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An algorithm for power flow analysis in isolated hybrid energy microgrid considering DG droop model and virtual impedance control loop

  • M. Elgamal*
  • , Nikolay Korovkin
  • , A. Abdel Menaem
  • , Akram Elmitwally
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Power flow analysis (PF) is an essential tool for secure and efficient operation in power systems. For isolated microgrid (IMG) with only local distributed generators (DGs), there is no slack bus that enables the microgrid to have a constant frequency. So, the bus admittance matrix (Ybus) is not fixed. Also, IMG usually has droop-controlled DGs (DCDG) whose voltage and power are frequency-dependent. These factors make PF a challenging task for IMG that cannot be accomplished through the classic PF techniques. This paper proposes a substantial modification to the well-established Newton–Raphson PF algorithm, called (ENR), to fit the IMG. A new formulation of the Jacobian matrix is developed to accommodate the different control characteristics of DGs as well as the frequency variation. Droop control, maximum power point tracking, and constant power control are considered as DG control types with complete models. Moreover, the virtual impedance concept and its control loop are integrated into the DCDG control scheme to guarantee the stable operation regardless the microgrid X/R ratio. Further, the ENR convergence speed is improved by introducing acceleration factors for voltage angle, magnitude, and frequency. The optimal acceleration factors are determined using a modified PSO method. The ENR is applied to a 45-bus IMG with 12 renewable and dispatchable DGs based on a modified version of the IEEE 33-bus test system. Results are compared to time-domain simulations and also to recent literature. The accuracy and high speed of the ENR are verified.

Original languageEnglish
Article number100875
JournalSustainable Energy, Grids and Networks
Volume32
DOIs
StatePublished - Dec 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd

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

Keywords

  • Droop control
  • Isolated microgrid
  • Power flow
  • Renewable energy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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