P2P Electricity Trading Considering User Preferences for Renewable Energy and Demand-Side Shifts

Daishi Sagawa (), Kenji Tanaka, Fumiaki Ishida, Hideya Saito, Naoya Takenaga and Kosuke Saegusa
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Daishi Sagawa: School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Kenji Tanaka: School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Fumiaki Ishida: The Kansai Electric Power Co., Inc., Osaka 530-8270, Japan
Hideya Saito: The Kansai Electric Power Co., Inc., Osaka 530-8270, Japan
Naoya Takenaga: BIPROGY Inc., Tokyo 135-8560, Japan
Kosuke Saegusa: BIPROGY Inc., Tokyo 135-8560, Japan

Energies, 2023, vol. 16, issue 8, 1-25

Abstract: In the global trend towards decarbonization, peer-to-peer (P2P) energy trading is garnering increasing attention. Furthermore, energy management on the demand side plays a crucial role in decarbonization efforts. The authors have previously developed an automated bidding agent that considers user preferences for renewable energy (RE), assuming users own electric vehicles (EVs). In this study, we expand upon this work by considering users who own not only EVs but also heat pump water heaters, and we develop an automated bidding agent that takes into account their preferences for RE. We propose a method to control the start time and presence of daytime operation shifts for heat pump water heaters, leveraging their daytime operation shift function. Demonstration experiments were conducted to effectively control devices such as EVs and heat pumps using the agent. The results of the experiments revealed that by controlling the daytime operation of heat pumps with our method, the RE utilization rate can be improved compared to scenarios without daytime operation shifts. Furthermore, we developed a simulator to verify the outcomes under different scenarios of demand-side resource ownership rates, demonstrating that higher ownership rates of EVs and heat pumps enable more effective utilization of renewable energy, and that this effect is further enhanced through P2P trading. Based on these findings, we recommend promoting the adoption of demand-side resources such as EVs and heat pumps and encouraging P2P energy trading to maximize the utilization of renewable energy in future energy systems.

Keywords: P2P energy trading; electric vehicle; heat pump water heater; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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