A conceptual microgrid management framework based on adaptive and autonomous multi-agent systems
The Smart Grids paradigm emerged as a response to the need to modernize the electric grid and address problems related to the demand for better energy quality. However, there are no fully developed and implemented smart grids. Centralized systems are still common, with a low granularity of control a...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/136222 |
| Aporte de: |
| id |
I19-R120-10915-136222 |
|---|---|
| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Demand-Side Management Distributed Systems Lifespan Estimation Load Forecasting Organization Centered Multi-Agent System Gestión de la demanda Sistemas distribuidos Estimación de la vida útil Predicción del consumo eléctrico Sistemas Multi-Agente Organizacionales |
| spellingShingle |
Ciencias Informáticas Demand-Side Management Distributed Systems Lifespan Estimation Load Forecasting Organization Centered Multi-Agent System Gestión de la demanda Sistemas distribuidos Estimación de la vida útil Predicción del consumo eléctrico Sistemas Multi-Agente Organizacionales Jiménez, Víctor A. Lizondo, Diego F. Araujo, Pedro B. Will, Adrián L. E. A conceptual microgrid management framework based on adaptive and autonomous multi-agent systems |
| topic_facet |
Ciencias Informáticas Demand-Side Management Distributed Systems Lifespan Estimation Load Forecasting Organization Centered Multi-Agent System Gestión de la demanda Sistemas distribuidos Estimación de la vida útil Predicción del consumo eléctrico Sistemas Multi-Agente Organizacionales |
| description |
The Smart Grids paradigm emerged as a response to the need to modernize the electric grid and address problems related to the demand for better energy quality. However, there are no fully developed and implemented smart grids. Centralized systems are still common, with a low granularity of control and reduced monitoring capacity, especially in low-voltage networks. In this work, we propose a framework for Microgrid Management, providing solutions for three main problems: Peak Shaving addressed with a distributed control algorithm based on Artificial Immune Systems for demand-side management; Transformer Lifespan Estimation using a thermal model adjusted by Genetic Algorithms; Short-Tenn Load Forecasting based on Artificial Neural Networks and Genetic Algorithms. Combining these solutions, we can reduce peak loads by controlling air conditioners without affecting user comfort, detennine the negative effects of overloading on distribution transfonners and provide demand forecasting. The proposed framework is based on autonomous and distributed systems, so the Organization Centered Multi-Agent Systems methodology was applied for modeling and development. The implemented solutions were applied in the Tucumán province, Argentina, exposing the system’s benefits and the relevance of the information generated by the framework. |
| format |
Articulo Articulo |
| author |
Jiménez, Víctor A. Lizondo, Diego F. Araujo, Pedro B. Will, Adrián L. E. |
| author_facet |
Jiménez, Víctor A. Lizondo, Diego F. Araujo, Pedro B. Will, Adrián L. E. |
| author_sort |
Jiménez, Víctor A. |
| title |
A conceptual microgrid management framework based on adaptive and autonomous multi-agent systems |
| title_short |
A conceptual microgrid management framework based on adaptive and autonomous multi-agent systems |
| title_full |
A conceptual microgrid management framework based on adaptive and autonomous multi-agent systems |
| title_fullStr |
A conceptual microgrid management framework based on adaptive and autonomous multi-agent systems |
| title_full_unstemmed |
A conceptual microgrid management framework based on adaptive and autonomous multi-agent systems |
| title_sort |
conceptual microgrid management framework based on adaptive and autonomous multi-agent systems |
| publishDate |
2022 |
| url |
http://sedici.unlp.edu.ar/handle/10915/136222 |
| work_keys_str_mv |
AT jimenezvictora aconceptualmicrogridmanagementframeworkbasedonadaptiveandautonomousmultiagentsystems AT lizondodiegof aconceptualmicrogridmanagementframeworkbasedonadaptiveandautonomousmultiagentsystems AT araujopedrob aconceptualmicrogridmanagementframeworkbasedonadaptiveandautonomousmultiagentsystems AT willadrianle aconceptualmicrogridmanagementframeworkbasedonadaptiveandautonomousmultiagentsystems AT jimenezvictora unframeworkconceptualparalagestiondemicrorredesbasadoensistemasmultiagentesadaptativosyautonomos AT lizondodiegof unframeworkconceptualparalagestiondemicrorredesbasadoensistemasmultiagentesadaptativosyautonomos AT araujopedrob unframeworkconceptualparalagestiondemicrorredesbasadoensistemasmultiagentesadaptativosyautonomos AT willadrianle unframeworkconceptualparalagestiondemicrorredesbasadoensistemasmultiagentesadaptativosyautonomos AT jimenezvictora conceptualmicrogridmanagementframeworkbasedonadaptiveandautonomousmultiagentsystems AT lizondodiegof conceptualmicrogridmanagementframeworkbasedonadaptiveandautonomousmultiagentsystems AT araujopedrob conceptualmicrogridmanagementframeworkbasedonadaptiveandautonomousmultiagentsystems AT willadrianle conceptualmicrogridmanagementframeworkbasedonadaptiveandautonomousmultiagentsystems |
| bdutipo_str |
Repositorios |
| _version_ |
1764820456841412609 |