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Virtual power plant power supply side and demand side optimized scheduling modeling method based on multi-agent technology

A virtual power plant and optimal scheduling technology, applied in information technology support systems, data processing applications, instruments, etc., can solve the lack of research on the classification of rechargeable and dischargeable electric vehicles, the lack of separate contracts, and the combination of flexible loads and electric vehicles. Optimize scheduling and other issues

Active Publication Date: 2019-08-30
CHINA THREE GORGES UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0010] (1): The participation of electric vehicles in dispatching is not considered, especially the lack of research on the participation of electric vehicles that can be charged and discharged in demand response
[0011] (2): Insufficient research on different classifications of rechargeable electric vehicles
[0012] (3): The joint optimal dispatch of different power sources on the power supply side and flexible loads on the demand side and electric vehicles based on multi-agent mode is not considered. For virtual power plants, the communication method should be an integral part of it
[0013] (4): Not targeting flexible load users: including interruptible load users and electric vehicle users, without signing contracts separately

Method used

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  • Virtual power plant power supply side and demand side optimized scheduling modeling method based on multi-agent technology
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  • Virtual power plant power supply side and demand side optimized scheduling modeling method based on multi-agent technology

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Embodiment

[0155] Step 1: According to the user's participation in the grid dispatching contract, for the convenience of case analysis and according to the rules of electric vehicle users, the electric vehicle dispatching needs to meet the following requirements: the user connects to the power supply before 6:00 p.m. and cuts off the power supply after 6:00 a.m. During this period, the car owner agrees that the battery of the electric vehicle participates in peak-shaving dispatch. Assume that the number of electric vehicles that can be charged and discharged in a certain area is 2000. Since some electric vehicles do not need to be charged every day, the number of vehicles that participate in dispatching every day should be a random number between 0 and 2000. Due to the strong uncertainty of the flexible load response based on the incentive strategy, the maximum flexible load setting is 30MW, and the participating scheduling time does not exceed 12 hours.

[0156] Step 2: Set the power ca...

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Abstract

The invention discloses a virtual power plant power supply side and demand side optimized scheduling modeling method based on a multi-agent technology. The virtual power plant power supply side and demand side optimized scheduling modeling method comprises the steps: establishing a virtual power plant optimized scheduling model adopting a multi-agent MAS control mode, wherein the virtual power plant optimized scheduling model comprises a power supply side Agent, a demand side Agent and a power grid Agent, and the power supply side Agent comprises wind power, photovoltaic power and thermal power, and the demand side Agent comprises a flexible load and a rechargeable and dischargeable electric vehicle; establishing an objective function of the virtual power plant; establishing constraint conditions for operation of the virtual power plant; and establishing a storage battery model and a rechargeable and dischargeable electric vehicle model. The scheduling model established by the modelingmethod consists of two parts, namely a load side containing an electric vehicle and a flexible load and a power supply side containing a plurality of power supply types; by considering the demand response method, by optimizing the output of each unit at the power generation side, the flexible load at the load side is controlled and the charging and the discharging of the electric vehicle are coordinated, so that the new energy power generation consumption capability of the virtual power plant is improved, and the virtual power plant income is increased.

Description

technical field [0001] The invention belongs to the technical field of optimal scheduling of a virtual power plant of a smart grid, and in particular relates to a modeling method for optimal scheduling of a virtual power plant based on multi-agent technology. Background technique [0002] At present, most of the grid-connected forms of distributed power are in the form of micro-grids. The main goal of micro-grids is to consume distributed energy on the spot for users, which is limited by geographical factors. In the case of cross-regional and large-scale distributed power There are certain limitations in terms of full utilization and scale benefits in the electricity market. The virtual power plant technology can realize the optimal dispatch of distributed power sources in multiple regions and on a large scale, break through the above-mentioned limitations of the micro-grid, and effectively integrate a large number of distributed power sources and flexible loads. Therefore,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06315G06Q50/06Y04S10/50
Inventor 王凌云孙佳星张涛
Owner CHINA THREE GORGES UNIV
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