DOAJ Open Access 2019

Discovering communities for microgrids with spatial-temporal net energy

Shangyu Xie Han Wang Shengbin Wang Haibing Lu Yuan Hong +2 lainnya

Abstrak

Smart grid has integrated an increasing number of distributed energy resources to improve the efficiency and flexibility of power generation and consumption as well as the resilience of the power grid. The energy consumers on the power grid, e.g., households, equipped with distributed energy resources can be considered as “microgrids” that both generate and consume electricity. In this paper, we study the energy community discovery problems which identify energy communities for the microgrids to facilitate energy management, e.g., load balancing, energy sharing and trading on the grid. Specifically, we present efficient algorithms to discover such communities of microgrids considering both their geo-locations and net energy (NE) over any period. Finally, we experimentally validate the performance of the algorithms using both synthetic and real datasets.

Topik & Kata Kunci

Production of electric energy or power. Powerplants. Central stations Renewable energy sources

Penulis (7)

Shangyu Xie

Han Wang

Shengbin Wang

Haibing Lu

Yuan Hong

Dong Jin

Qi Liu

Format Sitasi

APA MLA BibTeX

Xie, S., Wang, H., Wang, S., Lu, H., Hong, Y., Jin, D. et al. (2019). Discovering communities for microgrids with spatial-temporal net energy. https://doi.org/10.1007/s40565-019-0543-4

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Informasi Jurnal

Tahun Terbit: 2019
Sumber Database: DOAJ
DOI: 10.1007/s40565-019-0543-4
Akses: Open Access ✓