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出 处:《天津大学学报》2006年第5期523-526,共4页Journal of Tianjin University(Science and Technology)
基 金:教育部博士点专项基金资助项目(20020056029).
摘 要:以天津大学建筑工程学院确定的李家峡水电站机组的不利工况区为依据,以近几年来该水电站的实际运行经验为参考,在综合考虑机组初始运行状态、机组振动特性、机组出力、下泄流量、水库蓄水量和电网负荷平衡等因素的基础上对李家峡水电站的厂内经济运行进行了研究.兼顾机组的运行效率和状态,建立了数学模型,并用改进自适应遗传算法对其进行了求解.运用上述方法,分别以3条特征日负荷曲线为依据对李家峡水电站的厂内运行进行了优化,并得到其负荷分配方案.优化结果使电站的效率和机组的运行状态都得到了显著改善,同时结果可作为李家峡水电站运行人员的操作依据.The inner-plant economical operation of Lijiaxia hydropower station is studied based on the disadvantageous operating mode area of the units determined by School of Civil Engineering of Tianjin University and the actual operating experience of the Lijiaxia hydropower station in the last a few years. Taking many factors into account, such as initial operating states, vibration traits and the outputs of the units, the discharge and the capacity pondage of the reservoir, and the load balance of the electric network, and giving attention to both operating efficiency and states of the units, the inner-plant economical operation model of Lijiaxia hydropower station is established and solved using an improved adaptive genetic algorithm. With the proposed method, the internal operation of Lijiaxia hydropower station is optimized and the optimized load distribution is derived based on three characteristic daily load curves. The optimized resuhs can greatly improve the operating efficiency and states of the units, and the results are usable for the operational personnel.
关 键 词:水电站 经济运行 机组运行状态 改进自适应遗传算法
分 类 号:TV737[水利工程—水利水电工程]
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