大型水电站厂内经济运行决策支持系统研究与实现-水利水电工程专业论文.docx

大型水电站厂内经济运行决策支持系统研究与实现-水利水电工程专业论文.docx

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大型水电站厂内经济运行决策支持系统研究与实现-水利水电工程专业论文

华中科技大学硕士学位论文 华 中 科 技 大 学 硕 士 学 位 论 文 II II Abstract Economic operation of large hydropower plant is a kind of complex nonlinear multi-stage optimization decision problem, which is of great significance to improve power quality, optimize power resource and improve economic returns. Study of economic operation of large hydropower plant is dispatching power equipment of power station reasonably to obtain the greatest economic benefits on the premise of safe, reliable, high quality power network. With the growing installed capacity of power stations, it becomes more difficult to solve the decision problem of economical operation of power station, new decision theories and methods to solve the model must be explored. The paper combines the development of economic operation of Three Gorges hydropower station decision support software system, studies the optimization algorithms of economic operation of large-scale hydropower station, which provide new effective ways to solve the problem of economic operation of large-scale hydropower station. The paper establishes mathematical model of economic operation of large-scale hydropower station, proposes an economic operation optimization algorithm based on priority list coupled with successive approximation dynamic programming according to the operation situation of Three Gorges hydropower station. The basic thought is to determine the order of unit commitment according to minimum water consumption per unit, abandon the unit commitment which doesn’t meet the priority list at the stage of determining the start-stop plan of units by using successive approximation dynamic programming algorithm accordding to the optimum operating table, take the place of blindly iteration with directed successive approximation, which effectively reduces the dimension and improves the searching speed. This algorithm reduces the searching time, and improves the searching speed compared to the equal incremental cost algorithm and dynamic programming

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