Abstract
The Transmission Expansion Planning (TEP) problem is not a new issue, however, most research works presented so far use DC modeling, which can lead to very unrealistic transmission expansion plans. In order to deal with this problem, the use of the AC network model has been proposed recently by very few research works. Solving the TEP using the AC model is an extremely difficult task to deal with. Achieving this task is becoming more important due to the complexity of smart grids. In this work, it is proposed an approach to solve the TEP problem using the AC model and taking into account the (N-1) security assessment criterion. This new approach is based on a new full AC formulation, which takes into account contingencies. The optimization tool used to solve the problem is Differential Evolution (DE) and some tests are performed using the Garver 6-bus test system.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings |
| Editors | Paola Beltran, Andres Aldana |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479962501 |
| DOIs | |
| State | Published - 10 Nov 2014 |
| Externally published | Yes |
| Event | 2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014 - Medellin, Colombia Duration: 10 Sep 2014 → 13 Sep 2014 |
Publication series
| Name | 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings |
|---|---|
| Volume | 2014-October |
Conference
| Conference | 2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014 |
|---|---|
| Country/Territory | Colombia |
| City | Medellin |
| Period | 10/09/14 → 13/09/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- AC Model
- Differential Evolution
- Electric Power Systems
- Meta-heuristic
- Optimization
- Renewable Energy Sources
- Security
- Smart Grids
- Transmission Expansion Planning
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