Power Distribution Network Reconfiguration Considering the Transmission System Usage

Authors

Keywords:

Transmission Cost Allocation, Distribution Networks Reconfiguration, Transmission System Usage

Abstract

This paper presents a heuristic reconfiguration algorithm, considering the locational economic signals of the tariffs for the use of the transmission system. Among other aspects, the economic signaling of locational tariffs encourages the rationalization of the use of transmission assets, as well as the reduction of operating costs. Therefore, the proposed algorithm is presented as an optimization problem with a focus on minimizing the transmission system usage. In order to validate the efficiency of the proposed reconfiguration algorithm, the IEEE 33 and 69 nodes test systems are evaluated. In addition, the algorithm is tested for different transmission cost allocation techniques and transmission system capacity scenarios. The results achieved demonstrate the systemic rationalization of the use of assets, which characterize the proposed algorithm as an important tool to avoid the increase in the share of energy transport in the tariff for the final consumer.

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Author Biographies

Felipe Nicoletti Lima, Universidade Federal de Santa Maria

Felipe N. Lima possui graduação em Engenharia Elétrica pela Universidade Regional do Noroeste do Estado do Rio Grande do Sul (2016). Atualmente é mestrando do Programa de Pós-graduação em Engenharia Elétrica da Universidade Federal de Santa Maria. As principais áreas de interesse são: análise e operação de Sistemas Elétricos de Potência.

Moises Machado Santos, Universidade Regional do Noroeste do Estado do Rio Grande do Sul

Moises M. Santos é graduado em Engenharia Elétrica pela Universidade Regional do Noroeste do Estado do Rio Grande do Sul (2005), Mestre em Engenharia Elétrica pela Universidade Federal de Santa Catarina (2008) e Doutor em Engenharia Elétrica pela Universidade Federal de Santa Maria, com período sanduíche na Universidade do Porto, Portugal (2017). Atualmente é professor adjunto da Universidade Regional do Noroeste do Estado do Rio Grande do Sul. Atua nas áreas de planejamento, análise e operação de sistemas de energia elétrica com aplicação de métodos de otimização vinculados ao conceito de Smart Grids.

Marcelo A. Benetti, Universidade Federal de Santa Maria

Marcelo A. Benetti possui graduação em engenharia elétrica pela Universidade Federal de Santa Maria (UFSM), e mestrado pela Universidade Federal de Santa Catarina. Exerceu o cargo de engenheiro na Rio Grande Energia, empresa do Grupo CPFL. Atuou como pesquisador e desenvolvedor de soluções computacionais no Laboratório de Planejamento de Sistemas de Energia Elétrica. Foi também professor do curso de engenharia elétrica da Associação Beneficente da Indústria Carbonífera de Santa Catarina. Atualmente é estudante de doutorado do Programa de Pós-Graduação em Engenharia Elétrica da UFSM no Centro de Excelência em Energia e Sistemas de Potência.

Tafarel Milke, Universidade Federal de Santa Maria

Tafarel F. Milke é graduado em engenharia elétrica pela Universidade Regional do Noroeste do Estado do Rio Grande do Sul (2010) e mestre em engenharia elétrica pela Universidade Federal de Santa Maria (2019). Atualmente é doutorando do Programa de Pós-graduação em Engenharia Elétrica da UFSM. Tem experiência na área de Engenharia Elétrica, atuando em temas de planejamento, análise e operação de sistemas de energia elétrica com aplicação de métodos com Redes Neurais.

Mauricio Sperandio, Universidade Federal de Santa Maria

Mauricio Sperandio é formado em Engenharia Elétrica pela Universidade Federal de Santa Maria - RS, com ênfase em Sistemas Elétricos de Potência, e concluiu mestrado e doutorado em Sistemas de Energia Elétrica pela Universidade Federal de Santa Catarina em 2004 e 2008, respectivamente. Atualmente está na Universidade Federal de Santa Maria, estando como chefe do Depto. de Eletromecânica e Sistemas de Potência. Atua nas áreas de planejamento, análise e operação de sistemas de energia elétrica com aplicação de métodos de otimização. Principal interesse em pesquisa e desenvolvimento na área de transmissão e distribuição, tarifação, redes elétricas inteligentes e microrredes.

