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Tidal scheduling method and system for power dispatching

A power dispatching and tidal technology, applied in neural learning methods, biological neural network models, predictions, etc., can solve the problems of unreasonable tidal scheduling, manpower waste, and manpower overwork, etc. Execution, the effect of improving scheduling work efficiency

Pending Publication Date: 2022-03-22
BEIHAI POWER SUPPLY BUREAU OF GUANGXI GRID +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a tidal scheduling method and system for electric power dispatching, which can solve the problem of unreasonable tidal scheduling for electric power dispatching in the prior art, which easily causes manpower overwork or waste of manpower

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  • Tidal scheduling method and system for power dispatching
  • Tidal scheduling method and system for power dispatching
  • Tidal scheduling method and system for power dispatching

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Embodiment Construction

[0044] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0045] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, a...

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Abstract

The invention discloses a power dispatching tidal scheduling method and system, and the method comprises the steps: building a prediction model based on a long-short term memory recurrent neural network, and predicting the number of power dispatching fault work orders; the method comprises the following steps: performing work order type division on planned work tasks of power dispatching, and setting a corresponding complex coefficient for each planned work order type; obtaining an operation intensity score of each fault work order type in combination with the predicted number of the power dispatching fault work orders and the complex coefficients of the corresponding planned work order types; according to the result of the operation intensity score, performing interval division according to the score, wherein each interval corresponds to one working intensity category; and generating a corresponding power dispatching tide scheduling arrangement according to the working intensity category. The scheduling work order and the fault workload are comprehensively considered, the scheduling work intensity is scientifically calculated according to the given rule, scheduling on-duty arrangement is reasonably guided, the scheduling on-duty execution force is guaranteed, and the scheduling work efficiency under the abnormal working condition is improved.

Description

technical field [0001] The invention relates to the technical field of automatic scheduling, in particular to a tidal scheduling method and system for electric power dispatching. Background technique [0002] The existing tidal scheduling method for electric power dispatching only exists the traditional manual schedule scheduling, that is, the simple staffing is carried out according to the relevant documents of human resources and the nature of the job, and the number of people on duty is fixed. This traditional scheduling method cannot be flexibly arranged according to the actual tidal conditions. When the workload is heavy, the fixed staffing will lead to a decrease in work efficiency and a sudden increase in work intensity, which will easily lead to long troubleshooting times and overworked dispatchers. It will lead to reduced reliability and risk of misoperation; and when the workload is small, it will cause a waste of human resources. Contents of the invention [00...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06K9/62G06N3/04G06N3/08G06Q10/04
CPCG06Q10/06311G06Q10/04G06Q50/06G06N3/08G06N3/044G06F18/24
Inventor 戚焕兴廖云罗添允张仙仙黄莹璇蔡宛达杨加意潘连荣袁亚湘
Owner BEIHAI POWER SUPPLY BUREAU OF GUANGXI GRID