Household energy optimization scheduling management system and method

Abstract

The invention discloses a household energy optimization scheduling management system and method. The system includes a data collection module, a data pre-processing module and an energy management module, wherein the data collection module is used for collecting power generation / power consumption data and environment data of a user, the data pre-processing module is used for detecting and correcting the data and performing power generation prediction of a photovoltaic system to obtain real-time state information data, and the energy management module is used for performing calculation in combination with the power consumption data of the user and the real-time state information data and performing power scheduling control of electrical appliances of the user based on the calculation result. The system is advantaged in that considering peak load control of the user, for scheduling management, the load is optimally scheduled based on the user's power consumption demand, the impact of improper use of electricity on the grid by the user is reduced, power consumption cost is reduced, negative impact on the user's electrical comfort is avoided, and user's economic efficiency and enthusiasm for participating in demand response are effectively improved.

Description

technical field [0001] The invention relates to the technical field of renewable energy power generation and demand response, is an extension of a smart grid on the residential side, and specifically relates to an energy optimization scheduling management system suitable for smart residential homes. Background technique [0002] With the development of smart home, Internet of Things, renewable energy technology and a series of new energy support policies promulgated by the state, distributed photovoltaic power generation, electric / hybrid vehicles, and smart home appliances are being rapidly promoted in households, bringing considerable benefits on the one hand. Environmental benefits and economic benefits; on the other hand, due to the intermittent output of photovoltaic power generation and the improper use of high-power loads such as electric vehicles, the grid infrastructure, especially the distribution transformer, will be overloaded, which will have a negative impact on ...

AI Technical Summary

Problems solved by technology

[0003] At present, there have been some solutions for the stability of power grid operation, user comfort and electricity economy, but these solutions have failed to consider factors such as photovoltaic power generation forecasting and power state estimation, or have failed to establish The home-side energy optimization model, including power consumption and energy storage, based on this home appliance scheduling control algorithm is inevitably lacking in data accuracy and model universality

Images