Integration of energy storage systems in AC distribution networks: Optimal location, selecting, and operation approach based on genetic algorithms

This paper presents a method to find the optimal location, selection, and operation of energy storage systems (ESS- batteries-) and capacitors banks (CB) in distribution systems (DS). A mixed-integer non-linear programming model is proposed to formulate the problem. In this model, the minimization o...

Full description

Autores:

Tipo de recurso:

Fecha de publicación:

2019

Institución:

Universidad Tecnológica de Bolívar

Repositorio:

Repositorio Institucional UTB

Idioma:

eng

OAI Identifier:

oai:repositorio.utb.edu.co:20.500.12585/9050

Acceso en línea:

https://hdl.handle.net/20.500.12585/9050

Palabra clave:

Capacitor banks
Chu & Beasley genetic algorithm
Energy storage systems
Master-slave algorithm
Optimal power flow
Radial distribution networks
Data storage equipment
Electric energy storage
Electric load flow
Energy dissipation
Genetic algorithms
Integer programming
Location
Nonlinear programming
Numerical methods
Voltage regulators
Capacitor bank
Energy storage systems
Master slave
Optimal power flows
Radial distribution networks
Flow batteries

Rights

restrictedAccess

License

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