Relationships between Hydropower Generation and Rainfall-Gauged and Ungauged Catchments from Sri Lanka

被引:2
|
作者
Perera, Anushka [1 ]
Rathnayake, Upaka [1 ]
机构
[1] Sri Lanka Inst Informat Technol, Dept Civil Engn, Fac Engn, Colombo, Sri Lanka
关键词
NEURAL-NETWORK; MINI-HYDRO; FLOW TURBINES; PREDICTION; POWER; MICROHYDRO; SYSTEMS; BASIN;
D O I
10.1155/2020/9650251
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The relationship between the rainfall and minihydropower generation in a catchment is highly nonlinear. Therefore, the prediction of minihydropower generation is complex. However, the prediction is important in optimizing the control of electricity generation under various environmental conditions. Ongoing climate variabilities have completely changed the minihydropower generation to some parts of the world, and it is significant. Therefore, this paper presents results from two soft-computing studies in searching the relationships between rainfall and the generated hydropower. The first study was carried out for a gauged catchment; however, the second was carried for an ungauged catchment. Results revealed that there is an acceptable correlation in between the rainfall and hydropower generation for the gauged catchment and a marginal contribution to the ungauged catchment.
引用
收藏
页数:8
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