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Online prediction of electrical load for distributed management of PEV based on Grey-Markov model

  • Beihang University

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

Abstract

In order to improve the prediction accuracy of distributed management of Plug-in Electric Vehicles (PEV) to the change of the future electrical load, we proposed an improved algorithm which based on Grey-Markov model. This method makes full use of the advantages of grey model and Markov chain model, where, the grey model is used to reveal the total trend and principle of object change while the Markov chain model is used to indicate the objective random fluctuation and then determine the disturbance rule. The prediction model can be established according to the real value which obtained by distributed management system, then comparison of the model predictions with the improved and traditional prediction algorithms. the results show that improved algorithm is better than traditional prediction algorithm.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6911-6916
Number of pages6
ISBN (Electronic)9781509046560
DOIs
StatePublished - 12 Jul 2017
Event29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China
Duration: 28 May 201730 May 2017

Publication series

NameProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference29th Chinese Control and Decision Conference, CCDC 2017
Country/TerritoryChina
CityChongqing
Period28/05/1730/05/17

Keywords

  • Cluster
  • Electrical Load
  • Grey Model
  • Grey-Markov Model
  • Markov Chain Model
  • PEV

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