Study On Mid-Term Optimal Operation Model And Application Of Hydro-Thermal System

Along with the increasing of electricity demand and improving of develop requirement, the power architecture is more and more complex in power grid. How to build models and choose algorithms to solve the optimal operation of hydro-thermal system is the important and difficult research in electric dispatch, because this study can bring the greatest benefit and advantage of hydropower, furthermore, it is able to assurance the security and stability of thermal power even for the power grid. With the growing of hydropower scale, the inter-basin hydropower dispatching is confronted with much serious curse of dimensionality. This problem mainly displays that improving models and algorithms are unable to enhance the computational efficiency, when the problem has too high complexity and too long calculation periods. Following the development and popularity of multi-core computer, how to use multi-core parallel computing to solve curse of dimensionality is the hotspot research. Against the background of hydro-thermal optimal operation in Yunnan power grid, this article chose a system contained 39 hydropower plants and 10 thermal power plants as the study objects. It built a hydropower maximum peaking capacity model aimed at midterm optimal operation, and then used multi-core parallel to achieve the solving algorithm. After that, it done some research of model and algorithm in midterm thermal power optimal operation according to the system requirement based on hydropower optimal operation results. The specific work is introduced as below:1) According to the hydropower requirement of hydro-thermal system in midterm optimal operation and the characteristic of inter-basin hydropower plants optimal operation, it established a midterm hydropower maximum peaking capacity model, and used coherency function to replace the original objective function in order to settle expediently. Then it took hybrid optimization algorithm to work out the problem.2) On account of low computational efficiency when hydropower peak scheduling including more than one initial solution, it realized multi-core parallel to the hybrid optimization algorithm. Besides, it adopted performance index such as speedup ratio to analyze and evaluate the effect of parallel computing.3) Considering the thermal power demand after hydropower optimal scheduling, it set up an equal number of utilization hours model, and present a hybrid search method to solve the model as well. Meanwhile, it compared various hydropowers scheduling way for the influence of thermal power operation, and the difference of thermal power operation after thinking over the reward hours.Finally, the full text is summarized, and the problem need to be further study is prospected.