Rural hydropower electricity production optimal scheduling model under dynamic uncertain environment

With the consideration of some uncertain factors such as fuzzy dynamic characteristics, instantaneous load and uncertainty maintenance scheduling, etc, an optimal scheduling program model cannot be adopted in such uncertain circumstance. A networking-management based on dynamic uncertainty optimal scheduling model was designed. This model was composed of environment prediction database, scrolling time windows, time window optimization modules, time windows drivers, and feedback correction. In accordance with the actual power generating process in rural hydropower station, this model was optimized as following, firstly, I/O scheduler triggers based on environment prediction database was designed; secondly, a hybrid certainty and uncertainty limited scrolling time window was developed; thirdly, a time window driver was set up which consists of timer and event driver and finally uncertain factor compensatory functional feedback compensator was launched. The comparison result of optimized operation and experience based on operation showed that this mode can solve the uncertainty issues in power generating process in rural hydropower stations and improve the efficiency in power generating effectively.