Abstract
In the past years, the Electrical Utility Industry has been confronted with numerous challenges, which include amongst others, the widespread use of distributed energy resources and a public increase in environmental issues. By optimizing the location of switching devices on the electrical distribution system, an improvement in energy not supplied and in the use of distributed energy resources can be obtained. This work proposes the genetic evolutionary algorithm NSGA-II for the multiobjective optimal placement of the switching devices. A trade-off between the investment in switching devices, energy not supplied and greenhouse gas emissions is analyzed, in order to choose the optimal placement of switching devices in distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results are presented and discussed.
Original language | English |
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Title of host publication | 2015 IEEE International Conference on Industrial Technology, ICIT 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2789-2793 |
Number of pages | 5 |
Volume | 2015-June |
Edition | June |
ISBN (Electronic) | 978-1-4799-7800-7 |
DOIs | |
Publication status | Published - 16 Jun 2015 |
Event | 2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain Duration: 17 Mar 2015 → 19 Mar 2015 |
Conference
Conference | 2015 IEEE International Conference on Industrial Technology, ICIT 2015 |
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Country | Spain |
City | Seville |
Period | 17/03/15 → 19/03/15 |
Keywords
- ENS
- Greehouse gas emissions
- Multiobjective optimization
- No-Island operation
- NSGA-II
- Switching devices