Partition-compostion method for online detection of transient stability and the equipment thereof

A partition-composition method for online detection of transient stability of interconnected power system, including following steps:

• Step 1:
• acquiring the dynamic response data of nk generators in the actual operation time, and obtaining the feature parameters for transient stability analysis of local area grid from the local dispatch control center based on WAMS;
• Step 2:
• uploading feature parameters of all the local area grids to the dispatch control center of the entire grid, and obtaining the parameters for transient stability analysis of entire grid;
• Step 3:
• calculating feature vector of an adjoint power system (hereinafter referred to as APS) of entire grid according to the partition-composition theorem of APS;
• wherein, the partition-composition theorem of APS can be expressed as:
• composing the vector X of an entire grid by feature vector Xk, sum vector Vk, feature vector Dk and MT,k of all the local area grids.

A partition-composition equipment for online detection of transient stability of interconnected power system includes following modules:

• a first acquisition module, which is utilized for acquiring the dynamic response data of nk generators in the actual operation time, and obtaining the feature parameters for transient stability analysis of local area grid from the local dispatch control center based on WAMS;
• a transmission module, which is utilized for transmitting the feature parameters of transient stability analysis of all the local areas to the dispatch control center of the entire grid;
• a second acquisition module, which is utilized for obtaining feature parameters of transient stability analysis of the entire grid;
• a composition module, which is utilized for composing the feature vector of the APS of entire grid according to the partition-composition theorem of the APS;
• wherein, the partition-composition theorem of APS can be expressed as:
• composing the vector X of an entire grid by feature vector Xk, sum vector Vk, feature vector Dk and MT,k of all the local area grids.