CN-122026459-A - Energy management method, device and equipment of energy storage equipment

CN122026459ACN 122026459 ACN122026459 ACN 122026459ACN-122026459-A

Abstract

The present application relates to the field of energy storage devices, and in particular, to an energy management method, apparatus and device for an energy storage device. The energy management method of the energy storage device comprises the steps of obtaining operation parameter information and strategy influence information of an energy storage unit in real time, wherein the operation parameter information comprises voltage information, current information, temperature information, SOC information, SOH information and operation load information of the energy storage unit, the strategy influence information comprises real-time electricity price and real-time weather, determining a target charging and discharging strategy according to the operation parameter information and the strategy influence information, sending the target charging and discharging strategy to the energy storage unit to be executed, and/or feeding back a user according to the target charging and discharging strategy when an interaction instruction sent by the user is received. The energy management system provided by the embodiment of the application not only can provide energy optimization scheduling, reduce energy cost and improve system efficiency, but also can support all-weather intelligent customer service, reduce the use threshold of users and improve user experience.

Inventors

XIAO LEI
SHEN GAOSONG

Assignees

深圳市华宝新能源股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. A method of energy management of an energy storage device, the method comprising: Acquiring operation parameter information and strategy influence information of an energy storage unit in real time, wherein the operation parameter information comprises voltage information, current information, temperature information, SOC information, SOH information and operation load information of the energy storage unit, and the strategy influence information comprises real-time electricity price and real-time weather; determining a target charging and discharging strategy according to the operation parameter information and the strategy influence information; transmitting the target charge-discharge strategy to the energy storage unit for execution, and/or When an interaction instruction sent by a user is received, feeding back the user according to the target charge-discharge strategy; Wherein, the determining the target charging and discharging strategy according to the operation parameter information and the strategy influence information includes: Determining first operation load information in the first time in the future according to the operation load information in the operation parameter information, and determining first electricity price information and first air information in the first time in the future according to the strategy influence information; determining equipment operation constraint information; Inputting the first operation load information, the first electricity price information, the first weather information and the operation constraint information into a charge-discharge strategy model which is trained in advance, wherein the charge-discharge strategy model is used for outputting charge-discharge strategy information according to the first operation load information, the first electricity price information, the first weather information and the operation constraint information, and the charge-discharge strategy information comprises a charge-discharge strategy and a power curve in the first time in the future; and determining the target charge-discharge strategy according to the charge-discharge strategy information.
2. The method of claim 1, wherein after the acquiring the operation parameter information and the policy influence information of the energy storage unit in real time, the method further comprises: Inputting the operation parameter information into an abnormality judgment model which is trained in advance, wherein the abnormality judgment model is used for outputting abnormality judgment information according to the operation parameter information, and the abnormality judgment information comprises whether the energy storage unit is abnormal or not and determining the type and the grade of the abnormality when the abnormality occurs; When the energy storage unit is determined to be abnormal according to the abnormality judgment information output by the abnormality judgment model, corresponding processing is executed according to the type and the grade of the abnormality of the energy storage unit.
3. The method according to claim 2, wherein after determining that the energy storage unit is abnormal according to the output result of the abnormality determination model, the method further comprises: Pushing the abnormality judgment information and the solution corresponding to the abnormality of the energy storage unit to a user.
4. The method of claim 1, wherein the first operating load information comprises a time-sharing total load power and/or an electric quantity of the energy storage unit in a first time in the future; The first electricity price information comprises a time-sharing electricity price curve, a price peak duration and an electricity price fluctuation range in the first time in the future; the first weather information comprises time-sharing weather forecast data and extreme weather data in the first time in the future; the outputting charging and discharging policy information according to the first operation load information, the first electricity price information, the first air information, and the operation constraint information includes: And determining an optimal result which simultaneously meets the minimization of electricity charge cost, the minimization of service life attenuation of an energy storage battery, the maximization of peak load reduction and the maximization of photovoltaic self-utilization rate as the charging and discharging strategy information based on the first operation load information, the first electricity price information and the operation constraint information.
5. The method according to any one of claims 1 or 2, wherein after determining that an abnormality has occurred in the energy storage unit, the method further comprises: performing closed-loop feedback control on the abnormality judgment model or the charge-discharge strategy model through the abnormality judgment information output by the abnormality judgment model or the charge-discharge strategy information output by the charge-discharge strategy model; and optimizing model threshold values and parameters of the abnormality judgment model or the charge-discharge strategy model based on the closed-loop feedback control.
6. The method of claim 1, wherein the receiving the interaction instruction sent by the user comprises: When an interaction instruction issued by a user is received, extracting intention information from the interaction instruction through a natural language processing technology NLP; When the intention information is inquiring about the related content of the charging and discharging strategy, generating reply information according to the target charging and discharging strategy, and pushing the reply information to a user.
7. The method of claim 6, wherein after extracting the intent information from the interactive instruction by natural language processing technology NLP, the method further comprises: Searching a preset knowledge base to inquire reply information corresponding to the intention information when the intention information is the inquiry of the related content of the basic function; pushing the queried reply information to a user.
8. The method according to any one of claims 6-7, further comprising: when the reply information cannot be generated according to the intention information, or when a first operation instruction of a user is received, switching to the manual customer service through the cloud server.
9. An energy management device for an energy storage system, the device comprising: The energy storage monitoring module is used for acquiring operation parameter information and strategy influence information of the energy storage unit in real time, wherein the operation parameter information comprises voltage information, current information, temperature information, SOC information, SOH information and operation load information of the energy storage unit, and the strategy influence information comprises real-time electricity price and real-time weather; The energy management module is used for determining a target charging and discharging strategy according to the operation parameter information and the strategy influence information, and sending the target charging and discharging strategy to the energy storage unit for execution; and the interaction module is used for feeding back the user according to the target charge-discharge strategy when receiving the interaction instruction sent by the user.
10. An energy storage device, comprising: the inverter is used for alternating current-direct current conversion; the energy storage battery is used for storing electric quantity; An energy management system comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the energy management method of an energy storage device of any one of claims 1 to 8.

