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Isolated Microgrid Management Using a Multi-Agent System


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DOI: https://doi.org/10.15866/iremos.v14i1.18940

Abstract


Solar energy offers a considerable potential for the energy market and it brings many challenges for the actual research. In order to meet the economic and the environmental expectation, the management of an isolated microgrid needs to be more efficient and profitable. In this paper a Multi-Agent System (MAS) is proposed in order to manage an isolated photovoltaic microgrid. The proposed approach presented in this paper improves the management of an isolated decentralized microgrid. It takes in account load voltage constraints, ensures the power demand, reduces chattering phenomenon on the storage system, and it maintains the photovoltaic panel operating in its maximum efficiency point. Finally, the proposed method is evaluated throw three scenarios, and the results are obtained by simulation using MATLAB/Simulink and JADE (Java Agent Development Environment).
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Keywords


Photovoltaic System; Multi-Agent System; Autonomous Microgrid; MATLAB/Simulink; JADE

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References


G Bruni, S Cordiner, M Galeotti, V Mulone, Nobile M, Rocco V, Control strategy influence on the efficiency of a hybrid photovoltaic-battery-fuel cell system distributed generation system for domestic applications, Energy Procedia 2014, 45:237–46.
https://doi.org/10.1016/j.egypro.2014.01.026

Wahjono, E., Anggriawan, D., Sunarno, E., Nugraha, S., Tjahjono, A., Maximum Power Point Tracking of Photovoltaic Module for Battery Charging Based on Modified Particle Swarm Optimization, (2017) International Review on Modelling and Simulations (IREMOS), 10 (1), pp. 77-84.
https://doi.org/10.15866/iremos.v10i1.11174

Conte F, D'Agostino F, Pongiglione P, Saviozzi M, Silvestro F. Mixed-integer algorithm for optimal dispatch of integrated PVstorage systems. IEEE Trans Ind Appl, Vol. 55(Issue 1):238-247, 2019.
https://doi.org/10.1109/tia.2018.2870072

Tian Y, Fan L, Tang Y, Wang K, Li G, Wang H. A coordinated multi-time scale robust scheduling framework for isolated power system with ESU under high RES penetration. IEEE Access, Vol 6:9774-9784, 2018.
https://doi.org/10.1109/access.2018.2792456

Farhat, M., Flah, A., Sbita, L., Photovoltaic Maximum Power Point Tracking Based on ANN Control, (2014) International Review on Modelling and Simulations (IREMOS), 7 (3), pp. 474-480.
https://doi.org/10.15866/iremos.v7i3.1212

E Dursun, O Kilic, Comparative evaluation of different power management strategies of a standalone PV/Wind/PEMFC hybrid power system, Int J Electr Power Energy Syst, Vol. 34(Issue 1):81-9, January 2012.
https://doi.org/10.1016/j.ijepes.2011.08.025

F Zhang, K Thanapalan, A Procter, S Carr, J Maddy, G Premier, Power management control for off-grid solar hydrogen production and utilisation system, Int J Hydrog Energy, Vol. 38(Issue 11):4334-41, April 2013.
https://doi.org/10.1016/j.ijhydene.2013.01.175

M Trifkovic, WA Marvin, M Sheikhzadehy, P Daoutidis, Dynamic real-time optimization and control of a hybrid energy system, European Control Conference (ECC), p. 2669–74, Zurich, July 2003.
https://doi.org/10.23919/ecc.2013.6669394

Amirullah, A., Penangsang, O., Soeprijanto, A., High Performance of Unified Power Quality Conditioner and Battery Energy Storage Supplied by Photovoltaic Using Artificial Intelligent Controller, (2018) International Review on Modelling and Simulations (IREMOS), 11 (4), pp. 221-234.
https://doi.org/10.15866/iremos.v11i4.14742

Attia, H., A Stand-Alone Solar PV System with MPPT Based on Fuzzy Logic Control for Direct Current Portable House Applications, (2018) International Review on Modelling and Simulations (IREMOS), 11 (6), pp. 377-385.
https://doi.org/10.15866/iremos.v11i6.16074

Attia, H., Artificial Neural Networks Based Maximum Power Point Tracking Photovoltaic System for Remote Park LED Lighting Applications, (2018) International Review on Modelling and Simulations (IREMOS), 11 (6), pp. 396-405.
https://doi.org/10.15866/iremos.v11i6.16165

C Bordons, F García-Torres, L Valverde, Optimal Energy Management In Microgrids With Renewable Generation, Rev Iberoam Automática Inf Ind RIAI, Vol. 12(Issue 2):117-32, April 2015.

