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首页> 外文期刊>International journal of intelligent engineering informatics >Application of multi-verse optimiser-based fuzzy-PID controller to improve power system frequency regulation in presence of HVDC link
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Application of multi-verse optimiser-based fuzzy-PID controller to improve power system frequency regulation in presence of HVDC link

机译:基于多向优化器的模糊PID控制器在HVDC链路存在下改善电力系统频率调节的应用

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摘要

This paper presents the design of a novel optimal fuzzy-PID controller-based multi-verse optimiser (MVO) for load frequency control (LFC) of a two-area power system interconnected via high voltage direct current (HVDC) transmission link. The MVO algorithm was adopted to estimate the unknown parameters of the test system and model the HVDC link for the LFC analysis, and then, was used to optimise the fuzzy-PID controller parameters including the scaling factors of fuzzy logic and the PID controller gains. To demonstrate the effectiveness of the proposed control strategy, a two-area power system with HVDC link connection was investigated for the simulation. A comparative study of performance of proposed controller, fuzzy logic and conventional PID controller was performed. The obtained results satisfy the LFC requirements and reveal that the optimised fuzzy-PID controller-based MVO algorithm enhances power system frequency regulation in presence of HVDC link.
机译:本文提出了一种新颖的基于优化模糊-PID控制器的多逆优化器(MVO)的设计,该优化器用于通过高压直流(HVDC)传输链路互连的两区域电力系统的负载频率控制(LFC)。采用MVO算法对测试系统的未知参数进行估计,并对高压直流输电线路进行LFC分析,然后对模糊PID控制器参数进行优化,包括模糊逻辑的比例因子和PID控制器的增益。为了证明所提出的控制策略的有效性,对具有HVDC链接连接的两区域电力系统进行了仿真研究。对所提出的控制器,模糊逻辑和常规PID控制器的性能进行了比较研究。所获得的结果满足了LFC的要求,并揭示了基于优化的基于模糊PID控制器的MVO算法可增强存在HVDC链路的电力系统的频率调节。

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