Modified UVDA suitable for the reconfiguration of future smart grids consist of many dispersed generations

摘要

It is expected that future distribution networks be smarter and include many dispersed generations (DG) of different sizes. As an innate capability of Smart Grids, dynamic reconfiguration will be realized by the use of advanced remote control switches. Distribution network reconfiguration (DNR) is one of the simplest and robust ways to reduce operational losses. However, the problem of DNR is a nonlinear combinatorial discrete problem which makes it difficult to be solved using mathematical optimization methods. UVDA is a robust reconfiguration algorithm which works flawlessly when network encompasses very few DGs. however, its performance weakens when the distribution network contains numerous DGs. In this paper, a modification is proposed to the network data which strengthens UVDA's ability in finding optimal configuration. The proposed method is verified through simulation results on 33-bus distribution network.