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Research on cooperative game optimization scheduling of multi-micro-networks considering carbon trading
Developing a clean, low-carbon, secure, and efficient energy system based on dual carbon and transitioning to a new energy-dominated power system is a crucial step for China’s energy evolution and path to carbon neutrality. This study examines multi-microgrid collaboration under carbon trading to en...
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Published in: | Journal of physics. Conference series 2024-09, Vol.2849 (1), p.12101 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Developing a clean, low-carbon, secure, and efficient energy system based on dual carbon and transitioning to a new energy-dominated power system is a crucial step for China’s energy evolution and path to carbon neutrality. This study examines multi-microgrid collaboration under carbon trading to encourage local energy consumption and drive the operation of a low-carbon economy. A cooperative game strategy-based scheduling approach is proposed. Initially, the operational framework for a multi-microgrid system with carbon capture capability is defined, along with a model for low-carbon operation across multiple energy sources. Subsequently, power trading is facilitated within and between sub-microgrids and distribution networks to enhance the economic viability of the multi-microgrid setup. The study outlines the multi-microgrid system, presents typical power supply models, introduces the core concept of cooperative games, and establishes a grid-connected multi-microgrid scheduling cooperative game model. The ADMM algorithm is employed to address cost minimization and benefit maximization challenges within the multi-microgrid alliance. The efficacy of this strategy is evidenced through a numerical illustration. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/2849/1/012101 |