Numerical Approximation of the Maximum Power Consumption in DC-MGs with CPLs via an SDP Model
This brief addresses the numerical approximation of the maximum power consumption in direct-current microgrids (DC-MGs) with constant power loads through a convex optimizing model. The convex formulation is developed via a semidefinite programming model and is solved by using a MATLAB/CVX package. F...
- 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:20.500.12585/9150
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9150
- Palabra clave:
- Admissible region
Constant power loads
Linear time-invariant DC grids
Power flow
Semidefinite programming
Convex optimization
Electric load flow
MATLAB
Admissible regions
Constant power load
DC grid
Power flows
Semidefinite programming
Electric power utilization
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Summary: | This brief addresses the numerical approximation of the maximum power consumption in direct-current microgrids (DC-MGs) with constant power loads through a convex optimizing model. The convex formulation is developed via a semidefinite programming model and is solved by using a MATLAB/CVX package. For comparison purposes the exact nonlinear model is solved in a GAMS package to compare the accuracy and quality of the results obtained with the proposed convex reformulation. Numerical testing is made with a small three-node DC-MG test system as well as DC-MGs from 10 to 150 nodes. © 2004-2012 IEEE. |
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