The Research On Multi-objective Optimal Operation And Multi-attribute Decision Making Of Cascaded Reservoirs

In order to satisfy different economic requirements, Yangtze River basin cascade reservoirs scheduling problems gradually develop towards higher-dimensional, strong coupling and multi-target direction, the traditional scheduling models have been unable to satisfy reservoir flood control, power generation, water supply, ecology and comprehensive benefits summa shipping requirements. Meanwhile, for being watershed by hydrological processes, scheduling and power systems, and many other factors, there is a series of key scientific problems to be solved. Classical optimization theory for solving practical engineering often arises model poor adaptability solutions curse of dimensionality and low accuracy problems, it is needed to improve the changing environment hydrological forecasting prediction accuracy, considering the power generation, flood control, ecological and other reasonable arrangements for the target deployment process water cascade reservoirs to maximize the overall efficiency of water use. Therefore, this article closely relates cascade reservoirs practical engineering applications, takes the establishment of a kind of information science and systems based on the theory of optimal control theory and method to solve nonlinear integrated forecasting Yangtze River runoff correction reservoir flood control, power generation and eco-scheduling and more target joint scheduling and decision-making, and other key scientific and technological problems. This paper studies the content and innovations include:(1) Around the of Hydropower Reservoirs scheduling the actual project requirements, the key scientific issues facing high-precision breakthrough basin runoff forecasting and engineering problems aim to reveal the evolution and trends of watershed runoff cycle variation characteristics, this paper proposes empirical model decomposition based kallman filter revision method for water forcasting. With analysis and evaluation of different hydrological forecasting model geographical adaptive characteristics, it establishes model libraries to adapt to the high-precision forecast of runoff in different prediction model that matches the series-parallel coupling correction technology, make full use of the advantages of the various types of runoff forecasting model, and effectively improve the runoff forecast accuracy.(2) To Pareto optimization as the theoretical basis to study the way for network distributed computing the scheduling model space deconstruction, and explores the variation of the method parameters affect the scheduling model for solving accuracy and efficiency enhancement algorithm for multi-objective optimization applicability of parameter control methods, the use of the chaotic adaptive control theory of partial differential evolution evolutionary process to improve, to avoid the occurrence of the phenomenon of "premature" to a certain extent, to the concept of culture as a framework, adaptive framework based on cultural ideas multi-objective optimization algorithm method, make full use of an external file sets the elitist strategy and distribution of the Pareto front control strategy to maintain the uniformity of the distribution of Pareto front groups of evolutionary convergence between each target Pareto curve or surface.(3) Basin cascade reservoirs joint multi-objective optimization mode of operation, given the multi-objective optimization scheduling modeling quantitative basis from the flood safety, Hennessy-effective, habitat restoration conditions and other decision-making space. Explores the different scheduling periods, different operating conditions cascade hydropower stations each scheduling a balanced manner between the target and the effective protection of cascade reservoirs group of flood control, power generation, ecological and hydro-thermal scheduling system multi-objective optimization scheduling model, the use of control theory and intelligent optimization theory a combination of methods, to optimize multiple targets at the same time efficient solving algorithm, and analyzes the water level, flow, and contribute to the process of compromise scheduling scheme.(4) Consider water, rainfall, engineering conditions and cascade hydropower stations run target focus, identification affect the cascade reservoirs scheduling program preferred key factor calculated by derivation of the entropy weight and the number of contact close to the function of certain typical formula to determine Optimization Decision subjective and objective index weight; differences in knowledge and experience combined with dispatchers, preferences, and decision-making level, the establishment of multi-attribute decision model is proposed based on artificial intelligence technology and multi-attribute decision theory rung for cascade Hydropower reservoirs in flood control, power generation and ecological operation power plant scheduling scheme pros and cons of sorting methods, different run time, the application effect of operating conditions optimized control scheme for the evaluation and optimization of decision-making, to determine the cascade reservoirs scheduling the best solution.