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Low-voltage power distribution network real-time voltage control method based on user side flexible resources

A low-voltage distribution network, real-time voltage technology, applied in the direction of AC network voltage adjustment, photovoltaic power generation, energy storage, etc., can solve problems such as overvoltage, fluctuating voltage, and intensified fluctuations

Active Publication Date: 2021-04-16
HANGZHOU DIANZI UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a low-voltage distribution network based on flexible resources on the user side that solves the problems of aggravated voltage fluctuations and overvoltages caused by reverse currents due to the intermittent and volatile characteristics of photovoltaic power generation output. Real-time voltage control method

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  • Low-voltage power distribution network real-time voltage control method based on user side flexible resources
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  • Low-voltage power distribution network real-time voltage control method based on user side flexible resources

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Embodiment Construction

[0024] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] see figure 1 , a real-time voltage control method for a low-voltage distribution network based on user-side flexible resources, comprising the following steps:

[0026] S10, establishing a voltage demand response model of flexible resources on the user side;

[0027] S20, distributed real-time voltage control of user-side edge nodes;

[0028] S30, edge node voltage control rule optimization based on reinforcement learning.

[0029] For the voltage demand response model of flexible resources on the user side, see figure 2 , the cloud platform 10 and the edge node 20 carry out data upload and rule distribution. The edge node 20 includes the core of the edge node 20, device access SDK, data conversion, data and command preprocessing and connection management. The edge node 20 and the flexible Data communication and control signal t...

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Abstract

The invention discloses a low-voltage power distribution network real-time voltage control method based on user side flexible resources. The method comprises the following steps: S10, establishing a voltage demand response model of the user side flexible resources; S20, carrying out user side edge node distributed real-time voltage control; and S30, optimizing an edge node voltage control rule based on reinforcement learning. According to the edge node distributed real-time voltage control method based on the artificial intelligence technology, the problems that voltage fluctuation is aggravated and overvoltage is caused by inverse power flow due to the fact that photovoltaic power generation output has the characteristics of intermittency and volatility are solved.

Description

technical field [0001] The invention belongs to the field of power grid voltage control, and in particular relates to a real-time voltage control method of a low-voltage distribution network based on user-side flexible resources. Background technique [0002] In recent years, my country has developed distributed rooftop photovoltaics in an all-round way to promote the large-scale application of electric vehicles. Due to the intermittent and volatile characteristics of photovoltaic power generation, the connection of large-scale photovoltaic power generation to low voltage will cause many risks to the distribution network, such as increased voltage fluctuations and overvoltage caused by reverse currents. Moreover, the current random and decentralized electric vehicle charging load will become a new type of load. Charging a large number of electric vehicles during low electricity price periods will cause undervoltage problems, which will also pose a threat to the safe and stab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/12H02J3/16H02J3/32
CPCY02E70/30
Inventor 黄旭谢强强虞霖云张海波华咏竹
Owner HANGZHOU DIANZI UNIV
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