GIS-Based Planning and Web/3D Web GIS Applications for the Analysis and Management of MV/LV Electrical Networks (A Case Study in Tunisia)
Source abstract
Abstract
Geographic Information Systems (GISs) have an essential part to play in the management and planning of electricity distribution. Since the management of electricity network data was previously conducted in Tunisia based on paper maps and plans, the purpose of this study is to present a case for the planning of an MV/LV (Medium Voltage/Low Voltage) electrical network in the region of Medjez El Bab (North-West of Tunisia), based on GIS, Web, and 3D Web GIS, to create an intelligent electricity network, which will be a decision-making tool. Analyses of vehicle transport and pedestrian accessibility between installations and a generation of Origin-Destination cost matrix to calculate the average transport distances between the service points were conducted. Moreover, an analysis of the network’s impedance allowed carrying out different scenarios to optimize performance and could obtain more efficient routes. The different analyses carried out were crucial for the maintenance of the electrical network and for future urban planning. A 3D virtual city has been developed to visualize graphical and attribute data for the study area. Web and 3D Web GIS applications that allow the publication of interactive maps on the Web as well as database information have been developed to offer users the possibility of consulting produced products by using the internet. A website related to the study was equally developed to gather the different obtained results.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: 3D Modeling in Geospatial Applications · Geographic Information Systems Studies · Urban Transport and Accessibility
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Geography and Geographic Information Systems, Faculty of Arts and Humanities, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Geomatics Section, Department of Geology, Faculty of Science of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia
References (52)
Show source-provided references
1. Gonen, T. (2014). Electrical Power Transmission System Engineering, Analysis and Design, CRC Press, Taylor and Francis. [3rd ed.].
2. Charging strategies of EV aggregator under renewable generation and congestion: A normalized nash equilibrium approach10.1109/TSG.2015.2477844 ↗
3. Optimal coordination of plug-in electric vehicles in power grids with cost-benefit analysis—Part II: A case study in China10.1109/TPWRS.2013.2252028 ↗
4. Análisis Interorganizacional en la Gobernanza Turística de la Ciudad de Colombia
5. Câmara, A.M.M., Gilberto, S.D.F., and Marília, S.C. (2004). Spatial Analysis and GIS: A Primer, Image Processing Division, National Institute for Space Research (INPE).
6. A GIS-based DRASTIC vulnerability and net recharge reassessment in an aquifer of a semi-arid region (Metline-Ras Jebel-Raf Rafaquifer, Northern Tunisia)10.1016/j.jenvman.2006.04.004 ↗
7. Gutiérrez Pueblo, J., and Gould, M. (1994). SIG: Sistemas de Información Geográfica, Síntesis.
8. Steede-Terry, K. (2000). Integrating GIS and the Global Positioning System, ESRI.
9. Spatial-temporal growth model to estimate the adoption of new end-use electric technologies encouraged by energy-efficiency programs10.1016/j.energy.2019.116531 ↗
10. Geographical information systems as a Tool to assist the electricity distribution Networks planning10.24050/reia.v15i29.1138 ↗
11. GIS for power distribution network: A case study of Karachi, Pakistan
12. GIS and rural electricity planning in Uganda10.1016/j.jclepro.2005.11.057 ↗
13. Putz, S. (1994, January 25–27). Interactive information services using World Wide Web Hypertext. Proceedings of the First International Conference on World Wide Web, Geneva, Switzerland.10.1016/0169-7552(94)90141-4 ↗
14. Longley, P.A., Goodchild, M.F., Maguire, D.J., and Rhind, D.W. (2005). Geographic Information Systems and Science, Wiley. [2nd ed.].
15. Datta, A., and Mohanty, P. (2013, January 24–27). Enterprise GIS and Smart Electric Grid for India’s power sector. Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA.10.1109/ISGT.2013.6497806 ↗
16. Chmit, M. (2014). Conception et réalisation d’une application SIG-WEB pour l’analyse et la gestion des réseaux électriques HTA/BT de la ville de Medjez El Bab. [Master’s Thesis, Université de Tunis El Manar].
17. Assessment for Distribution Network Planning Schemes of Urban Electric Power System10.1016/j.egypro.2011.12.1056 ↗
18. A GIS-based approach for electrification planning—A case study on Nigeria10.1016/j.esd.2015.09.007 ↗
19. Can integration of PV within UK electricity network be improved? A GIS based assessment of storage10.1016/j.enpol.2017.07.054 ↗
20. Development of an enterprise Geographic Information System (GIS) integrated with smart grid10.1016/j.segan.2018.02.001 ↗
21. Rural electrification planning using Geographic Information System (GIS)10.1080/23311916.2020.1836730 ↗
22. (2022, February 10). Office de la Topographie et du Cadastre OTC Topographic Maps 1/25000: Beja S.E (Feuille N° 18), Tebourba S.E (Feuille N° 19), Tebourba S.O (Feuille N° 19), Oued Ezzarga (Feuille N° 26), Oued Ezzarga (Feuille N° 26), Mjaz al Bab NE (Feuille N° 27), Mjaz al Bab NO (Feuille N° 27), Mjaz al Bab SE (Feuille N° 27), Mjaz al Bab SO (Feuille N° 27), 1982 to 1988. Available online: https://www.otc.nat.tn/.
