An Improved Stochastic Response Surface Method Based Probabilistic Load Flow for Studies on Correlated Wind Speeds in the AC/DC Grid

Ziwei Zhu, Shifan Lu and Sui Peng
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Ziwei Zhu: Information Engineering College, Nanchang University, Nanchang 330031, Jiangxi, China
Shifan Lu: Information Engineering College, Nanchang University, Nanchang 330031, Jiangxi, China
Sui Peng: Grid Planning & Research Center, Guangdong Power Grid Corporation, CSG, Guangzhou 510080, Guangdong, China

Energies, 2018, vol. 11, issue 12, 1-14

Abstract: This paper proposed a probabilistic load flow technique of AC/VSC-MTDC (Alternate Current/Voltage Source Control-Multiple Terminal Direct Current) hybrid grids based on an improved stochastic response surface method. The applied traditional stochastic response surface method is inherent with the capability to tackle correlated normal variables; however, the accuracy is poor in the case of correlated diverse distributions. To address this issue, NATAF transformation was adopted to transform the correlated wind speeds and loads following arbitrary distributions into the variables that are subject to standard normal distributions. The collection points could be selected to establish the polynomial relationship among the independent standard normal variables and the output responses. Then, the probability distributions and statistics of the responses could be accurately and efficiently estimated. The modified IEEE 14-bus system, involving an additional VSC-MTDC system, wind speeds following various distributions, and diverse consumer behaviors, was used to demonstrate the validity and capability of the proposed method.

Keywords: probabilistic load flow; AC/VSC-MTDC hybrid grids; stochastic response surface method; correlation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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