Cost-based approach for time of use pricing decision

Yicheng Zhou, Fudong Li, Jinhua She, Chongqing Kang, Yosuke Nakanishi

研究成果: Conference contribution

抄録

Current electricity pricing menu for demand response (DR) which oriented purpose, for example TOU (Time of Use) playing more and more important role in deregulation market, especially after mass introduction of renewable energy and application of demand response mechanism in power market. However, the current studies manly focused on market mechanism and not pay attention sufficiently on the relationship between the electricity price setting menu and the actual power supply cost structure. This paper proposed a cost-based pricing scheme. First, we analyzed the cost structure of variable cost, fixed cost, and reliability loss cost of each power source based on the cost structure of the power supply configuration from long-term economic viewpoint, then conducted a basic study on the setting of electricity charges by time period considering the recovery of these costs. We use a simple example to demonstrate the applicability of this propose and concludes some useful results. The methodology proposed in this paper is one of the cost-based foundational study for actual DR pricing scheme.

本文言語English
ホスト出版物のタイトル2020 IEEE 4th Conference on Energy Internet and Energy System Integration
ホスト出版物のサブタイトルConnecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3535-3539
ページ数5
ISBN(電子版)9781728196060
DOI
出版ステータスPublished - 2020 10 30
イベント4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020 - Wuhan, China
継続期間: 2020 10 302020 11 1

出版物シリーズ

名前2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020

Conference

Conference4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020
国/地域China
CityWuhan
Period20/10/3020/11/1

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 情報システムおよび情報管理
  • エネルギー工学および電力技術
  • 再生可能エネルギー、持続可能性、環境
  • 制御と最適化

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