Dynamic reconstruction of active distribution networks based on second‑order cone programming for optimal power flow calculation

Authors

Jinjun WANG, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Tongyu LI, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Heng CHEN, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, ChinaFollow
Tao LIU, Beijing Guo Dian Tong Network Technology Co.， Ltd., Beijing 100086, China
Honggang CHEN, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China

Keywords

distributed power supply; second order cone programming; optimal power flow; reconstruction of active distribution networks; active management element

Abstract

To effectively address the uncertainty and volatility brought by the large-scale integration of renewable energy into the grid and achieve optimal operation of the distribution network, a dynamic network reconfiguration optimization method considering the time-varying nature of distributed generation (DG) and load demand characteristics is proposed. Firstly, to tackle the non-convexity of the traditional static branch power flow model, slack variables are introduced to transform it into second-order cone constraints, establishing an optimal power flow model based on second-order cone relaxation. Then, considering the constraints of active management elements in the active distribution network environment, a multi-period distribution network reconfiguration model under high penetration of DG is constructed with the optimization objectives of minimizing network losses and electricity purchases while ensuring voltage stability. Finally, the Yalmip toolbox and Gurobi solver are employed for modeling and solving, and the IEEE33-node model is adapted for verification and analysis. The results of the case study demonstrate that the proposed scheme reduces the expected network loss value from 0.176 MW to 0.097 MW, a decrease of 44.89%, and improves the voltage level by 1.40%, thereby validating the effectiveness of the model.

DOI

10.19781/j.issn.1673-9140.2024.05.006

First Page

58

Last Page

66

Recommended Citation

WANG, Jinjun; LI, Tongyu; CHEN, Heng; LIU, Tao; and CHEN, Honggang (2024) "Dynamic reconstruction of active distribution networks based on second‑order cone programming for optimal power flow calculation," Journal of Electric Power Science and Technology: Vol. 39: Iss. 5, Article 6.
DOI: 10.19781/j.issn.1673-9140.2024.05.006
Available at: https://jepst.researchcommons.org/journal/vol39/iss5/6