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Distribution Network Voltage State Assessment with Distributed Generation Based on Improved Probabilistic Power Flow Method
Author(s) -
Zhiwei Liao,
Sisi Chen,
Chuang Lin
Publication year - 2018
Publication title -
destech transactions on environment energy and earth science
Language(s) - English
Resource type - Journals
ISSN - 2475-8833
DOI - 10.12783/dteees/appeec2018/23572
Subject(s) - photovoltaic system , voltage , probabilistic logic , distributed generation , computer science , control theory (sociology) , probability distribution , electronic engineering , mathematics , engineering , electrical engineering , statistics , renewable energy , artificial intelligence , control (management)
In order to overcome the blind zone in the evaluation method of the operation status of the traditional distribution network caused by the high penetration of distributed power, this paper studies the state quantitative evaluation method of distribution network voltage quality which takes the random characteristics of distributed generation into account. In this paper, a method based on the invariant and Gram-Charlier series to calculate the probability power flow is introduced, and the evaluation system including the average over-limit probability of system voltage, the voltage confidence interval of node voltage and the maximum over-limit probability of node voltage are established. Then taking the distributed photovoltaic as the representative, the probabilistic model whose active output follows Beta distribution is proposed and an improved index of photovoltaic permeability that includes the photovoltaic fluctuation characteristics is defined so as to quantitatively and feasibly evaluate the influence of different photovoltaic permeability on the voltage quality of the distribution network to provide guiding reference.

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