IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i24p6568-d461359.html
   My bibliography  Save this article

Exploration of DG Placement Strategy of Microgrids via FMFO Algorithm: Considering Increasing Power Demand and Diverse DG Combinations

Author

Listed:
  • Xiancheng Wang

    (Academic Affairs Office, Jiujiang University, Jiujiang 332005, China
    School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea)

  • Thiruvenkadam Srinivasan

    (Department of Electrical and Electronics Engineering, P.A. College of Engineering and Technology, Pollachi 642003, Tamilnadu, India)

  • Hyuntae Kim

    (School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea)

  • In-ho Ra

    (School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea)

Abstract

Distributed energy resource (DER) has been widely deployed, and distributed generation (DG) can complement the distribution system. Favorable DG deployment provides the grid-connected microgrid (MG) with stable voltage and reduces emission and power generation costs. DGs are considered distributed feeders, and MG is required to be operated under the optimal state. Reconfiguration is a practical approach to optimizing resource allocation. The optimal global solution is obtained via optimization algorithms. In this paper, three objectives are defined, namely, minimization of economic cost (ECC), emission cost (EMC), and voltage deviation (VD). Consequently, a fuzzy moth-flame optimization (FMFO) algorithm is proposed to coordinate the interests of multiple objectives. Moreover, the simulation is conducted based on the standard IEEE 33-bus radial distribution system (RDS), under which the impact of deployment of various DG type and quantity on the MG is explored. In particular, diverse DG combinations are tried under the increasing power demand, and a high-stable voltage strategy is proposed to meet the specific demands. The simulation results reveal that: (1) the DG type has a significant impact on ECC and EMC; (2) penetration level of DG shows a positive-like relationship with the MG stability; and (3) the proposed FMFO algorithm exhibits an efficient performance in convergence.

Suggested Citation

  • Xiancheng Wang & Thiruvenkadam Srinivasan & Hyuntae Kim & In-ho Ra, 2020. "Exploration of DG Placement Strategy of Microgrids via FMFO Algorithm: Considering Increasing Power Demand and Diverse DG Combinations," Energies, MDPI, vol. 13(24), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6568-:d:461359
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/24/6568/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/24/6568/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Palizban, Omid & Kauhaniemi, Kimmo & Guerrero, Josep M., 2014. "Microgrids in active network management—Part I: Hierarchical control, energy storage, virtual power plants, and market participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 428-439.
    2. kianmehr, Ehsan & Nikkhah, Saman & Rabiee, Abbas, 2019. "Multi-objective stochastic model for joint optimal allocation of DG units and network reconfiguration from DG owner’s and DisCo’s perspectives," Renewable Energy, Elsevier, vol. 132(C), pages 471-485.
    3. Badran, Ola & Mekhilef, Saad & Mokhlis, Hazlie & Dahalan, Wardiah, 2017. "Optimal reconfiguration of distribution system connected with distributed generations: A review of different methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 854-867.
    4. Meng, Lexuan & Sanseverino, Eleonora Riva & Luna, Adriana & Dragicevic, Tomislav & Vasquez, Juan C. & Guerrero, Josep M., 2016. "Microgrid supervisory controllers and energy management systems: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1263-1273.
    5. Mirna Fouad Abd El-salam & Eman Beshr & Magdy B. Eteiba, 2018. "A New Hybrid Technique for Minimizing Power Losses in a Distribution System by Optimal Sizing and Siting of Distributed Generators with Network Reconfiguration," Energies, MDPI, vol. 11(12), pages 1-26, November.
    6. Withagen, Cees, 1994. "Pollution and exhaustibility of fossil fuels," Resource and Energy Economics, Elsevier, vol. 16(3), pages 235-242, August.
    7. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.
    Full references (including those not matched with items on IDEAS)

