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Author:

Ren, Yanzhery (Ren, Yanzhery.) | Liu, Shiyu (Liu, Shiyu.) | Bie, Zhaohong (Bie, Zhaohong.)

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Abstract:

As a regional power grid with the highest penetration of renewable energy, the China Northwest Power Grid is now facing with the renewable power curtailment. That is caused by the inefficient energy utilization, interest conflicts with thermal power generators and the immature electricity price mechanism. To address those problems, this paper proposes a regional marginal price (RMP) mechanism in the China Northwest Power Grid. Firstly, the locational marginal price (LMP) in the Northwest China is calculated based on the economic dispatch theory. Secondly, on the premise of considering geographical location and renewable resource distribution, the Northwest China is divided into seven regions based on the clusters of LMP values. Then, the RMPs in two typical days are calculated by PLEXOS, which verifies the effectiveness of RMP mechanism. Finally, the benefit of RMP mechanism in the China Northwest Power Grid is shown by the comparison of three electricity price mechanisms. © 2019 IEEE.

Keyword:

Electric equipment protection Electric load dispatching Electric power system interconnection Electric power system protection Electric power transmission networks Energy utilization Geographical regions Scheduling

Author Community:

  • [ 1 ] [Ren, Yanzhery]Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, Shaanxi Key Laboratory of Smart Grid, Xi'an, China
  • [ 2 ] [Liu, Shiyu]Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, Shaanxi Key Laboratory of Smart Grid, Xi'an, China
  • [ 3 ] [Bie, Zhaohong]Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, Shaanxi Key Laboratory of Smart Grid, Xi'an, China

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Year: 2019

Page: 1115-1119

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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