Description

Energy management method, device and equipment of energy storage equipment Technical Field The present application relates to the field of energy storage devices, and in particular, to an energy management method, apparatus and device for an energy storage device. Background The current intelligent customer service systems applied to energy storage equipment, such as call centers and online voice/video customer service, depend on cloud servers or local servers, and provide services such as consultation, order processing, remote technical support and the like through networks. However, such systems generally suffer from limited levels of intelligence, insufficient interaction with users, and inefficient customer service, resulting in a lack of intelligence capability for interaction with customers, fault diagnosis, and business management. Disclosure of Invention The embodiment of the invention provides an energy management method, device and equipment of energy storage equipment, which are used for solving the problems of limited intelligent level, insufficient interaction with a user, low customer service efficiency and the like of a customer service system of the energy storage equipment in the prior art. In a first aspect, an embodiment of the present invention provides an energy management method of an energy storage device, the method including: Acquiring operation parameter information and strategy influence information of an energy storage unit in real time, wherein the operation parameter information comprises voltage information, current information, temperature information, SOC information, SOH information and operation load information of the energy storage unit, and the strategy influence information comprises real-time electricity price and real-time weather; determining a target charging and discharging strategy according to the operation parameter information and the strategy influence information; transmitting the target charge-discharge strategy to the energy storage unit for execution, and/or When an interaction instruction sent by a user is received, feeding back the user according to the target charge-discharge strategy; Wherein, the determining the target charging and discharging strategy according to the operation parameter information and the strategy influence information includes: Determining first operation load information in the first time in the future according to the operation load information in the operation parameter information, and determining first electricity price information and first air information in the first time in the future according to the strategy influence information; determining equipment operation constraint information; Inputting the first operation load information, the first electricity price information, the first weather information and the operation constraint information into a charge-discharge strategy model which is trained in advance, wherein the charge-discharge strategy model is used for outputting charge-discharge strategy information according to the first operation load information, the first electricity price information, the first weather information and the operation constraint information, and the charge-discharge strategy information comprises a charge-discharge strategy and a power curve in the first time in the future; and determining the target charge-discharge strategy according to the charge-discharge strategy information. Optionally, after the operation parameter information and the policy influence information of the energy storage unit are obtained in real time, the method further includes: Inputting the operation parameter information into an abnormality judgment model which is trained in advance, wherein the abnormality judgment model is used for outputting abnormality judgment information according to the operation parameter information, and the abnormality judgment information comprises whether the energy storage unit is abnormal or not and determining the type and the grade of the abnormality when the abnormality occurs; When the energy storage unit is determined to be abnormal according to the abnormality judgment information output by the abnormality judgment model, corresponding processing is executed according to the type and the grade of the abnormality of the energy storage unit. Optionally, after determining that the energy storage unit is abnormal according to the output result of the abnormality determination model, the method further includes: Pushing the abnormality judgment information and the solution corresponding to the abnormality of the energy storage unit to a user. Optionally, the first operation load information comprises time-sharing total load power and/or electric quantity of the energy storage unit in the first time in the future; The first electricity price information comprises a time-sharing electricity price curve, a price peak duration and an electricity price fluctuation range in the first ti