References

A.K. Ferdavani, A.B.M. Zin, A.B. Khairuddin and M.M. Naeini, “A review on reconfiguration of radial distribution networks through heuristic methods”, in Proceedings of ICMSAO, Kuala Lumpur, Malaysia, pp. 1–5 (2011).

S. Kalambe and G. Agnihotri, “Loss minimization techniques used in distribution networks: bibliographic review”, in Renew. Sustain. Rev. 29(1), 184–200 (2014).

L. L. Pfitscher, D. P. Bernardon; L. N. Canha, V. F. Montagner, V. J. Garcia and A. R. Abaide, “Intelligent system for automatic reconfiguration of distribution network in real time”, in Electric Power Systems Research, v. 97, p. 84–92, 2013, 10.1016/j.epsr.2012.12.007.

J.F. Franco, M.J. Rider, M. Lavorato and R. Romero, “A mixed integer LPmodel for the reconfiguration of radial electric distribution systems considering distributed generation”, in Electr. Power Syst. Res. 97(1), 51–60 (2013).

Y.K. Wu, C.Y. Lee, L.C. Liu and S.H. Tsai, “Study of reconfiguration for the distribution system with distributed generators”, in IEEE Trans. Power Syst. 25(3), 1678–1685 (2010).

A.M. Imran, M. Kowsalya and D.P. Kothari, “A novel integration technique for optimal network reconfiguration and distributed generation placement in power distribution networks”, in Int. J. Electr. Power Energy Syst. 63(1), 461–472 (2014).

D. P., Bernardon, A. P. C. Mello, L. L. Pfitscher, L. N. Canha, A. R. Abaide and A. A. B. Ferreira, “Real-time reconfiguration of distribution network with distributed generation”, in Electric Power Systems Research, v. 107, p. 59–67, 2014, 10.1016/j.epsr.2013.09.011.

R.S. Rao, K. Ravindra, K. Satish and S.V.L. Narasimham, “Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation”, in IEEE Trans. Power Syst. 28(1), 317–325 (2013).

P. P. Biswas, R. Mallipeddi, P. N. Suganthan and G. A. Amaratunga, “J. Optimal reconfiguration and distributed generator allocation in distribution network using an advanced adaptive differential evolution”, in IEEE Symposium Series on Computational Intelligence (SSCI), 2017, 10.1109/ssci.2017.8280824.

M. A., Heidari, “Optimal network reconfiguration in distribution system for loss reduction and voltage-profile improvement using hybrid algorithm of PSO and ACO”, in CIRED - Open Access Proceedings Journal, v. 1, p 2458–2461, 2017. doi: 10.1049/oap-cired.2017.1007.

S. M. M. Larimi, M. R. Haghifam and A. Moradkhani, “Risk-based reconfiguration of active electric distribution networks”, in IET Generation, Transmission & Distribution, v 10, n 4, p. 1006–1015, 2016, 10.1049/iet-gtd.2015.0777.

A. A. Radwan, M. O. Foda, A.-H. M. Elsayed and Y. S. Mohamed, “Modeling and reconfiguration of middle Egypt distribution network”, in Nineteenth International Middle East Power Systems Conference (MEPCON), 2017, 10.1109/mepcon.2017.8301343.

U. Raut and S. Mishra, “Power distribution network reconfiguration for loss minimization using a new graph theory based genetic algorithm”, in IEEE Calcutta Conference (CALCON), Kolkata, 2017, p. 1-5, 10.1109/CALCON.2017.8280684.

