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Fruit fly algorithm‐based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment

机译:电力市场失调的基于果蝇算法的带FACTS和AC / DC链路的多区域互联电力系统自动发电控制

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This paper focuses on automatic generation control (AGC) in deregulated environment for the multiarea interconnected power system. Each area consists of different kind of generating sources like thermal, hydro, and gas, each having different characteristics with physical constraint likes governor dead band and generation rate constraint. Loads are divided among different generator using the concept of economic load dispatch. The AC/DC links has been installed in all areas as well as unified power flow controller (UPFC) in tie lines to mitigate the effect of oscillation and to improve the system response. Thus, a more systematic and synchronized control of AGC with UPFC and AC/DC links has been proposed. Small signal stability of each area has been analyzed for finding out the oscillation states of the studied system. The proposed controller is optimized through Fruit Fly Algorithm, and its promising results reveal that the proposed controller is more efficient and effective in all different power transaction modes of restructured scenario.
机译:本文着眼于在多区域互联电力系统解除管制的环境中的自动发电控制(AGC)。每个区域都由不同种类的发电源组成,例如热,水和天然气,每种均具有不同的特性,并具有诸如调速器死区和发电率约束等物理约束。使用经济负荷分配的概念将负荷分配给不同的发电机。 AC / DC链路已安装在所有区域,并在联络线上安装了统一潮流控制器(UPFC),以减轻振荡的影响并改善系统响应。因此,已经提出了具有UPFC和AC / DC链路的AGC的更加系统和同步的控制。已经分析了每个区域的小信号稳定性,以找​​出所研究系统的振荡状态。该控制器通过水果飞行算法进行了优化,其有希望的结果表明,该控制器在重组场景的所有不同电力交易模式下均具有更高的效率和有效性。

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