Historical-based bidding strategy in transactive energy market for household: Data driven analysis
The energy market design is changing to enable distribution-level transactions in smart cities, encouraging end-users to participate efficiently in the market. The Transactive Energy (TE) concept opens the floor for a new market settlement philosophy that can benefit the end-user and Distributed Gen...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447923001326 |
| _version_ | 1797385214295539712 |
|---|---|
| author | Mohamed R. Hamouda Fatima Amara Juan C. Oviedo Luis Rueda David Toquica |
| author_facet | Mohamed R. Hamouda Fatima Amara Juan C. Oviedo Luis Rueda David Toquica |
| author_sort | Mohamed R. Hamouda |
| collection | DOAJ |
| description | The energy market design is changing to enable distribution-level transactions in smart cities, encouraging end-users to participate efficiently in the market. The Transactive Energy (TE) concept opens the floor for a new market settlement philosophy that can benefit the end-user and Distributed Generators (DGs). The bidding of the customers in the distribution level market raises many concerns in the latest reports due to many factors (e.g., lack of information about the participant’s flexibility). This paper proposes a non-intrusive bidding strategy to enhance the accuracy of the household’s participation in the transactive electricity market. The proposed model utilizes the historical household user energy consumption to build the thermal model and develop the bidding strategy. The proposed approach examines the bidding in the context of user preferences of the total consumption, time at bidding, day of bidding, and ambient temperature. The results prove that the proposed strategy can significantly improve the flexibility’s recognition of the customers’ participation in the transactive market. Finally, the efficacy of the bidding method is examined via numerical analysis of actual data. |
| first_indexed | 2024-03-08T21:50:56Z |
| format | Article |
| id | doaj.art-6288dc350e5d407ba6bc9d64bc02bd40 |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-03-08T21:50:56Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-6288dc350e5d407ba6bc9d64bc02bd402023-12-20T07:34:10ZengElsevierAin Shams Engineering Journal2090-44792023-12-011412102243Historical-based bidding strategy in transactive energy market for household: Data driven analysisMohamed R. Hamouda0Fatima Amara1Juan C. Oviedo2Luis Rueda3David Toquica4Conventry University Branch in Egypt, New Administrative Capital, Cairo, Egypt; HydroQuebec, Montreal, Canada; Corresponding author at: Conventry University Branch in Egypt, New Administrative Capital, Cairo, Egypt.HydroQuebec, Montreal, CanadaHydroQuebec, Montreal, CanadaHydroQuebec, Montreal, CanadaUniversity of Quebec at Trois-Rivières, Quebec City, CanadaThe energy market design is changing to enable distribution-level transactions in smart cities, encouraging end-users to participate efficiently in the market. The Transactive Energy (TE) concept opens the floor for a new market settlement philosophy that can benefit the end-user and Distributed Generators (DGs). The bidding of the customers in the distribution level market raises many concerns in the latest reports due to many factors (e.g., lack of information about the participant’s flexibility). This paper proposes a non-intrusive bidding strategy to enhance the accuracy of the household’s participation in the transactive electricity market. The proposed model utilizes the historical household user energy consumption to build the thermal model and develop the bidding strategy. The proposed approach examines the bidding in the context of user preferences of the total consumption, time at bidding, day of bidding, and ambient temperature. The results prove that the proposed strategy can significantly improve the flexibility’s recognition of the customers’ participation in the transactive market. Finally, the efficacy of the bidding method is examined via numerical analysis of actual data.http://www.sciencedirect.com/science/article/pii/S2090447923001326Retail marketBiddingTransactive energyEconomicMarket participant |
| spellingShingle | Mohamed R. Hamouda Fatima Amara Juan C. Oviedo Luis Rueda David Toquica Historical-based bidding strategy in transactive energy market for household: Data driven analysis Ain Shams Engineering Journal Retail market Bidding Transactive energy Economic Market participant |
| title | Historical-based bidding strategy in transactive energy market for household: Data driven analysis |
| title_full | Historical-based bidding strategy in transactive energy market for household: Data driven analysis |
| title_fullStr | Historical-based bidding strategy in transactive energy market for household: Data driven analysis |
| title_full_unstemmed | Historical-based bidding strategy in transactive energy market for household: Data driven analysis |
| title_short | Historical-based bidding strategy in transactive energy market for household: Data driven analysis |
| title_sort | historical based bidding strategy in transactive energy market for household data driven analysis |
| topic | Retail market Bidding Transactive energy Economic Market participant |
| url | http://www.sciencedirect.com/science/article/pii/S2090447923001326 |
| work_keys_str_mv | AT mohamedrhamouda historicalbasedbiddingstrategyintransactiveenergymarketforhouseholddatadrivenanalysis AT fatimaamara historicalbasedbiddingstrategyintransactiveenergymarketforhouseholddatadrivenanalysis AT juancoviedo historicalbasedbiddingstrategyintransactiveenergymarketforhouseholddatadrivenanalysis AT luisrueda historicalbasedbiddingstrategyintransactiveenergymarketforhouseholddatadrivenanalysis AT davidtoquica historicalbasedbiddingstrategyintransactiveenergymarketforhouseholddatadrivenanalysis |