Time-of-use electricity price household device optimized running method based on load classification

Abstract

The invention discloses a classification and optimized running method based on household loads. The method includes the following steps of firstly, establishing mathematic models of four types of frequently-seen characteristics of household devices so as to represent the electricity utilization characteristics of the household devices; secondly, establishing mathematic models of the corresponding household devices by making a user select one or more types of load characteristics according to different electricity utilization characteristics of all the household devices; thirdly, setting optimized running basic parameters of all the household appliances by the user; fourthly, obtaining time-of-use electricity price information distributed by an electric energy supplier; fifthly, establishing optimized running models of the household devices under the environment of the time-of-use electricity price according to the numbers of all types of household loads and the requirement for the user comfort degree, and optimizing the start and stop time of each household device. The classification description of the household load characteristics basically covers frequently-seen household loads, and residential electricity consumption can be accurately described; meanwhile, ordinary residents can be assisted in reducing electricity utilization cost under the environment of the time-of-use electricity price, and implementation of the national energy conservation and emission reduction policy is promoted.

Description

technical field [0001] The invention belongs to the field of intelligent electricity utilization, and in particular relates to the characteristic description and modeling of household equipment loads and an optimal operation method of household equipment under the environment of time-of-use electricity price. Background technique [0002] With the improvement of economic level, residents' electricity consumption occupies a large proportion of the whole society's electricity consumption, and there is a gradual upward trend. Realize household intelligent electricity consumption, enhance residents' awareness of saving electricity, and guide residents to save and rationally use electricity , necessary and urgent. [0003] However, there are many problems in residential electricity consumption at this stage. There are a variety of devices on the user side with controllable potential, and their operating characteristics are different. In order to reasonably control household equi...

AI Technical Summary

Problems solved by technology

There are a variety of devices on the user side with controllable potential, and their operating characteristics are different. In order to reasonably control household equipment, it is first necessary to study the operating characteristics of household equipment and classify and describe their controllability. However, there is currently a lack of a comprehensive Method for describing the operating characteristics of household equipment

In addition, in many countries, power suppliers have adopted the policy of transitioning from unified electricity price to time-of-use price (Time-of-UsePrice) to reduce power demand during peak hours and improve system stability. However, under the environment of time-of-use price The optimal operation of many equipment has the problem of too many decision variables and difficult manual solution, which restricts the implementation effect of time-of-use electricity price

At the same time, with the gradual deepening of research on distributed power generation systems, energy storage systems, and controllable equipment, users have the ability to influence or participate in the operation of the power system, but how to coordinate and optimize these equipment with common household equipment remains to be studied

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