    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. Hossein Shayeghi & Elnaz Shahryari & Mohammad Moradzadeh & Pierluigi Siano, 2019. "A Survey on Microgrid Energy Management Considering Flexible Energy Sources," Energies, MDPI, vol. 12(11), pages 1-26, June.
    2. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    3. Miguel Carpintero-Rentería & David Santos-Martín & Josep M. Guerrero, 2019. "Microgrids Literature Review through a Layers Structure," Energies, MDPI, vol. 12(22), pages 1-22, November.
    4. Katja Sirviö & Kimmo Kauhaniemi & Aushiq Ali Memon & Hannu Laaksonen & Lauri Kumpulainen, 2020. "Functional Analysis of the Microgrid Concept Applied to Case Studies of the Sundom Smart Grid," Energies, MDPI, vol. 13(16), pages 1-31, August.
    5. Yapicioglu, Arda & Dincer, Ibrahim, 2019. "A review on clean ammonia as a potential fuel for power generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 96-108.
    6. Phani Raghav, L. & Seshu Kumar, R. & Koteswara Raju, D. & Singh, Arvind R., 2022. "Analytic Hierarchy Process (AHP) – Swarm intelligence based flexible demand response management of grid-connected microgrid," Applied Energy, Elsevier, vol. 306(PB).
    7. Isa, Normazlina Mat & Tan, Chee Wei & Yatim, A.H.M., 2018. "A comprehensive review of cogeneration system in a microgrid: A perspective from architecture and operating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2236-2263.
    8. Yoldaş, Yeliz & Önen, Ahmet & Muyeen, S.M. & Vasilakos, Athanasios V. & Alan, İrfan, 2017. "Enhancing smart grid with microgrids: Challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 205-214.
    9. Mukhopadhyay, Bineeta & Das, Debapriya, 2020. "Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    10. Polimeni, Simone & Moretti, Luca & Martelli, Emanuele & Leva, Sonia & Manzolini, Giampaolo, 2023. "A novel stochastic model for flexible unit commitment of off-grid microgrids," Applied Energy, Elsevier, vol. 331(C).
    11. Burton, N.A. & Padilla, R.V. & Rose, A. & Habibullah, H., 2021. "Increasing the efficiency of hydrogen production from solar powered water electrolysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    12. Ritter, Hendrik & Zimmermann, Karl, 2019. "Cap-and-Trade Policy vs. Carbon Taxation: Of Leakage and Linkage," EconStor Preprints 197796, ZBW - Leibniz Information Centre for Economics.
    13. Restrepo, Mauricio & Cañizares, Claudio A. & Simpson-Porco, John W. & Su, Peter & Taruc, John, 2021. "Optimization- and Rule-based Energy Management Systems at the Canadian Renewable Energy Laboratory microgrid facility," Applied Energy, Elsevier, vol. 290(C).
    14. Brahma, Antara & Saikia, Kangkana & Hiloidhari, Moonmoon & Baruah, D.C., 2016. "GIS based planning of a biomethanation power plant in Assam, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 596-608.
    15. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    16. Razavi, Seyed-Ehsan & Rahimi, Ehsan & Javadi, Mohammad Sadegh & Nezhad, Ali Esmaeel & Lotfi, Mohamed & Shafie-khah, Miadreza & Catalão, João P.S., 2019. "Impact of distributed generation on protection and voltage regulation of distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 157-167.
    17. Ahmed, Saeed & Mahmood, Anzar & Hasan, Ahmad & Sidhu, Guftaar Ahmad Sardar & Butt, Muhammad Fasih Uddin, 2016. "A comparative review of China, India and Pakistan renewable energy sectors and sharing opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 216-225.
    18. Zizzo, G. & Beccali, M. & Bonomolo, M. & Di Pietra, B. & Ippolito, M.G. & La Cascia, D. & Leone, G. & Lo Brano, V. & Monteleone, F., 2017. "A feasibility study of some DSM enabling solutions in small islands: The case of Lampedusa," Energy, Elsevier, vol. 140(P1), pages 1030-1046.
    19. Anna Borawska & Mariusz Borawski & Małgorzata Łatuszyńska, 2022. "Effectiveness of Electricity-Saving Communication Campaigns: Neurophysiological Approach," Energies, MDPI, vol. 15(4), pages 1-19, February.
    20. Jing Han Siow & Muhammad Roil Bilad & Wahyu Caesarendra & Jia Jia Leam & Mohammad Azmi Bustam & Nonni Soraya Sambudi & Yusuf Wibisono & Teuku Meurah Indra Mahlia, 2021. "Progress in Development of Nanostructured Manganese Oxide as Catalyst for Oxygen Reduction and Evolution Reaction," Energies, MDPI, vol. 14(19), pages 1-16, October.

    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:gam:jeners:v:13:y:2020:i:24:p:6568-:d:461359. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.