Intelligent control scheduling method for electric load of air conditioner based on big data analysis

Abstract

The invention discloses an intelligent control scheduling method for electric load of an air conditioner based on big data analysis. The method comprises the following steps that by collecting parameters such as habits of a user using the air conditioner, weather information, indoor temperature, air conditioner power, a BP neural network algorithm is used for obtaining an air conditioner power prediction model of different air conditioner individuals, a heat storage coefficient is calculated through temperature changes as well as air conditioner average power after an air conditioner compressor is temporarily stopped, and an indoor temperature change-shutdown time model is obtained through the air conditioner power prediction model and the heat storage coefficient; furthermore, a user desirable temperature-time fitted curve is established according to reaction behaviors of the user, and the intersection point between the fitted curve and the indoor temperature change-shutdown time model is the desirable air conditioner shutdown length of the air conditioner of the user; and finally, a desirable air conditioner load scheduling plan is arranged according to a weather forecast outdoortemperature curve, a grid load prediction curve as well as the most common usage period of the air conditioner of the user. According to the method, the occurrence of peak load of a power grid can beavoided without affecting user experience.

Description

technical field [0001] The invention relates to an intelligent dispatching control method for air-conditioning electric load, in particular to an intelligent control and dispatching method for air-conditioning electric load based on big data analysis. Background technique [0002] Energy security, environmental pollution and climate change are the main problems facing the sustainable development of society. Large-scale development of renewable energy is the most effective way to achieve sustainable development of human beings and fundamentally solve energy problems, but wind power and solar energy are the main Renewable energy is inherently volatile and random, and large-scale renewable energy power generation systems connected to the grid will pose severe challenges to the safe operation of the power grid. In order to solve the problem of renewable energy power generation systems connected to the grid, the United States Developed countries such as Germany, Japan and other dev...

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Problems solved by technology

[0002] Energy security, environmental pollution and climate change are the main problems facing the sustainable development of society. Large-scale development of renewable energy is the most effective way to achieve sustainable development of human beings and fundamentally solve energy problems, but wind power and solar energy are the main Renewable energy is inherently volatile and random, and large-scale renewable energy power generation systems connected to the grid will pose severe challenges to the safe operation of the power grid. In order to solve the problem of renewable energy power generation systems connected to the grid, the United States Developed countries such as Germany, Japan and other developed countries have proposed their own smart grid construction plans, introducing power electronics technology and information technology into the power system to realize the intelligent interaction of source, network and load. Coordinating and interacting with the power grid to improve the balance ability of the power system. At present, my country has entered the construction stage of the power Internet of Things, but the research and application of intelligent interworking between the user side and the power grid has been relatively slow, especially in ordinary civilian and commercial users and There is no technical interaction between grids

[0003] In addition, with the improvement of people's living standards, the proportion of air-conditioning load in residents' electricity consumption is increasing. In 2017, the air-conditioning load in Beijing reached 52% of the total load of the power grid. The air-conditioning load has obvious seasonality, and some The peak load of air conditioners in the area is only 1 to 2 hours, sometimes only tens of minutes, and the peak value is relatively high. The power grid and power supply are built according to the peak load, resulting in a huge idle and waste of equipment. In order to reduce the impact of air conditioner load on the power grid , some researchers have proposed some solutions for grid-friendly air-conditioning controllers, mainly including two ways: the air-conditioner actively responds to the power quality of the grid and the grid centrally regulates the air-conditioning load

[0004] One is based on the grid voltage or frequency, and the air conditioner actively responds to the grid cont

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