Reserch On Model Of Autonomic Optimization Dispatch And Its Simulation In Large-Scale Cascaded Delivery Water Project

With climate change and highly-speed development of world economy, the uneven and shortage appearance of water recourse in districts has become urgent problem in society development. Building large-scale multi-stage water transfer project, which span valleys and districts, has become an effective way to tackle it. For it is a sophisticated project, the research of its autonomic optimization scheduling has become an important subject in the field of intelligence optimization.Based on autonomic computing theory and intelligence optimization scheduling method, the paper takes Wanjiazhai Yellow River Diversion Project as background and has research on autonomic optimization scheduling model of large-scale multi-stage water transfer project, which is on the basis of SCSDA system and Hydraulic simulation system. It not only constructs long-term optimization scheduling mathematic model of storage reservoir, but also short-term mathematic model of multi-stage priming pump station. Besides it, the paper designs the algorithm of solving the model with artificial immune and take simulation. Finally, it puts forward the frame and the formalization description of autonomic optimization scheduling system of large-scale multi-stage water transfer project. The research involves such subject as information science, computer science, automatic science, hydraulics simulation and management science. The innovative achievements of the paper can be concluded as following.(1)According to the character and demand of supervision and scheduling of the project, it proposes SCADA system pattern based on centralized dispatcher and decentralized control, It was applied into the design of SCADA system of the project, which provides new clues to SCADA system of large-scale multi-stage water transfer project.(2)According to run schedule of water transfer project, runoff forecast and demand of water supply, it proposes the basic frame and formalization description of autonomic optimization scheduling model, which minimize the cost in water delivery along the line. Based on runoff and change of water demand, it can optimize the scheduling independently.(3)Aimed at runoff of storage reservoir and supply demand, it constructs mathematic model, runoff forecast model based on BP neural network and scheduling knowledge base. It proposes improved immune programming algorithm to solve optimization scheduling model.(4)It deduces subsection hydraulics model of multi-stage water delivery pump station optimization. According to large-scale decomposition-coordination method, it designs optimization scheduling model and its hierarchy clone selection algorithm (HCSA).