Simultaneous Robust State Estimation, Topology Error Processing, and Outage Detection for Unbalanced Distribution Systems

Soltani, Zahra; Ma, Shaoping; Khorsand, Mojdeh; Vittal, Vijay

doi:10.48550/arxiv.2105.10111

Cited by 1 publication

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This subsection formulates the optimization-based problem proposed for the distribution system model enhancement method as an ACOPF formulation based on a three-phase IV model for unbalanced distribution networks with mutual impedance, which is more appropriate for distribution networks [17], [25]. The IV formulation solves a linear system of equations without decomposition, unnecessary constraints, or omissions, and it may be computationally easier to solve than the traditional quadratic power flow formulations [24].…”

Section: B Enhancement Algorithm: Acopf Based On IV Formulationmentioning

confidence: 99%

“…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. The proposed method is based on the rectangular current-voltage (IV) power flow formulation and an extension of the ACOPF model presented in [17]. It is important to note that goal of this paper is different from that of [17]; consequently, the proposed models are different.…”

mentioning

confidence: 99%

“…The proposed method is based on the rectangular current-voltage (IV) power flow formulation and an extension of the ACOPF model presented in [17]. It is important to note that goal of this paper is different from that of [17]; consequently, the proposed models are different. The approach presented in this paper models the unbalanced multi-phase distribution system in detail and accurately since it considers the impact of distribution lines' mutual impedance and shunt elements on the voltage profile and power loss.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data

Montano-Martinez

Thakar

et al. 2022

IEEE Open J. Power Energy

View full text Add to dashboard Cite

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

show abstract

Section: B Enhancement Algorithm: Acopf Based On IV Formulationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation