• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (12): 28-42.doi: 10.12204/j.issn.1000-7229.2023.12.003

• Analysis of the Coupling Mechanism of the Electricity Market and the Carbon Market ?Hosted by Professor ZHAO Junhua and Research Fellow LIANG Gaoqi? • Previous Articles     Next Articles

Two-Stage Low-Carbon Economic Scheduling of Power System Considering Source-Load Carbon Intensity Coupling

ZHANG Hanlin1(), WANG Ruizhe2(), LIU Youbo1(), YUAN Chuan3(), XIANG Yue1(), LIU Junyong1()   

  1. 1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
    2. International Research Center for Advanced Electrical Engineering, Zhejiang University, Haining 314400, Zhejiang Province, China
    3. States Grid Sichuan Electric Power Company, Chengdu 610041, China
  • Received:2023-07-25 Published:2023-12-01 Online:2023-11-29
  • Supported by:
    National Natural Science Foundation of China(U2166211)

Abstract:

Aiming at the current low-carbon scheduling on the load side of a single low-carbon means, and the source and load sides of the carbon reduction method being relatively independent of the lack of linkage, this study establishes a two-layer low-carbon optimization scheduling model of a power system considering the source-load carbon potential coupling in the market a few days ago. The upper model is based on the ladder carbon trading market, calculates the carbon market transaction cost of the source side, and establishes a low-carbon economic dispatch model of the power system considering the source-load carbon potential constraints in accordance with the load classification, and solves the initial scheduling scheme of the units; the lower model adopts the theory of carbon emission flow, and calculates the carbon potential indexes of each node of the load side and the carbon emission responsibility sharing amount, and establishes a two-layer low-carbon optimization dispatch model of the power system considering the source-load carbon potential constraints. The lower model employs the carbon emission flow theory to calculate the carbon potential index of each node on the load side and the carbon emission responsibility sharing amount based on the scheduling scheme of the upper model, establishes a multi-type demand response model on the load side, and utilizes the user-side regulation ability to optimize the load distribution to further realize low-carbon system benefits. Finally, under the premise of wind power uncertainty modeling, an example analysis is conducted based on the improved IEEE 30-node system, and the results indicate that the scheduling method can effectively promote wind power consumption and reduce carbon emissions.

Key words: carbon emission streams, demand response, carbon emission constraints, low-carbon scheduling

CLC Number: