Hierarchical coordination optimization of microgrid group based on the consistency principle and ADMM

Abstract

Abstract: In order to solve the problem of wind and solar power consumption and power imbalance in the microgrid, a method of hierarchical coordination and optimization of the microgrid group combined with ADMM was proposed. In the microgrid, considering the uncertainties of wind and solar power generation and load, Gaussian regression is used to predict wind, solar, and load. The power fluctuation caused by wind and solar power generation and load consumption is accommodated by optimizing the purchase power, diesel engine power generation, and energy storage charge and discharge power of the grid. Among microgrids, the consensus algorithm is employed to exchange expected interconnection power information between neighboring microgrids and compute their average values. According to the global information provided by the consensus algorithm, ADMM optimizes the distributed power of each microgrid to obtain the optimal distribution of the interactive power between the microgrids. Case studies demonstrate that the proposed optimization algorithm has a faster convergence speed than the traditional ADMM. While realizing the lowest cost operation of microgrids, the total operating cost of microgrid clusters is the lowest through the power interaction between microgrids.

Key words: microgrid clusters, alternating direction multiplier method, consensus algorithms, interaction power

CLC Number:

TM73

WANG Xiao-lan, GUAN Ya-hao, GONG Wei-li. Hierarchical coordination optimization of microgrid group based on the consistency principle and ADMM[J]. Journal of Lanzhou University of Technology, 2026, 52(3): 72-80.

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URL: https://journal.lut.edu.cn/EN/

https://journal.lut.edu.cn/EN/Y2026/V52/I3/72

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