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- W4327772912 abstract "The challenges surrounding energy and the environment are becoming more and more important as social and economic development continues. As many of China's renewable energy sources, such as wind, solar, hydro, and geothermal energy, are concentrated in its western and northern regions, the country's high electricity demand is concentrated in its central, eastern, and southern regions. Therefore, it is crucial to research the mechanism of cross-province and cross-regional clean energy consumption in order to encourage the consumption of clean energy in places rich in clean energy and to relieve environmental pressure in areas with high power demand. As the current consumption of clean energy is not very optimistic, and is itself very volatile, intermittent and random, which is not conducive to grid-connected transmission, to increase the use of new energy and accomplish the goal of minimizing abandoned wind, light and water, this paper proposes an optimisation algorithm model for cross-province and cross-region clean energy cooperation game based on the G-V source-load adaptation, mainly based on this problem. The primary approach is to find the best combination of power generation and consumption with the aim of maximizing the value of the comprehensive fitness gain. This is done by proposing the idea of source-load fitness of the power curve and load curve, combining the cooperative game approach, and taking into account the transmission channel and other constraints. Finally, the cross-provincial problem is solved." @default.
- W4327772912 created "2023-03-19" @default.
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- W4327772912 date "2022-12-28" @default.
- W4327772912 modified "2023-10-18" @default.
- W4327772912 title "Game Optimization of Cross-region Clean Energy Trading Cooperation Based on G- V Source-load Adaptation" @default.
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- W4327772912 doi "https://doi.org/10.1109/ickecs56523.2022.10060719" @default.
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