Measurement-based exponential recovery load model: Development and validation
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2015
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| _version_ | 1876425465364742144 |
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| author | Luis Rodríguez-García |
| author_facet | Luis Rodríguez-García |
| contents | Measurement-based exponential recovery load model: Development and validation Luis Rodríguez-García Sandra Pérez-Londoño Juan Mora-Flórez Ingeniería Measurement based load modeling parameter estimation particle swarm optimization exponential recovery load model Load modeling is an important task in power system stability an alysis and control. Taking this into account, the development o f dynamic load models using a measurement-based load modeling strategy an d an improved particle swarm opt imization algorithm is presente d in this paper. To accomplish this objective, a measurement-based p arameter estimation method is used for identification of an exp onential recovery load model. Measurements are obtained performing dynam ic simulation of an IEEE 30-bus test system under several distu rbances, and, additionally, a cross validation technique is applied for an analysis of load model generalization capability. An adequat e load modeling improves the comprehension of load behavior and the capability of reproducing transient events on power systems. 2015 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49640676015 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.192 Vol.82 |
| format | Artículo científico |
| id | redalyc_49640676015 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Measurement-based exponential recovery load model: Development and validation Luis Rodríguez-García Ingeniería Measurement based load modeling parameter estimation particle swarm optimization exponential recovery load model Measurement-based exponential recovery load model: Development and validation Luis Rodríguez-García Sandra Pérez-Londoño Juan Mora-Flórez Ingeniería Measurement based load modeling parameter estimation particle swarm optimization exponential recovery load model Load modeling is an important task in power system stability an alysis and control. Taking this into account, the development o f dynamic load models using a measurement-based load modeling strategy an d an improved particle swarm opt imization algorithm is presente d in this paper. To accomplish this objective, a measurement-based p arameter estimation method is used for identification of an exp onential recovery load model. Measurements are obtained performing dynam ic simulation of an IEEE 30-bus test system under several distu rbances, and, additionally, a cross validation technique is applied for an analysis of load model generalization capability. An adequat e load modeling improves the comprehension of load behavior and the capability of reproducing transient events on power systems. 2015 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49640676015 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.192 Vol.82 |
| title | Measurement-based exponential recovery load model: Development and validation |
| topic | Ingeniería Measurement based load modeling parameter estimation particle swarm optimization exponential recovery load model |
| url | https://www.redalyc.org/articulo.oa?id=49640676015 |