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Collaborative optimization method and device for electric vehicle containing new energy and building air conditioning system

An air-conditioning system and collaborative optimization technology, applied in the field of multi-energy systems, can solve the problems of complex, uncertain, and uncertain dynamic optimization scheduling problems.

Active Publication Date: 2021-08-31
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The energy consumption on the demand side is also usually characterized by uncertainty. The combination of uncertain system demand and uncertain new energy output has brought new challenges to the safe and economic operation of the energy system.
The demand and supply of modern energy systems usually have the characteristics of time-space coupling. The elasticity of building air-conditioning systems and electric vehicle charging demand brings the possibility of increasing the amount of new energy consumption for system optimization scheduling. However, how to meet user needs and energy It is extremely complex to solve the dynamic optimal scheduling problem of real-time supply and demand matching while ensuring the safe operation of each component of the system

Method used

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  • Collaborative optimization method and device for electric vehicle containing new energy and building air conditioning system
  • Collaborative optimization method and device for electric vehicle containing new energy and building air conditioning system
  • Collaborative optimization method and device for electric vehicle containing new energy and building air conditioning system

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Embodiment 2

[0121] This embodiment provides an operation optimization device for an electric vehicle with new energy and a building air-conditioning system, which is used to implement the above method for optimizing the operation of a building energy system for an electric vehicle with new energy and a building air-conditioning system. The optimization calculation module can be divided into functional modules according to the above method example, for example, each functional module can be divided corresponding to each function, or two functions can be integrated into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. It should be noted that the division of modules in the embodiment of the present invention is schematic, and is only a logical function division, and there may be another division manner in actual implementation.

[0122] In the case of dividing each functional module correspon...

Embodiment 3

[0131] refer to Figure 7 As shown, an optimized calculation module includes: a processor 121, a memory 122 and a bus 123; the memory 122 is used to store computer-executed instructions, and the processor 121 and the memory 122 are connected through the bus 123, when electric vehicles and buildings containing new energy When the operation optimization device 12 of the air conditioning system is running, the processor 121 executes the computer-executed instructions stored in the memory 122 to execute S3 in the above-mentioned operation optimization method for electric vehicles with new energy and building air conditioning systems. The bus 123 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus or the like. The bus 123 can be divided into an address bus, a data bus, a control bus, and the like. For convenience, Figure 7 Indicated by only one line, but does not mean that there is only one bus or one type of bus.

[013...

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Abstract

The invention discloses a collaborative optimization method and device for an electric vehicle containing new energy and a building air conditioning system. The method employs an electric vehicle and a building room as energy conversion carriers, can improve the absorption capability of the system for the new energy, and reduces operation cost of the system. The system can select to charge the electric automobile or pre-refrigerate or pre-heat a building room without a thermal comfort degree requirement when the photovoltaic power generation power is relatively high, and the electric automobile discharges the system when the photovoltaic power generation power is relatively low; due to existence of the time-of-use electricity price, the electricity utilization peak of the system can be transferred to the valley time electricity price period by minimizing the operation cost; according to the method, a model prediction control method is adopted to solve the problem of randomness, and the future information can be predicted in real time according to current information under the condition that the weather state and the travel state of the electric vehicle have randomness, so the influence of randomness on the system is reduced.

Description

technical field [0001] The invention belongs to the technical field of multi-energy systems, and in particular relates to a method and device for synergistic optimization of building energy systems including electric vehicles with new energy and building air-conditioning systems. Background technique [0002] In recent years, the energy crisis and environmental pollution problems in modern society have intensified and deteriorated. Human beings urgently need to find clean new energy to replace fossil energy and reduce dependence on fossil energy. Wind energy, water energy and solar energy are currently the most mature clean energy sources that have been put into use on a large scale. From the application of wind power and photovoltaic power generation and the preliminary research of the research group, it can be found that new energy sources such as wind power and photovoltaic power generation are greatly affected by the weather and have great uncertainty. Therefore, unders...

Claims

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Application Information

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IPC IPC(8): G05B13/04B60L53/60F24F11/63F24F11/46
CPCG05B13/042B60L53/60F24F11/63F24F11/46Y02T10/70Y02T10/7072Y02T90/12
Inventor 徐占伯赵浩铭吴江管晓宏刘凤霞
Owner XI AN JIAOTONG UNIV
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