An electricity sales deviation management system and method thereof

Abstract

The present invention provides a power sales deviation management system and its method, which uses a dynamic deviation rate threshold to adjust the power sales deviation, which can avoid the existing problem of unsuccessful transfer, and can be used as an effective alternative to load forecasting for power consumption regulation , reducing the adjustment difficulty, the method of this application is also applicable to users with irregular electricity consumption, thus improving the management range of electricity sales deviation; combined with the existing load forecasting means, the accuracy of deviation control is improved.

Description

Technical field [0001] The present invention relates to the field of electricity technology, and more particularly to a sales of electricity deviation management system and a method thereof. Background technique [0002] With the continuous deepening of China's electricity reform, a large number of selling companies appear like a spring bamboo shoot. If you want to achieve good benefits, you must clear the rules of the trading rules. For the sales and electricity users, "deviation appraisal" is no longer unfamiliar. Accurately grasp the deviation appraisal, not only the basis of the survival of the sales company, but also the guarantee of power users to enjoy the national power system reform dividend. How to avoid the assessment costs from selling electricity distribution have become one of the important work of the sales company. [0003] Sales of electricity distribution control methods commonly used by the sales unit include: user cultivation, allocate, proof, predictive law, ...

AI Technical Summary

Problems solved by technology

Although the existing control methods can solve the problem of deviation control to a certain extent, they still face shortcomings. For example, the pass-through method is only used in provinces that have liberalized mutual insurance of electricity, and when a matching electricity sales company cannot be found , the deviation will not be passed on, resulting in losses; in addition, the power load has the characteristics of complexity, dispersion, randomness, etc., changes in the economic environment, changes in enterprise orders, machine operation stability, power grid expansion, Changes, unexpected accidents, etc., all have an impact on electricity consumption. It is not easy to do a good job in load forecasting. For enterprises with irregular electricity consumption, the existing linear regression, gray algorithm, BP neural network model, etc. , which cannot be predicted at all

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