Reactive multi-agent system applied to self-healing in Smart Grids


  • Italo Ramon da Costa Campos Universidade Federal do Pará
  • Filipe Saraiva Universidade Federal do Pará



Discentralized algorithm, Multiagent system, Self-healing, Smart grids


This paper presents a decentralized algorithm for application in the smart grids self-healing problem, at the distribution level. The algorithm implementation is made using a reactive multi-agent system, which models the electrical grid in terms of autonomous agents which perform the algorithm operations in a distributed and parallel way. To validate this algorithm, two distribution network test models are used: a 15 bus model and a 33 bus model — standardized by IEEE. The results are obtained by means of computational simulation and shown in this paper, to each one of the network models. The results show that the proposed approach is able to recover all the nodes of the grid, within the simulation conditions. Moreover, it is seen that the multi-agent system directs the work load exactly to the failure point, preventing the involvement of the entire grid to the self-healing process.


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SARAIVA, F. d. O. Aplicacoes hibridas entre sistemas multiagentes e tecnicas de inteligencia artificial para redes inteligentes de distribuicao de energia eletrica. 154 p. Tese (Thesis) — Universidade de Sa ̃o Paulo, Sa ̃o Carlos, jun 2016. Dispon ́ıvel em: ⟨ 18154/tde-06062016-094659/⟩.

LARIK, R. M.; MUSTAFA, M. W. Technologies Used in Smart Grid to Implement Power Distribution System. TELKOMNIKA Indonesian Journal of Electrical Engineering, v. 16, n. 2, p. 232–237, 2015. Disponıvel em: ⟨{ } Technologies{ }Used{ }in{ }Smart{ }Grid{ } to{ }Implement{ }P⟩.

JIA, D.; MENG, X.; SONG, X. Study on technology system of self-healing control in smart distribution grid. In: 2011 International Conference on Advanced Power System Auto- mation and Protection. Beijing: IEEE, 2011. p. 26–30. Disponivel em: ⟨⟩.

SIANO, P. Demand response and smart grids—a survey. Renewable and Sustainable Energy Reviews, v. 30, p. 461 – 478, 2014. Disponivel em: ⟨ science/article/pii/S1364032113007211⟩.

MOTAMEDI, A.; ZAREIPOUR, H.; ROSEHART, W. D. Electricity Price and Demand Forecasting in Smart Grids. IEEE Transactions on Smart Grid, v. 3, n. 2, p. 664–674, jun 2012. Disponivel em: ⟨ 6204245/⟩.

RAHIMI, F.; IPAKCHI, A. Demand Response as a Market Resource Under the Smart Grid Paradigm. IEEE Transactions on Smart Grid, v. 1, n. 1, p. 82–88, jun 2010. Disponivel em: ⟨⟩.

NAGATA, T.; OKAMOTO, K. A decentralized distribution power system restoration by using multi-agent Approach. In: 2014 International Electrical Engineering Congress (iEECON). IEEE, 2014. p. 1–4. Disponivel em: ⟨http: //⟩.

MISHRA, R. K.; SWARUP, K. S. Smart distribution network restoration using multi agent system. In: 2016 National Power Systems Conference (NPSC). Bhubaneswar, India: IEEE, 2016. p. 1–6. Disponivel em: ⟨ org/document/7858875/⟩.

COULOURIS, G. et al. Sistemas Distribuidos - 5ed: Conceitos e Projeto. [S.l.]: Bookman Editora, 2013.

FERREIRA, L. R. et al. Solucao do problema de self-healing para redes de distribuicao radiais atraves de otimizaçao via algoritmo genetico. In: Simpo ́sio Brasileiro de Automacao Inteligente 2013, UFC. Fortaleza: [s.n.], 2013. Disponivel em: ⟨⟩.

MAHDI, M.; GENC, V. M. I. A Real-Time Self-Healing Methodology Using Model- and Measurement-Based Islanding Algorithms. IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers Inc., v. 10, n. 2, p. 1195–1204, mar 2019. Disponivel em: ⟨https://ieeexplore.⟩.

Augusto de Souza, F. et al. A Multiagent Framework for Self-Healing Mechanisms Considering Priority-Based Load Shedding and Islanding with Distributed Generation in Smart Distribution Grids. IEEE Latin America Transactions, v. 15, n. 4, p. 632–638, apr 2017. Disponıvel em: ⟨http://ieeexplore.⟩.

SHARMA, A.; SRINIVASAN, D.; TRIVEDI, A. A Decentralized Multi-Agent Approach for Service Restoration in Uncertain Environment. IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers Inc., v. 9, n. 4, p. 3394–3405, jul 2018. Disponivel em: ⟨https: //⟩.

NETWORKED Microgrids for Self-Healing Power Systems. IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers Inc., v. 7, n. 1, p. 310–319, jan 2016. Disponivel em: ⟨ 7127033/⟩.

BARAN, M.; WU, F. Network reconfiguration in distri- bution systems for loss reduction and load balancing. IEEE Transactions on Power Delivery, v. 4, n. 2, p. 1401–1407, apr 1989. Disponivel em: ⟨ 25627/⟩.

CAMPOS, I. Aplicacao de Sistemas Multiagentes ao Problema de Autorrecuperacao em Sistemas Eletricos de Distribuicao do tipo Smart Grid. 96 p. Dissertacao (TCC) — Faculdade de Computacao, Universidade Federal do Para ́, Bele ́m, 2018.

BELLIFEMINE, F.; CAIRE, G.; GREENWOOD, D. Developing multiagent systems with JADE. Liverpool: Jhon Wiley & Sons, 2007.

WOOLDRIDGE, M. An Introduction to MultiAgent Systems. [S.l.]: Wiley, 2009.

REN, Y. et al. Agent-based restoration approach for re- liability with load balancing on smart grids. Applied Energy, v. 249, p. 46–57, sep 2019. Disponıvel em: ⟨https://linkinghub.⟩.

TORRES, B. S.; FERREIRA, L. R.; AOKI, A. R. Distributed Intelligent System for Self-Healing in Smart Grids. IEEE Transactions on Power Delivery, IEEE, v. 33, n. 5, p. 2394–2403, oct 2018. Dispon ́ıvel em: ⟨ org/document/8375649/⟩.

KERSTING, W. Distribution System Modeling and Analysis. Boca Raton: CRC Press, 2012.

MEIER, A. von. Electric Power Systems: A Conceptual Introduction. [S.l.]: Wiley, 2006. (Wiley Survival Guides in Engineering and Science).

JADE. Java Agent Development Framework (version 4.5.0). 2017. ⟨⟩.




How to Cite

Campos, I. R. da C., & Saraiva, F. (2020). Reactive multi-agent system applied to self-healing in Smart Grids. Revista De Informática Teórica E Aplicada, 27(2), 127–139.



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