| Revista: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000384089 |
| ISSN: | 1665-6423 |
| Autores: | Marmolejo Saucedo, J.A1 Rodríguez Aguilar, R2 |
| Instituciones: | 1Universidad Anáhuac, Facultad de Ingeniería, México, Distrito Federal. México 2Instituto Politécnico Nacional, Escuela de Economía, México, Distrito Federal. México |
| Año: | 2015 |
| Periodo: | Jun |
| Volumen: | 13 |
| Número: | 3 |
| Paginación: | 428-434 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | Nowadays, in power systems, we still lack the existence of standardized test systems that can be used to benchmark the performance and solution quality of proposed optimization techniques. Several authors report that the electric load pattern is very complex. It is therefore necessary to develop new methods for design of test cases for economic analysis in power systems. Therefore, we compared two methods to generate test systems: time series model and a method simulating stable random variables based on the use of Chambers-Mallows-Stuck. This paper describes a method for simulating stable random variables in the generation of test systems for economic analysis in power systems. A study focused on generating test electrical systems through stable distribution to model for unit commitment problem in electrical power systems. Usually, the instances of test systems in unit commitment are generated using normal distribution, but the behavior of electrical demand does not follow a normal distribution; in this work, simulation data are based on a new method. For empirical analysis, we used three original systems to obtain the demand behavior and thermal production costs. Numerical results illustrate the applicability of the proposed method by solving several unit commitment problems directly and through the Lagrangian relaxation of the original problem |
| Disciplinas: | Ingeniería |
| Palabras clave: | Ingeniería eléctrica, Sistemas de energía, Distribución estable, Sistemas de prueba, Series de tiempo, Análisis económico |
| Keyword: | Engineering, Electrical engineering, Power systems, Stable distribution, Test systems, Time series, Economic analysis |
| Texto completo: | Texto completo (Ver HTML) |
