Energy storage EMS demand control method, system, medium and equipment

CN118611120BActive Publication Date: 2025-01-07ZHUHAI NANFANG ZHIYUN AUTOMOBILE TECH CO LTD
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Patent Information

Application Number
CN202410690924.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-05-30
Publication Date
2025-01-07
Estimated Expiration
2044-05-30

AI Technical Summary

Technical Problem

The existing energy storage EMS control methods are difficult to accurately predict irregular power demand, resulting in inaccurate charging and discharging strategies of energy storage equipment, affecting regional power demand.

Method used

By obtaining the annual historical electricity consumption data of the target area, calculating the average electricity consumption of each preset time period, and combining activity requirements to estimate the electricity consumption of the current time period, determining the charging and discharging strategies of energy storage equipment, and using the power supply and The ratio of electricity consumption dynamically adjusts the charge and discharge amount, and optimizes the charge and discharge time based on electricity price information.

Benefits of technology

Improve the accuracy of forecasting fluctuations in power demand, ensure the accuracy of charging and discharging strategies of energy storage equipment, optimize the utilization efficiency of energy storage resources, ensure regional electricity demand, and achieve peak cutting and valley filling and economy in the changes in electricity prices. income.

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Abstract

A method, system, medium and device for energy storage EMS demand control, relating to the field of energy storage control technology. The method comprises: obtaining the annual historical electricity consumption data of the target area, and calculating the average electricity consumption of the target area in each preset time period based on the annual historical electricity consumption data; determining the average electricity consumption and activity demand corresponding to the target area in the current time period, and estimating the electricity consumption of the target area in the current time period based on the average electricity consumption and the activity demand; predicting the power supply of the power supply equipment in the current time period, and determining the charging and discharging strategy of the energy storage equipment based on the power supply and the electricity consumption; and controlling the operation of the corresponding energy storage equipment according to the charging and discharging strategy. The implementation of the technical solution provided in the present application can improve the prediction accuracy when the power demand fluctuates, thereby improving the accuracy of the charging and discharging strategy of the energy storage equipment and ensuring the regional electricity demand.
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Citation Information

Patent Citations

  • Rural electricity demand quantity analysis method based on big data

    CN117353300A

  • Intelligent charging and discharging scheduling method and device and electronic equipment

    CN118017649A