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Synthetic 33-Bus Microgrid: Dynamic Model and Time-Series Parameters

Tong Han

TL;DR

This work constructs a realistic synthetic 33-bus microgrid by extending the IEEE topology with converter-interfaced renewables and storage, and it provides comprehensive dynamic models and time-series data derived from ARPA-E PERFORM datasets. A hierarchical-control-based dynamic model is developed, including detailed converter, load, and network representations, with a transformation from DAE to ODE forms to enable efficient simulation under renewable uncertainties. The model is supplemented by complete time-invariant and time-varying parameter catalogs, along with year-long and weekly time-series profiles for loads and generation setpoints, forecast errors, and Volt/VAR optimization outputs. The resulting framework supports rigorous analysis, control design, and performance evaluation of microgrid operations under realistic variability and uncertainty conditions.

Abstract

This report provides the detailed description of the synthetic 33-bus microgrid (MG), including its structure, dynamic models, and time-series parameters of loads and generations. The network structure is adapted from the IEEE 33-bus distribution network, with additional converter-interfaced renewable energy resources and energy storage systems. Time-series parameters is generated based on the open-source ARPA-E PERFORM datasets.

Synthetic 33-Bus Microgrid: Dynamic Model and Time-Series Parameters

TL;DR

This work constructs a realistic synthetic 33-bus microgrid by extending the IEEE topology with converter-interfaced renewables and storage, and it provides comprehensive dynamic models and time-series data derived from ARPA-E PERFORM datasets. A hierarchical-control-based dynamic model is developed, including detailed converter, load, and network representations, with a transformation from DAE to ODE forms to enable efficient simulation under renewable uncertainties. The model is supplemented by complete time-invariant and time-varying parameter catalogs, along with year-long and weekly time-series profiles for loads and generation setpoints, forecast errors, and Volt/VAR optimization outputs. The resulting framework supports rigorous analysis, control design, and performance evaluation of microgrid operations under realistic variability and uncertainty conditions.

Abstract

This report provides the detailed description of the synthetic 33-bus microgrid (MG), including its structure, dynamic models, and time-series parameters of loads and generations. The network structure is adapted from the IEEE 33-bus distribution network, with additional converter-interfaced renewable energy resources and energy storage systems. Time-series parameters is generated based on the open-source ARPA-E PERFORM datasets.
Paper Structure (10 sections, 12 equations, 9 figures, 2 tables)

This paper contains 10 sections, 12 equations, 9 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Basic structure
  3. Dynamic Model with hierarchical control and renewable uncertainties
  4. Converter model
  5. Load model
  6. Network model
  7. Full model in ODE form
  8. Parameters of the MG
  9. Time-invariant parameters
  10. Time-varying parameters

Figures (9)

  • Figure 1: Diagram of the synthetic 33-bus microgrid.
  • Figure 2: Profiles of load impedance of one year.
  • Figure 3: Profiles of power setpoints of all converters of one year.
  • Figure 4: Profiles of voltage magnitude setpoints of all converters of one year.
  • Figure 5: Profiles of forecast errors of wind and solar panel generators of one year.
  • ...and 4 more figures