Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling

This paper proposes a new probabilistic power flow method for the hybrid AC/VSC-MTDC (Voltage Source Control-Multiple Terminal Direct Current) grids, which is based on the combination of ninth-order polynomial normal transformation (NPNT) and inherited Latin hypercube sampling (ILHS) techniques. NPN...

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Main Authors: Sui Peng, Huixiang Chen, Yong Lin, Tong Shu, Xingyu Lin, Junjie Tang, Wenyuan Li, Weijie Wu
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/16/3088
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author Sui Peng
Huixiang Chen
Yong Lin
Tong Shu
Xingyu Lin
Junjie Tang
Wenyuan Li
Weijie Wu
author_facet Sui Peng
Huixiang Chen
Yong Lin
Tong Shu
Xingyu Lin
Junjie Tang
Wenyuan Li
Weijie Wu
author_sort Sui Peng
collection DOAJ
description This paper proposes a new probabilistic power flow method for the hybrid AC/VSC-MTDC (Voltage Source Control-Multiple Terminal Direct Current) grids, which is based on the combination of ninth-order polynomial normal transformation (NPNT) and inherited Latin hypercube sampling (ILHS) techniques. NPNT is utilized to directly handle historical records of uncertain sources to build the accurate probability model of random inputs, and ILHS is adopted to propagate the randomness from inputs to target outputs. Regardless of whether the underlying probability distribution is known or unknown, the proposed method has the ability to adaptively evaluate the sample size according to a specific operational scenario of the power systems, thus achieving a good balance between computational accuracy and speed. Meanwhile, the frequency histograms, probability distributions, and some more statistics of the results can be accurately and efficiently estimated as well. The modified IEEE 118-bus system, together with the realistic data of wind speeds and diverse consumer behaviors following irregular distributions, is used to demonstrate the effectiveness and superiority of the proposed method.
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spelling doaj.art-10c248b907a7440cb94363db47013b0d2022-12-22T04:24:40ZengMDPI AGEnergies1996-10732019-08-011216308810.3390/en12163088en12163088Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube SamplingSui Peng0Huixiang Chen1Yong Lin2Tong Shu3Xingyu Lin4Junjie Tang5Wenyuan Li6Weijie Wu7Grid Planning and Research Center, Guangdong Power Grid Corporation, CSG, Guangzhou 510080, ChinaGrid Planning and Research Center, Guangdong Power Grid Corporation, CSG, Guangzhou 510080, ChinaGrid Planning and Research Center, Guangdong Power Grid Corporation, CSG, Guangzhou 510080, ChinaPower and Energy Reliability Research Center, State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaPower and Energy Reliability Research Center, State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaPower and Energy Reliability Research Center, State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaPower and Energy Reliability Research Center, State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaGrid Planning and Research Center, Guangdong Power Grid Corporation, CSG, Guangzhou 510080, ChinaThis paper proposes a new probabilistic power flow method for the hybrid AC/VSC-MTDC (Voltage Source Control-Multiple Terminal Direct Current) grids, which is based on the combination of ninth-order polynomial normal transformation (NPNT) and inherited Latin hypercube sampling (ILHS) techniques. NPNT is utilized to directly handle historical records of uncertain sources to build the accurate probability model of random inputs, and ILHS is adopted to propagate the randomness from inputs to target outputs. Regardless of whether the underlying probability distribution is known or unknown, the proposed method has the ability to adaptively evaluate the sample size according to a specific operational scenario of the power systems, thus achieving a good balance between computational accuracy and speed. Meanwhile, the frequency histograms, probability distributions, and some more statistics of the results can be accurately and efficiently estimated as well. The modified IEEE 118-bus system, together with the realistic data of wind speeds and diverse consumer behaviors following irregular distributions, is used to demonstrate the effectiveness and superiority of the proposed method.https://www.mdpi.com/1996-1073/12/16/3088probabilistic power flowAC/VSC-MTDC hybrid gridsuncertaintyninth-order polynomial normal transformationinherited Latin hypercube sampling
spellingShingle Sui Peng
Huixiang Chen
Yong Lin
Tong Shu
Xingyu Lin
Junjie Tang
Wenyuan Li
Weijie Wu
Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling
Energies
probabilistic power flow
AC/VSC-MTDC hybrid grids
uncertainty
ninth-order polynomial normal transformation
inherited Latin hypercube sampling
title Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling
title_full Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling
title_fullStr Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling
title_full_unstemmed Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling
title_short Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling
title_sort probabilistic power flow for hybrid ac dc grids with ninth order polynomial normal transformation and inherited latin hypercube sampling
topic probabilistic power flow
AC/VSC-MTDC hybrid grids
uncertainty
ninth-order polynomial normal transformation
inherited Latin hypercube sampling
url https://www.mdpi.com/1996-1073/12/16/3088
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