Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data

Abstract

Reliable and accurate distribution system modeling, including the secondary network, is essential in examining distribution system performance with high penetration of distributed energy resources (DERs). This paper presents a highly automated, novel method to enhance the accuracy of utility distribution feeder models to capture their performance by matching simulation results with corresponding field measurements. The method is demonstrated using an actual feeder from an electrical utility with high penetration of DERs. The method proposed uses advanced metering infrastructure (AMI) voltage and derived active power measurements at the customer level, and data acquisition systems (DAS) measurements at the feeder-head, in conjunction with an AC optimal power flow (ACOPF) to estimate customer active and reactive power consumption over a time horizon, while accounting for unmetered loads. The ACOPF uses the measured voltage magnitudes, derived active power measurements, and the feeder head measurements to obtain a complete active power and reactive power capture of the feeder loads. Additionally, the method proposed estimates both voltage magnitude and angle for each phase at the unbalanced distribution substation. The accuracy of the method developed is verified in two stages: by comparing the time-series power flow results obtained from the enhancement algorithm with OpenDSS results and with the field measurements available. The proposed approach seamlessly manages the data available from the optimization procedure

Challenges and Solutions for Real-Time Phasor Modeling of Large-scale Distribution Network with High PV Penetration

“…A. Distribution Network The proposed volt-PF control method was evaluated through simulations on a feeder model based on an actual highpenetration distribution feeder [29] in Arizona. Detailed information was extracted from a CYME network model obtained from the utility, and an accurate OpenDSS model was developed to analyze the feeder's behavior under various inverter operating conditions.…”

The Impact of Detailed Distribution System Representation in Dynamic Sub-Transmission-Distribution Co-Simulation

“…The initial feeder models are created by converting the feeder models obtained in CYME format from the utility to OpenDSS circuit models using a tool developed for this purpose [29]. The Feeder 1 model is further tuned by combining other data from various sources such as the geographic information system (GIS) data and advanced metering infrastructure (AMI) meters -the procedure followed for creating the feeder models is described in previous publications [30], [31]. The sub-transmission model contains two voltage sources -the active power and voltage references are created based on the sub-transmission active power and voltage magnitude measurements and feeder-head measurements of active and reactive powers from the feeders.…”