基于改进粒子群算法的阻尼惯量自适应控制策略

Adaptive Control Strategy of Damping Inertia Based on Improved Particle Swarm Optimization Algorithm

针对传统虚拟同步发电机控制策略存在暂态调节时间长及稳定性差等问题,提出一种基于改进粒子群算法的阻尼惯量自适应控制策略。首先,通过分析系统受扰动后功角特性,提出阻尼惯量自适应控制策略;然后,利用改进粒子群算法选择控制策略初始值,给出关键参数的选取原则及具体范围;最后,通过与现有控制策略进行对比,分析不同惯量及阻尼下对系统影响并验证控制策略的优越性。结果表明,该策略可有效提高系统稳定性及动态响应性能。

To address the problems in the traditional virtual synchronous generator control strategy such as a long transient regulation time and a poor stability,an adaptive control strategy of damping inertia based on the improved particle swarm optimization(PSO)algorithm is proposed by analyzing the system’s power angle characteristics after perturbation.The improved PSO algorithm is used to select the initial values of the control strategy,and the selection principle for key parameters and the corresponding specific ranges are given.Finally,through a comparison with the existing control strategy,the impact of different values of inertia and damping on the system is analyzed,and the superiority of the control strategy is verified.Results show that this strategy can effectively improve the system stability and dynamic response performance.