Electricity selling deviation management system and method

Abstract

According to the electricity selling deviation management system and the method thereof, the dynamic deviation rate threshold is adopted to adjust the electricity selling deviation, the problem of unsuccessful transfer in the prior art can be avoided, the system and the method can be used as an effective replacement mode for load prediction to adjust electricity utilization, the adjustment difficulty is reduced, and the efficiency is improved. The method is also suitable for users who use electricity irregularly, so that the management range of electricity selling deviation is expanded; and in combination with the existing load prediction means, the accuracy of deviation control is improved.

Description

technical field [0001] The present invention relates to the field of electric power technology, and more specifically, to a system and method for managing deviations in electricity sales. Background technique [0002] With the continuous deepening of my country's power reform, a large number of electricity sales companies have sprung up. In order to obtain good returns, the trading rules must be clarified. For electricity sales companies and power users, "deviation assessment" is no stranger to existence. Accurately grasping the deviation assessment is not only the basis for the survival of power sales companies, but also a guarantee for power users to enjoy the dividends of the national power system reform. How to avoid the assessment costs caused by the deviation of electricity sales has become one of the important tasks of electricity sales companies. [0003] The commonly used deviation control methods for electricity sales companies include: user cultivation method, ...

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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