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Model predication control based cooling heating and power generation type micro-grid operation method

A technology of model predictive control and cogeneration of cooling, heating and power, applied in the direction of instruments, data processing applications, information technology support systems, etc., can solve problems affecting the optimal operation of microgrids with combined cooling, heating and power, and deviation from dispatching plans

Active Publication Date: 2015-05-13
SOUTHEAST UNIV
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Problems solved by technology

However, due to the fluctuating and intermittent characteristics of renewable power output, and the more random nature of users' electricity consumption behavior, there are often deviations between the predicted and actual values ​​of load and renewable power power, resulting in actual conditions that often deviate from the current situation. Scheduling plans seriously affect the optimal operation of combined cooling, heating and power microgrids

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Embodiment Construction

[0081] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be described in detail below in combination with the accompanying drawings and implementation examples. It should be understood that the specific implementation cases described here are only used to explain the present invention, and are not intended to limit the invention.

[0082] The invention relates to a method for optimizing the operation of a combined cooling, heating and power micro-grid based on model predictive control, which belongs to the field of combined cooling, heating and power supply systems, such as figure 1 Shown is a schematic diagram of the combined cooling, heating and power microgrid structure. The combined cooling, heating and power microgrid includes photovoltaic cells, fans, batteries, micro gas turbines, gas boilers, electric refrigerators, absorption refrigerators, heat exchangers and heat storage tanks. There are co...

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Abstract

The invention discloses a model predication control based cooling heating and power generation type micro-grid operation method. The method comprises the steps of building a predication model to predicate the wind power, photovoltaic power and cooling heating power generation load power data within a control time domain in the future; solving a rolling optimizing model at every moment according to the latest predication result and the real-time operation state of each device; calculating the force output of each device at the following time quantum; re-calculating the rolling optimizing model at the next time according to the latest predication result, monitoring the actual wind power value, photovoltaic value, cooling load value, heating load value and power generation load value on real time; updating the historic data; solving and feeding back to correct the model at every 5 minutes to obtain the adjustment of each device; distributing to each device for adjusting until reaching the next rolling optimizing time. With the adoption of the method, the influence of inaccurate predication on the optimal operation of the system can be removed well, thus the system operation risk is reduced, and the system operation stability is improved; meanwhile, the economy of the operation of a cooling heating and power generation type micro-grid can be increased.

Description

technical field [0001] The invention belongs to the field of combined cooling, heating and power supply systems, and in particular relates to an operation method of a combined cooling, heating and power supply type microgrid based on model predictive control. Background technique [0002] At present, the combination of clean energy represented by natural gas and the use of renewable energy, as well as the use of waste heat and pressure of generators, together constitute a combined cooling, heating and power micro-grid, which has become a clean and new energy industry that is rapidly developing at home and abroad. . The combined cooling, heating and power microgrid system is installed on the user side in various ways such as small-scale, small-capacity, modular and decentralized, and can simultaneously meet the user's demand for cooling energy, heat energy, and electric energy. The energy supply system saves traditional Centralize the initial investment cost of energy delive...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
CPCG06Q50/06Y02E40/70Y04S10/50
Inventor 顾伟王志贺骆钊唐沂媛刘元园
Owner SOUTHEAST UNIV
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