CN-121984071-A - Equipment energy storage power supply remote intelligent management system based on Internet of things

CN121984071ACN 121984071 ACN121984071 ACN 121984071ACN-121984071-A

Abstract

The invention relates to the technical field of energy storage power supply management, discloses a device energy storage power supply remote intelligent management system based on the Internet of things, the system comprises a data acquisition and processing module, an analysis and prediction management module, an energy storage power supply management module, a charge and discharge management module, a remote management and control module, an operation and maintenance management module, an analysis and linkage management module, a safety and risk management module and a micro-grid display module. The invention can adopt different management strategies to the energy storage power supply through the energy storage power supply management module so as to obtain the maximized benefit, can respectively adopt different schemes to carry out charge and discharge management on the energy storage power supply in the power utilization peak period and the non-power utilization peak period of the power grid system through the charge and discharge management module, ensures the efficient operation of the energy storage power supply, and can realize the coordinated operation among the distributed power generation system, the energy storage power supply and the power grid system through the remote management and control module so as to realize the efficient utilization efficiency of the energy storage power supply.

Inventors

YU YANG
ZHU PENGFEI

Assignees

中芯数通量子科技(无锡)有限公司

Dates

Publication Date: 20260505
Application Date: 20260128

Claims (7)

1. The equipment energy storage power supply remote intelligent management system based on the Internet of things is characterized by comprising a data acquisition and processing module, an analysis and prediction management module, an energy storage power supply management module, a charge and discharge management module, a remote management and control module, an operation and maintenance management module, an analysis and linkage management module, a safety and risk management module and a micro-grid display module, The data acquisition and monitoring module is used for acquiring and processing power generation data of the distributed power generation system, power quality data of the power grid system, meteorological environment data and energy storage power supply performance data; the analysis prediction management module is used for predicting the battery state, the power generation condition of the distributed power generation system and the power load of equipment; the energy storage power supply management module is used for adopting different management strategies for the energy storage power supply; the charging and discharging management module is used for dividing the energy storage power supply into two groups, and respectively adopting different schemes to carry out charging and discharging management on the energy storage power supply when the power grid system is in a power utilization peak period and a non-power utilization peak period; the remote control module is used for monitoring the frequencies of the distributed power generation system, the energy storage power supply and the power grid system in real time, so that the coordinated operation among the distributed power generation system, the energy storage power supply and the power grid system is realized; the micro-grid display module is used for displaying data acquisition and processing information, alarm processing information, control and operation record information among the distributed power generation system, the energy storage power supply and the power grid system in real time.
2. The system of claim 1, wherein the energy storage power management module comprises an optimal discharge management policy, an optimal lifetime management policy and an optimal efficiency management policy, The optimal discharge management strategy is used for arranging the discharge time and the discharge quantity of the battery according to the performance state of the battery and the power consumption requirement of equipment so as to maximize the energy utilization of the battery; The optimal service life management strategy controls the charge and discharge current and depth of the battery according to the characteristics and the service life curve of the battery, so that the service life of the battery is maximized; The optimal performance management strategy achieves an optimal solution of balancing performance and cost by comprehensively considering energy utilization efficiency and battery life.
3. The remote intelligent management system of the energy storage power supply of the equipment based on the Internet of things according to claim 1, wherein in the charge and discharge management module, The scheme of charge and discharge management of the power grid system in the electricity consumption peak period is as follows: If the generated energy of the distributed power generation system is larger than the power load demand of the equipment, the redundant generated energy is transmitted and sold to the power grid system; if the generated energy of the distributed power generation system is smaller than the power load requirement of the equipment and a group of energy storage power supplies in a discharging stage do not reach the lower limit threshold value of the state of charge, discharging the group of energy storage power supplies; if the generated energy of the distributed power generation system is smaller than the power load requirement of the equipment, a group of energy storage power supplies in a discharging stage reach a lower limit threshold of the state of charge, and another group of energy storage power supplies in a charging stage reach an upper limit threshold of the state of charge, the energy storage power supplies in the charging stage and the discharging stage are respectively exchanged; if the generated energy of the distributed power generation system is smaller than the power load requirement of the equipment, one group of energy storage power supplies in a discharging stage reach a lower limit threshold of the state of charge, and the other group of energy storage power