基于SAPSO算法的新投PSS参数协调预整定

基于SAPSO算法的新投PSS参数协调预整定
摘要：为指导PSS参数整定现场实验,提高电网动态安全稳定水平,对某网B厂新投机组PSS参数进行预整定。基于粒子群算法,动态调整惯性权重和加速因子自适应变化,并引入随机变异环节,以提高粒子寻优性能,从而提出适用于PSS参数预整定的自适应加速粒子群算法(SAPSO)。建立单机无穷大和两机协调预整定仿真模型,利用SAPSO算法,对某网新投PSS参数进行单机和两机协调预整定。时域仿真和现场试验表明预整定参数阻尼效果更好,对新投机组PSS参数采用预整定方法有效可行。

Abstract:In order to guide field experiment of PSS parameters tuning and improve the dynamic security and stability level of power system, the PSS parameters of new invested units in B power plant was pre-tuned. To improve the optimization performance of PSO, a novel Self-adaptive Acceleration PSO (SAPSO) algorithm is proposed, which dynamically adjusts inertia weight and acceleration factor, and adds random mutation factor to searching process. Time domain simulations of single-machine infinity system and two-machine coordinated pre-tune system are studied and investigated. PSS parameter of new invested units is pre-tuned with the SAPSO algorithm under single and coordination mode. The results of simulation and field experiment indicate that the low-frequency oscillation of power system is effectively suppressed and the pre-tune method for PSS parameter of new invested units is effective and feasible.

标题：基于SAPSO算法的新投PSS参数协调预整定
英文标题：Parameter Coordinated Pre-tune of New Operational PSS Based on SAPSO

作者：万源, 段志远, 陈子文, 熊建华, 谌艳红, 张承学,

关键词：自适应加速, 粒子群算法, 电力系统稳定器, 预整定, 试验,

发表日期：2014-08-09

2025-1-25 21:11 上传 基于SAPSO算法的新投PSS参数协调预整定.pdf

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