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| Content Provider | IET Digital Library |
|---|---|
| Author | Canizes, Bruno Soares, João Vale, Zita Lobo, Cristina |
| Abstract | This study proposes a new methodology to increase the power delivered to any load point in a radial distribution network, through the identification of new investments in order to improve the repair time. This research work is innovative and consists in proposing a full optimisation model based on mixed-integer non-linear programming considering the Pareto front technique. The goal is to achieve a reduction in repair times of the distribution networks components, while minimising the costs of that reduction as well as non-supplied energy costs. The optimisation model considers the distribution network technical constraints, the substation transformer taps, and it is able to choose the capacitor banks size. A case study based on a 33-bus distribution network is presented in order to illustrate in detail the application of the proposed methodology. |
| Starting Page | 2565 |
| Ending Page | 2574 |
| Page Count | 10 |
| ISSN | 17518687 |
| Volume Number | 9 |
| e-ISSN | 17518695 |
| Issue Number | Issue 16, Dec (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/9/16 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.1196 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2015-12-03 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 33-bus Distribution Network Capacitor Bank Cost Minimisation Cost Reduction Distribution Network Integer Programming Investment Mixed-integer Nonlinear Programming Multicriteria Optimisation Approach Nonlinear Programming Nonsupplied Energy Cost Optimisation Model Optimisation Technique Pareto Front Technique Pareto Optimisation Power Capacitor Power Delivery Radial Distribution Network Substation Transformer Tap Substations Transformer |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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