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Generation control of isolated small hydro power plant by using DECSA optimized FPI controller

机译:使用DECSA优化的FPI控制器来对孤立的小型水力发电厂的产生控制

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Purpose - In this work, generation control of an isolated small hydro plant (SHP) is demonstrated by applying optimal controllers in speed governor and hydraulic turbine system. A comparative analysis of application of fuzzy PI (FPI) and PID controller is conferred for generation control (both power and terminal voltage) of an SHP. The controllers are designed optimally by using crow search algorithm (CSA) and novel hybrid differential evolution crow search algorithm (DECSA). The purpose of this paper is to settle the voltage and real power to improve the quality of the power. Design/methodology/approach - In this work, the controllers (PID and FPI) are implemented in speed governor and excitation system of SHP to regulate power and terminal voltage. Differential evolution and CSA are hybridized to enhance the performance of controller to refurbish the power and terminal voltage of SHP. Findings -The proposed DECSA algorithm is applied to solve ten benchmark functions, and the effectiveness of DECSA algorithm over CSA and DE is demonstrated in terms of best value, mean and standard deviation. CSA and DECSA algorithms optimized controllers (PID and FPI) are used to design SHP with the capability to contribute power and voltage of better quality. The comparative analysis to substantiate the competence of DECSA algorithm and FPI controller is demonstrated in terms of statistical measures of power and voltage of SHP. Robustness analysis is performed by varying all system parameters to prove the effectiveness of the proposed controller. Originality/value - The proposed algorithm and FPI controller are applied individually to improve the quality of the power of SHP. DE, CSA and DECSA algorithms are implemented to solve benchmark equations. The solutions of all benchmark equations contributed by DECSA algorithm is converged rapidly and having minimum statistical measures as compared to DE and CSA algorithms. The DECSA algorithm and FPI controller are proposed with superior competence to enhance the generator performances by conceding undershoot, overshoot and settling time of power and terminal voltage. DECSA-based FPI controller contributes a noticeable improvement of the performances over other approaches.
机译:目的 - 在这项工作中,通过在速度调速器和液压涡轮系统中应用最优控制器来证明孤立的小型水力厂(SHP)的产生控制。模糊PI(FPI)和PID控制器应用的比较分析被赋予SHP的生成控制(两个功率和终端电压)。通过使用乌鸦搜索算法(CSA)和新颖的混合差分演进乌鸦搜索算法(DECSA),控制器设计了最佳设计。本文的目的是解决电压和实际功率以提高电力的质量。设计/方法/方法 - 在这项工作中,控制器(PID和FPI)在SHP的速度调速器和激励系统中实现,以调节电源和端子电压。差分演化和CSA杂交以增强控制器的性能,以翻新SHP的电源和终端电压。结果 - 所提出的DECSA算法应用于解决十个基准函数,并且在最佳值,平均值和标准偏差方面对DECSA算法对CSA和DE的有效性。 CSA和DECSA算法优化控制器(PID和FPI)用于设计SHP,能够贡献功率和电压更好的质量。在SHP的电力和电压统计测量方面,对DECSA算法和FPI控制器的能力进行了比较分析。通过改变所有系统参数来证明所提出的控制器的有效性来执行鲁棒性分析。原创性/值 - 所提出的算法和FPI控制器是单独应用的,以提高SHP的功率质量。实现DE,CSA和DECSA算法以解决基准方程。与DE和CSA算法相比,DECSA算法贡献的所有基准方程的解决方案都迅速融合并具有最小统计措施。提出了DECSA算法和FPI控制器,具有卓越的能力,通过承认电力和终端电压的下冲,过冲和稳定时间来增强发电机性能。基于DECSA的FPI控制器有助于对其他方法进行显着改善。

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