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Comparative Analysis of Power Distribution Systems with Individual Prosumers Owing Photovoltaic Installations and Solar Energy Communities in Terms of Profitability and Hosting Capacity

Author

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  • Illia Diahovchenko

    (Electric Power Engineering Department, Sumy State University Sumy, 40007 Sumy, Ukraine)

  • Lubov Petrichenko

    (Institute of Power Engineering, Faculty of Electrical and Environmental Engineering, Riga Technical University, LV-1048 Riga, Latvia)

Abstract

Future energy markets are foreseen to integrate multiple entities located mainly at the distribution level of the grid so that consumers can participate in energy trading while acting as individual prosumers or by forming energy communities. To ensure the smooth integration of prosumers and satisfy the effective operation of the power distribution systems (PDSs), it is important to fundamentally assess their performance for different grid development scenarios. This paper aims to estimate and compare the hosting capacity (HC) thresholds and profitability for two alternatives: (a) when the PDS experiences rapid growth of scattered individual prosumers with photovoltaic (PV) installations and (b) when prosumers intend to formulate a medium-scale energy community, which is a single source located in one node. Maximization of the profits of decision-makers and maximization of the capacity of the PV generation were set as the two objectives for the optimization tasks. It has been analyzed how the physical topology of the distribution network can be harmonized with the underlying bidirectional power flows for each alternative while satisfying system constraints. A typical distribution test feeder is employed to estimate the energy loss and voltage variations in the PDS, as well as the profitability for energy producers, for various penetration levels of prosumers, in comparison to the base case with no PV generation. The results indicate that improvements in terms of profitability and reduction of energy losses can be achieved in both alternatives, as long as the penetration of PV systems does not reach a certain threshold, which can be chosen by decision-makers and is limited by the HC. Comparing the results of the simulation, EComs demonstrate higher HC vs. individual prosumers, both in terms of technical and economic priorities.

Suggested Citation

  • Illia Diahovchenko & Lubov Petrichenko, 2022. "Comparative Analysis of Power Distribution Systems with Individual Prosumers Owing Photovoltaic Installations and Solar Energy Communities in Terms of Profitability and Hosting Capacity," Energies, MDPI, vol. 15(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8837-:d:981544
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    References listed on IDEAS

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    1. Thuan Thanh Nguyen & Bach Hoang Dinh & Thai Dinh Pham & Thang Trung Nguyen, 2020. "Active Power Loss Reduction for Radial Distribution Systems by Placing Capacitors and PV Systems with Geography Location Constraints," Sustainability, MDPI, vol. 12(18), pages 1-30, September.
    2. Lubov Petrichenko & Antans Sauhats & Illia Diahovchenko & Irina Segeda, 2022. "Economic Viability of Energy Communities versus Distributed Prosumers," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    3. Eva González-Romera & Mercedes Ruiz-Cortés & María-Isabel Milanés-Montero & Fermín Barrero-González & Enrique Romero-Cadaval & Rui Amaral Lopes & João Martins, 2019. "Advantages of Minimizing Energy Exchange Instead of Energy Cost in Prosumer Microgrids," Energies, MDPI, vol. 12(4), pages 1-18, February.
    4. Chen, Liudong & Liu, Nian & Li, Chenchen & Zhang, Silu & Yan, Xiaohe, 2021. "Peer-to-peer energy sharing with dynamic network structures," Applied Energy, Elsevier, vol. 291(C).
    5. Eunice Espe & Vidyasagar Potdar & Elizabeth Chang, 2018. "Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions," Energies, MDPI, vol. 11(10), pages 1-24, September.
    6. Stefano Moroni & Valentina Antoniucci & Adriano Bisello, 2019. "Local Energy Communities and Distributed Generation: Contrasting Perspectives, and Inevitable Policy Trade-Offs, beyond the Apparent Global Consensus," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    7. Ismael, Sherif M. & Abdel Aleem, Shady H.E. & Abdelaziz, Almoataz Y. & Zobaa, Ahmed F., 2019. "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renewable Energy, Elsevier, vol. 130(C), pages 1002-1020.
    8. Mohammad Zain ul Abideen & Omar Ellabban & Luluwah Al-Fagih, 2020. "A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation," Energies, MDPI, vol. 13(11), pages 1-25, June.
    9. Antans Sauhats & Laila Zemite & Lubov Petrichenko & Igor Moshkin & Aivo Jasevics, 2018. "Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices," Energies, MDPI, vol. 11(11), pages 1-19, November.
    10. La Monaca, Sarah & Ryan, Lisa, 2017. "Solar PV where the sun doesn’t shine: Estimating the economic impacts of support schemes for residential PV with detailed net demand profiling," Energy Policy, Elsevier, vol. 108(C), pages 731-741.
    11. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K., 2020. "Investigating the impact of P2P trading on power losses in grid-connected networks with prosumers," Applied Energy, Elsevier, vol. 263(C).
    12. Alturki, Mansoor & Khodaei, Amin & Paaso, Aleksi & Bahramirad, Shay, 2018. "Optimization-based distribution grid hosting capacity calculations," Applied Energy, Elsevier, vol. 219(C), pages 350-360.
    13. Daniel Lugo-Laguna & Angel Arcos-Vargas & Fernando Nuñez-Hernandez, 2021. "A European Assessment of the Solar Energy Cost: Key Factors and Optimal Technology," Sustainability, MDPI, vol. 13(6), pages 1-25, March.
    14. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    15. Rabiee, Abbas & Mohseni-Bonab, Seyed Masoud, 2017. "Maximizing hosting capacity of renewable energy sources in distribution networks: A multi-objective and scenario-based approach," Energy, Elsevier, vol. 120(C), pages 417-430.
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