supplies in a charging stage do not reach an upper limit threshold of the state of charge, the states of the two groups of energy storage power supplies are unchanged; the scheme of charge and discharge management of the power grid in the non-electricity peak period is as follows: If the generated energy of the distributed power generation system is smaller than the electric load demand of the equipment, purchasing the distributed power generation system from the power grid system to meet the electric power shortage part of the equipment; If the generated energy of the distributed power generation system is larger than the power load requirement of the equipment and the group of energy storage power supplies in the charging stage does not reach the upper limit threshold of the state of charge, charging the group of energy storage power supplies with the redundant generated energy of the distributed power generation system; If the power generation capacity of the distributed power generation system is larger than the power load demand of the equipment, a group of energy storage power supplies in a charging stage reach an upper limit threshold of the state of charge, and another group of energy storage power supplies in a discharging stage reach a lower limit threshold of the state of charge, the energy storage power supplies in the charging and discharging stages are respectively exchanged; If the power generation capacity of the distributed power generation system is larger than the power load demand of the equipment, one group of energy storage power supplies in a charging stage reaches the upper limit threshold of the state of charge, and the other group of energy storage power supplies in a discharging stage does not reach the lower limit threshold of the state of charge, the states of the two groups of energy storage power supplies are unchanged, and the redundant power generation capacity of the distributed power generation system is transmitted and sold to a power grid system.
4. The remote intelligent management system of the equipment energy storage power supply based on the internet of things according to claim 1, wherein the operation and maintenance management module comprises a patrol management unit, a safety management unit, a work order management unit, an equipment and An Huanguan management unit and a comprehensive management unit, wherein the patrol management unit is used for managing the equipment energy storage power supply based on the internet of things; The inspection management unit is used for recording various inspection tasks in real time and realizing traceability of various inspection projects of the energy storage power supply; The safety management unit is used for carrying out safety supervision and management on the operation ticket and the work ticket in the operation and maintenance process and recording potential safety hazards; the work order management unit is used for carrying out flow standardized management on work order sources, work order assignment and work order archiving; the integrated management unit is used for creating a document knowledge base of a corresponding type according to the requirements and the levels of different personnel.
5. The remote intelligent management system of the equipment energy storage power supply based on the Internet of things according to claim 4, wherein the equipment and An Huanguan management unit comprises an equipment ledger information management subunit, an equipment ledger report management subunit, an equipment fault rating management subunit and a security and environment management subunit, The equipment ledger information management subunit is used for inputting equipment ledger information, generating corresponding two-dimensional codes and supporting mobile phone scanning and reading information; The equipment ledger report management subunit is used for classifying the equipment ledger information in the form of a statistical table; The equipment fault rating management subunit is used for rating faults of equipment and formulating corresponding fault grades; the safety and environment management subunit is used for making a safety system, organizing safety training, emergency exercise and safety assessment, and carrying out hidden trouble investigation.
6. The remote intelligent management system of the equipment energy storage power supply based on the internet of things according to claim 1, wherein the analysis and linkage management module comprises a current-voltage curve analysis unit, an equipment association degree analysis unit and an unmanned aerial vehicle linkage analysis unit, wherein, The current-voltage curve analysis unit is used for analyzing a relation curve between the direct current of the energy storage power supply and the terminal voltage and evaluating the working state and performance of the energy storage power supply; The equipment association degree analysis unit is used for identifying key electric equipment, coordinating the relation between the electric equipment and the energy storage power supply and optimizing power distribution and fault diagnosis; The unmanned aerial vehicle linkage analysis unit automatically detects abnormal conditions of energy storage power supplies at different positions through an unmanned aerial vehicle carrying a thermal infrared imaging camera and a visible light imaging camera, and positions abnormal details and accurate position information.
7. The remote intelligent management system of the energy storage power supply of the equipment based on the internet of things according to claim 1, wherein the safety and risk management module comprises a hazard identification management unit, a battery early warning protection management unit and a battery state safety management unit, wherein, The dangerous identification management unit is used for identifying defects of the battery, irregular behaviors of operation and maintenance personnel and dangerous sources; the battery early warning protection management unit is used for protecting the overcharge, overdischarge, over-temperature and over-current of the battery and electric leakage; the battery state safety management unit is used for reading the remaining battery power, battery terminal voltage, charge-discharge current, internal resistance and electrolyte temperature parameters.

