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Title: Inversion Reduction Method for Real and Complex Distribution Feeder Models

Journal Article · · IEEE Transactions on Power Systems
ORCiD logo [1];  [2];  [3];  [4]
  1. Bankable Energy, San Diego, CA (United States)
  2. University of Tennessee, Chattanooga, TN (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  4. University of California San Diego, La Jolla, CA (United States)
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We report the proliferation of distributed generation on distribution feeders triggers a large number of integration and planning studies. Further, the complexity of distribution feeder models, short simulation time steps, and long simulation horizons rapidly render studies computational burdensome. To mend this issue, we propose a methodology for reducing the number of nodes, loads, generators, line, and transformers of p-phase distribution feeders with unbalanced loads and generation, non-symmetric wire impedance, mutual coupling, shunt capacitance, and changes in voltage and phase. The methodology is derived on a constant power load assumption and employs a Gaussian elimination inversion technique to design the reduced feeder. Compared to previous work by the authors, the inversion reduction takes half the time and voltage errors after reduction are reduced by an order of magnitude. Using a snapshot simulation the reduction is tested on six additional publicly available feeders with a maximum voltage error 0.0075 p.u. regardless of feeder size or complexity, and typical errors on the order of 1 × 10 -4 p.u. Lastly, for a day long quasi-static time series simulation on the UCSD A feeder, errors are shown to increase with changes in loading when a large number of buses removed, but shows less variation for less than 85% of buses removed.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1526221
Report Number(s):
SAND-2019-5853J; 675796
Journal Information:
IEEE Transactions on Power Systems, Vol. 34, Issue 2; ISSN 0885-8950
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 14 works
Citation information provided by
Web of Science

Figures / Tables (12)

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Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
Distribution system
network reduction
mutual impedance
quasi static time-series simulations