Household electricity programming system and method based on time-of-use price and stepped price forms

Abstract

The invention discloses a household electricity programming system and method based on time-of-use price and stepped price forms. The system is characterized by comprising a user electricity metering module, a wireless data communication and transmission module, a calculation and analysis module, a visual output and feedback module, and an equipment control and execution module. The system and method can fully consider the real electricity requirement and energy saving target of each residential user from the aspects of time-of-use price and stepped price, thereby improving electricity efficiency and maximizing electricity saving effects.

Description

technical field [0001] The field of electricity planning of the present invention is specifically a family electricity planning system and method based on time-of-use electricity price and ladder electricity price. Background technique [0002] Ladder electricity price refers to a form of electricity price that sets the average electricity consumption per household within a certain period of time to several stages or grades for pricing to calculate electricity costs. Since July 2012, our country has fully implemented the ladder electricity price in the field of residential electricity consumption. At the same time, all provinces and cities in China have continuously improved and optimized the ladder electricity price form in the actual application of the ladder electricity price, fully considering the application combination of the ladder electricity price and various forms of dynamic electricity prices. , aiming to guide home users to improve electricity consumption habits ...

AI Technical Summary

Problems solved by technology

On the one hand, due to the fact that residential users often do not understand the electricity price structure and the electricity price mechanism, the existing systems and methods are difficult to solve the problem that residential users respond to complex electricity price forms in a timely manner, resulting in demand response that cannot achieve the desired effect and is difficult to achieve Power saving goals and maximization of power efficiency

On the other hand, the existing systems and methods do not consider the electricity consumption plan under the combination of the current tiered electricity price, peak-valley time-of-use electricity price, and seasonal time-of-use electricity price. The adjustment effect of electricity price and seasonal time-of-use electricity price on household electricity consumption does not consider the long-term comprehensive electricity consumption planning of users, resulting in the possibility of long-term implementation of electricity consumption planning and the reduction of user satisfaction

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