Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market
As the world strives to decarbonize, the effective use of renewable energy has become an important issue, and P2P power trading is expected to unlock the value of renewable energy and encourage its adoption by enabling power trading based on user needs and user assets. In this study, we constructed...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/24/8309 |
| _version_ | 1797505158001721344 |
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| author | Daishi Sagawa Kenji Tanaka Fumiaki Ishida Hideya Saito Naoya Takenaga Seigo Nakamura Nobuaki Aoki Misuzu Nameki Kosuke Saegusa |
| author_facet | Daishi Sagawa Kenji Tanaka Fumiaki Ishida Hideya Saito Naoya Takenaga Seigo Nakamura Nobuaki Aoki Misuzu Nameki Kosuke Saegusa |
| author_sort | Daishi Sagawa |
| collection | DOAJ |
| description | As the world strives to decarbonize, the effective use of renewable energy has become an important issue, and P2P power trading is expected to unlock the value of renewable energy and encourage its adoption by enabling power trading based on user needs and user assets. In this study, we constructed a bidding agent that optimizes bids based on electricity demand and generation forecasts, user preferences for renewable energy (renewable energy-oriented or economically oriented), and owned assets in a P2P electricity trading market, and automatically performs electricity trading. The agent algorithm was used to evaluate the differences in trading content between different asset holdings and preferences by performing power sharing in a real scale environment. The demonstration experiments show that: EV-owning and economy-oriented users can trade more favorably in the market with a lower average execution price than non-EV-owning users; forecasting enables economy-enhancing moves to store nighttime electricity in batteries in advance in anticipation of future power generation and market prices; EV-owning and renewable energy-oriented users can trade more favorably in the market with other users. EV-owning and renewable energy-oriented users can achieve higher RE ratios at a cost of about +1 yen/kWh compared to other users. By actually issuing charging and discharging commands to the EV and controlling the charging and discharging, the agent can control the actual use of electricity according to the user’s preferences. |
| first_indexed | 2024-03-10T04:14:37Z |
| format | Article |
| id | doaj.art-fc49297834154b808d4681e7ddf06803 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:14:37Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-fc49297834154b808d4681e7ddf068032023-11-23T08:05:27ZengMDPI AGEnergies1996-10732021-12-011424830910.3390/en14248309Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading MarketDaishi Sagawa0Kenji Tanaka1Fumiaki Ishida2Hideya Saito3Naoya Takenaga4Seigo Nakamura5Nobuaki Aoki6Misuzu Nameki7Kosuke Saegusa8School of Engineering, The University of Tokyo, Tokyo 113-8656, JapanSchool of Engineering, The University of Tokyo, Tokyo 113-8656, JapanThe Kansai Electric Power Co., Inc., Osaka 530-8270, JapanThe Kansai Electric Power Co., Inc., Osaka 530-8270, JapanNihon Unisys, Ltd., Tokyo 135-8560, JapanNihon Unisys, Ltd., Tokyo 135-8560, JapanNihon Unisys, Ltd., Tokyo 135-8560, JapanNihon Unisys, Ltd., Tokyo 135-8560, JapanNihon Unisys, Ltd., Tokyo 135-8560, JapanAs the world strives to decarbonize, the effective use of renewable energy has become an important issue, and P2P power trading is expected to unlock the value of renewable energy and encourage its adoption by enabling power trading based on user needs and user assets. In this study, we constructed a bidding agent that optimizes bids based on electricity demand and generation forecasts, user preferences for renewable energy (renewable energy-oriented or economically oriented), and owned assets in a P2P electricity trading market, and automatically performs electricity trading. The agent algorithm was used to evaluate the differences in trading content between different asset holdings and preferences by performing power sharing in a real scale environment. The demonstration experiments show that: EV-owning and economy-oriented users can trade more favorably in the market with a lower average execution price than non-EV-owning users; forecasting enables economy-enhancing moves to store nighttime electricity in batteries in advance in anticipation of future power generation and market prices; EV-owning and renewable energy-oriented users can trade more favorably in the market with other users. EV-owning and renewable energy-oriented users can achieve higher RE ratios at a cost of about +1 yen/kWh compared to other users. By actually issuing charging and discharging commands to the EV and controlling the charging and discharging, the agent can control the actual use of electricity according to the user’s preferences.https://www.mdpi.com/1996-1073/14/24/8309P2P energy tradingbidding agentelectric vehicle |
| spellingShingle | Daishi Sagawa Kenji Tanaka Fumiaki Ishida Hideya Saito Naoya Takenaga Seigo Nakamura Nobuaki Aoki Misuzu Nameki Kosuke Saegusa Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market Energies P2P energy trading bidding agent electric vehicle |
| title | Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market |
| title_full | Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market |
| title_fullStr | Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market |
| title_full_unstemmed | Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market |
| title_short | Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market |
| title_sort | bidding agents for pv and electric vehicle owning users in the electricity p2p trading market |
| topic | P2P energy trading bidding agent electric vehicle |
| url | https://www.mdpi.com/1996-1073/14/24/8309 |
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