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首页> 外文期刊>Soft computing: A fusion of foundations, methodologies and applications >Modified sine cosine algorithm-based fuzzy-aided PID controller for automatic generation control of multiarea power systems
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Modified sine cosine algorithm-based fuzzy-aided PID controller for automatic generation control of multiarea power systems

机译：基于Multiarea电力系统的自动生成控制的改进的正弦余弦算法模糊辅助PID控制器

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The research paper presents implementation of a fuzzy rule and membership function-based fuzzy-aided PID controller for automatic generation control (AGC) in multiarea nonlinear power system. At the initial stage of this proposed work, a three-area nine-unit installed interconnected network is considered for developing different dynamic responses in response to AGC analysis. A modified approach named modified sine cosine algorithm (M-SCA) is proposed for tuning the gain parameters of the above-proposed fuzzy controller to produce close optimum gain values. The proposed modified algorithm is developed from its original sine cosine algorithm by improving and updating few equations which is capable of making the balance between exploration and exploitation levels of this algorithm and improving the updating quality of iteration. To impose supremacy of M-SCA technique, it is examined through convergence curves and its performance is compared with host sine cosine algorithm, genetic algorithm, and particle swarm optimization algorithm. For controller supremacy analysis, the performance of the proposed fuzzy-aided PID controller is compared with conventional I, PI, and PID controllers, and it has been revealed that proposed M-SCA-tuned fuzzy-aided PID controller exhibits better performances through different deviated responses for AGC analysis. To demonstrate most standard and supremacy of proposed approaches, finally these are tested through a five-area ten-unit system considering some physical nonlinear constraints like generation rate constraint, governor dead band, boiler dynamics and time delay. At the final observation level, the proposed fuzzy controller has gone through different sensitivity analyses with variation of different system parametric conditions and different load conditions.
机译：研究论文介绍了多ALEA非线性电力系统中自动生成控制（AGC）的模糊规则和基于员工的模糊辅助PID控制器。在该提出的工作的初始阶段，考虑了一个三个区域安装的互连网络，以响应AGC分析来开发不同的动态响应。提出了一种被称为修改的正弦余弦算法（M-SCA）的修改方法，用于调谐上述模糊控制器的增益参数以产生近最佳增益值。所提出的修改算法是通过改进和更新少数等式的原始正弦余弦算法开发的，该等式能够在该算法的勘探和利用水平之间进行平衡，提高迭代的更新质量。为了强加M-SCA技术的至高无上，它通过收敛曲线检查，将其性能与主余弦算法，遗传算法和粒子群优化算法进行比较。对于控制器至上的分析，将所提出的模糊辅助PID控制器的性能与传统的I，PI和PID控制器进行比较，并且已经揭示了所提出的M-SCA调谐模糊辅助PID控制器通过不同的偏移表现出更好的性能AGC分析的反应。为了展示所提出的方法的大多数标准和至高无上，最后通过五个区域的十个单元系统测试，考虑一些物理非线性限制，如产生率约束，调速器死区，锅炉动力学和时间延迟。在最终观察水平，所提出的模糊控制器已经通过不同的敏感性分析，不同的系统参数条件和不同的负载条件的变化。

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