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A dynamic pricing method for power trading of new energy power grid considering carbon emission reduction
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Yan Guan1, Xiying Gao1, Xinyi Lu1, Yinong Cai1, Xintan Han1, Xuanyu Song1, Yun Teng2
Renewable Energy Resources | 2024, 42(1) : 112 - 118
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Renewable Energy Resources | 2024, 42(1): 112-118
A dynamic pricing method for power trading of new energy power grid considering carbon emission reduction
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Yan Guan1, Xiying Gao1, Xinyi Lu1, Yinong Cai1, Xintan Han1, Xuanyu Song1, Yun Teng2
Affiliations
  • 1 Marketing Service Center State Grid Liaoning Electric Power Supply Co., Ltd. Shenyang 110170 China
  • 2 Shenyang University of Technology Shenyang 110870 China
Published: 2024-01-20
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With the construction and promotion of greener grid, the old electricity marketing process is facing new challenges. Therefore, in order to suit the new requirements of electricity marketing, this paper proposes an electricity pricing method based on the careful consideration of regional carbon emissions. Firstly, consider the economic compensation of carbon emission reduction incentive and controllable load participating in peak regulation response, a load mobilization cost model considering carbon emission and peak regulation cost is established. Then, based on the idea of game theory, the demandside controllable load and energy storage device are used as schedulable resources to construct a 1K Stackelberg masterslave game decision model. Finally, the inverse induction method is attached to solve the model. We can see from the results that the proposed electricity pricing method of new energy power grid considering regional carbon emissions can promote the optimal operation of power system and realize the double improvement of efficiency and benefit of new distribution network.

electricity pricing method  /  carbon-oriented demand response  /  master-slave game decision-making model  /  comprehensive energy service providers
Yan Guan, Xiying Gao, Xinyi Lu, Yinong Cai, Xintan Han, Xuanyu Song, Yun Teng. A dynamic pricing method for power trading of new energy power grid considering carbon emission reduction[J]. Renewable Energy Resources, 2024 , 42 (1) : 112 -118 .
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Article Info
  • Receive Date：2023-09-08
  • Online Date：2025-07-22
  • Published：2024-01-20
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  • Received：2023-09-08
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Affiliations
    1 Marketing Service Center State Grid Liaoning Electric Power Supply Co., Ltd. Shenyang 110170 China
    2 Shenyang University of Technology Shenyang 110870 China
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