EVALUATING THE IMPACT OF DISTRIBUTED GENERATION ON POWER LOSSES IN RADIAL DISTRIBUTION GRIDS USING TWO APPROXIMATION MODELS: A COMPARISON | Duy | TNU Journal of Science and Technology

EVALUATING THE IMPACT OF DISTRIBUTED GENERATION ON POWER LOSSES IN RADIAL DISTRIBUTION GRIDS USING TWO APPROXIMATION MODELS: A COMPARISON

About this article

Received: 24/09/21                Revised: 05/11/21                Published: 08/11/21

Authors

1. Do Quang Duy, Hanoi University of Science and Technology
2. Pham Nang Van Email to author, Hanoi University of Science and Technology

Abstract


This paper presents linear approximation and quadratic approximation models to calculate the power loss in radial distribution grids due to the influence of Distributed Generation. Power loss is expressed as a first-degree function of Distributed Generation output using the power loss sensitivity factors in the linear approximation model. For the quadratic approximation model, power loss is given as a quadratic function of Distributed Generation output. Coefficients of quadratic and linear approximation approaches are both determined from an initial power flow. A six-bus distribution system is employed to evaluate the impact of Distributed Generation on power loss using the above two models. At the same time, the calculated results from these two models are also compared with those of the precise non-linear power flow method. The comparison reveals that the quadratic approximation model is more accurate than the linear approximation model. The quadratic approximation model, therefore, can be exploited to compute power loss of distribution power grids swiftly.

Keywords


Distributed Generation (DG); Radial Distribution Grids; Power Loss Sensitivity Factors; Linear Approximation Model; Quadratic Approximation Model

References


[1] P. N. Van and D. Q. Duy, “Different Linear Power Flow Models For Radial Power Distribution Grids: A Comparison,” TNU J. Sci. Technol., vol. 226, no. 15, pp. 12-19, Aug. 2021, doi: 10.34238/tnu-jst.4665.

[2] A. Garces, “A Linear Three-Phase Load Flow for Power Distribution Systems,” IEEE Trans. Power Syst., vol. 31, no. 1, pp. 827-828, Jan. 2016, doi: 10.1109/TPWRS.2015.2394296.

[3] F. Tamp and P. Ciufo, “A Sensitivity Analysis Toolkit for the Simplification of MV Distribution Network Voltage Management,” IEEE Trans. Smart Grid, vol. 5, no. 2, pp. 559-568, Mar. 2014, doi: 10.1109/TSG.2014.2300146.

[4] J. Zhu, D. Hwang, and A. Sadjadpour, “Real-time loss sensitivity calculation in power systems operation,” Electr. Power Syst. Res., vol. 73, no. 1, pp. 53-60, Jan. 2005, doi: 10.1016/j.epsr.2004.05.004.

[5] Z. Tian, W. Wu, and B. Zhang, “A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network,” IEEE Trans. Power Syst., vol. 31, no. 1, pp. 823-824, Jan. 2016, doi: 10.1109/TPWRS.2015.2394454.

[6] S. Wang, Q. Liu, and X. Ji, “A Fast Sensitivity Method for Determining Line Loss and Node Voltages in Active Distribution Network,” IEEE Trans. Power Syst., vol. 33, no. 1, pp. 1148-1150, Jan. 2018, doi: 10.1109/TPWRS.2017.2735898.

[7] G. Raju and P. R. Bijwe, “An Efficient Algorithm for Minimum Loss Reconfiguration of Distribution System Based on Sensitivity and Heuristics,” IEEE Trans. Power Syst., vol. 23, no. 3, pp. 1280-1287, Aug. 2008, doi: 10.1109/TPWRS.2008.926084.

[8] K. H. Youssef, “A New Method for Online Sensitivity-Based Distributed Voltage Control and Short Circuit Analysis of Unbalanced Distribution Feeders,” IEEE Trans. Smart Grid, vol. 6, no. 3, pp. 1253-1260, May 2015, doi: 10.1109/TSG.2014.2363158.

[9] A. Mohapatra, P. R. Bijwe, and B. K. Panigrahi, “An Efficient Hybrid Approach for Volt/Var Control in Distribution Systems,” IEEE Trans. Power Deliv., vol. 29, no. 4, pp. 1780-1788, Aug. 2014, doi: 10.1109/TPWRD.2014.2306845.

[10] L. Bai, J. Wang, C. Wang, C. Chen, and F. Li, “Distribution Locational Marginal Pricing (DLMP) for Congestion Management and Voltage Support,” IEEE Trans. Power Syst., vol. 33, no. 4, pp. 4061-4073, Jul. 2018, doi: 10.1109/TPWRS.2017.2767632.

[11] H. Yuan, F. Li, Y. Wei, and J. Zhu, “Novel Linearized Power Flow and Linearized OPF Models for Active Distribution Networks With Application in Distribution LMP,” IEEE Trans. Smart Grid, vol. 9, no. 1, pp. 438-448, Jan. 2018, doi: 10.1109/TSG.2016.2594814.

[12] MATPOWER. [Online]. Available: https://matpower.org/ [Accessed August 2021].




DOI: https://doi.org/10.34238/tnu-jst.5080

Refbacks

  • There are currently no refbacks.
TNU Journal of Science and Technology
Rooms 408, 409 - Administration Building - Thai Nguyen University
Tan Thinh Ward - Thai Nguyen City
Phone: (+84) 208 3840 288 - E-mail: jst@tnu.edu.vn
Based on Open Journal Systems
©2018 All Rights Reserved