hSGA-PS程序与PIDA调节器在电力系统AGC中的性能比较

Smrutiranjan Nayak, Sanjeeb Kumar Kar, S. Sekhar Dash
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引用次数: 0

摘要

利用比例积分导数与加速(PIDA)控制器,结合搜索群算法和模式搜索(hSGA-PS)技术实现强度结构的自动生成控制(AGC)。提出了一种带PID调节器的三非线性力框架,通过搜索群算法(SGA)调整调节器边界。在多区域电力结构中,单个区域之间通过输电线路的方式相互联系。这里考虑三个具有不同截止点的非线性区域暖对策方案进行评估,在此点上,在后续阶段用PIDA调节器代替PID调节器,并利用SGA程序简化PIDA调节器的理想增量。将GA/PSO/FA等全局优化方法与PS等局部优化方法相结合,提高了算法的性能。扭转共振抑制采用IDA控制器。SGA调谐PID调节器升级介绍了通过和通过差异化和SGA升级PID调节器。示例模式搜索,一种用于调整PIDA调节器边界的附近流线型策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Comparison of hSGA-PS procedure with PIDA regulator in AGC of Power System
With Proportional Integral Derivative and Acceleration (PIDA) controller, Search Group Algorithm and Pattern Search (hSGA-PS) technique oversee Automatic Generation Control (AGC) of intensity structure. A three nonlinear force framework with PID regulator is thought of regulator boundaries are adjusted via Search Group Algorithm (SGA). In varied-region power structure, single zones are between related with each other zone by methods for transmission lines. Here, three districts warm game plans of different cutoff points with non-linearity's are considered for assessment At that point in the subsequent stage, PID regulator is supplanted with PIDA regulator and the ideal increases of PIDA regulator are streamlined utilizing SGA procedure. Global optimizing methods like GA/PSO/FA is hybridize with local optimizing methods like PS improves the performance. IDA controller employed for torsional resonance suppression. SGA tuned PIDA regulator upgrades introduction through and through differentiated and SGA upgraded PID regulator. Example Pattern Search, a nearby streamlining strategy utilized to adjust PIDA regulator boundaries conveyed.
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