Stochastic dynamic simulation method of active distribution networks based on SUNDIALS

Jinli Zhao, Zhenning Fan, Peng Li*, Kai Yuan, Chengshan Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

With the increasing penetration of distributed generators (DGs) and demand for electricity, the security and stability of distribution networks is facing new challenges due to the randomness of DGs and loads. A dynamic simulation method taking the stochastic disturbance influence into account is proposed for active distribution networks (ADNs). Firstly, stochastic models of the irradiance, wind speed and load fluctuations are developed to simulate the stochastic characteristics of DGs and loads. Then, a stochastic dynamic simulation method based on SUNDIALS is proposed. Finally, case studies based on a medium and low voltage ADN are performed to verify the proposed method. Compared with the deterministic simulation methods, the proposed method based on SUNDIALS and the parallel algorithm is better able to reflect the stochastic characteristics of ADNs while meeting the requirements of high simulation accuracy.

Original languageEnglish
Pages (from-to)51-58 and 91
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Volume41
Issue number6
DOIs
Publication statusPublished - 25 Mar 2017
Externally publishedYes

Keywords

  • Active distribution network (ADN)
  • Parallel algorithm
  • Stochastic differential equation (SDE)
  • Stochastic dynamic simulation
  • SUNDIALS

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