Optimization of Data Communication Networks to Support the Implementation of Smart Grids
Abstract
The problem of optimal resource allocation consists of the distribution of the facilities to satisfy the given criteria in a given scenario. The development of analytical models and/or computational simulations are necessary for the operational viability evaluation of a Smart Grid network and its requirements. Thenceforth, an analytical model based on the graph theory formalized the shown location problem, which was solved through a genetic algorithm that takes into consideration the Smart Grids quality of service requirements. The proposal is efficient since it finds an economically viable topology that met the technical requirements.
Keywords:
resource optimal allocation, Smart Grid, Genetic Algorithm
References
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Alaqeel, T. A. and Suryanarayanan, S. (2019). A comprehensive cost-benefit analysis of the penetration of Smart Grid technologies in the Saudi Arabian electricity infrastruc- ture. Utilities Policy, 60(June):100933.
Choi, B. K. and Kang, D. (2013). Modeling and Simulation of Discrete-Event Systems. John Wiley & Sons.
Dileep, G. (2020). A survey on smart grid technologies and applications. Renewable Energy, 146:2589–2625.
Endler, K. D., Scarpin, C. T., and Steiner, M. T. A. (2017). Algoritmo Genético Para Resolução Do Problema Da Localização De Centros Públicos De Educação Infantil. Xlix Sbpo.
Galli, S., Scaglione, A., and Wang, Z. (2011). For the grid and through the grid: The role of power line communications in the smart grid. Proceedings of the IEEE, 99(6):998– 1027.
Harwood, P. (2018). Clustering-driven equipment deployment planner and analyzer for wireless non-mobile networks applied to smart grid scenarios. Master’s thesis, Federal University of Pará, Belém - PA. An optional note.
Karatas, M., Razi, N., and Tozan, H. (2016). A comparison of p-median and maxi- mal coverage location models with Q-coverage requirement. Procedia Engineering, 149(June):169–176.
Kersting, W. H. (2001). Radial distribution test feeders. Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, 2(WINTER MEETING):908–912.
Melo, P. T. d. L. et al. (2018). Total cost of ownership for communications infrastructure of smart grid. Proceeding of ACM Conference, 1:1–7.
Meng, J., Hu, X., Chen, P., Coffman, D. M., and Han, M. (2020). The unequal contribution to global energy consumption along the supply chain. Journal of Environmental Management, 268(February):110701.
Qi, F., Yu, P., Chen, B., Li, W., Zhang, Q., Jin, D., Zhang, G., and Wang, Y. (2018). Optimal Planning of Smart Grid Communication Network for Interregional Wide-Area Monitoring Protection and Control System. 2018 IEEE International Conference on Energy Internet (ICEI), pages 190–195.
Quiroga, D., Sauma, E., and Pozo, D. (2019). Power system expansion planning under global and local emission mitigation policies. Applied Energy, 239(March 2018):1250–1264.
Sauter, T. and Lobashov, M. (2011). End-to-end communication architecture for smart grids. IEEE Transactions on Industrial Electronics, 58(4):1218–1228.
Thayoob, Y. H. M., Ariffin, A. M., and Sulaiman, S. (2010). Analysis of high frequency wave propagation characteristics in medium voltage XLPE cable model. ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics, (Iccaie):665–670.
Yona, L., Natalia, C. F., et al. (2018). Smart grid communication : Requirements and scada protocols analysis. Simpósio Brasileiro de Sistemas Elétricos (SBSE), 1:1–6.
Zhao, P., Chen, X., Yu, P., Li, W., Qiu, X., and Guo, S. (2017). Risk assessment and optimization for key services in smart grid communication network. Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management, pages 600–603.
Published
2020-06-30
How to Cite
LIMA, Daniel Victor Teixeira; VAZ, Vanilze; DE ALBUQUERQUE JÚNIOR, Francisco ; DA SILVA, Marcelino Silva.
Optimization of Data Communication Networks to Support the Implementation of Smart Grids. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 47. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 210-221.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2020.11330.
