Contingency selection and static security enhancement in power systems using heuristics-based genetic algorithms

2004 ◽  
Author(s):  
A. Sudersan ◽  
M. Abdelrahman ◽  
G. Radman
Keyword(s):  
Genetic Algorithms ◽  
Power Systems ◽  
Security Enhancement ◽  
Static Security

scholarly journals A GENETIC BASED TECHNIQUE FOR THE DETERMINATION OF POWER SYSTEM TOPOLOGICAL OBSERVABILITY

2014 ◽  
pp. 16-21
Author(s):  
S. Vazquez-Rodriguez ◽  
R. J. Duro
Keyword(s):  
Genetic Algorithms ◽  
Power Systems ◽  
Power System ◽  
Spanning Tree ◽  
Point Of View ◽  
Genetic Operators ◽  
Building Process ◽  
Phenotype Transformation

In this paper we have addressed the problem of observability of power systems from the point of view of topological observability and using genetic algorithms for its determination. The objective is to find a way to determine if a system is observable by establishing if a spanning tree of the system that verifies certain properties with regards to the use of available measurements can be obtained. To this end we have developed a genotype-phenotype transformation scheme for genetic algorithms that permits using very simple genetic operators over integer based chromosomes which after a building process can become very complex trees. The procedure was successfully applied to standard benchmark systems and we present some results for one of them.

Toward a More Reliable System for Contingency Selection in Static Security Analysis of Electric Power Systems

2020 ◽  
Vol 14 (1) ◽  
pp. 1183-1194 ◽  
Author(s):  
Juarez Machado da Silva ◽  
Iverson Costa ◽  
Jose Vicente Canto dos Santos ◽  
Jorge Luis Victoria Barbosa ◽  
Torsten Braun ◽  
...  
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Security Analysis ◽  
Electric Power Systems ◽  
Reliable System ◽  
Static Security
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