摆动方程的粒子群逼近解

Abdulhamid Zaidi, Qi Cheng
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引用次数: 2

摘要

使电力系统在受到扰动后恢复稳定运行是发电和控制中最重要的能力之一。失去同步通常是不稳定的结果。发电机转子的角度取决于机械功率和电力。同步电机的输出功率与机械转矩有关,而机械转矩对转子的角度稳定性至关重要。因此,在存在干扰的情况下保持同步是发电的目标。本文利用粒子群算法求解电力系统的摆动方程,研究了电力系统的暂态稳定问题。从角度稳定性的角度对正常运行和故障后的摆动方程进行了研究。本研究考虑单机和双机电力系统。所得结果表明摆动方程的近似解令人满意。与其他传统数值方法相比,所提出的方法提供了类似且更好的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Approximation Solution of the Swing Equation Using Particle Swarm Optimization
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.
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