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Open AccessArticle
Techno-Economic Analysis of Peer-to-Peer Energy Trading Considering Different Distributed Energy Resources Characteristics
by
Morsy Nour
Morsy Nour 1,2,
Mona Zedan
Mona Zedan 3,4,*,
Gaber Shabib
Gaber Shabib 2,
Loai Nasrat
Loai Nasrat 3 and
Al-Attar Ali
Al-Attar Ali 3
1
Institute for Research in Technology (IIT), ICAI School of Engineering, Comillas Pontifical University, 28015 Madrid, Spain
2
Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt
3
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
4
Department of Electronics and Communications Engineering, Higher Institute of Engineering and Technology, Al-Tod, Luxor 85842, Egypt
*
Author to whom correspondence should be addressed.
Electricity 2025, 6(4), 57; https://doi.org/10.3390/electricity6040057 (registering DOI)
Submission received: 11 August 2025
/
Revised: 26 September 2025
/
Accepted: 2 October 2025
/
Published: 4 October 2025
Abstract
Peer-to-peer (P2P) energy trading has emerged as a novel approach to enhancing the coordination and utilization of distributed energy resources (DERs) within modern power distribution networks. This study presents a techno-economic analysis of different DER characteristics, focusing on the integration of photovoltaic (PV) systems and energy storage systems (ESS) within a community-based P2P energy trading framework in Aswan, Egypt, under a time-of-use (ToU) electricity tariff. Eight distinct cases are evaluated to assess the impact of different DER characteristics on P2P energy trading performance and an unbalanced low-voltage (LV) distribution network by varying the PV capacity, ESS capacity, and ESS charging power. To the best of the authors’ knowledge, this is the first study to comprehensively examine the effects of different DER characteristics on P2P energy trading and the associated impacts on an unbalanced distribution network. The findings demonstrate that integrating PV and ESS can substantially reduce operational costs—by 37.19% to 68.22% across the analyzed cases—while enabling more effective energy exchanges among peers and with the distribution system operator (DSO). Moreover, DER integration reduced grid energy imports by 30.09% to 63.21% and improved self-sufficiency, with 30.10% to 63.21% of energy demand covered by community DERs. However, the analysis also reveals that specific DER characteristics—particularly those with low PV capacity (1.5 kWp) and high ESS charging rates (e.g., ESS 13.5 kWh with 2.5 kW inverter)—can significantly increase transformer and line loading, reaching up to 19.90% and 58.91%, respectively, in Case 2. These setups also lead to voltage quality issues, such as increased voltage unbalance factors (VUFs), peaking at 1.261%, and notable phase voltage deviations, with the minimum Vb dropping to 0.972 pu and maximum Vb reaching 1.083 pu. These findings highlight the importance of optimal DER sizing and characteristics to balance economic benefits with technical constraints in P2P energy trading frameworks.
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MDPI and ACS Style
Nour, M.; Zedan, M.; Shabib, G.; Nasrat, L.; Ali, A.-A.
Techno-Economic Analysis of Peer-to-Peer Energy Trading Considering Different Distributed Energy Resources Characteristics. Electricity 2025, 6, 57.
https://doi.org/10.3390/electricity6040057
AMA Style
Nour M, Zedan M, Shabib G, Nasrat L, Ali A-A.
Techno-Economic Analysis of Peer-to-Peer Energy Trading Considering Different Distributed Energy Resources Characteristics. Electricity. 2025; 6(4):57.
https://doi.org/10.3390/electricity6040057
Chicago/Turabian Style
Nour, Morsy, Mona Zedan, Gaber Shabib, Loai Nasrat, and Al-Attar Ali.
2025. "Techno-Economic Analysis of Peer-to-Peer Energy Trading Considering Different Distributed Energy Resources Characteristics" Electricity 6, no. 4: 57.
https://doi.org/10.3390/electricity6040057
APA Style
Nour, M., Zedan, M., Shabib, G., Nasrat, L., & Ali, A.-A.
(2025). Techno-Economic Analysis of Peer-to-Peer Energy Trading Considering Different Distributed Energy Resources Characteristics. Electricity, 6(4), 57.
https://doi.org/10.3390/electricity6040057
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