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 through the final model verification automatically.
Highlights
This paper focuses on the accurate modeling of unbalanced multiphase distribution feeder based on the available measurement data, such as advanced metering infrastructure (AMI) voltage and derived active power measurements at the customer level and data acquisition systems (DAS) measurements data
For the distribution system model enhancement method, this paper proposes an approach based on nonlinear AC optimal power flow (ACOPF) for unbalanced multi-phase distribution systems to increase the system observability and estimate the unmetered loads using available field measurements
Using the method proposed in this paper, accurate and detailed primary and secondary distribution system models can be created for distribution feeder analyses using sparse field measurements
Summary
As the DER penetration level continues to increase, these issues would further impact the planning and operation of the power distribution systems, increasing the need to monitor and control these resources [2]. A large share of DERs is located at the distribution system secondary at on-site customer locations, creating the need for a paradigm shift to model distribution systems with more accuracy [5]. Reliable and accurate distribution system modeling, including the secondary network and the various components such as load and DER, is essential for distribution system operational analysis while accommodating a high level of DERs
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.