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Smart city article details
| Title | Intelligent Community Stratification Optimization Scheduling Strategy Based On Demand-Responsive Energy Cells |
|---|---|
| ID_Doc | 32310 |
| Authors | Zhang Z.; Yu J.; Wu J.; Chen R. |
| Year | 2019 |
| Published | 2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019 |
| DOI | http://dx.doi.org/10.1109/EI247390.2019.9061830 |
| Abstract | In the context of the energy Internet, research on regional energy management is of great significance. Focusing on this topic, this paper proposes a model of demand-responsive(DR)energy cells, and establishes a hierarchical optimization scheduling model. The upper layer takes the total cost of the smart community as the objective function, and the lower layer, considering the DR management, takes the lowest comprehensive cost of each energy cells as the objective function. This study is aimed at presenting a two-layer optimization model for the smart community based on the DR energy cell. In this paper, the optimization strategy of maximizing economic benefits is obtained through the iteration of the upper and lower models. The model can improve the economics of the smart community. © 2019 IEEE. |
| Author Keywords | energy cells; hierarchical optimization scheduling; smart community |
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