A New Approach for the Monte-Carlo Method to Locate and Size DGs in Distribution Systems

This paper proposes a new approach for a Parallel implementation of Monte-Carlo method aimed for optimal location and sizing of distributed generators in distribution networks. In this approach, a reduction of the solution space is performed, using heuristic strategies, to improve processing times,...

Full description

Autores:

Tipo de recurso:

Fecha de publicación:

2018

Institución:

Universidad Tecnológica de Bolívar

Repositorio:

Repositorio Institucional UTB

Idioma:

eng

OAI Identifier:

oai:repositorio.utb.edu.co:20.500.12585/8859

Acceso en línea:

https://hdl.handle.net/20.500.12585/8859

Palabra clave:

Distributed generators
Monte-carlo method
Optimization techniques
Parallel processing
Distributed power generation
Electric load flow
Electric losses
Functions
Genetic algorithms
Location
MATLAB
Software testing
Distributed generators
Distribution systems
Mathematical formulation
Optimization strategy
Optimization techniques
Parallel implementations
Parallel Monte Carlo
Parallel processing
Monte Carlo methods

Rights

restrictedAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/