A predictive control strategy for optimal operation of a chicken coop integrated microgrid

This paper presents a chicken coop controller based on model predictive control (MPC), designed to optimally regulate key variables such as artificial lighting, indoor temperature and humidity, ventilation, and water supply within desired ranges. The primary objectives of the MPC are to maximize chicken production while efficiently managing water and energy resources, all while accounting for the unpredictability and intermittency of renewable energy sources and external weather conditions. This approach enhances chicken coop management by proactively anticipating control actions, ultimately improving production quality. To achieve this, the paper outlines the mathematical formulation of the optimal control problem and provides a comprehensive analysis of the numerical results from applying MPC to a case study.