Priority-driven harmonic power sharing strategy for interlinking converters based on distributed consensus protocol

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
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引用次数: 0

Abstract

This paper investigates the issue of accurate harmonic power sharing in a microgrid clusters connected with interlinking converters. A distributed consensus protocol is developed for controller to adaptively regulate the virtual impedance at harmonic frequencies. Further, a simplified formula of the harmonic apparent power is adopted to reduce the calculation burden. With the proposed methods, harmonic power can be proportionally shared among ILCs and AC sub-grid according to sub-grid priority index,which improves the higher weight sub-grid voltage quality. Thus, the microgrid clusters system flexibility can be enhanced and the knowledge of he line impedance is not required. Finally, the effectiveness of the proposed strategy is verified by hardware-in-the-loop experiments.
基于分布式共识协议的互联变流器优先级驱动谐波功率共享策略
本文研究了与互联变流器相连的微电网集群中的精确谐波功率共享问题。为控制器开发了一种分布式共识协议,用于自适应调节谐波频率下的虚拟阻抗。此外,还采用了简化的谐波视在功率公式,以减轻计算负担。采用所提出的方法,谐波功率可根据子网优先级指数在 ILC 和交流子网之间按比例分摊,从而改善高权重子网的电压质量。因此,可以提高微电网集群系统的灵活性,而且无需了解线路阻抗。最后,通过硬件在环实验验证了所提策略的有效性。
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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