OEDI SI/Scenarios/Newton Raphson based 3-Phase Decoupled DSSE

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Newton Raphson based 3-Phase Decoupled DSSE​ Summary

  • Date Created: 2024/01/09
  • Organization: ORNL
  • Objective: Distribution system state estimation (DSSE) refers to the process of estimating the current conditions of the system’s state, such as voltages and current magnitudes and angles, and power flows, etc. in a distribution system using available field measurements from sensors installed at substations, feeders, and other strategic points in the distribution network. Since the distribution system is inherently unbalanced and three-phase in nature, the traditional state estimation for transmission systems cannot be readily implemented for distribution systems. This DSSE process is essential for monitoring and controlling the unbalanced distribution network. By accurately estimating the system state, operators can detect abnormalities, identify potential issues, and optimize the operation of the distribution grid. Here, the state estimator federate leverages the Newton-Raphson based state estimation method. The Newton-Raphson based state estimation is a computational technique used to estimate the systems’ state variables. The method is widely employed in transmission system, but for the distribution systems, decoupled three-phase process has been adopted. The method iteratively solves a set of nonlinear equations derived from the power flow equations and measurement equations to determine the unknown state variables. The Newton-Raphson state estimation is known for its efficiency and robustness in handling large-scale power systems.
  • Use Case: DER Aggregation Algorithm
  • Methodology
    • Inputs
      • Outputs
        • Configuration
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          http://localhost:8080/edit_scenario?Newton Raphson based 3-Phase Decoupled DSSE
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              References


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                Property "Objective" (as page type) with input value "Distribution system state estimation (DSSE) refers to the process of estimating the current conditions of the system’s state, such as voltages and current magnitudes and angles, and power flows, etc. in a distribution system using available field measurements from sensors installed at substations, feeders, and other strategic points in the distribution network. Since the distribution system is inherently unbalanced and three-phase in nature, the traditional state estimation for transmission systems cannot be readily implemented for distribution systems. This DSSE process is essential for monitoring and controlling the unbalanced distribution network. By accurately estimating the system state, operators can detect abnormalities, identify potential issues, and optimize the operation of the distribution grid.</br></br>Here, the state estimator federate leverages the Newton-Raphson based state estimation method. The Newton-Raphson based state estimation is a computational technique used to estimate the systems’ state variables. The method is widely employed in transmission system, but for the distribution systems, decoupled three-phase process has been adopted. The method iteratively solves a set of nonlinear equations derived from the power flow equations and measurement equations to determine the unknown state variables. The Newton-Raphson state estimation is known for its efficiency and robustness in handling large-scale power systems." contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process.


              1. Formulate the DSSE as a nonlinear weighted least square (WLS) problem and solves it by the Newton Raphson method
              2. State variables are selected as the rectangular coordinates of the three-phase voltage phasor
              3. Three-phase measurement equations and Jacobian matrices are fully modeled
              4. Dimension of the Jacobian matrix (need to calculate its inverse in the Newton Raphson iterations) is around 3 times of the number of the nodes
              5. Node names, nominal node voltages
              6. System Y-bus matrix
              7. Location of source bus
              8. Nominal active and reactive power loads at all nodes (used for pseudo-measurements)
              9. Measurements of voltage magnitudes
              10. Measurements of real and reactive powers
              11. Estimated voltage and angle at all nodes
              12. The user is not required to manipulate the internal contents of this image. To run the image, the user needs to follow the instructions in the readme file.
              13. https://hub.docker.com/r/openenergydatainitiative/ornl-dsse
              14. https://github.com/openEDI/oedisi-ieee123
              15. Node names, nominal node voltages, System Y-bus matrix, Nominal active and reactive power loads at all nodes (used for pseudo-measurements)
              16. Measurements of voltage magnitudes
              17. Measurements of real and reactive powers
              18. Mean Absolute Error of Three-phase Voltage magnitude (a) 3.3×10-7p.u. (b) 4.6×10-8p.u. (c) 1.8×10-7p.u.
              19. A. P. Yadav et al., "Review of Emerging Concepts in Distribution System State Estimation: Opportunities and Challenges," in IEEE Access, vol. 11, pp. 70503-70515, 2023, doi: 10.1109/ACCESS.2023.3292793.
              20. Li, Keqiang, and Xueshan Han. "A distributed Gauss–Newton method for distribution system state estimation." International Journal of Electrical Power & Energy Systems 136 (2022): 107694.
                21. Retrieved from "https://openei.org/w/index.php?title=OEDI_SI/Scenarios/Newton_Raphson_based_3-Phase_Decoupled_DSSE&oldid=1085618"