English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Inverter-based microgrids are an important technology for sustainableelectrical power systems and typically use droop-controlled grid-forminginverters to interface distributed energy resources to the network and controlthe voltage and frequency. Ensuring stability of such microgrids is a keyissue, which requires the use of appropriate models for analysis and controlsystem design. Full-order detailed models can be more difficult to analyze andincrease computational complexity, hence a number of reduced-order models havebeen proposed in the literature which present various trade-offs betweenaccuracy and complexity. However, these simplifications present the risk offailing to adequately capture important dynamics of the microgrid. Therefore,there is a need for a comprehensive review and assessment of their relativequality, which is something that has not been systematically carried out thusfar in the literature and we aim to address in this paper. In particular, wereview various inverter-based microgrid reduced-order models and investigatethe accuracy of their predictions for stability via a comparison with acorresponding detailed average model. Our study shows that the simplificationsreduced order models rely upon can affect their accuracy in various regimes ofthe line R/X ratios, and that inappropriate model choices can result insubstantially inaccurate stability results. Finally, we present recommendationson the use of reduced order models for the stability analysis of microgrids.

A Review of Reduced-Order Models for Microgrids: Simplifications vs Accuracy