Research On The Short-term Combined Power Generation Dispatching And System Design Of Cascade Hydropower Station

With the development of cascade hydropower bases in various river basins in China,the development of water conservancy industry has changed from focusing on development to focusing on management.Different from the traditional single hydropower station dispatching,the cascade hydropower station has a very close connection between the upstream and downstream hydropower due to the differences in the hydraulic characteristics of each power station,which leads to the typical high-dimensional,nonlinear and complex constraints of the optimization problem and increase the difficulty of solving the problem.Therefore,this paper focuses on the key scientific problems in the field of short-term power generation optimal dispatching of cascade hydropower stations,using cutting-edge scientific theories and methods,and compiling the day-ahead power generation plan of cascade hydropower stations under two typical dispatch modes: “electricity-based water”and “water-based power” to carry out research work.In this paper,the theoretical method of problem solving was deeply discussed from the perspective of water saving and peak shaving.At the same time,the design and development of short-term generation dispatching system was studied systematically according to the practical application requirements.The main contents of this paper are as follows:(1)In order to reduce the water consumption of the cascade system and save the water resources of the system,a short-term power generation dispatch model with the goal of minimizing the water consumption of the cascade system was established.Aiming at the problems of high dimensionality,nonlinearity,and complex constraints in the process of model solving,a new intelligent algorithm-Stochastic Fractal Search Algorithm was introduced in this paper.Combining SFS with the progressive optimization algorithm,a hybrid search algorithm which took the excellent characteristics of the two algorithms into account was proposed.Finally,the Qingjiang cascade power station was used for verification under the mode of “electricity-based water ”.The results showed the hybrid algorithm could solve the problem efficiently and the optimization result was better.(2)Considering the actual peak load regulation demand of power grid,the difference of peak load regulation characteristics between single hydropower station and cascade hydropower station was analyzed.And the short-term peak load regulation optimal operation model of cascade hydropower station was established with the objective of minimizing the residual load mean square error of receiving end grid.Based on the random fractal search algorithm,an Self-adaptive Chaos Stochastic Fractal Search algorithm was improved and designed.Furthermore,aimed at the problem of complex constraint processing,a dynamic real-time constraint corridor correction strategy was proposed to improve the search efficiency.Finally,a verification calculation was carried out with the Qingjiang cascade hydropower station as the object under the “ water-based power ” mode.The results showed that the proposed algorithm and strategy could meet the peak load demand of power grid,effectively reduce the residual load mean square error of receiving end power grid,and achieve the goal of peak shaving.(3)Aiming at the characteristics of complex model processing logic and diverse calculation control modes,considering the actual needs of short-term power generation dispatching decision-making and based on the above-mentioned peak shaving dispatching model theory,a non-intrusive progressive front-end framework technology dispatching decision application system based on the MVVM model has been developed.Abstract modeling of complex business requirements was carried out using object-oriented design ideas.Based on the principle of modular design,the development of the decision support system for the cross-region peak shaving,absorption and dispatching of the Central China Power Grid was completed.It can provide reliable and powerful technical support for dispatchers to formulate scientific and reasonable peak shaving dispatching plans.