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Demand side management of household appliances in stand-alone hybrid photovoltaic system

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  • Kallel, Randa
  • Boukettaya, Ghada
  • Krichen, Lotfi

Abstract

In this paper, a demand side management control (DSM) acting on the load profile for an isolated hybrid photovoltaic/diesel/battery system for residential application was investigated. This control is a new strategy that compensates the global power flow of a distributed generation system. In fact, using the DSM strategy, the renewable energy can be used effectively to satisfy the demand and reduce the size of the system components. It leads to satisfy customers' continuous requirements to minimize the loss of power supply propability (LPSP), to extend the battery life time minimizing the storage system charge cycle, and to reduce fuel consumption and CO2 emission together with the diesel generator operation rate (DGOR). Consequently, the DSM strategy is implemented to ensure the minimum system cost. The DSM algorithm relies on the customer's energy consumption record, the instantaneous available PV energy and the state of charge (SOC) of the battery storage system. This could be achieved through switching between two action modes on the consumption profile: time shifting load mode, amplitude modulation load mode. To prove the effectiveness of the proposed control strategy, two scenarios were investigated. The first one describes the system's simulation for two typical days. The second scenario is performed using annual profiles of photovoltaic and load powers. To highlight the benefits of the proposed strategy for the residential hybrid system applications under various conditions, a comparative study between the power management strategies without and with DSM was presented.

Suggested Citation

  • Kallel, Randa & Boukettaya, Ghada & Krichen, Lotfi, 2015. "Demand side management of household appliances in stand-alone hybrid photovoltaic system," Renewable Energy, Elsevier, vol. 81(C), pages 123-135.
    • Handle: RePEc:eee:renene:v:81:y:2015:i:c:p:123-135
    DOI: 10.1016/j.renene.2015.03.024
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    1. Phuangpornpitak, N. & Kumar, S., 2011. "User acceptance of diesel/PV hybrid system in an island community," Renewable Energy, Elsevier, vol. 36(1), pages 125-131.
    2. Arteconi, A. & Hewitt, N.J. & Polonara, F., 2012. "State of the art of thermal storage for demand-side management," Applied Energy, Elsevier, vol. 93(C), pages 371-389.
    3. Al-Alawi, Ali & Islam, S.M, 2004. "Demand side management for remote area power supply systems incorporating solar irradiance model," Renewable Energy, Elsevier, vol. 29(13), pages 2027-2036.
    4. Matallanas, E. & Castillo-Cagigal, M. & Gutiérrez, A. & Monasterio-Huelin, F. & Caamaño-Martín, E. & Masa, D. & Jiménez-Leube, J., 2012. "Neural network controller for Active Demand-Side Management with PV energy in the residential sector," Applied Energy, Elsevier, vol. 91(1), pages 90-97.
    5. Pina, André & Silva, Carlos & Ferrão, Paulo, 2012. "The impact of demand side management strategies in the penetration of renewable electricity," Energy, Elsevier, vol. 41(1), pages 128-137.
    6. Akikur, R.K. & Saidur, R. & Ping, H.W. & Ullah, K.R., 2013. "Comparative study of stand-alone and hybrid solar energy systems suitable for off-grid rural electrification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 738-752.
    7. Yamegueu, D. & Azoumah, Y. & Py, X. & Zongo, N., 2011. "Experimental study of electricity generation by Solar PV/diesel hybrid systems without battery storage for off-grid areas," Renewable Energy, Elsevier, vol. 36(6), pages 1780-1787.
    8. Thiaux, Y. & Seigneurbieux, J. & Multon, B. & Ben Ahmed, H., 2010. "Load profile impact on the gross energy requirement of stand-alone photovoltaic systems," Renewable Energy, Elsevier, vol. 35(3), pages 602-613.
    9. Khatib, Tamer & Mohamed, Azah & Sopian, K., 2013. "A review of photovoltaic systems size optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 454-465.
    10. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2009. "Sizing optimization of a stand-alone street lighting system powered by a hybrid system using fuel cell, PV and battery," Renewable Energy, Elsevier, vol. 34(3), pages 683-691.
    11. Abedi, S. & Alimardani, A. & Gharehpetian, G.B. & Riahy, G.H. & Hosseinian, S.H., 2012. "A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1577-1587.
    12. Shaahid, S.M. & Elhadidy, M.A., 2008. "Economic analysis of hybrid photovoltaic-diesel-battery power systems for residential loads in hot regions--A step to clean future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 488-503, February.
    13. Alagoz, B.B. & Kaygusuz, A. & Karabiber, A., 2012. "A user-mode distributed energy management architecture for smart grid applications," Energy, Elsevier, vol. 44(1), pages 167-177.
    14. Kyriakarakos, George & Piromalis, Dimitrios D. & Dounis, Anastasios I. & Arvanitis, Konstantinos G. & Papadakis, George, 2013. "Intelligent demand side energy management system for autonomous polygeneration microgrids," Applied Energy, Elsevier, vol. 103(C), pages 39-51.
    15. Daud, Abdel-Karim & Ismail, Mahmoud S., 2012. "Design of isolated hybrid systems minimizing costs and pollutant emissions," Renewable Energy, Elsevier, vol. 44(C), pages 215-224.
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    5. Khemakhem, Siwar & Rekik, Mouna & Krichen, Lotfi, 2019. "Double layer home energy supervision strategies based on demand response and plug-in electric vehicle control for flattening power load curves in a smart grid," Energy, Elsevier, vol. 167(C), pages 312-324.
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    7. Bo Wang & Yanjing Li & Fei Yang & Xiaohua Xia, 2019. "A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems," Complexity, Hindawi, vol. 2019, pages 1-15, October.
    8. Jing Wang & Kaitlyn Garifi & Kyri Baker & Wangda Zuo & Yingchen Zhang & Sen Huang & Draguna Vrabie, 2020. "Optimal Renewable Resource Allocation and Load Scheduling of Resilient Communities," Energies, MDPI, vol. 13(21), pages 1-29, October.
    9. Kaygusuz, Asim, 2019. "Closed loop elastic demand control by dynamic energy pricing in smart grids," Energy, Elsevier, vol. 176(C), pages 596-603.
    10. Roy, Anthony & Auger, François & Dupriez-Robin, Florian & Bourguet, Salvy & Tran, Quoc Tuan, 2020. "A multi-level Demand-Side Management algorithm for offgrid multi-source systems," Energy, Elsevier, vol. 191(C).

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