Ponencia
An Application of the Logarithmic Mean Divisia Index Method for Predictive Control Schemes to a Power Flow Network
Autor/es | Maestre Torreblanca, José María
Velarde Rueda, Pablo Muros Ponce, Francisco Javier |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2019 |
Fecha de depósito | 2021-05-14 |
Publicado en |
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ISBN/ISSN | 978-1-5386-7926-5/ |
Resumen | In this paper, a method typically used in economics
is applied to distributed decision making problems solved by
model predictive control. The main purpose is to analyze the
changes in certain aggregate indicators under ... In this paper, a method typically used in economics is applied to distributed decision making problems solved by model predictive control. The main purpose is to analyze the changes in certain aggregate indicators under study, which are decomposed among a number of factors. In particular, the logarithmic mean divisia index (LMDI) method is used to study how controllers contribute to the performance and how disturbances are generated. Finally, a flow network, which is a system structure that appears in many real problems such as power grids, is used as an academic case study to illustrate the proposed method. |
Cita | Maestre Torreblanca, J.M., Velarde, P. y Muros Ponce, F.J. (2019). An Application of the Logarithmic Mean Divisia Index Method for Predictive Control Schemes to a Power Flow Network. En American Control Conference (3243-3248), Philadelphia, PA, USA: Institute of Electrical and Electronics Engineers (IEEE). |
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