引用本文:李 江,李国庆,邹 维,张 浩,姚衍明.固定增益与变增益最优励磁控制策略的小扰动稳定域研究[J].电力自动化设备,2014,34(2):
LI Jiang,LI Guoqing,ZOU Wei,ZHANG Hao,YAO Yanming.Small signal stability region of power system with fixed or variable gain optimal excitation control[J].Electric Power Automation Equipment,2014,34(2):
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固定增益与变增益最优励磁控制策略的小扰动稳定域研究
李 江1, 李国庆1, 邹 维2, 张 浩1, 姚衍明3
1.东北电力大学 电气工程学院,吉林 吉林 132012;2.美国赛康科技公司,上海 200051;3.萧山电业局,浙江 杭州 311201
摘要:
在计及励磁饱和环节条件下,利用凸优化技术和迭代搜索方法,提出以非线性系统椭球吸引域体积为指标确定小扰动稳定域边界的新算法。对比分析了其机组在固定增益和变增益线性最优励磁控制下的电力系统的小扰动稳定域,给出了采用固定增益的小扰动稳定有效范围。算例分析验证了所提算法的有效性。结果表明:当系统运行点发生变化时,固定增益控制器的控制效果会下降,偏离给定运行点越远,控制性能下降得越严重,因此,在最优励磁控制下,有必要采用变增益的控制策略,以保证系统的小扰动稳定性。
关键词:  电力系统  小扰动稳定域  吸引域  凸优化  励磁系统  稳定
DOI:
分类号:
基金项目:国家自然科学基金资助项目(51307018);吉林省科技发展计划项目(201201108)
Small signal stability region of power system with fixed or variable gain optimal excitation control
LI Jiang1, LI Guoqing1, ZOU Wei2, ZHANG Hao1, YAO Yanming3
1.School of Electrical Engineering,Northeast Dianli University,Jilin 132012,China;2.Satcon Technology,Shanghai 200051,China;3.Xiaoshan Electric Power Bureau,Hangzhou 311201,China
Abstract:
With the consideration of excitation saturation elements and the volume of ellipsoidal attraction region of nonlinear system as its criteria,an algorithm applying the convex optimization technique and iterative calculation method is proposed to determine the SSSR(Small Signal Stability Region) boundary. The SSSR of power system with fixed gain linear optimal excitation control is compared to that with variable gain control,and the effective SSSR range of fixed gain control is given. Case analysis is carried out to verify the effectiveness of the proposed algorithm and results show that,the further the operating point of system deviates from the setpoint,the more the performance of fixed gain control drops. When the optimal excitation control is applied,the variable gain should be adopted to guarantee the small signal stability of system.
Key words:  electric power systems  small signal stability region  attraction region  convex optimization  excitation system  stability

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