Affiliation:
1. The NorthCap University, Gurgaon, India
Abstract
To integrate network load and line uncertainties in the radial distribution
network (RDN), the probabilistic and possibilistic method has been applied.
The load uncertainty is considered to vary as Gaussian distribution function
whereas line uncertainty is varied at a fixed proportion. A voltage
stability index is proposed to assign solar PV-DG optimally followed by
application of PSO technique to determine the optimal power rating of DG.
Standard IEEE 33- and 69-bus RDN are considered for the analysis. The impact
of various uncertainties in the presence of optimally integrated solar PV-DG
has been carried out on 69-bus network. The results obtained are superior to
fuzzy-arithmetic algorithm. Faster convergence characteristic is obtained
and analyzed at different degree of belongingness and realistic load models.
The narrower interval width indicates that the observed results are
numerically stable. To improve network performance, the technique takes into
account long-term changes in the load profile during the planning stage. The
significant drop in network power losses, upgraded bus voltage profile and
noteworthy energy loss savings are observed due to the introduction of
renewable DG. The results are also statistically verified.
Publisher
National Library of Serbia
Subject
General Materials Science
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献