Optimized Settings of Droop Parameters Using Stochastic Load Modeling for Effective DC Microgrids Operation

Fatih Cingoz, Ali Elrayyah, Yilmaz Sozer

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Droop control is a widely used technique for load sharing in dc microgrids (MGs). However, it has an inherent limitation that leads to voltage deviations at the dc bus. More importantly, its current-sharing performance is degraded due to voltage drops across transmission line impedances. Depending on the amount of these voltage drops over the dc bus, droop control leads to different current-sharing errors and dc bus voltage degradations. Therefore, MG topology and loading conditions (LCs) have a considerable effect on current-sharing accuracy and voltage regulation. In this paper, an optimization procedure accounting all necessary information is introduced to find optimal droop parameters for the droop mechanism. First, a proper optimization problem is defined with required constraints and a cost function formulated as a summation of the current-sharing errors and the voltage degradations occurring at various LCs. Then, an optimization tool named as particle swarm is implemented to converge a satisfactory solution. During the computations, the cost impact of the current-sharing error at each LC is weighted based on the probability of occurrence of that LC, which is obtained from the stochastic load model for the considered MG. The effectiveness of the optimal droop parameters is verified through a simulation performed on MATLAB/Simulink and a dc MG test bench is prototyped for experimental validation.

Original languageEnglish
Article number7762882
Pages (from-to)1358-1371
Number of pages14
JournalIEEE Transactions on Industry Applications
Volume53
Issue number2
DOIs
Publication statusPublished - 1 Mar 2017

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Keywords

  • DC microgrid (MG)
  • droop control
  • droop parameter
  • optimization
  • stochastic model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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