Social Networking and Consumer Preference Based Power Peak Reduction for Safe Smart Grid

Shen Wang, Peng Zhang, Jun Wu, Yutao Zhang

研究成果

抄録

Efficient power peak reduction is a classic scheduling target to make smart grid more safe. To handle multiple energy consumers, energy management are usually built based on game theory. Despite their effectiveness, they do not consider consumer preferences, which are however important in developing salient scheduling frameworks. This work explores consumer preference based social networking in computing optimized schedules to facilitate the incorporation in energy management. We propose the consumer preference driven intelligent energy management technique for smart cities using game theoretic social tie. In our technique, social communities are constructed based on the preference of electricity usage. Community pricing strategy is adjusted during each time period through leveraging cooperative game theory. The simulation results demonstrate the effectiveness and efficiency of the proposed intelligent energy management technique.

本文言語English
ホスト出版物のタイトル2018 6th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ94-98
ページ数5
ISBN(電子版)9781538664100
DOI
出版ステータスPublished - 2018 10 18
外部発表はい
イベント6th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2018 - Oshawa, Canada
継続期間: 2018 8 122018 8 15

出版物シリーズ

名前2018 6th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2018

Conference

Conference6th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2018
国/地域Canada
CityOshawa
Period18/8/1218/8/15

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • エネルギー工学および電力技術
  • 電子工学および電気工学
  • 制御と最適化

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