Multi Objective Joint Flood Control Operation Of Cascade Reservoirs And Design Of General Platform

The Yangtze River is the mother river of the Chinese nation.It not only gave birth to the splendid Chinese culture,but also brought great convenience to people’s water,irrigation,and shipping.After the founding of New China,the water resources of the Yangtze River Basin were further developed,and a series of giant reservoirs with the Three Gorges as the core were successively built,which further improved the Yangtze River Basin’s flood control,irrigation,and power generation capabilities.However,while such abundant water resources bring economic benefits,it is also very likely to cause serious floods during the flood season.How to take advantage of the storage capacity of the upper reaches of the Yangtze River during the flood season,ensure the overall flood control safety of the river basin,and make the best use of hydropower to improve economic benefits.This is the research direction of this article.This paper takes the multi-objective optimization algorithm as the starting point to solve the problem,and conducts research on the flood control optimization dispatch of the Three Gorges,and the integrated dispatch of flood control and power generation in the cascade of streams.At the same time,"building a smart water conservancy system and improving water regime forecasting and intelligent dispatching capabilities based on river basins" is an important content and direction of the 14 th FiveYear Plan.This paper establishes a set of distributed water resources management decision support system based on microservices,which highlights the characteristics of digital,intelligent,and refined smart water conservancy.The main research content and innovative results of this paper include:(1)In-depth analysis of the difficulties encountered by the reservoir in flood control during the flood season,the establishment of a multi-objective optimal scheduling model with the lowest water level in front of the dam and the smallest square of the discharge flow of the reservoir as the goal,and the multi-objective genetic algorithm NSGA II to solve the problem.Aiming at the difficulty of handling constraints encountered when solving the model,an initial population generation and cross mutation method inspired by water level corridors and physical friction is proposed.And take the Three Gorges Reservoir as the research object to explore the solution effect of the algorithm.The results show that the noninferior solution set obtained by the algorithm after the improved initial population generation and cross-mutation method has a better effect under the evaluation index of HV.(2)In order to coordinate the conflict between flood control and power generation of cascade reservoirs in flood season,a multi-objective optimal operation model is established,which takes the stream cascade remaining reservoir capacity as the largest,the stream cascade power generation is the largest and the highest flood regulating level of the Three Gorges is the lowest.Taking the water level as the decision variable and the improved NSGA II algorithm as the solution method,the non-inferior solution set of the multi-objective scheduling scheme is deduced.The results further prove the effectiveness of the improved algorithm.The results show that there is an obvious competitive relationship among the stream direction cascade power generation,the stream direction remaining storage capacity and the highest water level in front of the Three Gorges Dam,and the increase of one side’s benefit will be at least at the cost of the deterioration of another index.(3)The fuzzy optimization model of multi-attribute scheme is established,and the evaluation indexes are the remaining storage capacity of the cascade,the maximum outflow of Xiangjiaba,the maximum flood level of the Three Gorges,the cascade power generation and the utilization rate of water energy.The non-inferior solution set scheme is optimized by fuzzy optimization,and the optimal scheme under different decision preference is obtained,which provides decision support for the operation and scheduling of dispatchers.(4)Under the microservice architecture,a high-availability distributed water resources management decision support system has been built.Give full play to the microservices’ "high cohesion,low coupling,and expansion" characteristics,greatly reducing the difficulty of system development,maintenance and expansion,while greatly improving the performance of the system,making it easy to deal with today’s water conservancy informatization big data,Multi-user network environment.At the same time,a set of tokenbased water resources management decision support system network security system is built to fully protect the security of professional data and model interfaces in network transmission.