Using smart meter data to improve the performance of overcurrent protective devices in distribution systems with DG

Author(s):  
R. H. Douglin ◽  
F. A. Ituzaro ◽  
K. L. Butler-Purry
2013 ◽  
Vol 848 ◽  
pp. 166-171
Author(s):  
Ignacio Juan Ramírez Rosado ◽  
Enrique Zorzano Alba

This paper presents a multiobjective optimization method, using an enumerative procedure for determining the optimal number and the optimal locations of sectionalizing switches and protective devices, in order to achieve the best ENS (Energy Not Supplied) reliability index with minimal investment cost in distribution network systems with several substations (STR). To achieve this, two objective functions are optimized: one defined by an ENS reliability index and the other defined by the economic investment costs. From all the achieved solutions, the non-dominated solutions are selected, which represent the best results for each economic investment. Thus, the planner can utilize a support tool for decision-making regarding investment and installation of sectionalizing switches and protective devices, taking into account the technical and economic limitations imposed by the electric utility.


2008 ◽  
Vol 78 (3) ◽  
pp. 372-381 ◽  
Author(s):  
Luis G. Wesz da Silva ◽  
Rodrigo A. Fernandes Pereira ◽  
Juan Rivier Abbad ◽  
José R. Sanches Mantovani

2009 ◽  
Vol 38 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Luis G. Wesz Da Silva ◽  
Rodrigo A. Fernandes Pereira ◽  
Juan Rivier Abbad ◽  
José R. Sanches Mantovani

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 199
Author(s):  
Chengwei Lei ◽  
Weisong Tian

Fused contactors and thermal magnetic circuit breakers are commonly applied protective devices in power distribution systems to protect the circuits when short-circuit faults occur. A power distribution system may contain various makes and models of protective devices, as a result, customizable simulation models for protective devices are demanded to effectively conduct system-level reliable analyses. To build the models, thermal energy-based data analysis methodologies are first applied to the protective devices’ physical properties, based on the manufacturer’s time/current data sheet. The models are further enhanced by integrating probability tools to simulate uncertainties in real-world application facts, for example, fortuity, variance, and failure rate. The customizable models are expected to aid the system-level reliability analysis, especially for the microgrid power systems.


Sign in / Sign up

Export Citation Format

Share Document