An Approximation Solution of the Swing Equation Using Particle Swarm Optimization
An Approximation Solution of the Swing Equation Using Particle Swarm Optimization
复制标题
摆动方程的粒子群优化逼近解
DOI：
10.1109/sustech.2018.8671355
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Qi Cheng
中科院分区：
文献类型：
--
作者：
Abdulhamid Zaidi;Qi Cheng
在系统受到干扰之后，将电力系统带入其稳定操作是发电和控制中最重要的功能之一。同步损失通常是不稳定性的结果。发电机中转子的角度取决于机械功率和电力。同步机的输出功率与机械扭矩有关，这对于转子的角度稳定性至关重要。因此，在扰动存在下保持同步是发电的目标。在本文中，通过使用粒子群优化（PSO）求解挥杆方程来研究电力系统的瞬态稳定性。在正常操作期间和发生故障后，对挥杆方程进行了研究。在本研究中考虑了单机器和两机电源系统。获得的结果显示了秋千方程令人满意的近似解决方案。与其他常规数值方法相比，提出的方法引入了类似，更好的解决方案。
Bring the power system to its stable operation after the system being disturbed is one of the most important capabilities in power generation and control. A loss of synchronization is generally the result of instability. The angle of the rotor in a generator depends on the mechanical power and electrical power. The output power of a synchronous machine is linked to the mechanical torque, which is central to the angle stability of rotor. Therefore, maintaining synchronization in the presence of disturbance is the goal in power generation. In this paper, the transient stability of a power system is investigated by solving the swing equation using the particle swarm optimization (PSO). The investigation is carried out for the swing equation in terms of angle stability during the normal operation and after the fault occurs. Single machine and two-machine power systems are considered in this study. The obtained results show satisfactorily approximation solution for the swing equation. The proposed method introduces a similar and better solution compared to the other conventional numerical methods.