摘要
对于简单电力系统建模中参数可辨识性问题,以往采用解析方法可以进行分析。但对于大规模电力系统,解析方法难以进行。文中发现了电力系统参数的可辨识性与灵敏度之间的关系。提出先根据灵敏度的相位来判断参数能否唯一辨识,再根据灵敏度的大小来选择可辨识的重点参数,最后采用蚁群算法优化重点参数。通过算例分析,证明了上述方法的可行性。
The identifiability problems of a simple power system can be solved by analytical approaches. But for large-scale power systems, it is very difficult. The relationship between the parameter identifiability and sensitivity is revealed, and the method is proposed, in which the parameter identifiability is judged by the phase angles of the sensitivities, and the key identifiable parameters are selected according to the magnitudes of the sensitivities. Finally the key identifiable parameters are optimized with ant colony algorithm. An example validates the feasibility of the above method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2009年第7期17-21,共5页
Automation of Electric Power Systems
基金
国家杰出青年科学基金资助项目(50725723)
国家重点基础研究发展计划(973计划)资助项目(2004CB217901)~~
关键词
电力系统建模
参数可辨识性
轨迹灵敏度
特征根灵敏度
power system modeling
parameter identifiability
trajectory sensitivity
eigenvalue sensitivity
