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Self-recovery control method of intelligent distribution network

A smart distribution network and recovery control technology, applied in the direction of electrical components, circuit devices, electrical digital data processing, etc., can solve the problems of large influence on the initial state, weak algorithm stability, and low calculation efficiency

Active Publication Date: 2014-12-17
HOHAI UNIV CHANGZHOU
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Problems solved by technology

However, the heuristic search method and artificial intelligence method are greatly affected by the initial state of the system, the stability of the algorithm is not strong, and the calculation efficiency is not high

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  • Self-recovery control method of intelligent distribution network

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Embodiment Construction

[0033] In order to make the technical solutions, technical features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments and accompanying drawings.

[0034] The invention proposes a new reconstruction method to solve the problems of algorithm stability and rapidity. Its main idea is as follows: the structure of the power distribution network is characterized by radial power supply, which is usually designed with N feeders and N tie switches. It is proposed that when the total number of open switches is equal to the number of tie switches, and the system has no islands, then the result of reconstruction can be guaranteed to be an effective solution without closed loops. In this way, in the process of searching for the reconstruction scheme, the optimized combination search of the improved exhaustive method is implemented to eliminate closed loops, isolated islands ...

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Abstract

The invention discloses a self-recovery control method of an intelligent distribution network, and belongs to the field of power system control. The method is characterized in that the minimum network loss is used as the optimizing target for reconstruction, the distribution network power flow is calculated by the node-layered forward-backward sweep method according to the radial structure characteristics of the distribution network; the novel solving methods are carried out for possible closed loop condition in reconstruction, in order to avoid non-feasible solution and lower down the calculating dimension in the mathematical optimization algorithm; when the number of the total turned-on switches in the radial distribution network is equal to the number of the interconnection switches and the no island appears in the system, that the reconstruction result is a network without closed loop can be ensured; the island can be determined by the power flow calculation without additional programming; the method is simple and efficient; the operating dimension is lowered down; the programming is easily carried out; the method is applicable to real-time self-recovery control of the distribution network.

Description

technical field [0001] The patent of the invention relates to a self-healing recovery control method of an intelligent distribution network, in particular to a method for reconfiguring a power grid after a fault occurs in an intelligent distribution network, and belongs to the technical field of electric power system control. Background technique [0002] The smart distribution network is an important part of the smart grid. Its main feature is that it has a complete self-healing function, which can minimize the impact of grid failures on users. The distribution network is usually a closed-loop design and an open-loop radial operation. When a fault occurs in the distribution network, by changing the state of the section switch and the tie switch, the power supply network is reconstructed and the load power supply is restored. In the process of self-healing recovery and reconstruction after a fault, it is necessary to comprehensively consider reducing system network loss, im...

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Application Information

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IPC IPC(8): H02H7/26H02H3/06G06F19/00
Inventor 邓立华费峻涛班崔仁蔡昌春张秀平
Owner HOHAI UNIV CHANGZHOU
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