Abstract
In this paper, the decentralized economic scheduling problem of multi-micro grid is studied on the basis of considering the uncertainty of wind power and photovoltaic output. Firstly, in order to meet the independent and autonomous requirements of decentralized scheduling, the decoupling method of public connection points, which is more suitable for the multi-micro grid structure, is adopted to partition the multi-micro grid regions. Then, considering the uncertainty of wind-wind output, a decentralized economic dispatching model of multi-micro grid with robust optimization participation is proposed to minimize the economic cost. Finally, the improved Alternating direction method of multipliers is used to solve the decentralized economic scheduling problem of multi-micro grid. The feasibility and superiority of the improved algorithm are verified by simulation test and comparative analysis. The decentralized autonomy of multi-micro grid scheduling can be realized, and the random uncertainty of landscape can be effectively dealt with.
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