A Data-Driven Genetic Algorithm for Power Flow Optimization in the Power System With Phase Shifting Transformer

A Data-Driven Genetic Algorithm for Power Flow Optimization in the Power System With Phase Shifting Transformer

Phase-shifting transformer (PST) is one of the flexible AC transmission technologies to solve the problem of uneven power transmission. Considering that PST can also be used as a regulation means for the economic operation of the system, it is necessary to study the power flow optimization of power...

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Bibliographic Details
Main Authors: Zuohong Li, Feng Li, Ruoping Liu, Mengze Yu, Zhiying Chen, Zihao Xie, Zhaobin Du
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Energy Research
Subjects:
phase-shifting transformer
power flow optimization
genetic algorithm
data-driven
deep belief network
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.793686/full

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