Household distributed energy scheduling method based on storage battery energy storage system

Abstract

The invention discloses a household distributed energy scheduling method based on a storage battery energy storage system. The method comprises steps of calculating the power generation power of photovoltaic power generation equipment, determining the working power of the storage battery energy storage equipment, and determining the actual load demand electric quantity; dividing a high-electricity-price time period and a low-electricity-price time period by taking an average electricity price as a reference so as to schedule the storage battery according to a low-price energy storage and high-price energy discharge principle; and solving an optimal charging and discharging state of the storage battery based on the optimal scheduling model of the energy storage equipment by adopting an inertia weight linear decreasing particle swarm optimization algorithm. The household distributed energy scheduling method based on the storage battery energy storage system is advantaged in that a problem of unstable photovoltaic power generation is solved, by considering an energy storage system and implementing different storage battery charging and discharging strategies according to high and lowelectricity prices, distributed coordinated electricity utilization is carried out, electricity utilization scheduling can be carried out under the condition that the service time of electric appliances is not changed, meanwhile, the photovoltaic power generation utilization rate can be increased, and electricity utilization cost can be reduced.

Description

technical field [0001] The invention relates to the technical field of distributed coordinated power consumption, in particular to a home distributed energy scheduling method based on a storage battery energy storage system. Background technique [0002] While rapid urbanization and human industrialization have brought enormous pressure on the environment, the problem of energy shortage is also increasing. The use of solar energy instead of fossil energy for power generation and the adoption of intelligent power consumption systems are effective ways to protect the environment, save energy and reduce emissions. These efforts have been applied to buildings, especially to improve the environment by reducing energy consumption and applying renewable energy. According to the survey, household electricity consumption accounts for 41% of the total electricity consumption, and the improvement of household energy application efficiency contributes one-fifth of the carbon emission r...

AI Technical Summary

Problems solved by technology

However, due to the instability of photovoltaic power generation, and the lack of information interaction with the grid and household electricity usage information, not only cannot make full use of photovoltaic power generation, but also cannot effectively reduce user electricity costs

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