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Support vector machine has good generalization ability to the small sample problem, and it has become a hot spot in domestic and foreign scholars in recent years. The support vector machine based on the radius of the support vector machine and the twin support vector machine are extensions of the support vector machine, which has better performance. The main research of the thesis is combined with...
There are more and more production tasks with the distribution grid more and more quick growth. However, the traditional outage planning process is very complex and the plan will be adjusted from time to time. It is very difficult to guarantee the outage plan to be scientific and reasonable, which will result in numerous duplicated outage, power sales lost and low work efficiency. To solve the above...
The common maintenance scheduling problem in restructured power systems is addressed. When Independent System Operator(ISO) receives scheduling plans from multiple independent GENeration COmpanys (GENCOs), which seek to maximize their own medium-term profits, it tries to trade off the generation cost and the reliability of the system, thus reschedules the maintenance plans of the GENCOs. This paper...
An in-depth investigation is made on the optimization goal most concerned about device maintenance time and additional cost caused by maintenance scheduling. Based on the above, a new model for distribution maintenance scheduling is developed with multipurpose and multiple constraints. In addition, the merits of ant colony algorithm are parallel search and strong optimization capabilities, which was...
In order to overcome the flaw that it is hard to get the optimization importance density function in the particle filter. The IEKF and the sequential fusion were integrated with particle filter. Than, the particle filter was introduced to radar/infrared Multi-sensor target fusion tracking. The main idea is use the system state transition matrix and the error covariance matrix which are gained from...
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