Abstract
Significant technological advances in the electric sector have led to complexity increase and created new challenges to transmission expansion planners. On the one hand, the increasing penetration of renewable energy sources impacts the entire network. On the other hand, DC systems have become a favorable and viable option to link some of these sources of energy to the consumer centers. Thus, new models of the network equipment must be incorporated to the Transmission Expansion Planning (TEP) model to take such changes into account in a more accurate way. This research work aims to include AC and multi-terminal DC transmission lines as candidates in the expansion planning process. The AC network model is used and shunt compensation is also taken into account to allow more flexibility to the expansion options. The TEP problem is solved using a combination of nonlinear programming and differential evolution (DE). The results obtained using a 9-bus test network and a modified IEEE-118 bus show the feasibility of this approach.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
| Publisher | IEEE Computer Society |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538622124 |
| DOIs | |
| State | Published - 29 Jan 2018 |
| Event | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States Duration: 16 Jul 2017 → 20 Jul 2017 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2018-January |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 16/07/17 → 20/07/17 |
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/DC Grid
- Differential Evolution
- FACTS
- HVDC
- VSC converter
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