Dynamic reconfiguration of distribution network considering the uncertainty of distributed generation and loads

Frontiers in Energy Research

Energy Research

Qi Liu¹  Huizhe Shi¹  Lihong Zhang¹  Xingquan Ji² 

[1] College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China;null;

关键词: dynamic reconfiguration;    distributed generations;    uncertainty;    sensitivity;    co-evolution;   

DOI  :  10.3389/fenrg.2023.1279579

 received in 2023-08-18, accepted in 2023-09-18,  发布年份 2023

来源: Frontiers

【 摘 要 】

This study presents a new methodology to perform the distribution network dynamic reconfiguration (DNDR), taking into consideration the stochastic variations of loads and distributed generation (DG) of power. To solve the heavy computational burden that exists in traditional algorithms of the DNDR, this study first establishes the nodal sensitivity models to calculate the nodal variations caused by nodal power variations. Then, the DNDR is executed utilizing a co-evolutionary algorithm with the goal of loss minimization. The stochastic power flow calculations (PFCs) based on the nodal sensitivity are performed in the DNDR to handle the power fluctuations of the DGs and loads. Finally, the modified IEEE 33-bus test system and a practical distribution system are used for simulations. The simulation results validate the quickness and effectiveness of the proposed DNDR method.

【 授权许可】

Unknown   
Copyright © 2023 Liu, Zhang, Ji and Shi.