ORIGINAL RESEARCH
Studying Optimal Strategies of Transmission Congestion Management in the Spot Market
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Guangzhou Power Exchange Center, Guangzhou, China
 
 
Submission date: 2023-08-23
 
 
Final revision date: 2023-09-27
 
 
Acceptance date: 2023-10-10
 
 
Online publication date: 2024-04-25
 
 
Publication date: 2024-05-23
 
 
Corresponding author
Su Yang   

Guangzhou Power Exchange Center, Guangzhou, China
 
 
Pol. J. Environ. Stud. 2024;33(4):4043-4059
 
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ABSTRACT
With the continuous deepening of electricity marketization reform and the large-scale integration of clean energy into the system, the problem of transmission congestion in the power system is frequent, and research on congestion management methods has become a major focus. Therefore, this paper studies the optimization strategy of transmission congestion management in the power spot market. Firstly, the existing congestion management mechanisms were sorted out from two aspects: dynamic management mechanisms, and market steady-state mechanisms. At the same time, the advantages and disadvantages of various mechanisms were summarized. Then, optimization strategies for congestion management were proposed from three aspects: cost optimization, surplus diversion, and risk optimization. Firstly, based on the ATC reduction method and rescheduling method, a congestion cost optimization strategy is proposed. Secondly, a congestion cost pool and multidimensional allocation indicators, are established and a congestion surplus diversion strategy is proposed. Thirdly, a two-level market for transmission rights trading has been constructed to optimize congestion risk. Finally, a case study was conducted in a certain province in eastern and western China, and the results showed that: 1) Considering the rescheduling method and ATC reduction method to optimize congestion costs can reduce congestion costs by 8.22% and 18.83%, compared to only considering the scheduling method and using ATC reduction method. 2) Establishing a congestion cost pool and multi-dimensional allocation indicators to channel congestion surplus can form price guidance signals. 3) Constructing a two-level market for transmission rights trading can increase the efficiency of system operators by 62.75%.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
CITATIONS (1):
1.
Modeling Infrastructure Delays and Congestion for Large-Scale Power Systems
Joan Fuentes, Sebastian Zapata, Enrique Angel, Camila Ochoa, Valentina Betancur
Energies
 
eISSN:2083-5906
ISSN:1230-1485
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