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17 May 2022 An internal and external coordinated transaction model for load aggregator under the multi-market driven by dual carbon goals
Yanling Wang, Siqi Chen, Yajie Li, Runpeng Ma
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Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122593S (2022) https://doi.org/10.1117/12.2640028
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China
Abstract
Driven by the "dual carbon" goal, it is an effective market-oriented way to promote renewable energy consumption and carbon emission reduction that users participate in renewable energy trading and carbon trading. This paper first proposes a coordinated transaction mode for load aggregator (LA) between the internal and external two-level markets, which provides a solution for a single user to efficiently participate in the multi-market, and effectively articulates multiple markets of electricity, excess renewable energy consumption, and carbon quota. Then, based on the diversified demands of users, a bi-level decision-making model for LA participating in multi-market is established. On the one hand, users optimize and adjust their own needs through internally distributed adjustment transactions within LA. On the other hand, LA acts as an agent for users to participate in the external electricity market, excess consumption market and carbon quota market, which makes it minimize transaction costs while meeting the diversified needs of users. Finally, this paper concludes that the establishment of an internal and external collaborative transaction decision-making model in which LA participates in multiple markets can effectively promote renewable energy consumption and carbon emission reduction from the user side.
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Yanling Wang, Siqi Chen, Yajie Li, and Runpeng Ma "An internal and external coordinated transaction model for load aggregator under the multi-market driven by dual carbon goals", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122593S (17 May 2022); https://doi.org/10.1117/12.2640028
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KEYWORDS
Carbon
Renewable energy
Optimization (mathematics)
Analytical research
Electronics engineering
Lithium
Resolution enhancement technologies
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