Photovoltaic energy storage equipment control method and device based on photovoltaic power prediction

By predicting and analyzing the photovoltaic power generation data, the problem of lack of accurate prediction in the photovoltaic energy storage system is solved, and more efficient energy storage system utilization and operation and maintenance efficiency is achieved.

CN119695876APending Publication Date: 2025-03-25SHENZHEN TIANSHUN SMART ENERGY TECH CO LTD
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Patent Information

Application Number
CN202411820836.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

In the integrated photovoltaic energy storage system, the lack of accurate prediction of photovoltaic power generation power has led to the inability to scientifically plan power generation plans, which reduces the utilization efficiency of the energy storage system.

Method used

By reading the photovoltaic power data from the past preset days from the database, calculating the power distribution per day per hour, using a single-sample T-test formula to predict the overall power average and floating range, and analyzing the safety upper and lower limits of historical power generation power, we control the operation of photovoltaic equipment and energy storage equipment.

Benefits of technology

The charging and discharging time and capacity of the energy storage system have been reasonably planned, the redischarge utilization rate of the energy storage system has been improved, the number of manual interventions has been reduced, and the operation and maintenance efficiency has been improved.

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Abstract

The invention provides a photovoltaic energy storage equipment control method and device based on photovoltaic power prediction. The method comprises the following steps: reading photovoltaic power generation power data of a photovoltaic power station in past preset days and corresponding data reporting time from a database; calculating power distribution per hour every day according to the photovoltaic power generation power data and the corresponding data reporting time, and drawing a power distribution diagram according to a single sample T test formula; determining a significance level, and predicting a total generated power mean value and a floating range according to a single sample T test formula; analyzing safety upper and lower limits of historical generated power; and after reading the power in the prediction range and the safe upper and lower limit power, lighting the photovoltaic equipment and the energy storage equipment according to the time point, and controlling the photovoltaic equipment and the energy storage equipment according to the received data. The method has the beneficial effect that the utilization efficiency of the energy storage system is improved.
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