OPTIMASI TRANSMISSION EXPANSION PLANNING BERBASIS ALGORITMA GENETIKA DENGAN MEMPERTIMBANGKAN RUGI-RUGI DAYA
Transmission Expansion Planning (TEP) is a basic part of power network planning that determines where, when and how many new transmission lines should be added to the network. Its task is to minimize the network construction and operational cost, while meeting imposed technical, economic and reliabi...
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | Theses and Dissertations NonPeerReviewed |
| 出版: |
[Yogyakarta] : Universitas Gadjah Mada
2014
|
| 主題: | |
| 在線閱讀: | https://repository.ugm.ac.id/128372/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=68714 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | Transmission Expansion Planning (TEP) is a basic part of power network
planning that determines where, when and how many new transmission lines
should be added to the network. Its task is to minimize the network construction
and operational cost, while meeting imposed technical, economic and reliability
constraints. Genetic Algorithms (GAs) have demonstrated the ability to deal with
non-convex, nonlinear, mixed-integer optimization problems, like the TEP
problem, better than a number of mathematical methodologies.
This study is divided into two scenarios, scenario 1 is simulated TEP
without considering power losses and scenario 2 is simulated by considering the
TEP power loss. TEP simulation is applied to the Garver 6 bus system 230 kV and
400 kV. Different value of LLmax (Line Loading maximum) included in TEP
constraints is 50%, 40% and 30%.
Simulation results shows the use of a voltage level of 400 kV is more
economical than the 230 kV. TEP with scenario 1 has the initial investment cost is
lower compared with TEP scenario 2. However, at the time of implementation,
scenario 2 after the 9th year have lower operational costs. LLmax value affects the
number of lines that must be added, smaller value of LLmax the more lines to be
added. |
|---|