Power distribution network voltage and power flow border crossing risk assessment method, system and equipment

A technology for risk assessment and distribution network, applied in the direction of neural learning methods, information technology support systems, biological neural network models, etc., can solve problems such as scenarios that cannot be applied to large-scale access to distributed new energy

A technology for risk assessment and distribution network, applied in the direction of neural learning methods, information technology support systems, biological neural network models, etc., can solve problems such as scenarios that cannot be applied to large-scale access to distributed new energy

CN114595891APending Publication Date: 2022-06-07CHINA ELECTRIC POWER RES INST +4
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  • Power distribution network voltage and power flow border crossing risk assessment method, system and equipment
  • Power distribution network voltage and power flow border crossing risk assessment method, system and equipment
  • Power distribution network voltage and power flow border crossing risk assessment method, system and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] A risk assessment method for distribution network voltage and power flow out-of-bounds, such as figure 1 shown, including:

[0063] Step 1: Obtain wind speed, light intensity and load demand;

[0064] Step 2: Obtain the minimum value of the objective function according to the wind speed, light intensity and load demand combined with a pre-built risk assessment model;

[0065] Step 3: The risk comprehensive evaluation index value is obtained from the wind speed, light intensity and load demand corresponding to the minimum value of the objective function combined with the pre-built probability density function, and the risk of the distribution network is carried out based on the comprehensive risk evaluation index value. Evaluate;

[0066] Wherein, the probability density function is obtained by applying Gaussian distribution to the deviation of historical data and predicted data of wind speed, light intensity and load demand;

[0067] The risk model is constructed wit...

Embodiment 2

[0144] In order to illustrate the technical solution of the present invention more clearly, the technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings:

[0145] The present invention proposes a method for assessing the risk of out-of-bounds voltage and power flow in a distribution network, the method comprising the following steps:

[0146] S1 as figure 1 As shown, first obtain grid structure data, new energy output historical data and load demand data of the power grid;

[0147] S2 uses long short-term memory artificial neural network and Gaussian distribution to build a stochastic model of wind, light and load output;

[0148] The photovoltaic output is related to the light intensity, and the wind power output is related to the wind speed. The relationship between them can be expressed by the following formula:

[0149] P PV =Aηp(1)

[0150]

[0151] In the formula, P PV , P WT are the active po...

Embodiment 3

[0200] The present invention based on the same inventive concept also provides a distribution network voltage and power flow cross-border risk assessment system, including:

[0201] The acquisition module is used to acquire wind speed, light intensity and load demand;

[0202] a target calculation module for obtaining the minimum value of the target function according to the wind speed, light intensity and load demand combined with a pre-built risk assessment model;

[0203]The evaluation module is used to obtain a comprehensive risk evaluation index value from the wind speed, light intensity and load demand corresponding to the minimum value of the objective function combined with a pre-built probability density function, and based on the comprehensive risk evaluation index value, the distribution network is evaluated. risk assessment;

[0204] Wherein, the probability density function is obtained by applying Gaussian distribution to the deviation of historical data and pred...

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Abstract

The invention discloses a power distribution network voltage and power flow border crossing risk assessment method, system and device. The method comprises the steps of obtaining wind speed, illumination intensity and load requirements; obtaining a minimum value of an objective function according to the wind speed, the illumination intensity and the load demand in combination with a pre-constructed risk assessment model; and obtaining a risk comprehensive evaluation index value by combining the wind speed, the illumination intensity and the load demand corresponding to the minimum value of the target function with a pre-constructed probability density function, and evaluating the power distribution network risk based on the risk comprehensive evaluation index value. Wherein the probability density function is obtained by adopting Gaussian distribution fitting on deviation of historical data and prediction data of the wind speed, the illumination intensity and the load demand; the risk model is constructed by taking the minimum sum of the load loss risk, the distributed new energy consumption capability, the operation cost, the transformer loss and the carbon emission as a target and constraint conditions set for the target. The risk comprehensive evaluation index value obtained based on the probability density function is suitable for a distributed new energy large-scale access scene.

Description

technical field [0001] The invention relates to the field of power grid optimization and scheduling, in particular to a method, system and equipment for assessing the cross-border risk of voltage and power flow of a distribution network. Background technique [0002] With the development of new energy power generation technology, the penetration rate of distributed new energy in the power grid has gradually increased, and new energy can achieve clean power generation, which can bring great environmental benefits to the operation of the power grid. However, most of the output of new energy has strong intermittency and uncertainty, such as distributed photovoltaic and distributed wind power, its output is closely related to geographical location and weather conditions, and has strong uncertainty. Factors will bring certain threats to the safe and stable operation of the power grid. The traditional power grid reliability analysis methods that do not take into account the uncer...

Claims

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Application Information

Patent Timeline
07 Jun 2022
Publication
CN114595891A
IPC
G06Q10/04; G06Q10/06; G06Q50/06; G06N3/04; G06N3/08
CPC
G06Q10/04; G06Q10/06393; G06Q50/06; G06N3/08; G06N3/044; Y04S10/50
Inventors
董昱; 丁杰