Shanghai Jiaotong Daxue xuebao (Jun 2024)

Cost Modeling and Analysis of Integrated Energy Microgrid Group Participation in Frequency Regulation Auxiliary Service Market Based on CPSS

  • LI Zhenkun, YU Qiuyang, WEI Yanjun, TIAN Shuxin

DOI
https://doi.org/10.16183/j.cnki.jsjtu.2022.460
Journal volume & issue
Vol. 58, no. 6
pp. 893 – 903

Abstract

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With the implementation of the carbon peaking and carbon neutrality strategy, the proportion of new energy in the power system continues to increase, while the frequency regulation ability of the system gradually decreases. To address this problem, this paper studies the participation of distributed integrated energy microgrid group in frequency regulation auxiliary service. First, based on the concept of microgrid individuals participation in frequency regulation market after aggregation, the mode of integrated energy microgrid participating in frequency regulation auxiliary service market is described. Then, a cyber-physical-social system (CPSS) of integrated energy microgrid group is established. Based on this model, the frequency regulation cost of microgrid group is calculated. The cost model considers multiple frequency regulation modes, and classifies the social attributes of microgrid by using the grey weighted clustering method to simulate and analyze the willingness and probability value of microgrid individuals to participate in the frequency regulation market. Afterwards, based on Monte Carlo simulation, the cost calculation method for microgrid aggregators to participate in the frequency regulation auxiliary service is proposed, which provides the basis for aggregators to participate in the frequency regulation market quotation. Finally, an aggregator with five integrated energy microgrids is simulated and analyzed, and the curve of its frequency regulation cost is obtained. The simulation results show that the impact of the social attributes of the individual microgrid on the frequency regulation cost of the aggregator can reach 6.921%, so the uncertainty risk caused by the social attributes of the microgrid should be fully considered in the bidding process.

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