Planning of a Resilient Underground Distribution Network Using Georeferenced Data
Abstract
:1. Introduction
2. Resilience on Power Distribution Networks
3. Planning Distribution Networks
3.1. Types of Distribution Network Topology
3.2. Network Planning Based on Theory Graphs
4. Problem Formulation
Algorithm 1 Planning of a Resilent Distribution Network |
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Algorithm 2 Routing of MV network and Switching Equipment Allocation |
|
5. Analysis and Results
5.1. Case Study
5.2. Results
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Nomenclature | Description |
---|---|
Street point positions (Latitude and Longitude) | |
Residential customers’ locations (Latitude and Longitude) | |
Manhole’s position (Latitude and Longitude) | |
Transformer’s position (Latitude and Longitude) | |
RMUs positions (Latitude and Longitude) | |
Distance matrix (variable dimension) | |
Connectivity matrix | |
Variables for loop control | |
Temporary variables | |
Residential customers connected to the nearest manhole | |
Residential customer’ demand | |
Associated manhole demand | |
n | Number of residential customers |
m | Capacity Restriction |
Number of primary feeders | |
Connectivity route for medium Voltage grid and tie-lines | |
Route selection criteria | |
Complementary variables |
Item | Parameter | Value |
---|---|---|
Medium Voltage network | Primary feeders | 3 |
Voltage level | 11 kV | |
Installation Type | Underground Network | |
Network Configuration | Radial with tie points using RMU | |
Conductor size and type | XLPE insulated power cable 3 × 95 mm2 15 kV | |
Ring Main Units | 1 to 4 switchgear cubicles | |
Low Voltage network | Distribution Transformers | Oil Immersed distribution Transformers 11/0.22 kV |
Distribution Transformers Rating | kVA {30, 50, 75, 100, 160, 250, 350, 500, 750, 1000} | |
Voltage level | 0.22 kV | |
Installation Type | Underground Network | |
Network Configuration | Radial | |
Conductor size and type | XLPE insulated power cable 2 kV | |
Deployment features | end users information | 1155 closed-features from OSM |
Total demand | 13.029 MW | |
Associated junction boxes per transformer | # {5, 10, 15,20} | |
Coverage LV network | 100% | |
Coverage MV network | 100% |
Scenario Per Cluster # | Primary Feeder Description | Distance Transformer to End User Average | Coverage LV % | Distribution Transformer # | End Users Per Primary Feeder # | MV Grid Length km | MV Grid Voltage Drop % |
---|---|---|---|---|---|---|---|
SCENARIO A | PRIMARY FEEDER A | 100 | 100 | 32 | 466 | 2.524 | <1.2 |
PRIMARY FEEDER B | 100 | 100 | 30 | 452 | 2.94 | <1.2 | |
PRIMARY FEEDER C | 100 | 100 | 20 | 237 | 2.04 | <1.2 | |
TOTAL | 100 | 100 | 82 | 1155 | 7.484 | <1.2 | |
SCENARIO B | PRIMARY FEEDER A | 200 | 100 | 22 | 318 | 2.572 | <1.2 |
PRIMARY FEEDER B | 200 | 100 | 13 | 306 | 1.799 | <1.2 | |
PRIMARY FEEDER C | 200 | 100 | 20 | 531 | 2.234 | <1.2 | |
TOTAL | 200 | 100 | 55 | 1155 | 6.605 | <1.2 | |
SCENARIO C | PRIMARY FEEDER A | 300 | 100 | 19 | 444 | 2.568 | <1.2 |
PRIMARY FEEDER B | 300 | 100 | 11 | 245 | 1.507 | <1.2 | |
PRIMARY FEEDER C | 300 | 100 | 18 | 466 | 2.039 | <1.2 | |
TOTAL | 300 | 100 | 48 | 1155 | 6.114 | <1.2 | |
SCENARIO D | PRIMARY FEEDER A | 400 | 100 | 16 | 422 | 2.038 | <1.2 |
PRIMARY FEEDER B | 400 | 100 | 12 | 249 | 2.032 | <1.2 | |
PRIMARY FEEDER C | 400 | 100 | 15 | 484 | 1.792 | <1.2 | |
TOTAL | 400 | 100 | 43 | 1155 | 5.862 | <1.2 |
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Valenzuela, A.; Inga, E.; Simani, S. Planning of a Resilient Underground Distribution Network Using Georeferenced Data. Energies 2019, 12, 644. https://doi.org/10.3390/en12040644
Valenzuela A, Inga E, Simani S. Planning of a Resilient Underground Distribution Network Using Georeferenced Data. Energies. 2019; 12(4):644. https://doi.org/10.3390/en12040644
Chicago/Turabian StyleValenzuela, Alex, Esteban Inga, and Silvio Simani. 2019. "Planning of a Resilient Underground Distribution Network Using Georeferenced Data" Energies 12, no. 4: 644. https://doi.org/10.3390/en12040644