Description

Equipment energy storage power supply remote intelligent management system based on Internet of things Technical Field The invention relates to the technical field of energy storage power supply management, in particular to a device energy storage power supply remote intelligent management system based on the Internet of things. Background The energy storage power supply is a power supply device capable of storing electric energy, can store the electric energy when the electric power is sufficient, and releases the stored electric energy when the electric power demand is high or the power grid fails so as to ensure the stable supply of the electric power, generally adopts a high-performance battery or super capacitor as an energy storage element, has the characteristics of high efficiency, long service life, safety, reliability and the like, and plays an important role in the fields of new energy automobiles, smart grids, distributed energy sources and the like. With the progress of technology and the reduction of cost, the application prospect of the energy storage power supply is wider, and the energy utilization efficiency can be optimized, the system reliability can be improved and the service life of equipment can be prolonged by the technical means of advanced intelligent management. The Chinese patent discloses an energy storage power supply management system (grant notice number CN 116961068B) based on artificial intelligence, the power consumption in a part of metering time period is predicted by utilizing the change rule of the power consumption condition of a photovoltaic charging station in one period, and meanwhile, the power consumption in another part of metering time period is predicted by utilizing the relation between the power consumption and the traffic flow of a selected associated line in the metering time period, and the power consumption in each metering time period can be predicted by utilizing the cooperation of the power consumption and the traffic flow, so that the accurate planning of a power consumption strategy of the photovoltaic charging station is facilitated, the uniformity of power grid output can be improved as much as possible when power grid assistance is needed, the impact on a power grid is reduced, the connection times with the power grid are reduced, the power loss in the power transmission process of the power grid and an energy storage unit is reduced, but the energy storage power supply cannot be optimally managed, and the utilization efficiency of the energy storage power supply is not high. Disclosure of Invention The invention aims to provide a device energy storage power supply remote intelligent management system based on the Internet of things, so as to solve the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: The equipment energy storage power supply remote intelligent management system based on the Internet of things comprises a data acquisition and processing module, an analysis and prediction management module, an energy storage power supply management module, a charge and discharge management module, a remote management and control module, an operation and maintenance management module, an analysis and linkage management module, a safety and risk management module and a micro-grid display module, The data acquisition and monitoring module is used for acquiring and processing power generation data of the distributed power generation system, power quality data of the power grid system, meteorological environment data and energy storage power supply performance data; the analysis prediction management module is used for predicting the battery state, the power generation condition of the distributed power generation system and the power load of equipment; the energy storage power supply management module is used for adopting different management strategies for the energy storage power supply; the charging and discharging management module is used for dividing the energy storage power supply into two groups, and respectively adopting different schemes to carry out charging and discharging management on the energy storage power supply when the power grid system is in a power utilization peak period and a non-power utilization peak period; the remote control module is used for monitoring the frequencies of the distributed power generation system, the energy storage power supply and the power grid system in real time, so that the coordinated operation among the distributed power generation system, the energy storage power supply and the power grid system is realized; the micro-grid display module is used for displaying data acquisition and processing information, alarm processing information, control and operation record information among the distributed power generation system, the energy storage power supply and the power grid system in real time. As still furthe