2012
DOI: 10.4028/www.scientific.net/amr.622-623.1152
|View full text |Cite
|
Sign up to set email alerts
|

Sensitivity Analysis of Hydroelectric Power Generation from Cascading Reservoirs

Abstract: The cascading reservoirs in Perak, Malaysia, were used to test the sensitivity analysis of hydroelectric power generation during refill and deplete period of the reservoirs. The cascading scheme comprises four reservoirs namely Temenggor, Bersia, Kenering and Chenderoh. The test was conducted after the analysis of water balance and stage-storage relationship of each reservoir in the cascading scheme. The result showed that power generation from the smaller reservoir, Bersia, is more sensitive to the change of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
0
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 9 publications
(9 reference statements)
0
0
0
Order By: Relevance
“…is a mutated member? σ is fixed number usually chosen in the interval [1][2]. F is known as a mutation vector factor and F> 0.…”
Section: Producing Childrenmentioning
confidence: 99%
See 1 more Smart Citation
“…is a mutated member? σ is fixed number usually chosen in the interval [1][2]. F is known as a mutation vector factor and F> 0.…”
Section: Producing Childrenmentioning
confidence: 99%
“…Oliveira & Loucks [1] used the genetic algorithm to optimize the parameters of the exploitation policy in a multi-reservoir system [1]. Asfaw and Hashim used a genetic algorithm to optimize hydroelectricity [2]. Tayebian et al [3] reviewed the performance of the genetic algorithm in order to optimize the hydrogeological reservoir exploitation policy to maximize the hydroelectric power generation.…”
Section: Introductionmentioning
confidence: 99%