Algorithm Research And System Development Of Ecological Intelligent Scheduling For Small Hydropower Group

The constructions of water conservancy brought a great convenience for our lives.However,it caused a series of ecological problems while promoting the social economy.The ecological runoff value is the most important indicators to measure the ecological factors.It's calculated with existing historical hydrological data in the traditional hydr-ological method.Usually,the ecological runoff value of the cascade small hydropower group is very small and can be affected by the extreme weather easily.Therefore,the deviation of the cascade small hydropower group's ecological runoff value is large,which will bring the catastrophic damage to the river.A new method to calculate the ecological runoff value called double quartile ecological flow calculation method is proposed in this thesis.Besides,the grey wolf algorithm is optimized by introducing simulated annealing algorithm and redefining leading wolves.Finally double quartile ecological flow calculation method and simulated annealing grey wolf algorithm will be used in optimal scheduling of cascade small hydropower group to get both the maximum output of generated energy and the maximum assurance rate of ecological water requirement.The main works of this thesis are summarized as follows:(1)According to the situation of Lushui River,a new method to calculate the ecological runoff value called double quartile ecological flow calculation method is proposed.This method will measure ecological runoff value of Lushui River Basin and process the runoff data strictly at first.Then we can use the way to calculate the appropriate ecological runoff value and the basic ecological runoff value of Sheshang hydropower station and Donggu hydropower station can be calculated by double quartile ecological flow calculation method according to the division of wet and dry months.At last,the box flow chart shows the annual runoff of this two hydropower stations.The suitable ecological runoff value calculated by the double quartile ecological flow calculation method will be verified with Tennant method which is a commonly used hydrological method.(2)Some principles of optimal scheduling of cascade small hydropower group are discussed,and different scheduling schemes and results are produced with different scheduling principles.After analysing the common scheduling schemes,a scheduling model considering ecological factors and its constraint conditions are established.Then,a multi-objective optimal scheduling model is established for cascade small hydropower stations,which considers the target of generating capacity and the maximum assurance rate of ecological water requirement.Then the corresponding constraints of the model are introduced.At last,according to the practical problems of cascade small hydropower stations,the common scheduling schemes are analysed,and the multi-objective optimization scheduling model with ecological factors is established for Lushui River Basin.(3)An improved multi-objective gray wolf algorithm(SAMOGWO)is proposed.Compared with single-objective algorithm,the new multi-objective gray wolf algorithm has combined with simulated annealing algorithm optimization and the new leading wolf selection mechanism,which makes the algorithm with stronger global searching ability and faster rate of convergence.The diversity of non-dominated solutions and ductility of SAMOGWO are also improved.Finally,the double quartile ecological flow calculation method and SAMOGWO are applied to the ecological optimal operation of small hydropower stations for both the maximum output of generated energy and the maximum assurance rate of ecological water requirement.(4)Based on the theoretical method proposed in this paper,combined with the current advanced computer application technology,a multi objective ecological optimization scheduling system for small hydropower stations is designed and developed.It provides a more intelligent scheduling decision platform for the scheduling decision makers of small hydropower stations in rural areas.The results show that in the case study of Lushui River Basin,the small hydropower dispatching based on the improved multi-objective gray wolf algorithm can make the power flow of the whole reservoir group smoother and closer to the natural runoff of the river,protecting the ecological environment and improving the hydropower group comprehensive income.