IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i22p7682-d1284117.html
   My bibliography  Save this article

Analysis of the Implementation of Virtual Power Plants and Their Impacts on Electrical Systems

Author

Listed:
  • Matheus Sabino Viana

    (Department of Electrical Energy and Automation Engineering, Polytechnic School, Universidade de São Paulo, Avenida Professor Luciano Gualberto, Travessa 3, No. 158, São Paulo 05508-010, SP, Brazil)

  • Dorel Soares Ramos

    (Department of Electrical Energy and Automation Engineering, Polytechnic School, Universidade de São Paulo, Avenida Professor Luciano Gualberto, Travessa 3, No. 158, São Paulo 05508-010, SP, Brazil)

  • Giovanni Manassero Junior

    (Department of Electrical Energy and Automation Engineering, Polytechnic School, Universidade de São Paulo, Avenida Professor Luciano Gualberto, Travessa 3, No. 158, São Paulo 05508-010, SP, Brazil)

  • Miguel Edgar Morales Udaeta

    (Department of Electrical Energy and Automation Engineering, Polytechnic School, Universidade de São Paulo, Avenida Professor Luciano Gualberto, Travessa 3, No. 158, São Paulo 05508-010, SP, Brazil)

Abstract

The increasing penetration of Distributed Energy Resources (DERs) in Distribution Systems (DSs) has motivated studies on Virtual Power Plants (VPPs). However, few studies have jointly assessed the sizing and economic attractiveness of VPPs from the entrepreneur’s perspective and the potential benefits and impacts on power systems while maintaining the scope to DSs. This study proposes a methodology for sizing VPPs and simulating their economic optimal dispatch and economic attractiveness with a focus on the entrepreneur’s viewpoint. In addition, it also evaluates VPPs’ potential benefits and impacts on a DS or Transmission System (TS) while considering the interface between the Distribution System Operator (DSO) and the Transmission System Operator (TSO). The methodology employs optimization to minimize the Net Present Cost (NPC) of the project, in relation to sizing the DERs, and to obtain the economic optimal dispatch of the BESSs that comprise the VPP. Moreover, a power flow analysis and probabilistic reliability assessment are used to evaluate the benefits and impacts on the power system. The methodology was applied to a case study involving Photovoltaic (PV) systems and Battery Energy Storage Systems (BESSs) used by aggregated medium voltage consumers, which configure Technical Virtual Power Plants (TVPPs) participating in Demand Response (DR) via incentives, with a network model of the Brazilian National Interconnected System (SIN) adapted from the 2030 Ten-Year Energy Expansion Plan (PDE) of the Energy Research Office (EPE), along with data from the Geographic Database of the Distribution Utility (BDGD). The results indicate the economic attractiveness of DERs according to the premises adopted and indicate improvements in TS reliability indexes with the possibility of TVPPs’ dispatch after transmission contingencies.

Suggested Citation

  • Matheus Sabino Viana & Dorel Soares Ramos & Giovanni Manassero Junior & Miguel Edgar Morales Udaeta, 2023. "Analysis of the Implementation of Virtual Power Plants and Their Impacts on Electrical Systems," Energies, MDPI, vol. 16(22), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:22:p:7682-:d:1284117
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/22/7682/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/22/7682/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viana, Matheus Sabino & Manassero, Giovanni & Udaeta, Miguel E.M., 2018. "Analysis of demand response and photovoltaic distributed generation as resources for power utility planning," Applied Energy, Elsevier, vol. 217(C), pages 456-466.
    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. Wang, Qin & Yao, Wei & Fang, Jiakun & Ai, Xiaomeng & Wen, Jinyu & Yang, Xiaobo & Xie, Hailian & Huang, Xing, 2020. "Dynamic modeling and small signal stability analysis of distributed photovoltaic grid-connected system with large scale of panel level DC optimizers," Applied Energy, Elsevier, vol. 259(C).
    2. Kocaman, Ayse Selin & Ozyoruk, Emin & Taneja, Shantanu & Modi, Vijay, 2020. "A stochastic framework to evaluate the impact of agricultural load flexibility on the sizing of renewable energy systems," Renewable Energy, Elsevier, vol. 152(C), pages 1067-1078.
    3. Ana García-Garre & Antonio Gabaldón & Carlos Álvarez-Bel & María Del Carmen Ruiz-Abellón & Antonio Guillamón, 2018. "Integration of Demand Response and Photovoltaic Resources in Residential Segments," Sustainability, MDPI, vol. 10(9), pages 1-31, August.
    4. Hualiang Fang & Lei Shang & Xuzhu Dong & Ye Tian, 2023. "High Proportion of Distributed PV Reliability Planning Method Based on Big Data," Energies, MDPI, vol. 16(23), pages 1-17, November.
    5. Lu, Jun & Liu, Tianqi & He, Chuan & Nan, Lu & Hu, Xiaotong, 2021. "Robust day-ahead coordinated scheduling of multi-energy systems with integrated heat-electricity demand response and high penetration of renewable energy," Renewable Energy, Elsevier, vol. 178(C), pages 466-482.
    6. Qiu, Yueming (Lucy) & Wang, Yi David & Xing, Bo, 2021. "Grid impact of non-residential distributed solar energy and reduced air emissions: Empirical evidence from individual-consumer-level smart meter data," Applied Energy, Elsevier, vol. 290(C).
    7. Anatolyy Dzyuba & Irina Solovyeva & Aleksandr Semikolenov, 2023. "Raising the Resilience of Industrial Manufacturers through Implementing Natural Gas-Fired Distributed Energy Resource Systems with Demand Response," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    8. Foday Conteh & Hiroshi Takahashi & Ashraf Mohamed Hemeida & Narayanan Krishnan & Alexey Mikhaylov & Tomonobu Senjyu, 2021. "Analysis of Hybrid Grid-Connected Renewable Power Generation for Sustainable Electricity Supply in Sierra Leone," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
    9. Xin-gang, Zhao & Yi-min, Xie, 2019. "The economic performance of industrial and commercial rooftop photovoltaic in China," Energy, Elsevier, vol. 187(C).
    10. Wang, Yongli & Qi, Chengyuan & Dong, Huanran & Wang, Shuo & Wang, Xiaohai & Zeng, Ming & Zhu, Jinrong, 2020. "Optimal design of integrated energy system considering different battery operation strategy," Energy, Elsevier, vol. 212(C).
    11. Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Towards a smart grid power system in Brazil: Challenges and opportunities," Energy Policy, Elsevier, vol. 136(C).
    12. Anatoly P. Dzyuba & Irina A. Solovyeva & Aleksandr V. Semikolenov, 2022. "Prospects of introducing microgrids in Russian industry," Journal of New Economy, Ural State University of Economics, vol. 23(2), pages 80-101, July.
    13. Diego Francisco Larios & Enrique Personal & Antonio Parejo & Sebastián García & Antonio García & Carlos Leon, 2020. "Operational Simulation Environment for SCADA Integration of Renewable Resources," Energies, MDPI, vol. 13(6), pages 1-37, March.
    14. Garlet, Taís Bisognin & Ribeiro, José Luis Duarte & de Souza Savian, Fernando & Mairesse Siluk, Julio Cezar, 2019. "Paths and barriers to the diffusion of distributed generation of photovoltaic energy in southern Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 157-169.

    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:16:y:2023:i:22:p:7682-:d:1284117. 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.