A model prediction and control method for building energy supply system with integrated electric refrigerator

Abstract

The present invention relates to a building energy supply system model prediction control method with an integrated electric refrigerator. Its technical features include the following steps: Step 1. Establishing a building virtual energy storage system, an electric refrigerator, a diesel power generation unit, a fuel cell, The building energy supply system model composed of batteries; Step 2. After establishing the scheduling model framework, give the day-ahead, intra-day and rolling part models respectively, and then construct the multi-time scale forecast scheduling model of the building energy supply system. According to the building energy supply system and building users Multi-time scale optimization scheduling is required. The invention integrates the virtual energy storage model of the building including the electric refrigerator, and integrates the virtual energy storage model into the model prediction and control method of the building energy supply system, and further excavates the energy consumption of the building under the premise of ensuring the indoor temperature comfort of the building. flexibility.

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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