Prediction and control method of building microgrid model based on virtual energy storage system

Abstract

The invention relates to a building micro-grid model prediction and control method integrated with a virtual energy storage system, including: input variable prediction model construction; under four prediction uncertainty levels, output power of wind turbines, photovoltaic output power, load demand and real-time electricity prices The value of the prediction uncertainty threshold; the construction of the control variable prediction model; the construction of the rolling optimization objective function: in the rolling optimization process, the optimization goal is to minimize the operating cost of the building microgrid in the control time domain, and the operating cost includes the power purchase cost of the distribution network, equipment use and maintenance Cost and penalty function items considering user comfort; selection of rolling optimization constraints: firstly, it is necessary to consider the power balance constraints of the building microgrid; heat balance constraints and cold balance constraints, and then the constraints of various devices themselves, including the power The upper and lower limit constraints, the charging and discharging power of energy storage equipment, and the energy storage constraints, construct a micro-grid economic optimal scheduling model; optimize the scheduling solution.

Description

technical field [0001] The invention relates to the optimal operation of a micro-energy network, in particular to a method for predicting and controlling a building micro-network model. Background technique [0002] With the acceleration of urbanization and the improvement of people's living standards, my country's energy demand is growing rapidly, and building energy consumption is expected to account for 35% of the country's total energy consumption by 2020. Therefore, the end-use energy system represented by buildings has huge potential for energy saving and emission reduction. Fully tapping the demand-side energy-saving potential represented by buildings is of great significance for solving the increasingly prominent contradictions between energy demand growth and energy shortage, energy utilization and environmental protection in the process of human society development. In an environment where the output of distributed renewable energy fluctuates randomly, one of the ...

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Problems solved by technology

[0005] The present invention provides a building micro-grid model prediction and control method, which replaces one off-line full-time optimization with repeated rolling optimization based on the actual operating state of the building micro-grid within a limited period of time, effectively solving the problem that the prediction accuracy of renewable energy output decreases with the increase of the time scale problems, and under the premise of ensuring temperature comfort, the virtual energy storage potential of buildings participating in micro-grid optimization and regulation can be fully tapped to further reduce the operating cost of building micro-grids

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