniques such as machine learning and multi-agent systems based models. Proposed approach enjoys high efficiency for various scenarios of modified IEEE 6-Bus and 118-Bus test systems. © 2018 входит

Теги: machine learning , multi-agent system , power system , random forest , security , volt-var control , decision trees , intelligent agents , learning systems , value engineering , voltage regulators , inherent characteristics , optimal solutions , random forests , tradit
Раздел: ИСЭМ СО РАН


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