Modelo de Gerenciamiento de Consumo de Energ{\'{i}}a El{\'{e}}ctrica Residencial en Smart Grids
Sicchar, Jos{\'{e}} R. and {De Freitas
- Journal
- Autor
- Sicchar, Jos{\'{e}} R. and {De Freitas
- Book Title
- Proc. 9th CLAGTEE 2013
- Volume
- 0
- Página(s)
- 1--7
- DOI
- Published
- 2013
- Month
- 0
- Tipo de Documento
- Conference Proceedings
- Abstract
- This paper presents the results of a frame model for low voltage smart grid using intelligent agents having embedded algorithms to energy managing consumption (EMC). This model is the Hybrid Energy Consumption Frame (HECF) and it shows the energy consumption forecast during a future year, based on the history of discrete states energy use, and their diagnosis for equilibrium power feeders. The model is formed by a modeling process based on jump Markov chain to energy forecasting; also by a Mamdani Fuzzy inference for equilibrium phase's diagnosis. The benefits generated by this model among others are the energy custom made and the intelligent scheduling of energy uses for customers, as well as the equilibrium feeders and the power losses decrease on low voltage distributed grid. Therefore establishes an intelligent automation process for low voltage smart grids.
- Keywords
- Fuzzy Systems.,HECF Model,Intelligent Agents,Markov Chain,Smart Grid.
- Publisher
- URL