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Automatic Voltage Regulator Design Using Particle Swarm Optimization Technique

机译:使用粒子群优化技术的自动电压调节器设计

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The generation of energy in large power systems and islanded networks is ensured by the synchronous machine, the enhancement of dynamic performance during disturbances is increasingly required. This research work aims to maintain the terminal voltage constant of a 1.5 kVA synchronous laboratory power machine with salient pole under different loads. Then, a second generator of $187st 10^{3},mathrm{k}$ VA with different exciting system is studied. A voltage regulation is ensured via a well-chosen controller named 'automatic voltage regulator’ that is based on proportional integral controller (PI). The adopted optimization method that has been used to determine the regulator parameters is the particle swarm optimization algorithm (PSO). The automatic voltage regulator (AVR) is tested under three different conditions. The obtained simulation results are encouraged the validation of the use of the designed AVR.
机译:同步电机可确保大型电力系统和孤岛网络中的能量产生,因此越来越需要在干扰期间增强动态性能。这项研究的目的是在不同负载下保持具有凸极的1.5 kVA同步实验室动力机的端电压恒定。然后,研究了具有不同激励系统的$ 187 \ ast 10 ^ {3} \,\ mathrm {k} $ VA的第二个生成器。通过一个名为“自动电压调节器”的精心选择的控制器可确保电压调节,该控制器基于比例积分控制器(PI)。用于确定调节器参数的采用的优化方法是粒子群优化算法(PSO)。自动电压调节器(AVR)在三种不同条件下进行了测试。获得的仿真结果被鼓励验证设计的AVR的使用。

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