Abstract This paper presents a comprehensive energy management system based centralized control for a smart greenhouse integrating a microgrid with the aim to optimize and control the global internal environment and the crop growth. The objective is to develop an advanced and comprehensive energy management platform based model predictive control (MPC) considering intermittent behaviour of renewable energy production, energy and water storage dynamics as well as uncertainties related to climate conditions. A multi-objective integrated optimization framework is proposed to manipulate the whole operation of the smart greenhouse that considers both forecasts and updated data collected from the available wireless sensor network. The MPC-based scheduling is verified via a case study where its numerical results are depicted and discussed.

中文翻译：

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智能温室集成微电网优化运行调度

摘要 本文提出了一种基于集中控制的综合能源管理系统，用于集成微电网的智能温室，旨在优化和控制全球内部环境和作物生长。目标是开发一个基于模型预测控制 (MPC) 的先进和综合能源管理平台，考虑到可再生能源生产的间歇性行为、能源和储水动态以及与气候条件相关的不确定性。提出了一个多目标集成优化框架来操纵智能温室的整个运行，该框架考虑了从可用无线传感器网络收集的预测和更新数据。基于 MPC 的调度通过一个案例研究来验证，其中描述和讨论了其数值结果。