Energy management method based on electric vehicle and energy storage battery cooperative scheduling

Abstract

The invention provides an energy management method based on electric vehicle and energy storage battery cooperative scheduling. The energy management method is based on a household energy management system; the household energy management system comprises an Internet cloud, a household energy management controller, a one-way electric meter, a two-way electric meter, a photovoltaic power generationsystem, an energy storage battery, an electric vehicle, an intelligent socket and a load; the Internet cloud updates electricity prices and weather information in real time, so that the household energy management controller performs information interaction with an upper-layer power grid; the two-way electric meter realizes household and power grid bidirectional transmission metering; the intelligent socket controls the startup and stop of the corresponding load; the household energy management controller calculates an optimal scheduling strategy on the basis of meeting constraint conditionsby collecting day-ahead electricity price of the upper-layer power grid and user load preference information.

Description

technical field [0001] The invention belongs to the technical field of electric vehicles, in particular to an energy management method based on coordinated scheduling of electric vehicles and energy storage batteries. Background technique [0002] In recent years, the global energy crisis has become increasingly prominent, the harm of air pollution and global temperature rise has been increasing, and people's attention to energy and environmental issues has also been increasing. With the rapid increase in the number of distributed photovoltaics and electric vehicles, home energy optimization control has become an important part of smart grid demand-side energy management. With the development of smart grid, power users will participate in the operation and safe power supply of the grid as a dispatchable unit, which puts forward new requirements for the development of smart power consumption. The home energy management system can make decisions on demand response based on th...

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Problems solved by technology

[0003] At present, scholars at home and abroad focus on household load optimization scheduling of household energy management systems mainly from different perspectives such as furniture load classification, optimal scheduling model, and solution algorithm. Considering the connection characteristics of electric vehicles, their charging and discharging characteristics are considered. There are few studies on the coordinated optimization strategy of electric vehicles, energy storage and household loads under the current electricity price, and research work needs to be carried out on the optimal aspect of household economy

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