IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v96y2016ipap914-927.html
   My bibliography  Save this article

A novel power flow analysis in an islanded renewable microgrid

Author

Listed:
  • Esmaeli, Abdolreza
  • Abedini, Mohammad
  • Moradi, Mohammad H.

Abstract

In an islanded microgrid mode the use of conventional power flow analysis is not effective as the voltage of slack bus and the frequency of the microgrid are assumed to be constant. Such assumption fails to consider the real characteristics of the island microgrid as all DGs are involved in providing the demand of active and reactive power as well as in maintaining the frequency of the microgrid. In this paper, a novel algorithm, named GPSO-GM (Guaranteed convergence Particle Swarm Optimization with Gaussian Mutation), for the power flow analysis problem in an islanded microgrid is proposed. The problem is modeled without any slack bus by considering steady state frequency as one of the power flow variables. To model different control modes of DGs, such as droop, PV and PQ, in an islanded microgrid, a new formula for power flow equations is developed. PSO is adopted to minimize the mismatch of total active and reactive power. Two operators, mutation and guaranteed convergence, are added to PSO in order to help in finding an optimal solution and to assist in increasing the speed of the proposed algorithm as well as the accuracy of the results. The performance of proposed load flow based on GPSO-GM is compared with the PSO, Newton-trust and time domain methods. The results provide support for the validity of GPSO-GM.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:96:y:2016:i:pa:p:914-927
    DOI: 10.1016/j.renene.2016.04.077
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116303792
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2016.04.077?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maen Z. Kreishan & Ahmed F. Zobaa, 2022. "Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow," Energies, MDPI, vol. 16(1), pages 1-30, December.
    2. Alisson Lima-Silva & Francisco Damasceno Freitas & Luis Filomeno de Jesus Fernandes, 2023. "A Homotopy-Based Approach to Solve the Power Flow Problem in Islanded Microgrid with Droop-Controlled Distributed Generation Units," Energies, MDPI, vol. 16(14), pages 1-19, July.
    3. Hamed Moazami Goodarzi & Mohammad Hosein Kazemi, 2017. "A Novel Optimal Control Method for Islanded Microgrids Based on Droop Control Using the ICA-GA Algorithm," Energies, MDPI, vol. 10(4), pages 1-17, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:96:y:2016:i:pa:p:914-927. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.