23. Ben Lassoued, T. (2006). Topographic Plans of Medjez El Bab, Scale 1:1000, BETBEL Technical Consultant Office.
24. Maxar Technologies (2022, February 10). Maxar Technologies Awarded Four-Year Global EGD Contract by the U.S. Government for On Demand Access to Mission-Ready Satellite Imagery. Sensor and Systems. Available online: https://www.maxar.com.
25. MERISE: An information system design and development methodology10.1016/0378-7206(83)90032-0 ↗
26. MERISE: A European Methodology for Developing Information Systems10.1057/ejis.1991.33 ↗
27. Sherman, R. (2015). Chapter 8: Foundational Data Modeling. Business Intelligence Guidebook from Data Integration to Analytics, Elsvier.10.1016/B978-0-12-411461-6.00008-3 ↗
28. Perkal, J. (1965). An Attempt at Objective Generalization: Discussion Papers of The Michigan Inter-University Community of Mathematical Geographers, Available online: http://www-personal.umich.edu/~copyrght/image/micmg/perkal2/perkal2.pdf.
29. Tobler, W.R. (1966). Numerical Map Generalization: And, Notes on the Analysis of Geographical Distributions, Department of Geography, University of Michigan.
30. Cartographic Generalization in Multi-scale Environment: Case study of Lamu County, Kenya
31. Hutchinson, M.F. (1988, January 17–19). Calculation of hydrologically sound digital elevation models. Proceedings of the Third International Symposium on Spatial Data Handling, Sydney, Australia.
32. A new procedure for gridding elevation and stream line data with automatic removal of spurious pits10.1016/0022-1694(89)90073-5 ↗
33. Virtual 3D city modeling: Techniques and applications10.5194/isprsarchives-XL-2-W2-73-2013 ↗
34. The variants of an LOD of a 3D building model and their influence on spatial analyses10.1016/j.isprsjprs.2016.03.003 ↗
35. Merging BIM and GIS using ontologies application to urban facility management in ACTIVe3D10.1016/j.compind.2014.07.008 ↗
36. Tekdal-Emniyeti, E., Haefele, K., Isele, J., and Celik, R.N. (2011). 3D documentation of historical sites and buildings for interdisciplinary works; Proc. SPIE 8085. Videometrics, Range Imaging, and Applications XI, International Society for Optics and Photonics.10.1117/12.889516 ↗
37. Internet World Stats (2021, June 18). Usage and Population Statistics. Available online: http://www.internetworldstats.com/stats.htm.
38. Auer, M., and Zipf, A. (2018). 3D WebGIS: From Visualization to Analysis. An Efficient Browser-Based 3D Line-of-Sight Analysis. ISPRS Int. J. Geo-Inf., 7.10.3390/ijgi7070279 ↗
39. Siddiqueea, M.Z.H., Strzalkab, A., and Eicker, U. (2009, January 12–17). Publication of energy consumption data of Scharnhauser park via Web GIS. Proceedings of the Conference of the Applied Geoinformatics for Society and Environment, Stuttgart, Germany.
40. The MayaArch3D project: A 3D WebGIS for analyzing ancient architecture and landscapes10.1093/llc/fqt059 ↗
41. Victor, N. (2021, June 18). Modélisation de l’accessibilité piétonne à Luxembourg-Ville, Rapport de Stage, CEPS/INSTEAD, Master SIG et Gestion de l’Espace, Université Jean Monnet, Saint-Etienne, 54 p. (+ Annexes et Livret Cartographique). Available online: https://www.academia.edu/12162636/Mod%C3%A9lisation_et_visualisation_de_l_accessibilit%C3%A9_pi%C3%A9tonne_%C3%A0_Luxembourg-ville.
42. A GIS-based methodology for identifying pedestrians’ crossing patterns10.1016/j.compenvurbsys.2011.12.005 ↗
43. Alemdar, K.D., Tortum, A., Kaya, Ö., and Atalay, A. (2021). Interdisciplinary evaluation of intersection performances-A microsimulationbased MCDA. Sustainability, 13.10.3390/su13041859 ↗
44. Road network analysis of Guwahati city using GIS10.1007/s42452-019-0907-4 ↗
45. GIS-based spatial analysis of urban traffic accidents: Case study in Mashhad, Iran
46. He, B., Mo, W.X., Hu, J.X., Yang, G., Lu, G.J., and Liu, Y.Q. (2016, January 25–28). Development of power grid Web3D GIS based on Cesium. Proceedings of the IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China.
47. Chang, J.W., Yen, N., and Hung, J.C. (2020). Design and Research on the Management of the Electricity System of WebGIS; Lecture Notes in Electrical Engineering. International Conference on Frontier Computing. FC 2020, Springer.
48. Bridging the Information Gap: A WebGIS Tool for Rural Electrification in Data-scarce Regions10.1016/j.apenergy.2016.03.052 ↗
49. Entriken, R., and Lordan, R. (2012, January 22–26). Impacts of extreme events on transmission and distribution systems. Proceedings of the IEEE Power and Energy Society General Meeting, San Diego, CA, USA.10.1109/PESGM.2012.6345755 ↗
50. Bisello, A., Vettorato, D., Ludlow, D., and Baranzelli, C. (2021). Urban Density and Household-Electricity Consumption: An Analysis of the Italian Residential Building Stock. Smart and Sustainable Planning for Cities and Regions: SSPCR 2019, Springer. Green Energy and Technology.
51. Energy consumption and urban sprawl: Evidence for the Spanish case10.1016/j.jclepro.2017.08.110 ↗
52. Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects10.1007/s10669-021-09822-2 ↗