Measurement-based exponential recovery load model: development and validation
Load modeling is an important task in power system stability analysis and control. Taking this into account, the development of dynamic load models using a measurement-based load modeling strategy and an improved particle swarm optimization algorithm is presented in this paper. To accomplish this ob...
- Autores:
-
Rodríguez García, Luis
Pérez-Londoño, Sandra Milena
Mora Flórez, Juan José
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2015
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60691
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60691
http://bdigital.unal.edu.co/59023/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
Measurement-based load modeling
particle swarm optimization
parameter estimation
exponential recovery load model
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | Load modeling is an important task in power system stability analysis and control. Taking this into account, the development of dynamic load models using a measurement-based load modeling strategy and an improved particle swarm optimization algorithm is presented in this paper. To accomplish this objective, a measurement-based parameter estimation method is used for identification of an exponential recovery load model. Measurements are obtained performing dynamic simulation of an IEEE 30-bus test system under several disturbances, and additionally, cross validation technique is applied for an analysis of load model generalization capability. An adequate load modeling improves the comprehension of load behavior and the capability of reproduce transient events on power systems. |
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