The present invention discloses a
model predictive control-based home integrated energy intelligent optimization and
management system. According to the technical scheme of the invention, the structural features of a home energy
local area network and the operating characteristics of all devices are analyzed, and then an economic operation scheme for the optimal
energy management of the
system is constructed. The
system comprises a
data acquisition module, a prediction module, an
energy management and optimization module, a real-time scheduling optimization module, and a control and communication terminal module. Based on the
model predictive control method, the online rolling optimized solution is conducted according to the
energy consumption requirements of a load within different time periods, the real-time price of energy, and the state information of
distributed power generation equipment and
energy storage equipment. Therefore, the optimum allocation of the energy, and the economic and
safe operation of the
system are realized. Based on
the internet technology, a
network service platform is set up. Through a
handset app, the functions of on-line monitoring,
remote control and the like are realized. In this way, a user can know the
energy consumption condition of home energy and the operating states of all intelligent devices at any time, so that the remote monitoring is realized for the user. The system provides a novel economic
energy management mode for the user.