Model Predictive Control for the Energy Management in a District of Buildings Equipped with Building Integrated Photovoltaic Systems and Batteries

This paper introduces a Model Predictive Control (MPC) strategy for the optimal energy management of district whose buildings are equipped with vertically placed Building Integrated Photovoltaic (BIPV) systems and Battery Energy Storage Systems (BESS). The BIPV able to cover larger areas buildings’ surfaces, as compared conventional rooftop PV systems, reach their peak production during winter spring, which renders them suitable harvesting especially in urban areas. Driven by both these relative advantages, proposed aims maximize district’s autonomy from external grid, is achieved through cooperation interactive buildings. Therefore, major contribution this study group buildings, each its own system vertical panels BESS, carried out an MPC strategy. control scheme consists three main components, i.e., forecaster, optimizer district, interact periodically other. In order quantitatively evaluate benefits implementation hypothetical five-node distribution network located Greece four representative days year was examined, followed sensitivity analysis examine effect configuration on performance.