基于关联机组风险系数的发电机振荡模式辨识  

Identification of oscillation mode based on risk factor of relevant generator

作　　者：林波[1,2] 吕林[2] 钟继友[1] 吴晓蓉[1] 

机构地区：[1]四川电力设计咨询有限责任公司,四川成都610041 [2]四川大学电气信息学院,四川成都610065

出　　处：《电源技术》2016年第7期1479-1482,共4页Chinese Journal of Power Sources

基　　金：国家自然科学基金项目(51261130472);英国Alstom公司国际科研合作项目(11H0207);国家电网科技项目(5441YD120008)

摘　　要：针对发电机功角振荡,提出基于关联机组风险系数的机组振荡模式辨识方法。首先分析Prony算法提取发电机功角振荡模式的原理,介绍了能量级理论在机组功角振荡模式辨识中的运用,结合Prony算法所抽取的振荡幅值、阻尼比和衰减因子等参数,提出了机组振荡模式评估系数——参与因子;并给出了基于该系数的主振模式具体辨识方法。最后,在IEEE39节点系统计算结果表明:所提因子能够辨识扰动下的强关联发电机组及主导振荡模式,且通过振荡模式与振荡能量级关系分析,验证了所提方法的可行性和有效性。A novel identification method for critical oscillation mode was presented by making use of risk factor of relevant generator. Prony algorithm was utilized to obtain oscillation mode of rotor angle. The energy class was introduced to indentify critical oscillation mode. The participation factor, concerning risk of oscillation relevant generators, was raised by means of synthesizing parameters like amplitude, damping ratio and attenuation obtained by Prony algorithm. The specified procedures of identifying critical oscillation mode were proposed based on the risk factor. The simulation results of IEEE 10-machine 39-bus system show that the proposed factor is able to identify critical oscillation mode and assess oscillation risk of the strongly relevant generators. Comparing the obtained result with that from energy class of oscillation modes, it verifies the feasibility and effectiveness of the proposed method.

关 键 词：功角振荡 PRONY算法 参与因子 主导振荡模式 强关联机组 

分 类 号：TM31[电气工程—电机]