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- W4214510814 abstract "With the rapid development of carbon trading m arket, carbon price volatility has become one of the factors that cannot be ignored in energy system planning. Based on this, th is paper proposes a park-level integrated energy system expans ion planning method based on dynamic carbon trading model. A combined prediction model based on Fast Integrated Empiri cal Modal Decomposition (FCEEMD), Multi-Objective Gray <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$W$</tex> olf Optimization (MOGWO) and Least Squares Support Vecto r Machine (LSSVR) is used to simulate the future carbon price data, and a calculation model of carbon trading cost is establish ed. Then, set the maximize system net revenue over the extende d planning cycle as the objective, and a park-level integrated en ergy system considering the cost of carbon trading is establishe d. Finally, the accuracy of the prediction model is verified by E uropean carbon trading data, and the performance of the plan ning scheme under different carbon trading models is compare d and analyzed to verify the effectiveness of the proposed method." @default.
- W4214510814 created "2022-03-02" @default.
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- W4214510814 date "2021-10-22" @default.
- W4214510814 modified "2023-09-26" @default.
- W4214510814 title "Expansion Planning of Park-Level Integrated Energy System Based on Dynamic Carbon Trading Model" @default.
- W4214510814 doi "https://doi.org/10.1109/ei252483.2021.9713601" @default.
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