Abstract
This paper presents an extension of a previously reported discrete wavelet transform (DWT) based load modeling methodology which targets at modeling time-series load profiles to enable the more effective and realistic quasi-static time-series simulation of distribution feeders. The time-series load model is composed of two major parts: 1) The low-resolution field-measured load data which usually have a resolution of 30 or 15 min., 2) The high-resolution load variability model data extracted from the established variability database which can have resolution up to 1 sec. A load aggregation methodology is developed to aggregate the load profiles so that load profiles at different transformer ratings can be effectively modeled. Validation, evaluation, and analysis of the developed load modeling approach has been performed on the IEEE-123 feeder and an actual utility feeder from California. The analysis completed on the two feeders have demonstrated the effectiveness and revealed the value of the developed model for distribution feeder quasi-static time-series simulation at high temporal resolution.
Original language | American English |
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Number of pages | 5 |
DOIs | |
State | Published - 21 Dec 2018 |
Event | 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States Duration: 5 Aug 2018 → 10 Aug 2018 |
Conference
Conference | 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 |
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Country/Territory | United States |
City | Portland |
Period | 5/08/18 → 10/08/18 |
Bibliographical note
See NREL/CP-5D00-70975 for preprintNREL Publication Number
- NREL/CP-5D00-73343
Keywords
- Distribution System Simulation
- High-Resolution Load Models
- Load Modeling
- Quasi-Static Time-Series(QSTS)