Enhanced long-run incremental cost charging considering the impact of demand response

Wei Zhang, Xiuli Wang, Xiong Wu, Furong Li, Chunlian Cao

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)


The existing transmission charging methods like long-run incremental cost give forward-looking charges which reflect the impact of system congestion on required network investment, but the flexibility of demand is not considered. This study proposes a novel transmission charging method which takes into consideration the demand response (DR). The proposed method could reflect: (1) how DR influences the short-run congestion management cost and long-run investment cost; (2) how DR influences the transmission charges. To promote the effect of DR, an approach is proposed to determine the optimal nodes for the implementation of DR based on the available transfer capability and congestion cost. Through the approach, different plans for the implementation of DR will be produced in different demand levels. The optimal node determination approach not only makes DR more targeted for the system congestion but also improves the effect of the proposed transmission charging method. The proposed method is applied to the IEEE 14-bus system and a practical system in Western China. The results indicate that the proposed charging method can offer consumers with economic incentives to alleviate congestion, especially when the DR implemented on the optimal nodes, and thus delay the network reinforcement investment.

Original languageEnglish
Pages (from-to)6011-6020
Number of pages10
JournalIET Generation, Transmission and Distribution
Issue number22
Early online date20 Nov 2018
Publication statusPublished - 11 Dec 2018

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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