Abstract
Recently, the field of energy management is studied and most solutions are based on systems with centralized architectures; the latter is characterized by several advantages, but also disadvantages such as fault tolerance or the adaptability to changes in the SEH. In addition, these systems are often difficult to design because of the “top-down” approach used: the designer usually knows how each element must respond autonomously, but a centralized management system focuses only on the overall system response. A proposal for a solution to this problem is presented in this document; it relates to a distributed management solution based on the paradigm of multi-agent systems (MAS). This solution is based on a “bottom-up” approach to ensure better system reliability. After analyzing the previous work, a description of MAS and communication protocol between agents for energy management in a hybrid energy system (photovoltaic, wind) with energy storage is presented.
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References
Duy-Long, H.: Un système avancé de gestion d’énergie dans le bâtiment pour coordonner production et consommation. Thèse, Institut polytechnique de Grenoble (2007)
Campoccia, A., Dusonchet, L., Telaretti, E., Zizzo, G.: Comparative analysis of different supporting measures for the production of electrical energy by solar PV and wind systems: four representative European cases. Sol. Energy 83(3), 287–297 (2009)
Mohammadi, M., Hosseinian, S.H., Gharehpetian, G.B.: Optimization of hybrid solar energy sources/wind turbine systems integrated to utility grids as microgrid (MG) under pool/bilateral/hybrid electricity market using PSO. Sol. Energy 86(1), 112–125 (2012)
Askarzadeh, A.: Developing a discrete harmony search algorithm for size optimization of wind–photovoltaic hybrid energy system. Sol. Energy 98, 190–195 (2013)
Merei, G., Berger, C., Sauer, D.U.: Optimization of an off-grid hybrid PV-wind-diesel system with different battery technologies using genetic algorithm. Sol. Energy 97, 460–473 (2013)
Bayod-Rujula, A.A., Haro-Larrode, M.E., Martınez-Gracia, A.: Sizing criteria of hybrid photovoltaic–wind systems with battery storage and self-consumption considering interaction with the grid. Sol. Energy 98, 582–591 (2013)
Kremers, E., Gonzalez de Durana, J., Barambones, O.: Multi-agent modeling for the simulation of a simple smart microgrid. Energy Convers. Manage. 75, 643–650 (2013)
Da Rosa, M.A., Leite da Silva, A.M., Miranda, V.: Multi-agent systems applied to reliability assessment of power systems. Int. J. Electr. Power Energy Syst. 42(1), 367–374 (2012)
Pipattanasomporn, M., Feroze, H., Rahman, S.: Securing critical loads in a PV-based microgrid with a multi-agent system. Renew. Energy 39(1), 166–174 (2012)
El-Shater, T.F., Eskander, M.N., El-Hagry, M.T.: Energy flow and management of a hybrid wind/pv/fuel cell generation system. Int. J. Sustain. Energy 25(2), 91–106 (2006)
El-Shater, T.F., Eskander, M.N., El-Hagry, M.T.: Energy flow and management of a hybrid wind/pv/fuel cell generation system. Energy Convers. Manage. 47(9–10), 1264–1280 (2006)
Becherif, M., Paire, D., Miraoui, A.: Energy management of dolar panel and battery system with passive control. In: International Conference on ICCEP 2007 (2007)
Paire, D., Becherif, M., Miraoui, A.: Passivity-based control of hybrid sources applied to a traction system. In: Workshop on Hybrid and Solar Vehicles, Italy (2006)
Roche, R., Idoumghar, L., Suryanarayanan, S., Daggag, M., Solacolu, C.A., Miraoui, A.: A flexible and efficient multi-agent gas turbine power plant energy management system with economic and environmental constraints. Appl. Energy 101, 644–654 (2012)
Lagorse, J., Paire, D., Miraoui, A.: A multi-agent system for energy management of distributed power sources. Renew. Energy 35(1), 174–182 (2010)
Jiang, Z.: Agent-based power sharing scheme for active hybrid power sources. J. Power Sources 177(1), 231–238 (2008)
Wu, K., Zhou, H.: A multi-agent-based energy-coordination control system for grid-connected large-scale wind–photovoltaic energy storage power-generation units. Sol. Energy 107, 245–259 (2014)
Kovaltchouk, T., Blavette, A., Ben Ahmed, H., Multon, B., Aubry, J.: Energy converter farm comparison between centralized and decentralized storage energy management for direct wave. In: Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) (2015)
Saba, D., Laallam, F.Z., Hadidi, A.E., Berbaoui, B.: Contribution to the management of energy in the systems multi renewable sources with energy by the application of the multi agents systems “MAS”. Energy Procedia 74, 616–623 (2015)
Saba, D., Laallam, F.Z., Hadidi, A.E., Berbaoui, B.: Optimization of a multi-source system with renewable energy based on ontology. Energy Procedia 74, 608–615 (2015)
Saba, D., Laallam, F.Z., Belmili, H., Hadidi, A.: Contribution of renewable energy hybrid system control based of multi agent system coordination. In: The Symposium on Complex Systems and Intelligent Computing (CompSIC 2015) (2015)
Omatu, S., Neves, J., Corchado Rodríguez, J.M., González, S.R., Paz Santana, J.F., Gonzalez, S.R. (eds.): Distributed Computing & Artificial Intelligence. AISC, vol. 217. Springer, Heidelberg (2014). doi:10.1007/978-3-319-00551-5
Omatu, S., Bersini, H., Corchado Rodríguez, J.M., González, S.R., Pawlewski, P., Bucciarelli, E. (eds.): Distributed Computing and Artificial Intelligence, 11th International Conference. AISC, vol. 290. Springer, Heidelberg (2014). doi:10.1007/978-3-319-07593-8
Hãkansson, A., Hartung, R., Nguyen, N.T. (eds.): Agent and Multi-agent Technology for Internet and Enterprise Systems. SCI, vol. 289. Springer, Heidelberg (2010). ISBN 978-3-642-13525-5
Ferber, J.: Les Systèmes Multi Agents: vers une intelligence collective. InterEditions IIA, Paris (1995)
Kaczorek, T.: A new formulation and solution of the minimum energy control problem of positive 2D continuous-discrete linear systems. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds.) Recent Advances in Automation, Robotics and Measuring Techniques. AISC, vol. 267, pp. 103–114. Springer, Heidelberg (2014)
Kociszewski, R.: Minimum energy control of fractional discrete-time linear systems with delays in state and control. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds.) Recent Advances in Automation, Robotics and Measuring Techniques. AISC, vol. 267, pp. 127–136. Springer, Heidelberg (2014)
Charif, Y., Sabouret N.: Interaction protocol for service composition in the room. In: JFSMA2006, pp. 253–266 (2006)
Bryson, J., Stein, L.A.: Modularity and specialized learning in the organization of behaviour. In: French, R.M., Sougné, J.P. (eds.) Connectionist Models of Learning, Development and Evolution, pp. 53–62. Springer, Heidelberg (2000)
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Saba, D., Laallam, F.Z., Berbaoui, B., Abanda, F.H. (2017). An Energy Management Approach in Hybrid Energy System Based on Agent’s Coordination. In: Hassanien, A., Shaalan, K., Gaber, T., Azar, A., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016. AISI 2016. Advances in Intelligent Systems and Computing, vol 533. Springer, Cham. https://doi.org/10.1007/978-3-319-48308-5_29
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