Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding Space
Against the backdrop of a “dual-carbon” strategy, the use of photovoltaic storage charging stations (PSCSs), as an effective way to aggregate and manage electric vehicles, new energy sources, and energy storage, will be an important primary component of the electricity market. The operational charac...
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MDPI AG
2025-01-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/1/41 |
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| author | Fulu Yan Lifeng Wei Jun Yang Binbin Shi |
| author_facet | Fulu Yan Lifeng Wei Jun Yang Binbin Shi |
| author_sort | Fulu Yan |
| collection | DOAJ |
| description | Against the backdrop of a “dual-carbon” strategy, the use of photovoltaic storage charging stations (PSCSs), as an effective way to aggregate and manage electric vehicles, new energy sources, and energy storage, will be an important primary component of the electricity market. The operational characteristics of the aggregated resources within a PSCS determine its bidding space, which has an important influence on its bidding strategy. In this paper, a novel bidding space model is constructed for PSCSs, which dynamically integrates electric vehicles, photovoltaic generation, and energy storage. A two-stage bidding strategy for multiple PSCSs is established, with stage I aiming at achieving the lowest cost for the power purchased by a PSCS to optimize the power generation and power plan and stage II aiming at achieving the lowest cost of the grid operator’s power purchase to optimize the system’s power balance. Thirdly, the two-stage model is transformed into a single-layer, mixed-integer linear programming problem using dyadic theory and Karush–Kuhn–Tucker (KKT) conditions, enabling the derivation of the optimal bidding strategy. Finally, the example analysis verifies that the proposed model can achieve a reduction in the PSCS’s day-ahead power purchase cost and flexibly dispatch each resource within the PSCS to maximize revenue, as well as reducing power consumption behavior during peak tariff hours, to enhance the market power of the PSCS in the electricity market. |
| format | Article |
| id | doaj-art-c6a64339ab4446a4b3af039936c13f90 |
| institution | Kabale University |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-c6a64339ab4446a4b3af039936c13f902025-01-24T13:52:52ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-01-011614110.3390/wevj16010041Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding SpaceFulu Yan0Lifeng Wei1Jun Yang2Binbin Shi3Linfen Power Supply Company, State Grid Electric Power Company, Linfen 041000, ChinaLinfen Power Supply Company, State Grid Electric Power Company, Linfen 041000, ChinaLinfen Power Supply Company, State Grid Electric Power Company, Linfen 041000, ChinaLinfen Power Supply Company, State Grid Electric Power Company, Linfen 041000, ChinaAgainst the backdrop of a “dual-carbon” strategy, the use of photovoltaic storage charging stations (PSCSs), as an effective way to aggregate and manage electric vehicles, new energy sources, and energy storage, will be an important primary component of the electricity market. The operational characteristics of the aggregated resources within a PSCS determine its bidding space, which has an important influence on its bidding strategy. In this paper, a novel bidding space model is constructed for PSCSs, which dynamically integrates electric vehicles, photovoltaic generation, and energy storage. A two-stage bidding strategy for multiple PSCSs is established, with stage I aiming at achieving the lowest cost for the power purchased by a PSCS to optimize the power generation and power plan and stage II aiming at achieving the lowest cost of the grid operator’s power purchase to optimize the system’s power balance. Thirdly, the two-stage model is transformed into a single-layer, mixed-integer linear programming problem using dyadic theory and Karush–Kuhn–Tucker (KKT) conditions, enabling the derivation of the optimal bidding strategy. Finally, the example analysis verifies that the proposed model can achieve a reduction in the PSCS’s day-ahead power purchase cost and flexibly dispatch each resource within the PSCS to maximize revenue, as well as reducing power consumption behavior during peak tariff hours, to enhance the market power of the PSCS in the electricity market.https://www.mdpi.com/2032-6653/16/1/41photovoltaic storage charging stationcentralized dispatchbidding spacetwo-layer bidding strategyKKT condition |
| spellingShingle | Fulu Yan Lifeng Wei Jun Yang Binbin Shi Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding Space World Electric Vehicle Journal photovoltaic storage charging station centralized dispatch bidding space two-layer bidding strategy KKT condition |
| title | Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding Space |
| title_full | Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding Space |
| title_fullStr | Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding Space |
| title_full_unstemmed | Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding Space |
| title_short | Day-Ahead Two-Stage Bidding Strategy for Multi-Photovoltaic Storage Charging Stations Based on Bidding Space |
| title_sort | day ahead two stage bidding strategy for multi photovoltaic storage charging stations based on bidding space |
| topic | photovoltaic storage charging station centralized dispatch bidding space two-layer bidding strategy KKT condition |
| url | https://www.mdpi.com/2032-6653/16/1/41 |
| work_keys_str_mv | AT fuluyan dayaheadtwostagebiddingstrategyformultiphotovoltaicstoragechargingstationsbasedonbiddingspace AT lifengwei dayaheadtwostagebiddingstrategyformultiphotovoltaicstoragechargingstationsbasedonbiddingspace AT junyang dayaheadtwostagebiddingstrategyformultiphotovoltaicstoragechargingstationsbasedonbiddingspace AT binbinshi dayaheadtwostagebiddingstrategyformultiphotovoltaicstoragechargingstationsbasedonbiddingspace |