D. Zhang, T. Zhang, X. Xu, Y. Zhou and X. Zhang, "Optimal reconfiguration of the active distribution network with distributed generation and electric vehicle", in The Journal of Engineering, vol. 2017, no. 13, pp. 1453-1456, 2017, doi: 10.1049/joe.2017.0572.

J. Singh and R. Tiwari, "Real power loss minimisation of smart grid with electric vehicles using distribution feeder reconfiguration", in IET Generation, Transmission & Distribution, vol. 13, no. 18, pp. 4249-4261, 17 9 2019, doi: 10.1049/iet-gtd.2018.6330.

C. Shuoya and L. Zheyuan, “Multi-objective Network Reconfiguration Considering V2G of Electric Vehicles in Distribution System with Renewable Energy”, in Energy Procedia, Volume 158, 2019, pp. 278-283, ISSN 1876-6102, https://doi.org/10.1016/j.egypro.2019.01.089.

Z. Guo, Z. Zhou and Y. Zhou, "Impacts of Integrating Topology Reconfiguration and Vehicle-to-Grid Technologies on Distribution System Operation", in IEEE Transactions on Sustainable Energy, vol. 11, no. 2, pp. 1023-1032, April 2020, doi: 10.1109/TSTE.2019.2916499.

S. Mishra, D. Das and S. Paul, “A comprehensive review on power distribution network reconfiguration”, in Energy Syst 8, 227–284 (2017). https://doi.org/10.1007/s12667-016-0195-7

M. M. Santos, A. R. Abaide and M. Sperandio, “Distribution Networks Expansion Planning under the perspective of the locational Transmission Network Use of System tariffs”, in Electric Power Systems Research, v. 128, p. 123–133, 2015, 10.1016/j.epsr.2015.07.008.

F. N. Lima, “Reconfiguração de Redes de Distribuição Considerando Tarifas Locacionais dos Sistemas de Transmissão”, Dissertação (Mestrado em Engenharia Elétrica), Centro de Tecnologia, Universidade Federal de Santa Maria, Santa Maria, Brasil 2020.

M. M. Santos, “Planejamento da Expansão de Sistemas Elétricos de Distribuição Considerando a tarifa da transmissão e aspectos de confiabilidade”, Tese (Doutorado em Engenharia Elétrica), Centro de Tecnologia, Universidade Federal de Santa Maria, Santa Maria, Brasil 2017.

M. Ilic, F. Galiana and L. Fink, “Power Systems Restructuring: Engineering and Economics” in Springer Science+Business Media, 1998.

D. A. Lima, A. Padilha-Feltrin and J. Contreras. “An overview on network cost allocation methods”, in Electric Power Systems Research, v. 79, n. 5, p. 750–758, 2009, 10.1016/j.epsr.2008.10.005.

J. Bialek, “Topological Generation and Load Distribution Factors for Supplement Charge Allocation in Transmission Open Access”, in IEEE Transactions on Power Systems, v. 12, n. 3, p. 1185-1193, 1997, 10.1109/59.630460.

M. Junqueira, L. C. da Costa, L. A. Barroso, G. C. Oliveira, L. M. Thome and M. V. Pereira, “An Aumann-Shapley Approach to Allocate Transmission Service Cost Among Network Users in Electricity Markets”, in IEEE Transactions on Power Systems, v. 22 n. 4, p. 1532–1546, 2007, 10.1109/tpwrs.2007.907133.

F. D. Galiana, A. J. Conejo and H. A. Gil, “Transmission network cost allocation based on equivalent bilateral exchanges”, in IEEE Transactions on Power Systems, v. 18, n. 4, p. 1425–1431, 2003, 10.1109/tpwrs.2003.818689.

H. A. Gil, F. D. Galiana and A. J. Conejo, “Multiarea Transmission Network Cost Allocation”, in IEEE Transactions on Power Systems, v. 20, n. 3, p 1293–1301, 2005, 10.1109/tpwrs.2005.851951.

