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Development of Reduced Feeder and Load Models Using Practical Topological and Loading Data

Sameer Nekkalapu, Sushrut Thakar, Antos Cheeramban Varghese, Vijay Vittal, Bo Gong, Ken Brown

TL;DR

This work addresses the challenge of accurately simulating distribution feeder dynamics with high computational cost by developing a data-driven method to produce a $3$-segment reduced feeder (Feeder M) using practical utility topology and loading data. The approach combines topology visualization, sectional loading, and positive-sequence impedance calculations to assign loads and compute segment impedances, yielding a realistic reduced model that preserves contactor behavior and SPHIMS stalling relevant to FIDVR events. Validation against a traditional literature-based three-segment feeder shows that the topology-informed model captures SPHIMS stalling more faithfully, especially under moderately severe faults, highlighting the need to retrain regression models for topology-specific feeders. The results indicate meaningful differences in load distribution across segments (e.g., Segment 1 ≈ $19 oise$%, Segment 2 ≈ $35 oise$%, Segment 3 ≈ $46 oise$% for Feeder M) and demonstrate the method’s potential as a generic, scalable tool for planning and operational studies with reduced computational burden.

Abstract

Distribution feeder and load model reduction methods are essential for maintaining a good tradeoff between accurate representation of grid behavior and reduced computational complexity in power system studies. An effective algorithm to obtain a reduced order representation of the practical feeders using utility topological and loading data has been presented in this paper. Simulations conducted in this work show that the reduced feeder and load model of a utility feeder, obtained using the proposed method, can accurately capture contactor and motor stalling behaviors for critical events such as fault induced delayed voltage recovery.

Development of Reduced Feeder and Load Models Using Practical Topological and Loading Data

TL;DR

This work addresses the challenge of accurately simulating distribution feeder dynamics with high computational cost by developing a data-driven method to produce a -segment reduced feeder (Feeder M) using practical utility topology and loading data. The approach combines topology visualization, sectional loading, and positive-sequence impedance calculations to assign loads and compute segment impedances, yielding a realistic reduced model that preserves contactor behavior and SPHIMS stalling relevant to FIDVR events. Validation against a traditional literature-based three-segment feeder shows that the topology-informed model captures SPHIMS stalling more faithfully, especially under moderately severe faults, highlighting the need to retrain regression models for topology-specific feeders. The results indicate meaningful differences in load distribution across segments (e.g., Segment 1 ≈ %, Segment 2 ≈ %, Segment 3 ≈ % for Feeder M) and demonstrate the method’s potential as a generic, scalable tool for planning and operational studies with reduced computational burden.

Abstract

Distribution feeder and load model reduction methods are essential for maintaining a good tradeoff between accurate representation of grid behavior and reduced computational complexity in power system studies. An effective algorithm to obtain a reduced order representation of the practical feeders using utility topological and loading data has been presented in this paper. Simulations conducted in this work show that the reduced feeder and load model of a utility feeder, obtained using the proposed method, can accurately capture contactor and motor stalling behaviors for critical events such as fault induced delayed voltage recovery.
Paper Structure (10 sections, 2 equations, 6 figures, 2 tables)

This paper contains 10 sections, 2 equations, 6 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Case Setup: Contactor & SPHIMS Stalling Modeling
  3. Contactor Modeling
  4. SPHIMS Stalling
  5. Procedure for the Proposed Algorithm
  6. Step 1: Nodes & Sectional Data
  7. Step 2: Feeder visualization
  8. Step 3: Voltage Drop Calculations
  9. Simulations, Results & Discussion
  10. Conclusions

Figures (6)

  • Figure 1: Three segment feeder and load model structure considered in this work
  • Figure 2: Demonstration of Contactor Settings to be Estimated as a Function of the Positive Sequence Feeder Head Voltage
  • Figure 3: Distribution feeder visualization
  • Figure 4: Modified three-segment feeder model (feeder M) based on the local utility topological and loading data
  • Figure 5: Comparison of positive sequence feeder voltages at feeder O & feeder M for Scenario 2
  • ...and 1 more figures