Control predictivo cooperativo de entornos energéticamente eficientes

In this paper is developed an analysis and study of modeling strategies, control and optimization of field-based Model Predictive Control (MPC) that will achieve an efficient energy management in campus environments, technology park or district where maximize the use of renewable energies. The probl...

Повний опис

Бібліографічні деталі
Автор: Hernández Hernández, César Ernesto
Інші автори: Rodríguez Díaz, Francisco de Asís
Формат: info:eu-repo/semantics/doctoralThesis
Мова:Spanish / Castilian
Опубліковано: 2014
Предмети:
Онлайн доступ:http://hdl.handle.net/10835/2598
Опис
Резюме:In this paper is developed an analysis and study of modeling strategies, control and optimization of field-based Model Predictive Control (MPC) that will achieve an efficient energy management in campus environments, technology park or district where maximize the use of renewable energies. The problem consists of different levels of control, as they must make decisions about the end use of the available energy and therefore are different objectives to fulfill (minimize fuel use, economics aspects, etc.). This leads to a hierarchical control problem to be addressed including technical as economic MPC and MPC cooperative and distributed. An study of the state of the art is presented about formulations, techniques and strategies for optimal cooperative MPC economic management of interconnected power systems.