Zeynali, Saeed, Nasiri, Nima, Ravadanegh, Sajad Najafi and Marzband, Mousa (2022) A Three-level Framework for Strategic Participation of Aggregated Electric Vehicle-owning Households in Local Electricity and Thermal Energy Markets. Applied Energy, 324. p. 119749. ISSN 0306-2619
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APEN_D_22_00417_R3_2_.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (10MB) | Preview |
Abstract
The impact of electric vehicles (EV) charging strategy will not be limited to powersystems as integrated electricity, natural gas and thermal energy systems havebecome increasingly interconnected. We introduce a three-level framework for the aggregated electric vehicle-owning households (AEVH) to strategically participate in local electricity and thermal energy markets as a price-maker, while considering the strategic behavior of the integrated energy service provider (IESP) in thw wholesale electricity market (WEM) also as a price-maker. The AEVH operator forms the first level, while IESP and WEM operators are integrated at the second and third levels, respectively. To solve the three-level problem, the second and third levels are modified as a single-level problem through the Karush-Kuhn-Tucker (KKT) conditions, then the equilibrium point of the resulting single-level problem and the first level is achieved through two step iterative method. At the first level, the arrival/departure time and daily travelled miles of EV fleets are modelled via stochastic scenarios, while renewable energy production at the second level is dealt with by information gap decision theory (IGDT). Ultimately, different case studies verify that AEVHs can deploy their thermal flexibility together with the smart charging strategy of the EVs to influence the local electricity, thermal energy and even WEM prices. Using the proposed three-level optimization framework reaches the best point of equilibrium between different market players. The outcomes prove the effectiveness of the proposed model. Based on the results, the AEVH can deploy the proposed model to diminish the WEM price by 2.1, while the local electricity price was dropped by 18.85. Furthermore , the thermal energy price was reduced by 5.82, which illustrates that EVs can influence the thermal energy market through the combined heat and power units.
Item Type: | Article |
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Uncontrolled Keywords: | Electric vehicles, Thermal energy market, Strategic scheduling, Three-level optimization, Wholesale electricity market, Local electricity market |
Subjects: | H800 Chemical, Process and Energy Engineering |
Depositing User: | John Coen |
Date Deposited: | 03 Aug 2022 10:33 |
Last Modified: | 04 Aug 2023 08:00 |
URI: | https://nrl.northumbria.ac.uk/id/eprint/49707 |
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