Abstract
Because the current power supply does not take into account the regional climate cold and hot issues, leading to some areas of power energy supply is greater than demand, waste a lot of unnecessary electricity, power utilization rate is low. To solve the above problems, a multi-area integrated energy dispatching method based on large data analysis is proposed. Firstly, the data warehouse method is used to integrate the supply and demand data of multi-region related comprehensive energy sources, then the integrated data is processed, and then the power demand level is divided based on fuzzy clustering. Finally, the multi-region power is reasonably supplied according to the level, and the comprehensive energy dispatch of cooling, heating and power is completed. The experimental results show that the multi region integrated energy scheduling method based on big data analysis can reduce the average power supply power by 353.534 kW, and improve the utilization rate of electric energy.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ji, F., Yang, Sh., Cao, Xd., Yang, Yb. (2021). Simulation of Multi-area Integrated Energy for Cooling, Heating and Power Based on Large Data Analysis. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-030-67871-5_41
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DOI: https://doi.org/10.1007/978-3-030-67871-5_41
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