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UBC Theses and Dissertations

EMTP-based load disaggregation at feeder levels Shojae, Shima

Abstract

Power distribution networks play an important role in electricity grid. Distribution system components require becoming smarter and more automated for the sake of improving their reliability and increasing their operational efficiency. Smart meters are one of the powerful devices that achieved this goal. However, their data are of minimal use — grid or load information obtained from smart meters are shallowly analysed. This thesis takes advantage of the shortcoming by accurately calculating the load information using EMTP-based load disaggregation method. The approach is applicable to residential loads at small scale and feeders at large scale. In this thesis we first give our theoretical method for load disaggregation inspired by EMTP computational program. Then with simulation and experimental results, we demonstrate that our work outperforms past solutions by the following advantages: 1. EMTP-based load disaggregation is applicable at every point of interest, i.e., from distribution feeder down to the customer’s entry point. 2. Unlike other methods, our method employs both transient and steady state load properties. 3. Last but not least, our solution is capable of determining load’s electrical parameters. In this thesis we stress on three major eigen-loads: (1) motor, (2) resistive, and (3) purely inductive. Then we report how much of the load is made of each eigen-load. We exampled our method on a number of PSCAD simulation cases and a few real appliance measurements. Our results prove load disaggregation shall assist power system engineers in evaluating the power flow on accurate load observations.

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Attribution-NonCommercial-NoDerivs 2.5 Canada