arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2202.09762eess.SYcs.SY
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多微网区域配电系统多目标分布式优化

Multi-objective Distributed Optimization for Zonal Distribution System with Multi-Microgrids

Tao Xu, Lemeng Liang, Zuozheng Liu, Rujing Wang, Lingxu Guo

摘要:

本文通过微电网的分布式管理解决了可再生能源整合引起的电压变化问题。针对配电网以网损和电压质量为优化目标的问题,提出了一种带自适应惩罚调制的交替方向乘子法(ADMM),实现了配电网的分布式优化,提高了算法的收敛性。在满足系统级优化目标的基础上,单个MG管理MG内部的可控资源,以最小化下层的运行成本。在一个改进的IEEE 33节点系统上验证了该方法的可行性和有效性。

英文摘要:

The issue of voltage variations caused by integration of renewables has been addressed in this paper through distributed management of Microgrids (MGs). The distribution network (DN) takes the network losses and voltage quality as objectives, an alternating direction method of multipliers (ADMM) with adaptive penalty modulation has been proposed to realize distributed optimization with improved convergence. On the basis of satisfying the optimization target on the system level, the individual MG manages the controllable resources inside the MG to minimize the operating cost on the lower level. The feasibility and effectiveness of the proposed method has been demonstrated on a modified IEEE 33-bus system.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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