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Improving operation constraints of microgrid using PHEVs and renewable energy sources

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  • Moradi, Mohammad Hassan
  • Abedini, Mohammad
  • Hosseinian, S. Mahdi

Abstract

An increase in the number of Plug-in Hybrid Electric Vehicles (PHEVs) might negatively affect the performance of Microgrid (MG) such as, reducing power quality and efficiency, increasing power losses and voltage variations, and increasing customers' energy prices. An effective selection of the capacity and location of charging stations helps in reducing such negative impact. This paper proposes a method for finding the optimal location and capacity of PHEVs charging stations along with the optimal location of renewable energy sources (RESs). A multi-objective function including charging/discharging costs, losses, and voltage profile is adopted to formulate the paper problem. Differential Evolution algorithm is used to solve the proposed objective function. By applying the proposed method into a 69-bus network its performance is assessed. The simulation results support the effectiveness of the proposed method.

Suggested Citation

  • Moradi, Mohammad Hassan & Abedini, Mohammad & Hosseinian, S. Mahdi, 2015. "Improving operation constraints of microgrid using PHEVs and renewable energy sources," Renewable Energy, Elsevier, vol. 83(C), pages 543-552.
    • Handle: RePEc:eee:renene:v:83:y:2015:i:c:p:543-552
    DOI: 10.1016/j.renene.2015.04.064
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    References listed on IDEAS

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    1. Moradi, Mohammad H. & Eskandari, Mohsen, 2014. "A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids considering uncertainty in electricity price forecasting," Renewable Energy, Elsevier, vol. 68(C), pages 697-714.
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    Cited by:

    1. Suganya, S. & Raja, S. Charles & Venkatesh, P., 2017. "Simultaneous coordination of distinct plug-in Hybrid Electric Vehicle charging stations: A modified Particle Swarm Optimization approach," Energy, Elsevier, vol. 138(C), pages 92-102.
    2. Bhatti, Abdul Rauf & Salam, Zainal, 2018. "A rule-based energy management scheme for uninterrupted electric vehicles charging at constant price using photovoltaic-grid system," Renewable Energy, Elsevier, vol. 125(C), pages 384-400.
    3. Heba M. Abdullah & Rashad M. Kamel & Anas Tahir & Azzam Sleit & Adel Gastli, 2020. "The Simultaneous Impact of EV Charging and PV Inverter Reactive Power on the Hosting Distribution System’s Performance: A Case Study in Kuwait," Energies, MDPI, vol. 13(17), pages 1-22, August.
    4. Abdi, Hamdi & Beigvand, Soheil Derafshi & Scala, Massimo La, 2017. "A review of optimal power flow studies applied to smart grids and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 742-766.
    5. Foroutan, Vahid B. & Moradi, Mohammad H. & Abedini, Mohammad, 2016. "Optimal operation of autonomous microgrid including wind turbines," Renewable Energy, Elsevier, vol. 99(C), pages 315-324.
    6. Esmaeli, Abdolreza & Abedini, Mohammad & Moradi, Mohammad H., 2016. "A novel power flow analysis in an islanded renewable microgrid," Renewable Energy, Elsevier, vol. 96(PA), pages 914-927.
    7. Abedini, Mohammad & Moradi, Mohammad H. & Hosseinian, S. Mahdi, 2016. "Optimal management of microgrids including renewable energy scources using GPSO-GM algorithm," Renewable Energy, Elsevier, vol. 90(C), pages 430-439.
    8. Muhammad Shahzad Nazir & Zhang Chu & Ahmad N. Abdalla & Hong Ki An & Sayed M. Eldin & Ahmed Sayed M. Metwally & Patrizia Bocchetta & Muhammad Sufyan Javed, 2022. "Study of an Optimized Micro-Grid’s Operation with Electrical Vehicle-Based Hybridized Sustainable Algorithm," Sustainability, MDPI, vol. 14(23), pages 1-18, December.
    9. Abedini, Mohammad & Abedini, Moein, 2017. "Optimizing energy management and control of distributed generation resources in islanded microgrids," Utilities Policy, Elsevier, vol. 48(C), pages 32-40.
    10. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    11. Prakash, K. & Ali, M. & Hossain, M A & Kumar, Nallapaneni Manoj & Islam, M.R. & Macana, C.A. & Chopra, Shauhrat S. & Pota, H.R., 2022. "Planning battery energy storage system in line with grid support parameters enables circular economy aligned ancillary services in low voltage networks," Renewable Energy, Elsevier, vol. 201(P1), pages 802-820.

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