Transformer area flexible scheduling method and device based on flexible load dynamic characteristics

A technology with dynamic characteristics and flexible load, applied in combustion engines, climate sustainability, internal combustion piston engines, etc., it can solve the problems of lack of user-side interaction and insufficient consideration of user-side electricity demand, and achieve the utilization of charging resources. The effect of maximizing the rate and improving the satisfaction of electricity consumption

Active Publication Date: 2020-02-21
NARI NANJING CONTROL SYST +5
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This traditional scheduling method lacks the interaction with the wishes of the user side, and does not fully consider the power demand of the user side
And its constraints are often hard constraints. Under such constraints, it is often difficult to solve the problems caused by some sudden electricity demand or other unexpected situations in special scenarios.

Method used

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  • Transformer area flexible scheduling method and device based on flexible load dynamic characteristics
  • Transformer area flexible scheduling method and device based on flexible load dynamic characteristics
  • Transformer area flexible scheduling method and device based on flexible load dynamic characteristics

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Embodiment

[0115] The present invention will be further described below in conjunction with the accompanying drawings.

[0116] Such as figure 1 As shown in the figure, a method and device for flexible dispatching of stations based on the dynamic characteristics of flexible loads, including electric vehicle demand forecasting, air conditioner maximum reduction forecast, particle swarm multi-objective optimization algorithm, and the basic method and principle of special scene processing are introduced, and Accordingly, the detailed steps of the method of the present invention are given.

[0117] data preparation:

[0118] (1) Electric Vehicle Demand Forecast

[0119] Using the Monte Carlo method to predict the demand for electric vehicles, first simulate 100 electric vehicles with a battery capacity of 40kW h, and the parameters of the probability density function are: μ t =1140, δ t =120. Thus, the number of charging times and the charging start time of each electric vehicle can be ...

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Abstract

The invention discloses a transformer area flexible scheduling method and device based on flexible load dynamic characteristics. The method comprises the following steps: establishing a multi-objective optimization model; solving the multi-objective optimization model by adopting a multi-objective particle swarm optimization algorithm to obtain an optimal solution set; and carrying out peak load shifting scheduling on the load according to the schedulable resources of electric vehicles in the optimal solution set and the maximum reducible quantity of air conditioners. The transformer area flexible scheduling method and device based on the flexible load dynamic characteristics have the advantages that peak clipping and valley filling are achieved, the power utilization satisfaction degree of users is improved, and the charging resource utilization rate is maximized.

Description

technical field [0001] The invention relates to a flexible scheduling method and device based on the dynamic characteristics of flexible loads, and belongs to the technical field of optimal scheduling of power grid resources. Background technique [0002] At present, with the continuous development of my country's economy and society, electricity is an important energy supply mode, and the pattern of production and utilization is undergoing fundamental changes. The rapid growth of peak load leads to the widening of the peak-to-valley difference year by year, the operating characteristics of the power grid will become more complex, and the management model needs to be changed accordingly. [0003] In recent years, flexible loads represented by electric vehicles and smart air conditioners have gradually come into people's field of vision. The participation of flexible loads in the dispatching and adjustment of power grids has become one of the important means to alleviate the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/14
CPCH02J3/14Y02T10/40Y02T90/167Y04S30/12Y04S20/222Y02B70/3225
Inventor 牛荣义陈良亮成海生张卫国杨凤坤李源高逸云沈宏伟郑红娟周静宋杰李化周材汤延祺邵军军
Owner NARI NANJING CONTROL SYST
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