Probabilistic Harmonic Power Flow Based on Latin Hypercube Sampling Applied to Different Random Variable for Active Distribution Network

doi:10.11930/j.issn.1004-9649.2017.04.059.07

Abstract

Abstract: With the increase of large amount of distributed generations connecting to power grid, it is inevitable that a lot of harmonic waves would be brought to the active distribution network, and it is of great significance to study characteristic of the harmonic spectrum and its distribution in active distribution network. A probabilistic power flow based on improved Latin hypercube sampling for active distribution network is created. The loop-analysis-based power flow algorithm is introduced for weakly meshed distribution network while a strict method to process PV nodes is also proposed. On that basis, with regard to independent random variables, dependent random variables and discrete data, an improved Latin hypercube sampling is proposed to describe uncertainty of harmonic spectrum. Various numerical test results on a 14-bus distribution network demonstrate validity of the proposed method.

Key words: power grid, active distribution network, distributed generations, Latin hypercube sampling, probabilistic harmonic power flow

CLC Number:

TM715

YANG Wenhai, HUANG Lingyu, CHENG Huaxin, LI Ruihuan, WANG Jingmin. Probabilistic Harmonic Power Flow Based on Latin Hypercube Sampling Applied to Different Random Variable for Active Distribution Network[J]. Electric Power, 2017, 50(4): 59-65.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2017.04.059.07

https://www.electricpower.com.cn/EN/Y2017/V50/I4/59

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