摘要
提出一种电力系统稳定器(PSS)参数优化整定方法:以机组有补偿相位特性在整个低频段满足要求为目标,确定PSS相位补偿环节时间常数;在临界增益法的基础上,以振荡过程中机组电磁功率振荡最小为目标,整定PSS控制增益;采用最大-最小蚁群算法求解优化模型。采用该方法,基于机组实测无补偿相位特性,对南方电网辖区多台机组PSS参数进行了校核与整定,验证了方法的有效性。
A PSS（Power System Stabilizer） parameter optimization method is proposed,which determines the time constants of PSS phase compensation to meet the requirement of unit compensated phase characteristics in low frequency band and tunes the PSS control gain based on critical margin method to obtain the minimum oscillation of unit electromagnetic power. The maximum-minimum ant system is used to solve the optimization model. It is based on the unit uncompensated phase characteristics measured on site. The PSS parameters of some units in Southern China Power Grid are checked and tuned by the proposed method, which verifies its effectiveness.
出处
《电力自动化设备》
EI
CSCD
北大核心
2011年第10期56-60,共5页
Electric Power Automation Equipment
关键词
电力系统
稳定器
最大一最小蚁群算法
参数整定
算法
优化
electric power systems
stabilizers
maximum-minimum ant system
parameter tuning
algorithms
optimization