R Dufo-López, JL Bernal-Agustín, J Contreras, Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage, Renew Energy, Vol. 32(Issue 7):1102-26, June 2007.
https://doi.org/10.1016/j.renene.2006.04.013

S Abedi, A Alimardani, GB Gharehpetian, GH Riahy, SH Hosseinian, A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems, Renew Sustain Energy Rev, Vol. 16(Issue 3):1577-87, April 2012.
https://doi.org/10.1016/j.rser.2011.11.030

Hu W, Wang P, Gooi HB. Toward optimal energy management of microgrids via robust two-stage optimization. IEEE Trans Smart Grid, Vol 9(Issue 2):1161-1174, March 2018.
https://doi.org/10.1109/tsg.2016.2580575

Romero-Quete D, Cañizares CA. An affine arithmetic-based energy management system for isolated microgrids. IEEE Trans Smart Grid, Vol 10:2989-2998, May 2019.
https://doi.org/10.1109/tsg.2018.2816403

Paul, T.G.; Hossain, S.J.; Ghosh, S.; Mandal, P.; Kamalasadan, S. A Quadratic Programming Based Optimal Power and Battery Dispatch for Grid-Connected Microgrid. IEEE Trans Ind. Appl, Vol 54 (Issue 2):1793-1805, March 2018.
https://doi.org/10.1109/tia.2017.2782671

Kumar, K.P.; Saravanan, B. Day ahead scheduling of generation and storage in a microgrid considering demand Side management. Energy Storage, Vol 21:78-86, February 2019.
https://doi.org/10.1016/j.est.2018.11.010

Hadidian MM, Kalam A, Nowdeh S, Ahmadi A, Babanezhad M, Saha S. Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower pollination algorithm. Renew Energy, Vol 135:1412–34, May 2019.
https://doi.org/10.1016/j.renene.2018.09.078

Kozlov A, Tomin N, Sidorov D, Lora E, Kurbatsky V. Optimal operation control of PV-biomass gasifier-diesel-hybrid systems using reinforcement learning techniques. Energies, Vol 13(Issue 10):2632, May 2020.
https://doi.org/10.3390/en13102632

LM Fernandez-Ramírez, P Garcıa-Tribiño, AJ Gil-mena, F Llorens-iborra, F Jurado, CA García-V-azquez, Optimized operation combining costs, efficiency and lifetime of a hybrid renewable energy system with energy storage by battery and hydrogen in grid-connected applications, Int J Hydrog Energy, Vol. 41(Issue 48):23132-44, December 2016.
https://doi.org/10.1016/j.ijhydene.2016.09.140

P García, JP Torreglosa, LM Fernández, F Jurado, Optimal energy management system for stand-alone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic, Int J Hydrog Energy, Vol. 38(Issue 33):14146-58, November 2013.
https://doi.org/10.1016/j.ijhydene.2013.08.106

JP Torreglosa, P García-triviño, LM Fernández-ramirez, F Jurado, Control based on techno-economic optimization of renewable hybrid energy system for stand-alone applications, Exp Syst App, Vol. 51:59-75, June 2016.
https://doi.org/10.1016/j.eswa.2015.12.038

L Valverde, F Pino, F Rosa, Definition, analysis and experimental investigation of operaion modes in hydrogen-renewable-based power plants incorporating hybrid energy storage, Energy Convers Manag, Vol. 113:290-311, April 2016.
https://doi.org/10.1016/j.enconman.2016.01.036

Hossain, M.A.; Pota, H.R.; Squartini, S.; Abdou, A.F. Modified PSO algorithm for real-time energy management in grid-connected microgrids. Renew. Energy, Vol 136:746-757, June 2019.
https://doi.org/10.1016/j.renene.2019.01.005

Ahmad, J.; Imran, M.; Khalid, A.; Iqbal,W.; Ashraf, S.R.; Adnan, M.; Ali, S.F.; Khokhar, K.S. Techno economic analysis of a wind-photovoltaic-biomass hybrid renewable energy system for rural electrification: A case study of Kallar Kahar. Energy, Vol 148:208-234, April 2018.
https://doi.org/10.1016/j.energy.2018.01.133

Firouzmakan P, Hooshmand R, Bornapour M, Khodabakhshian A. A comprehensive stochastic energy management system of micro-CHP units, renewable energy sources and storage systems in microgrids considering demand response programs. Renew Sustain Energy Rev, Vol 108:355–68, July 2019.
https://doi.org/10.1016/j.rser.2019.04.001

EK Hussain, S Member, CM Bingham, D Stone, Hybrid stand-alone renewable energy system with high fuel-cell efficiency and unity power factor, Proceedings of IEEE PES conference on innovative smart grid technologies, pp. 1–6, Middle East (ISGT Middle East), December 2011.
https://doi.org/10.1109/isgt-mideast.2011.6220796

X Li, X Jiao, L Wang, Coordinated power control of wind-PV-fuel cell for hybrid distributed generation systems, SICE annual conference (SICE), 2013, p. 150–5.

JP Torreglosa, P García, LM Fernández, F Jurado, Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system., Renew Energy 2015, 74:326–36.
https://doi.org/10.1016/j.renene.2014.08.010

C Ziogou, D Ipsakis, C Elmasides, F Stergiopoulos, S Papadopoulou, P Seferlis, S Voutetakis, Automation infrastructure and operation control strategy in a standalone power system based on renewable energy sources, J Power Sources, Vol. 196(Issue 22): 9488–99, November 2011.
https://doi.org/10.1016/j.jpowsour.2011.07.029

P García-Triviño, F Llorens-Iborra, CA García-Vázquez, AJ Gil-Mena, LM FernándezRamírez, F Jurado, Long-term optimization based on PSO of a grid-connected renewable energy/battery/hydrogen hybrid system, Int J Hydrog Energy, Vol. 39(Issue 21):10805-16, July 2014.
https://doi.org/10.1016/j.ijhydene.2014.05.064

B Boudiaf, S Zebirate, N Aissani, A Chaker, A Multi-agent Based Platform for Safety Control (Springer, Cham, 2015, pp. 135-143).
https://doi.org/10.1007/978-3-319-15159-5_13


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