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官地水库汛期发电优化调度方案研究
引用本文:金新,王晓雷,张海龙,欧阳学金,王小锋,王轩.官地水库汛期发电优化调度方案研究[J].水电能源科学,2015,33(1):52-55.
作者姓名:金新  王晓雷  张海龙  欧阳学金  王小锋  王轩
作者单位:雅砻江流域水电开发有限公司, 四川 成都 610051,雅砻江流域水电开发有限公司, 四川 成都 610051,雅砻江流域水电开发有限公司, 四川 成都 610051,雅砻江流域水电开发有限公司, 四川 成都 610051,雅砻江流域水电开发有限公司, 四川 成都 610051,雅砻江流域水电开发有限公司, 四川 成都 610051
摘    要:为增加水库的多年平均发电量,以官地水库为例,利用电站特征水位、库区回水和移民成果、下游河道防洪现状及洪水预报情况,拟定了根据洪水预报流量确定汛期运行水位的分级预报预泄方案,根据预泄能力约束将汛期运行水位控制在一定范围,在预报流量较大时将水位逐级预降下来,在预报流量较小时将水位逐级回蓄上去。实例应用结果表明,利用汛期发电优化调度方案进行调度后,多年平均发电量由118.7×108kW·h增加为127.6×108kW·h,兴利效益明显,且在一定范围内洪水预见期越长,优化调度方案的发电量越大,但当洪水预见期增加到10h后,库区淹没和电站下游防洪安全会制约发电量的增加。

关 键 词:分级预报预泄    汛期调度    发电优化调度    官地水库

Optimal Operation of Power Generation during Flood Season for Guandi Reservoir
JIN Xin,WANG Xiao-lei,ZHANG Hai-long,OUYANG Xue-jin,WANG Xiao-feng and WANG Xuan.Optimal Operation of Power Generation during Flood Season for Guandi Reservoir[J].International Journal Hydroelectric Energy,2015,33(1):52-55.
Authors:JIN Xin  WANG Xiao-lei  ZHANG Hai-long  OUYANG Xue-jin  WANG Xiao-feng and WANG Xuan
Affiliation:Yalong River Hydropower Development Company Limited, Chengdu 610051, China,Yalong River Hydropower Development Company Limited, Chengdu 610051, China,Yalong River Hydropower Development Company Limited, Chengdu 610051, China,Yalong River Hydropower Development Company Limited, Chengdu 610051, China,Yalong River Hydropower Development Company Limited, Chengdu 610051, China and Yalong River Hydropower Development Company Limited, Chengdu 610051, China
Abstract:Graded pre-discharge operation was drafted so as to increase the average generating electricity for Guandi Reservoir. The graded pre-discharge operation based on forecast was determined by the result of backwater and immigration, current situation of downstream river flood control and flood forecast. Operating level during flood season was related to forecasting. According to the restraint of discharge capacity, operating level during flood season was controlled in a certain range. And operating level during flood season was pre-reduced by degrees when forecasting flow was large, while operating level during flood season was back to the storage by degrees when forecasting flow was small. The results show that the average generating electricity increases from 11.87 billion kW·h to 12.76 billion kW·h. So the utilizable benefit is obvious. In a certain range, generating capacity of optimal operation can be increased by extending flood forecast period. However, when flood forecast period increases to 10 h, the rise in generating capacity is restricted by submerged in the reservoir and downstream flood control safety.
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