Development of the cascading module for hydro energy decision support system (HEDSS) for Temenggor-Bersia-Kenering power plants
Reservoir operation has generate electric power for Tenaga Nasional Berhad for a few decades now, yet the solution to ease daily operation in making decision pertaining to the power optimization remain problematic. Despite development of new techniques, implicit stochastic optimization models usi...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
2002
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/8691/1/FSKTM_2002_9%20IR.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Reservoir operation has generate electric power for Tenaga Nasional Berhad for
a few decades now, yet the solution to ease daily operation in making decision
pertaining to the power optimization remain problematic. Despite development of
new techniques, implicit stochastic optimization models using linear programming
(LP) remain one of the most readily applicable to the analysis of complex system.
However, optimization calculation using manual approach consumes ample of
time. This dissertation presents the development of an automation system
(HEDSS) to ease the optimization calculation. The scope however is limited to
the cascading module. The proposed method is implemented using Waterfall
model of System Development Life Cycle (SDLC). The power plants chosen
were Temengor, Kenering, Bersia; three cascading reservoirs at Sg.Perak. The
method is demonstrated by comparing approach done manually versus
automation. The objective function is to minimized the economic cost in
hydropower plants operations. A generalized network flow algorithm is used to
find the optimal solution. |
|---|