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Control predictivo habilitado por datos de zona económica para sistemas conectados de aguas abiertas

Xiaoqiao Chen1, Xuewen Zhang2, Minghao Han3

  • 1Nanyang Environment and Water Research Institute, Nanyang Technological University, 1 CleanTech Loop, 637141, Singapore; Interdisciplinary Graduate Programme, Nanyang Technological University, 61 Nanyang Drive, 637460, Singapore; School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 62 Nanyang Drive, 637459, Singapore.

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PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un marco de control basado en datos para sistemas de aguas abiertas seguros y energéticamente eficientes. El nuevo método reduce significativamente las violaciones de zona y el consumo de energía en comparación con las estrategias existentes.

Palabras clave:
Sistemas conectados de aguas abiertasControl predictivo habilitado por datosMinimización del consumo de energíaControl predictivo basado en modelosRegulación del nivel de aguaSeguimiento de zonas

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Área de la Ciencia:

  • Gestión de Recursos Hídricos
  • Ingeniería de Control
  • Inteligencia Artificial

Sus antecedentes:

  • La operación en tiempo real de los sistemas de aguas abiertas es crucial para la seguridad, la eficiencia y la optimización energética.
  • Los métodos de control existentes (basados en reglas, basados en modelos) tienen limitaciones en entornos complejos, dinámicos e inciertos.
  • Se necesita un enfoque basado en datos para superar los desafíos de las estrategias de control tradicionales.

Objetivo del estudio:

  • Desarrollar un marco de control basado en zonas, totalmente basado en datos, para sistemas conectados de aguas abiertas.
  • Lograr una operación segura y energéticamente eficiente a través de la selección adaptativa de la zona objetivo de control.
  • Minimizar el consumo de energía operativa mientras se mantienen los niveles de agua deseados.

Principales métodos:

  • Se propuso un enfoque de control predictivo habilitado por datos de zona económica (DeePC) de mezcla entera.
  • Se utilizó optimización lexicográfica para manejar múltiples objetivos de control (seguimiento de zonas, minimización de energía).
  • Se empleó optimización bayesiana para la selección adaptativa de la zona objetivo de control para equilibrar objetivos contrapuestos.

Principales resultados:

  • El método propuesto mantuvo los niveles de agua dentro de la zona deseada durante el 97,04 % del tiempo de operación.
  • Se logró un consumo de energía promedio de 33,5 kWh por 0,5 h.
  • Se redujeron significativamente las violaciones de zona y el consumo de energía en comparación con los métodos de referencia y basados en reglas (por ejemplo, un 74,96 % menos de violaciones en comparación con el control basado en reglas).

Conclusiones:

  • El marco DeePC basado en datos con selección adaptativa de zonas gestiona eficazmente los sistemas de aguas abiertas.
  • El enfoque ofrece una solución robusta para una operación segura y energéticamente eficiente, superando a los métodos tradicionales.
  • Este método elimina la necesidad de modelado dinámico explícito, simplificando la implementación para sistemas de agua complejos.