Risk Assessment Method for Distributed Power Distribution Networks Considering Network Dynamic Reconstruction

Authors

  • Tangyong Teng Institute of Advanced Technology for Carbon Neutrality, Nanjing University of Posts and Telecommunications, Nanjing, China
  • Yu Huang Institute of Advanced Technology for Carbon Neutrality, Nanjing University of Posts and Telecommunications, Nanjing, China
  • Juan Wang NARI Technology Co., Ltd., Nanjing, China
  • Zhukun Li NARI Technology Co., Ltd., Nanjing, China
  • Yonghua Chen NARI Technology Co., Ltd., Nanjing, China

DOI:

https://doi.org/10.5755/j02.eie.38195

Keywords:

Stochastic power flow; Distribution network reconfiguration; Combination weighting; Risk assessment.

Abstract

A new safety assessment framework has been proposed to address the operational risks of the integration of wind power and photovoltaic grid, which integrates the characteristics of distributed power sources with the dynamic reconfiguration requirements of the distribution grid. The framework comprehensively considers the impacts of wind power and photovoltaic output uncertainties, as well as load fluctuations, on the stability of the distribution grid. It also evaluates the safety under different operational states of the distribution grid. Using Halton sequence sampling technology to accurately simulate the output of distributed power sources and the status of system components, combined with CPLEX optimisation for solving, a dynamic reconfiguration model is constructed to address potential faults in the distribution grid. Introducing the combined weighting method, a comprehensive risk assessment system for voltage violations, power flow violations, and load shedding has been constructed. The effectiveness of this method has been validated through simulations on the IEEE33 bus and IEEE118 bus systems, providing new insights to improve the safety and reliability of distribution grids.

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Published

2024-08-26

How to Cite

Teng, T., Huang, Y., Wang, J., Li, Z., & Chen, Y. (2024). Risk Assessment Method for Distributed Power Distribution Networks Considering Network Dynamic Reconstruction. Elektronika Ir Elektrotechnika, 30(4), 26-34. https://doi.org/10.5755/j02.eie.38195

Issue

Section

RENEWABLE ENERGY

Funding data