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Building micro-grid model predicative regulation and control method integrating virtual energy storage system

A technology for virtual energy storage and model prediction, which is applied to AC networks with energy trade/energy transmission authority, wind power generation, energy storage, etc. It can solve problems such as reducing the operating cost of building microgrids and reducing the accuracy of renewable energy output forecasting. , to achieve the effect of reducing operating costs and strong robustness

Inactive Publication Date: 2018-02-23
TIANJIN UNIV
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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

Method used

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  • Building micro-grid model predicative regulation and control method integrating virtual energy storage system
  • Building micro-grid model predicative regulation and control method integrating virtual energy storage system
  • Building micro-grid model predicative regulation and control method integrating virtual energy storage system

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Embodiment Construction

[0041] In the summer cooling scenario, according to the characteristics of building walls and other enclosure structures that have heat insulation effects, a building virtual energy storage system model is constructed, and integrated into the optimization and regulation of the building microgrid as a flexible and controllable unit; then, the model is used to predict The control method optimizes and regulates multi-type energy supply units, building energy loads, and virtual energy storage systems in the building microgrid, effectively solving the problem of building microgrid optimization and control schemes caused by renewable energy output, load demand, and real-time electricity price prediction errors. While solving the problem of large deviations in actual operation scenarios, tap the potential of virtual energy storage in buildings to reduce operating costs.

[0042] The building micro-grid model prediction and control method of the integrated virtual energy storage system...

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Abstract

The invention relates to a building micro-grid model predicative regulation and control method integrating a virtual energy storage system. The building micro-grid model predicative regulation and control method comprises the steps of: constructing an input variable prediction model; setting values of prediction uncertainty threshold values of draught fan output power, photovoltaic output power, load demand and real-time electricity price under four prediction uncertainty levels; constructing a control variable prediction model; constructing a rolling optimization objective function, wherein an optimization object is a lowest operation cost of a building micro-grid in a control time domain, and the operation cost includes a power distribution network electricity purchasing cost, an equipment use and maintenance cost and a penalty function term considering comfort of a user; selecting rolling optimization constraint conditions, wherein the selection is implemented by considering a building micro-grid electric power balance constraint, a thermal balance constraint and a cold balance constraint at first, then considering constraints of various types of equipment including upper and lower limit constraints of power of the equipment, charge and discharge power and energy storage constraints of energy storage equipment, and constructing a micro-grid economical optimization and scheduling model; and solving optimization and scheduling.

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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Application Information

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IPC IPC(8): H02J3/00H02J3/28H02J3/38
CPCH02J3/383H02J3/386H02J3/00H02J3/008H02J3/28H02J2203/20Y02B10/10Y02E10/56Y02E10/76Y02E70/30Y02A30/60
Inventor 穆云飞张风晓靳小龙贾宏杰余晓丹
Owner TIANJIN UNIV
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