A. J. Conejo, J. Contreras, D. A. Lima and A. Padilha-Feltrin, “Zbus Transmission Network Cost Allocation”, in IEEE Transactions on Power Systems, v. 22, n. 1, p. 342–349, 2007, 10.1109/tpwrs.2006.889138.

SOUCEFORGE. OpenDSS - EPRI Distribution System Simulator .URL: https://sourceforge.net/projects/electricdss/files/latest/download, Acesso em: Jan, 23, 2021.

MATHWORKS. MATLAB. Acessível: https://www.mathworks.com/products/matlab.html, Acesso em: Jan, 23, 2021.

F. V. Gomes, S. Carneiro, J. L. R. Pereira; M. P. Vinagre, P. A. N. Garcia and L. R Araujo, “A New Heuristic Reconfiguration Algorithm for Large Distribution Systems”, in IEEE Transactions on Power Systems, v. 20, p. 3, 1373–1378, 2005, 10.1109/tpwrs.2005.851937.

B. Amanulla, S. Chakrabarti and S. N. Singh. “Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss”, in IEEE Transactions on Power Delivery, v. 27, n. 2, p. 918–926, 2012, 10.1109/tpwrd.2011.2179950.

R. S. Rao, K. Ravindra, K. Satish and S. V. L. Narasimham, “Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation”, in IEEE Transactions on Power Systems, v 28, n 1, p. 317–325, 2013, 10.1109/tpwrs.2012.2197227.

A. Kouzou and R. D. Mohammedi, “Optimal reconfiguration of a radial power distribution network based on Meta-heuristic optimization algorithms”, in 4th International Conference on Electric Power and Energy Conversion Systems (EPECS), 2015, 10.1109/epecs.2015.7368517.

J. S. Savier and D. Das, “Impact of Network Reconfiguration on Loss Allocation of Radial Distribution Systems”, in IEEE Transactions on Power Delivery, v. 22, n. 4, p. 2473–2480, 2007, 10.1109/tpwrd.2007.905370.

A. Baiat, A. Bagheri and R. Noroozian, “Optimal siting and sizing of distributed generation accompanied by reconfiguration of distribution networks for maximum loss reduction by using a new UVDA-based heuristic method”, in International Journal of Electrical Power & Energy Systems, v. 77, p. 360–371, 2016, 10.1016/j.ijepes.2015.11.039.

K. Sebaa, A. Gelen and H. Nouri, “Cross-entropy method for distribution power systems reconfiguration”, in Engineering Reports, v. 1, p. 1–18, 2019, 10.1002/eng2.12052.

M. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing” in IEEE Transactions on Power Delivery, v. 4, n. 2, p 1401–1407, 1989b, 10.1109/61.25627.

M. E. Baran and F. F. Wu, “Optimal capacitor placement on radial distribution systems”, in IEEE Transactions on Power Delivery, v. 4, n.1, p. 725–734, 1989a, 10.1109/61.19265.

H.-D. Chiang and R. Jean-Jumeau, “Optimal network reconfigurations in distribution systems. II. Solution algorithms and numerical results” in IEEE Transactions on Power Delivery, v. 5, n.3, p 1568–1574,1990, 10.1109/61.58002.

Y. C Huang, “Enhanced-genetic-algorithm-based fuzzy multi-objective approach to distribution network reconfiguration”, in IEE Proceedings - Generation, Transmission and Distribution, v. 149, n. 5, p. 615, 2002, 10.1049/ip-gtd:20020512.

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Published

2021-05-26

How to Cite

Lima, F. N., Santos, M. M., Benetti, M. A., Milke, T., & Sperandio, M. (2021). Power Distribution Network Reconfiguration Considering the Transmission System Usage. IEEE Latin America Transactions, 19(12), 2113–2121. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/5227

Issue

Vol. 19 No. 12 (2021): Ordinary Issue

Section

Articles