Method for evenly distributing workloads in power distribution networks on basis of improved BP neural network

A BP neural network and BP neural technology, applied in the field of distribution network, can solve problems such as inability to form rational utilization of resources, mismatch of capabilities, and low efficiency of dispatching orders.

Active Publication Date: 2018-07-27
南京海兴电网技术有限公司 +2
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Problems solved by technology

However, the existing order dispatching for faults only considers the nearest arrangement, but does not consider the strength of the station. When the station is unable to receive orders, the efficiency of dispatching...

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  • Method for evenly distributing workloads in power distribution networks on basis of improved BP neural network
  • Method for evenly distributing workloads in power distribution networks on basis of improved BP neural network
  • Method for evenly distributing workloads in power distribution networks on basis of improved BP neural network

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Embodiment Construction

[0080] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0081] A BP neural network algorithm based on genetic algorithm optimization proposed by the present invention is suitable for dispatching orders for power outage events in a power distribution environment. The algorithm constructs the basic model through BP neural network, obtains the optimal initial weight and threshold of BP neural network through genetic algorithm, and finally obtains the optimal solution by gradient descent method.

[0082] The workload balance dispatching method in the distribution network based on the improved BP neural network of the present invention firstly quantifies the required workload of the power outage event and the personnel supply workload, and defines the initial value of the BP neural network model, and then uses the genetic algorithm Optimize to obtain the optimal initial value of the weight and thresho...

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Abstract

The invention discloses a method for evenly distributing workloads in power distribution networks on the basis of an improved BP neural network. The method comprises the following steps of: determining a BP neural network structure; optimizing an initial weight value and a threshold value of the BP neural network by adoption of a genetic algorithm; training the BP neural network; carrying out permutation and combination on personnel through a queue form; and predicting the BP neural network. According to the method, intelligent distribution is carried out on power failure events by utilizing amodel, and even arrangement for workloads of team personnel is realized. The method is capable of effectively the power failure event distribution efficiency and greatly realizing the reasonable using of resources such as team personnel and vehicles.

Description

technical field [0001] The invention relates to distribution network technology, in particular to a method for dispatching orders in distribution network based on improved BP neural network. Background technique [0002] Most of the existing emergency repair mechanisms of the power grid are aimed at fault power outages, including fault location and fault repair information interaction. Most of the existing research on planned blackouts is aimed at planning, focusing on reducing the scope of influence of the plan, reducing the number of times of the plan, and how to ensure the reliability of power supply. The processing of the work order includes dispatching the work order to the nearest station of the fault point. The station can choose whether to accept the order according to its own strength. If the mobile station cannot accept the order, it will forward the work order to another mobile station. station. In addition, the work order adopts a mechanism of order grabbing. T...

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Application Information

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IPC IPC(8): G06Q50/06G06Q10/06G06N3/08G01R31/08
CPCG06N3/084G06N3/086G06Q10/0631G06Q50/06G01R31/086
Inventor 殷圣楠丁杰龚亚莉吕占鹏徐永昌宣筱青王祥浩陶永晶曾俊张志华
Owner 南京海兴电网技术有限公司
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