基于EASI算法的微电网负荷分布估计

Qianqian Wei, Xintao Liang, Changyuan Liu, Duo Shao, Tingzhi Nie
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引用次数: 0

摘要

基于逆变器的微电网控制、基于多智能体的微电网控制以及分布式发电的分散控制等方面的研究越来越受到人们的关注。微网在并网或孤岛模式下,利用负荷知识可以提高微网的运行效率,因此涉及到微网负荷估计领域也很重要。为此,提出了EASI (Equivariant Adaptive Separation via Independence)算法来求解,EASI算法是一种盲源分离方法。对ieee9总线系统的进一步仿真表明,该方法可以在不知道网络参数的情况下很好地完成负荷分布估计任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EASI algorithm based load profile estimation for microgrid
Researches on the control of inverter based microgrid, multi-agent based microgrid, and decentralized control of distributed generation have attracted more and more attention. It is also important to touch the field of load estimation of microgrid because microgrid can operate more efficiently with the knowledge of load under the mode of utility grid connected or islanding mode. Consequently, EASI (Equivariant variant Adaptive Separation via Independence) algorithm has been presented to figure out it, which is one kind of blind source separation methods. Further simulation on IEEE 9 bus system shows that it can accomplish the task of estimating load profile well without the knowledge of network parameters.
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