Predictive control method for building energy supply system model with integrated electric refrigerator

Abstract

The invention relates to a predictive control method for a building energy supply system model with an integrated electric refrigerator. The predictive control method is characterized by comprising the following steps: 1, establishing a building energy supply system model consisting of a building virtual energy storage system, an electric refrigerator, a diesel power generation unit, a fuel cell and a storage battery; and 2, establishing a scheduling model framework, giving day-ahead, within-day and rolling part models to build a multi-time-scale predictive scheduling model of the building energy supply system, and carrying out multi-time-scale optimal scheduling according to the demands of the building energy supply system and building users. The building virtual energy storage model including the electric refrigerator is integrated, and the virtual energy storage model is integrated into the model predictive control method of the building energy supply system, thereby further miningthe flexibility of building energy consumption on the premise of ensuring the indoor temperature comfort of the building.

Description

technical field [0001] The invention belongs to the technical field of optimal control of an energy supply system containing electric energy instead of a load, and relates to a multi-time scale model prediction and control method for a building energy supply system, in particular to a model prediction and control method for a building energy supply system with an integrated electric refrigerator. Background technique [0002] As energy and environmental issues become increasingly prominent around the world, it has become a global consensus to actively develop renewable energy and improve energy utilization efficiency. According to the "2016 International Energy Outlook" released by the US Energy Information Administration, the energy consumption of buildings accounts for about 20% of the total energy transferable in the world. The 2016 "China Building Energy Conservation Development Report" data shows that my country's total building energy consumption accounts for more than...

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Problems solved by technology

The above research plays an important role in predicting the energy management of building energy supply systems in uncertain environments, but the open-loop optimal scheduling method used in intraday real-time scheduling is based on the optimal power flow of a single section to solve the intraday operation scheme of building energy supply systems, and It is difficult to perceive the state changes of the building energy supply system in the future by issuing all optimization instructions at one time, and the resulting optimization scheme is less robust

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