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- W4386883886 abstract "Inadequate information capture and transmission of multi-energy coupled integrated energy systems can lead to low energy utilization and poor economic and social benefits. To address this problem, this paper proposes a real-time optimal scheduling strategy for integrated energy systems in parks based on digital twin. Firstly, an integrated energy system model with multi-energy coupling in the park is constructed based on digital twin technology; secondly, a particle swarm algorithm is used to solve the problem with the objective of minimizing the total operation cost. Finally, a test model of the integrated energy system of the park (PIES) is built based on the CloudPSS platform to verify the effectiveness of the proposed strategy. The calculation results prove that the proposed strategy can improve energy utilization while taking into account the operating cost, which provides theoretical and technical guidance for the rational energy use and operation management of PIES." @default.
- W4386883886 created "2023-09-21" @default.
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- W4386883886 date "2023-06-16" @default.
- W4386883886 modified "2023-09-27" @default.
- W4386883886 title "Digital Twin-Based Real-Time Optimal Scheduling Strategy for Park Integrated Energy System" @default.
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- W4386883886 doi "https://doi.org/10.1109/iccsse59359.2023.10245207" @default.
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