Optimization of System Partitioning Schemes for Power System Black-Start Restoration Based on Genetic Algorithms

2010 ◽  
Author(s):  
Haiping Liang ◽  
Xueping Gu ◽  
Dongwen Zhao
Keyword(s):  
Genetic Algorithms ◽  
Power System ◽  
System Partitioning

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.

Coordinated tuning of power system controllers using parallel genetic algorithms

2021 ◽  
Vol 190 ◽  
pp. 106628
Author(s):  
Ruben Dario Kang ◽  
Eustaquio Alcides Martinez ◽  
Enrique Chaparro Viveros
Keyword(s):  
Genetic Algorithms ◽  
Power System ◽  
Parallel Genetic Algorithms ◽  
Power System Controllers

Taxonomy of coherency detection and coherency-based methods for generators grouping and power system partitioning

2019 ◽  
Vol 13 (12) ◽  
pp. 2597-2610 ◽  
Author(s):  
Mohammad Hossein Rezaeian Koochi ◽  
Saeid Esmaeili ◽  
Gerard Ledwich
Keyword(s):  
Power System ◽  
System Partitioning

Genetic algorithms to solve the power system restoration planning problem

2009 ◽  
Vol 25 (3) ◽  
pp. 261-268 ◽  
Author(s):  
Adelmo L. Cechin ◽  
José V. Canto dos Santos ◽  
Carlos A. Mendel ◽  
Arthur T. Gómez
Keyword(s):  
Genetic Algorithms ◽  
Power System ◽  
Planning Problem ◽  
Restoration Planning ◽  
Power System Restoration ◽  
System Restoration
Sign in / Sign up

Export Citation Format

Share Document