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A Multi-agent Approach for Decentralized Voltage Regulation in Micro Grids by Considering Distributed Generators

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Engineering Multi-Agent Systems (EMAS 2023)

Abstract

Distributed generators (DGs) are considered as significant components to modern micro grids because they can provide instant and renewable electric power to consumers without using transmission networks. However, the use of DGs may affect the use of voltage regulators in a micro grid because the DGs are usually privately owned and cannot be centrally managed. In this paper, an innovative multi-agent approach is proposed to perform automatic and decentralized control of distributed electric components in micro grids for the voltage regulation purpose. Autonomous software agents are employed to make local optimal decisions on voltage regulation by considering multiple objectives and local information; and agent-based communication and collaboration are employed toward a global voltage regulation through dynamic task allocation. The proposed approach contains three layers for representing the physical micro grid, the multi-agent system and the human-computer interface, and is implemented by using three Java-based packages, i.e. InterPSS, JADE and JUNG respectively.

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References

  • Al Faiya, B., et al.: A self-organizing multi-agent system for distributed voltage regulation. IEEE Trans. Smart Grid 12(5), 4102–4112 (2021)

    Article  Google Scholar 

  • Basak, P., Chowdhury, S., Halder nee Dey, S., Chowdhury, S.P.: A literature review on integration of distributed energy resources in the perspective of control, protection and stability of microgrid. Renew. Sustain. Energy Rev. 16(8), 5545–5556 (2012)

    Article  Google Scholar 

  • Deshmukh, S., Natarajan, B., Pahwa, A.: Voltage/VAR control in distribution networks via reactive power injection through distributed generators. IEEE Trans. Smart Grid 3(3), 1226–1234 (2012)

    Article  Google Scholar 

  • Fakham, H., Colas, F., Guillaud, X.: Real-time simulation of multi-agent system for decentralized voltage regulation in distribution network. In: IEEE Power and Energy Society General Meeting, pp. 1–7 (2011)

    Google Scholar 

  • Farag, H.E.Z., El-Saadany, E.F., Seethapathy, R.: A two ways communication-based distributed control for voltage regulation in smart distribution feeders. IEEE Trans. Smart Grid 3(1), 271–281 (2012)

    Article  Google Scholar 

  • Gayathri Devi, K.S.: Hybrid genetic algorithm and particle swarm optimization algorithm for optimal power flow in power system. J. Comput. Mech. Power Syst. Control 2, 31–37 (2019)

    Article  Google Scholar 

  • León, L.F., Martinez, M., Ontiveros, L.J., Mercado, P.E.: Devices and control strategies for voltage regulation under influence of photovoltaic distributed generation. A review. IEEE Latin Am. Trans. 20(5), 731–745 (2022)

    Article  Google Scholar 

  • Li, H., Li, F., Xu, Y., Rizy, D.T., Kueck, J.D.: Adaptive voltage control with distributed energy resources: algorithm, theoretical analysis, simulation, and field test verification. IEEE Trans. Power Systems 25(3), 1638–1647 (2010)

    Article  Google Scholar 

  • Ramchurn, S.D., Vytelingum, P., Rogers, A., Jennings, N.R.: Agent-based homeostatic control for green energy in the smart grid. ACM Trans. Intell. Syst. Technol. 2(4), 35 (2011)

    Article  Google Scholar 

  • Razavi, S.-E., et al.: Impact of distributed generation on protection and voltage regulation of distribution systems: a review. Renew. Sustain. Energy Rev. 105, 157–167 (2019)

    Article  Google Scholar 

  • Rogers, A., Ramchurn, S.D., Jennings, N.R.: Delivering the smart grid: challenges for autonomous agents and multi-agent systems research. In: Proceedings of the 26th AAAI Conference on Artificial Intelligence, pp. 2166–2172 (2012)

    Google Scholar 

  • Shaheen, A.M., El-Sehiemy, R.A.: Optimal coordinated allocation of distributed generation units/capacitor banks/voltage regulators by EGWA. IEEE Syst. J. 15(1), 257–264 (2020)

    Article  Google Scholar 

  • Spatti, D.H., da Silva, I.N., Usida, W.F., Flauzino, R.A.: Real-time voltage regulation in power distribution system using fuzzy control. IEEE Trans. Power Deliv. 25(2), 1112–1123 (2010)

    Article  Google Scholar 

  • JUNG Development Team. Java universal network/graph framework (2016)

    Google Scholar 

  • Trip, S., Cucuzzella, M., Cheng, X., Scherpen, J.: Distributed averaging control for voltage regulation and current sharing in DC microgrids. IEEE Control Syst. Lett. 3(1), 174–179 (2018)

    Article  MathSciNet  Google Scholar 

  • Ufa, R.A., Malkova, Y.Y., Rudnik, V.E., Andreev, M.V., Borisov, V.A.: A review on distributed generation impacts on electric power system. Int. J. Hydrogen Energy 47(47), 20347–20361 (2022)

    Article  Google Scholar 

  • Wang, L., Yan, R., Saha, T.K.: Voltage regulation challenges with unbalanced PV integration in low voltage distribution systems and the corresponding solution. Appl. Energy 256, 113927 (2019)

    Article  Google Scholar 

  • Wang, S., et al.: A data-driven multi-agent autonomous voltage control framework using deep reinforcement learning. IEEE Trans. Power Syst. 35(6), 4644–4654 (2020)

    Article  Google Scholar 

  • Wang, J., Xu, W., Gu, Y., Song, W., Green, T.C.: Multi-agent reinforcement learning for active voltage control on power distribution networks. In: Advances in Neural Information Processing Systems, vol. 34, pp. 3271–3284 (2021)

    Google Scholar 

  • Wang, R., Ma, D., Li, M.-J., Sun, Q., Zhang, H., Wang, P.: Accurate current sharing and voltage regulation in hybrid wind/solar systems: an adaptive dynamic programming approach. IEEE Trans. Consum. Electron. 68(3), 261–272 (2022)

    Article  Google Scholar 

  • Yu, L., Czarkowski, D., de León, F.: Optimal distributed voltage regulation for secondary networks with DGs. IEEE Trans. Smart Grid 3(2), 959–967 (2012)

    Article  Google Scholar 

  • Zhou, M., Yan, J., Feng, D.: Digital twin framework and its application to power grid online analysis. CSEE J. Power Energy Syst. 5(3), 391–398 (2019)

    Google Scholar 

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Correspondence to Fenghui Ren .

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Ren, F., Yan, J. (2023). A Multi-agent Approach for Decentralized Voltage Regulation in Micro Grids by Considering Distributed Generators. In: Ciortea, A., Dastani, M., Luo, J. (eds) Engineering Multi-Agent Systems. EMAS 2023. Lecture Notes in Computer Science(), vol 14378. Springer, Cham. https://doi.org/10.1007/978-3-031-48539-8_10

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  • DOI: https://doi.org/10.1007/978-3-031-48539-8_10

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  • Online ISBN: 978-3-031-48539-8

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