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Energy optimal scheduling method and system for new energy system based on multi-agent union

A scheduling method and energy optimization technology, applied in resources, data processing applications, instruments, etc., can solve problems such as complex optimal scheduling, and achieve the goal of ensuring energy balance, improving power supply and power quality, and promoting local consumption Effect

Active Publication Date: 2022-07-15
SHANDONG UNIV
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  • Application Information

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Problems solved by technology

[0008] In order to solve the above-mentioned complex optimal scheduling problem of multi-agent joint, the present invention proposes a new energy system energy optimal scheduling method and system based on multi-agent joint, and designs an effective energy consumption strategy in the area to meet the power consumption of users in the area Demand, improve overall energy utilization efficiency, increase the proportion of new energy, ensure energy balance at each time period, and realize energy distribution. While meeting the demand for electricity load on the user side, ensure the stability of the energy supply side

Method used

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  • Energy optimal scheduling method and system for new energy system based on multi-agent union
  • Energy optimal scheduling method and system for new energy system based on multi-agent union
  • Energy optimal scheduling method and system for new energy system based on multi-agent union

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Embodiment 1

[0055] This embodiment proposes a new energy system energy optimization scheduling method based on multi-agent union, such as figure 1 shown, including the following process:

[0056] S1: Obtain various historical data and perform data preprocessing.

[0057] In this embodiment, data standardization is performed on the acquired historical power supply of the distributed energy station, the historical period power purchase price coefficient and historical period power sales price coefficient of the dispatch management system, and the user's proportion of new energy consumption, that is, Conventional Min-max normalization methods are employed to enable metrics of different units or magnitudes to be compared and weighted.

[0058] S2: Establish a multi-agent energy dispatch model.

[0059] The multi-agent energy scheduling model constructed in this embodiment includes a user power consumption model, a distributed energy station energy supply model, and a dispatch management sys...

Embodiment 2

[0126] This embodiment provides a new energy system energy optimization dispatching system based on multi-agent union, including:

[0127] The model building module is configured to build a multi-agent energy dispatch model, the multi-agent energy dispatch model includes a user power consumption model, a distributed energy station energy supply model and a dispatch management system model; the user power consumption model is designed to maximize new The proportion of energy consumption and the minimization of energy expenditure are the objective functions, and are constructed with the range of electricity demand as constraints; the distributed energy station energy supply model takes maximizing capacity utilization as the objective function, and uses the power supply Constraints and output balance constraints are constructed as constraints; the dispatch management system model takes optimal energy supply and demand matching and minimizing loss costs as objective functions, and ...

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Abstract

The invention discloses a new energy system energy optimization scheduling method and system based on multi-agent combination, and relates to the technical field of energy optimization and data processing methods. Model, distributed energy station energy supply model and dispatching management system model; according to the obtained historical production capacity data of distributed energy stations, the historical power purchase price coefficient and historical power selling price coefficient of the dispatching management system, and the user's new energy consumption The proportion of electricity is calculated by using the reverse induction method to solve the multi-agent energy scheduling model, and the overall optimal electricity consumption strategy of the system is obtained. The tripartite model is used to optimize the entire energy dispatch strategy, optimize the new energy production and consumption of the entire new energy system, improve the utilization rate of new energy, and provide electricity and power supply quality. The distributed algorithm is used to protect the security of individual privacy information while facilitating higher computing efficiency.

Description

technical field [0001] The invention relates to the technical field of energy optimization and data processing methods, in particular to a new energy system energy optimization scheduling method and system based on multi-agent union. Background technique [0002] At present, large-scale wind-solar and other new energy sources are connected to the power grid, and the number of new energy users is gradually increasing. Therefore, the overall operation planning of power grids connected to wind-solar and other new energy sources has at least the following problems: [0003] First, due to the distributed, random and fluctuating power generation characteristics of the power supply side of the power grid, the independent access of a large number of energy supply individuals to the power grid will have a great impact on the operation planning of the power grid; [0004] Second, due to the small capacity and large number of users, the power load on the energy supply side and the user...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/067G06Q50/06
Inventor 刘帅刘龙成孙波王瑞琪王小文叶梦婷邢兰涛
Owner SHANDONG UNIV
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