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Nataf Transformation based Probabilistic Energy Flow Calculation

  • Cheng Fang
  • , Zhizhen Ma
  • , Kai Wang
  • , Boyu Qin
  • Xi'an Jiaotong University
  • Beijing Electric Power
  • Shaanxi Electric Power Research Institute

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Since there exist various uncertainties in integrated energy systems, it is necessary to study the probabilistic energy flow of the integrated energy system. However, the existing probabilistic energy flow calculation methods have the problem of low computational efficiency and are difficult to add correlation between variables. This paper presents a calculation method to solve these probabilistic energy flow problems. First, this paper models the integrated energy system which is interconnected with natural gas and electricity system, and takes the uncertainty of wind farms and photovoltaic power plants in power system into account by carrying out Monte Carlo simulation. Second, this paper adds correlation between wind farm and photovoltaic power plants samples by Nataf transformation. Finally, time-domain simulations are performed, and the results show the accuracy of the proposed method.

Original languageEnglish
Title of host publicationAPAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages491-494
Number of pages4
ISBN (Electronic)9781728117225
DOIs
StatePublished - Oct 2019
Event8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019 - Xi'an, China
Duration: 21 Oct 201924 Oct 2019

Publication series

NameAPAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection

Conference

Conference8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019
Country/TerritoryChina
CityXi'an
Period21/10/1924/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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