Research Article
Simulation of Multi-area Integrated Energy for Cooling, Heating and Power Based on Large Data Analysis
@INPROCEEDINGS{10.1007/978-3-030-67871-5_41, author={Feng Ji and Shi-hai Yang and Xiao-dong Cao and Yong-biao Yang}, title={Simulation of Multi-area Integrated Energy for Cooling, Heating and Power Based on Large Data Analysis}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I}, proceedings_a={ADHIP}, year={2021}, month={2}, keywords={Largedata analysis Integrated energy of cooling Heating and power Integrated energy dispatch Simulation}, doi={10.1007/978-3-030-67871-5_41} }- Feng Ji
Shi-hai Yang
Xiao-dong Cao
Yong-biao Yang
Year: 2021
Simulation of Multi-area Integrated Energy for Cooling, Heating and Power Based on Large Data Analysis
ADHIP
Springer
DOI: 10.1007/978-3-030-67871-5_41
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.
