Abstract
This paper presents a multi-objective methodology for the Transmission Expansion Planning (TEP) problem when uncertainty in demand and large wind generation is considered. The proposed scheme is based on Reduced Scenario Methodology (RSM) to represent the uncertainty set. An enhanced NSGA-II multi-objective algorithm is used to minimize expansion costs and wind power curtailment, so that a set of Pareto optimal expansion plans are obtained. The performance of the expansion plans is evaluated and compared with previous work to demonstrate the robustness of the proposed approach. Test are carried out on Garver and the IEEE 24-bus RTS systems.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509028757 |
| DOIs | |
| State | Published - 04 Jan 2017 |
| Externally published | Yes |
| Event | 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016 - Morelia, Mexico Duration: 20 Sep 2016 → 24 Sep 2016 |
Publication series
| Name | 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016 |
|---|
Conference
| Conference | 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016 |
|---|---|
| Country/Territory | Mexico |
| City | Morelia |
| Period | 20/09/16 → 24/09/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Multi-objective optimization
- Robust expansion plans
- Transmission planning
- Uncertainty
- Wind generation
Fingerprint
Dive into the research topics of 'Multi-objective transmission expansion planning considering uncertainty in wind power and demand'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver