EMS energy intelligent storage management method, system and readable storage medium

Abstract

This invention discloses an EMS (Energy Management System) intelligent energy storage management method, system, and readable storage medium. The method includes: discharge management based on the energy storage unit, wherein the discharge power is adaptively adjusted during discharge; charging management by acquiring operating data of different energy storage batteries, wherein equalization management is performed in conjunction with discharge demand during charging management; health management is performed by combining individual energy storage units and the overall energy storage system during the charge and discharge scheduling management process; and energy storage unit operation logs are recorded at preset intervals to perform intelligent energy storage prediction and dynamically adjust the management mechanism. This invention can perform charge and discharge management and health management of the energy storage unit under the control and management of the EMS, effectively scheduling energy flow. By continuously and dynamically optimizing and adjusting management measures, it can extend the equipment life while achieving intelligent scheduling and allocation goals.

Description

Technical Field

[0001] This invention relates to the field of power management technology, and more specifically, to an EMS (Energy Management System) intelligent energy storage management method, system, and readable storage medium. Background Technology

[0002] EMS (Energy Management System) is an intelligent management system used to optimize energy use, improve system efficiency, reduce energy consumption, and minimize energy costs.

[0003] Currently, as the application of EMS for energy storage machines deepens, a series of problems and challenges are also encountered. For example, how to allocate power more rationally during charging and discharging management, and how to adjust power during safety monitoring and protection, all require further optimization. Summary of the Invention

[0004] The purpose of this invention is to provide an EMS (Energy Management System) intelligent energy storage management method, system, and readable storage medium. Under the control and management of the EMS, the energy storage device can be charged and discharged and its health managed. It can effectively schedule energy flow and extend the equipment life while achieving intelligent scheduling and allocation goals through continuous dynamic optimization and adjustment of management measures.

[0005] The first aspect of this invention provides an EMS (Energy Management System) intelligent energy storage management method, comprising the following steps:

[0006] Discharge management is based on energy storage devices, wherein the discharge power is adaptively adjusted during discharge.

[0007] The system acquires operational data from different energy storage batteries for charging management, including balancing management in conjunction with discharge demand.

[0008] During the charging and discharging scheduling management process, health management is carried out by combining individual energy storage units and the overall energy storage unit;

[0009] The system records the operation logs of the energy storage unit at a preset cycle, and performs intelligent energy storage prediction to dynamically adjust the management mechanism.

[0010] In this solution, the discharge management based on the energy storage device includes adaptive adjustment of the discharge power during discharge, specifically comprising:

[0011] The charging load capacity value is obtained based on user needs, including single-user needs and / or multi-user needs. Adaptive discharge power adjustment is then performed based on the load capacity value.

[0012] Power is adjusted based on the needs of a single user, wherein the charging power value of a single user is obtained to perform the discharge power response of the single energy storage device.

[0013] Power is adjusted based on multi-user demand, wherein the type and runtime of multi-user demand are obtained to adjust the power response of the overall energy storage device.

[0014] Multi-objective optimization adjustment: When adjusting the power response to the needs of multiple users, the target power of a single energy storage unit is adjusted based on the real-time power of the overall energy storage unit.

[0015] In this solution, the step of acquiring operational data from different energy storage batteries for charging management specifically includes:

[0016] The energy storage device is charged based on a preset time period, which includes a first time period and a second time period.

[0017] The energy storage device is charged based on the first time period, which includes the period of low electricity price.

[0018] The energy storage device is charged based on the second time period, which includes the daytime experience period.

[0019] In this solution, charging management is combined with discharging demand for balanced management, specifically including:

[0020] During parallel charging and discharging of the energy storage device, a balance management system is implemented based on the current time period and the user demand.

[0021] During the first time period, the single energy storage unit with the largest battery capacity in the overall energy storage system is discharged based on the single user demand response; the demand quantity value and demand power value are identified based on the multi-user demand, and the overall energy storage units are sorted in ascending order of power; the energy storage units that are matched and sorted based on the demand quantity value and demand power value are discharged.

[0022] During the second time period, based on the single user demand response, the single energy storage unit with the smallest battery capacity in the overall energy storage unit is discharged; based on the multi-user demand, the demand quantity value and the demand power value are identified, and the overall energy storage units are sorted in reverse order of power; the energy storage units that are matched and sorted based on the demand quantity value and the demand power value are discharged.

[0023] In this solution, health management is conducted by combining individual energy storage units and the overall energy storage system during the charging and discharging scheduling management process. Specifically, this includes:

[0024] Monitor the real-time temperature and output voltage of a single energy storage unit, and perform intelligent control and adjustment based on the real-time temperature to complete the health management of the single energy storage unit;

[0025] Health management is performed based on the combination of the total output power of the overall energy storage device and the output voltage of the individual energy storage devices. The output voltage of the individual energy storage devices is reasonably configured in combination with the total output power to complete the overall energy storage device health management. The configuration methods include vehicle model configuration and / or battery type configuration.

[0026] In this solution, the energy storage unit's operation log is recorded at a preset period to perform intelligent energy storage prediction and dynamically adjust the management mechanism, specifically including:

[0027] Daily logs are generated by recording the daily charging and discharging scheduling data and health management data of the energy storage units.

[0028] Based on the aforementioned period, the daily logs are mapped to data endpoints to obtain the periodic regularity data of the current period management mechanism.

[0029] A management mechanism is established based on the aforementioned periodic data to predict energy storage activity and dynamically adjust the management for the next cycle.

[0030] A second aspect of the present invention also provides an EMS (Energy Management System) intelligent energy storage management system, including a memory and a processor. The memory includes an EMS intelligent energy storage management method program, which, when executed by the processor, performs the following steps:

[0031] Discharge management is based on energy storage devices, wherein the discharge power is adaptively adjusted during discharge.

[0032] The system acquires operational data from different energy storage batteries for charging management, including balancing management in conjunction with discharge demand.

[0033] During the charging and discharging scheduling management process, health management is carried out by combining individual energy storage units and the overall energy storage unit;

[0034] The system records the operation logs of the energy storage unit at a preset cycle, and performs intelligent energy storage prediction to dynamically adjust the management mechanism.

[0035] In this solution, the discharge management based on the energy storage device includes adaptive adjustment of the discharge power during discharge, specifically comprising:

[0036] The charging load capacity value is obtained based on user needs, including single-user needs and / or multi-user needs. Adaptive discharge power adjustment is then performed based on the load capacity value.

[0037] Power is adjusted based on the needs of a single user, wherein the charging power value of a single user is obtained to perform the discharge power response of the single energy storage device.

[0038] Power is adjusted based on multi-user demand, wherein the type and runtime of multi-user demand are obtained to adjust the power response of the overall energy storage device.

[0039] Multi-objective optimization adjustment: When adjusting the power response to the needs of multiple users, the target power of a single energy storage unit is adjusted based on the real-time power of the overall energy storage unit.

[0040] In this solution, the step of acquiring operational data from different energy storage batteries for charging management specifically includes:

[0041] The energy storage device is charged based on a preset time period, which includes a first time period and a second time period.

[0042] The energy storage device is charged based on the first time period, which includes the period of low electricity price.

[0043] The energy storage device is charged based on the second time period, which includes the daytime experience period.

[0044] In this solution, charging management is combined with discharging demand for balanced management, specifically including:

[0045] During parallel charging and discharging of the energy storage device, a balance management system is implemented based on the current time period and the user demand.

[0046] During the first time period, the single energy storage unit with the largest battery capacity in the overall energy storage system is discharged based on the single user demand response; the demand quantity value and demand power value are identified based on the multi-user demand, and the overall energy storage units are sorted in ascending order of power; the energy storage units that are matched and sorted based on the demand quantity value and demand power value are discharged.

[0047] During the second time period, based on the single user demand response, the single energy storage unit with the smallest battery capacity in the overall energy storage unit is discharged; based on the multi-user demand, the demand quantity value and the demand power value are identified, and the overall energy storage units are sorted in reverse order of power; the energy storage units that are matched and sorted based on the demand quantity value and the demand power value are discharged.

[0048] In this solution, health management is conducted by combining individual energy storage units and the overall energy storage system during the charging and discharging scheduling management process. Specifically, this includes:

[0049] Monitor the real-time temperature and output voltage of a single energy storage unit, and perform intelligent control and adjustment based on the real-time temperature to complete the health management of the single energy storage unit;

[0050] Health management is performed based on the combination of the total output power of the overall energy storage device and the output voltage of the individual energy storage devices. The output voltage of the individual energy storage devices is reasonably configured in combination with the total output power to complete the overall energy storage device health management. The configuration methods include vehicle model configuration and / or battery type configuration.

[0051] In this solution, the energy storage unit's operation log is recorded at a preset period to perform intelligent energy storage prediction and dynamically adjust the management mechanism, specifically including:

[0052] Daily logs are generated by recording the daily charging and discharging scheduling data and health management data of the energy storage units.

[0053] Based on the aforementioned period, the daily logs are mapped to data endpoints to obtain the periodic regularity data of the current period management mechanism.

[0054] A management mechanism is established based on the aforementioned periodic data to predict energy storage activity and dynamically adjust the management for the next cycle.

[0055] A third aspect of the present invention provides a computer-readable storage medium comprising a machine program for an EMS (Energy Management System) intelligent energy storage management method, wherein when the EMS intelligent energy storage management method program is executed by a processor, it implements the steps of an EMS intelligent energy storage management method as described in any of the preceding claims.

[0056] This invention discloses an EMS (Energy Management System) intelligent energy storage management method, system, and readable storage medium. Under the control and management of the EMS, the energy storage device can be charged and discharged and its health managed. It can effectively schedule energy flow and extend the equipment life while achieving intelligent scheduling and allocation goals through continuous dynamic optimization and adjustment of management measures. Attached Figure Description

[0057] Figure 1 A flowchart of an EMS intelligent energy storage management method according to the present invention is shown;

[0058] Figure 2 A block diagram of an EMS (Energy Management System) intelligent energy storage management system according to the present invention is shown. Detailed Implementation

[0059] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0060] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0061] Figure 1 A flowchart of an EMS intelligent energy storage management method according to this application is shown.

[0062] like Figure 1As shown, this application discloses an EMS (Energy Management System) intelligent energy storage management method, including the following steps:

[0063] S102, discharge management is based on the energy storage device, wherein the discharge power is adaptively adjusted during discharge;

[0064] S104: Obtain the operating data of different energy storage batteries for charging management, wherein equalization management is performed in conjunction with discharge demand during charging management;

[0065] S106, in the process of charging and discharging scheduling management, combines the health management of individual energy storage units and the overall energy storage unit;

[0066] S108 records the energy storage machine's operation log at a preset cycle and performs intelligent energy storage prediction to dynamically adjust the management mechanism.

[0067] It should be noted that, in this embodiment, the use of an Energy Management System (EMS) to manage energy storage devices (such as battery energy storage systems) can optimize energy charging and discharging control, extend battery life, improve system economy and efficiency, and enhance energy utilization in many scenarios. This embodiment mainly describes two management mechanisms: charging and discharging management and health management. Specifically, discharge management is based on the energy storage device, wherein the discharge power is adaptively adjusted during discharge. When acquiring the operating data of different energy storage batteries for charging management, it is necessary to combine specific discharge requirements for balanced management to achieve intelligent allocation. At the same time, during the charging and discharging scheduling management process, health management is combined with individual energy storage devices and the overall energy storage system to ensure that the entire operating system is in a safe and stable working state. The energy storage device operation log is recorded at a preset period to perform intelligent energy storage prediction and dynamically adjust the management mechanism.

[0068] According to an embodiment of the present invention, the discharge management based on the energy storage device, wherein adaptive adjustment of the discharge power during discharge specifically includes:

[0069] The charging load capacity value is obtained based on user needs, including single-user needs and / or multi-user needs. Adaptive discharge power adjustment is then performed based on the load capacity value.

[0070] Power is adjusted based on the needs of a single user, wherein the charging power value of a single user is obtained to perform the discharge power response of the single energy storage device.

[0071] Power is adjusted based on multi-user demand, wherein the type and runtime of multi-user demand are obtained to adjust the power response of the overall energy storage device.

[0072] Multi-objective optimization adjustment: When adjusting the power response to the needs of multiple users, the target power of a single energy storage unit is adjusted based on the real-time power of the overall energy storage unit.

[0073] It should be noted that this embodiment specifically describes how to perform discharge management and provides three adjustment measures: first, power adjustment based on single-user demand; second, power adjustment based on multi-user demand; and third, multi-objective optimization adjustment. Specifically, power adjustment based on single-user demand involves obtaining the charging power value of a single user and adjusting the discharge power response of the individual energy storage unit to ensure that the charging demand of a single user meets the corresponding power value. Simultaneously, power adjustment based on multi-user demand involves obtaining the type and operating segment of multi-user demand to adjust the overall power response of the energy storage unit, specifically based on the charging needs of different users. The power response of the overall energy storage unit is adjusted for different time periods. Specifically, the power response of the overall energy storage unit is obtained by comprehensively considering the charging needs of users during daytime and nighttime periods to meet the electricity demand at different times and to optimize the adjustment for multiple objectives. When adjusting the power response for the needs of multiple users, the target power of each energy storage unit is adjusted based on the real-time power of the overall energy storage unit. Since the total input power of the overall energy storage unit is constant, in multi-user applications, it is necessary to optimize the adjustment based on multiple objectives. The discharge objects (vehicles) connected to each energy storage unit in real time are statistically analyzed, and average or differential regulation is performed on the overall energy storage unit.

[0074] According to an embodiment of the present invention, the step of acquiring operating data of different energy storage batteries for charging management specifically includes:

[0075] The energy storage device is charged based on a preset time period, which includes a first time period and a second time period.

[0076] The energy storage device is charged based on the first time period, which includes the period of low electricity price.

[0077] The energy storage device is charged based on the second time period, which includes the daytime experience period.

[0078] It should be noted that, in this embodiment, the first time period is nighttime and the second time period is daytime. When managing the charging of the energy storage device, the charging management is based on the first time period, which includes the low electricity price period, so that charging is performed during the low electricity price period to reduce the cost of energy storage, and discharging is performed during the peak electricity consumption period during the day. The charging management is based on the second time period, which includes the daytime empirical period, wherein the daytime empirical period is the period of low electricity demand during the non-low-peak period of the day and the low electricity price period of the daytime. By charging during the low electricity price period and charging when demand is low, the daytime discharge demand can be met.

[0079] According to an embodiment of the present invention, charging management incorporates equalization management based on discharging demand, specifically including:

[0080] During parallel charging and discharging of the energy storage device, a balance management system is implemented based on the current time period and the user demand.

[0081] During the first time period, the single energy storage unit with the largest battery capacity in the overall energy storage system is discharged based on the single user demand response; the demand quantity value and demand power value are identified based on the multi-user demand, and the overall energy storage units are sorted in ascending order of power; the energy storage units that are matched and sorted based on the demand quantity value and demand power value are discharged.

[0082] During the second time period, based on the single user demand response, the single energy storage unit with the smallest battery capacity in the overall energy storage unit is discharged; based on the multi-user demand, the demand quantity value and the demand power value are identified, and the overall energy storage units are sorted in reverse order of power; the energy storage units that are matched and sorted based on the demand quantity value and the demand power value are discharged.

[0083] It should be noted that in this embodiment, the energy storage system charges and discharges simultaneously, commonly referred to as "bidirectional charging and discharging" or parallel charging and discharging. During the first time period, when the energy storage units are charging and discharging in parallel, the single energy storage unit with the largest battery capacity among all the energy storage units discharges based on the single user's demand response. At this time, the battery capacity of the energy storage unit is low-cost and can be used for commercial discharge to maximize profits. However, based on the identification of demand quantity and demand amount based on multiple user demands, it is necessary to sort the overall energy storage units in ascending order of their power demand and match the sorting based on the demand quantity and demand amount. The energy storage units then discharge, prioritizing the required power quantity. Energy storage units are selected in ascending order based on the required quantity and matched with the units according to their power quantity. For example, if the required quantity is 5, the corresponding required power quantities are "58%, 73%, 64%, 80%, and 92%". Therefore, the energy storage units arranged in ascending order of power quantity are A1, A2, A3, A4, and A5. Accordingly, A1 is paired with 92%, A2 with 80%, A3 with 73%, A4 with 64%, and A5 with 58%.

[0084] According to an embodiment of the present invention, in the process of charge and discharge scheduling management, health management is carried out by combining individual energy storage units and the overall energy storage unit, specifically including:

[0085] Monitor the real-time temperature and output voltage of a single energy storage unit, and perform intelligent control and adjustment based on the real-time temperature to complete the health management of the single energy storage unit;

[0086] Health management is performed based on the combination of the total output power of the overall energy storage device and the output voltage of the individual energy storage devices. The output voltage of the individual energy storage devices is reasonably configured in combination with the total output power to complete the overall energy storage device health management. The configuration methods include vehicle model configuration and / or battery type configuration.

[0087] It should be noted that, in this embodiment, during health management, temperature and voltage can be managed. Specifically, the real-time temperature and output voltage of a single energy storage unit are monitored, and intelligent control adjustment is performed based on the real-time temperature to complete the health management of the single energy storage unit, avoiding excessively high or low temperatures. Simultaneously, health management is performed based on the total output power of the overall energy storage system combined with the output voltage of the individual energy storage units. The output voltage of the individual energy storage units is rationally configured based on the total output power to complete the overall energy storage system health management. Configuration methods include vehicle model configuration and / or battery type configuration. Specifically, the above embodiment describes that power adjustment includes average control or differential control. Power control uses output voltage for regulation. In average control, the average output voltage is obtained based on the current battery type, ensuring that each demand is met under full demand conditions. For differential control, the voltage requirement corresponding to each vehicle is obtained based on the vehicle model configuration, configuring different voltage requirements for different vehicles to better address the charging needs of vehicles from different manufacturers.

[0088] According to an embodiment of the present invention, the operation log of the energy storage device is recorded at a preset period to perform intelligent energy storage prediction and dynamically adjust the management mechanism, specifically including:

[0089] Daily logs are generated by recording the daily charging and discharging scheduling data and health management data of the energy storage units.

[0090] Based on the aforementioned period, the daily logs are mapped to data endpoints to obtain the periodic regularity data of the current period management mechanism.

[0091] A management mechanism is established based on the aforementioned periodic data to predict energy storage activity and dynamically adjust the management for the next cycle.

[0092] It should be noted that, in this embodiment, the daily log is recorded in 24-hour intervals, with a preset cycle of 7 days from Tuesday to Monday. The daily log is recorded by combining the charging and discharging data and health management data of different dates and different time periods on the same date, and mapping the data points on the time axis to obtain the periodic pattern data of the current 7-day cycle management mechanism. Based on the periodic pattern data, intelligent energy storage prediction is performed to dynamically adjust the management mechanism for the next cycle, which is mainly reflected in the power adjustment at different time periods and the selection of the charging time period of the energy storage machine.

[0093] It is worth mentioning that the method also includes renewable energy management, in which renewable energy is used to assist in the configuration when multiple users combine the total output power to reasonably configure the output voltage of a single energy storage unit during the second time period.

[0094] It should be noted that, in this embodiment, since the multi-user power regulation proposed in this application is in two ways, one is average regulation and the other is differential regulation, and since the output power of the power grid is constant, the differential regulation method may be volatile. During the second time period, it is necessary to use renewable energy for auxiliary configuration. By supplying power to renewable energy sources, the power gap can be made up. Accordingly, the renewable energy sources include photovoltaic energy.

[0095] It is worth mentioning that the method also includes integrated management of photovoltaic energy, specifically including:

[0096] During the second time period, when managing the charging and discharging of different energy storage batteries, integrated management is carried out based on the photovoltaic power source. This includes coordinating the relationship between the current photovoltaic power source and the charging load, as well as coordinating the relationship between the current photovoltaic power source and the energy storage battery.

[0097] It should be noted that, in this embodiment, in the traditional method, the photovoltaic power source directly charges the energy storage battery, and then the energy storage battery discharges. However, in this embodiment, during the second time period, especially during the low electricity price period, the photovoltaic power source can discharge the load while the energy storage battery of the energy storage machine discharges the load. The corresponding discharge ratio can be determined based on the current demand quantity. When the demand quantity is greater than or equal to the number of energy storage machines, the ratio is 1:1; when the demand quantity is less than the number of energy storage machines, the ratio is 2:1.

[0098] Figure 2 A block diagram of an EMS (Energy Management System) intelligent energy storage management system according to the present invention is shown.

[0099] like Figure 2 As shown, this invention discloses an EMS (Energy Management System) intelligent energy storage management system, including a memory and a processor. The memory includes an EMS intelligent energy storage management method program, which, when executed by the processor, performs the following steps:

[0100] Discharge management is based on energy storage devices, wherein the discharge power is adaptively adjusted during discharge.

[0101] The system acquires operational data from different energy storage batteries for charging management, including balancing management in conjunction with discharge demand.

[0102] During the charging and discharging scheduling management process, health management is carried out by combining individual energy storage units and the overall energy storage unit;

[0103] The system records the operation logs of the energy storage unit at a preset cycle, and performs intelligent energy storage prediction to dynamically adjust the management mechanism.

[0104] It should be noted that, in this embodiment, the use of an Energy Management System (EMS) to manage energy storage devices (such as battery energy storage systems) can optimize energy charging and discharging control, extend battery life, improve system economy and efficiency, and enhance energy utilization in many scenarios. This embodiment mainly describes two management mechanisms: charging and discharging management and health management. Specifically, discharge management is based on the energy storage device, wherein the discharge power is adaptively adjusted during discharge. When acquiring the operating data of different energy storage batteries for charging management, it is necessary to combine specific discharge requirements for balanced management to achieve intelligent allocation. At the same time, during the charging and discharging scheduling management process, health management is combined with individual energy storage devices and the overall energy storage system to ensure that the entire operating system is in a safe and stable working state. The energy storage device operation log is recorded at a preset period to perform intelligent energy storage prediction and dynamically adjust the management mechanism.

[0105] According to an embodiment of the present invention, the discharge management based on the energy storage device, wherein adaptive adjustment of the discharge power during discharge specifically includes:

[0106] The charging load capacity value is obtained based on user needs, including single-user needs and / or multi-user needs. Adaptive discharge power adjustment is then performed based on the load capacity value.

[0107] Power is adjusted based on the needs of a single user, wherein the charging power value of a single user is obtained to perform the discharge power response of the single energy storage device.

[0108] Power is adjusted based on multi-user demand, wherein the type and runtime of multi-user demand are obtained to adjust the power response of the overall energy storage device.

[0109] Multi-objective optimization adjustment: When adjusting the power response to the needs of multiple users, the target power of a single energy storage unit is adjusted based on the real-time power of the overall energy storage unit.

[0110] It should be noted that this embodiment specifically describes how to perform discharge management and provides three adjustment measures: first, power adjustment based on single-user demand; second, power adjustment based on multi-user demand; and third, multi-objective optimization adjustment. Specifically, power adjustment based on single-user demand involves obtaining the charging power value of a single user and adjusting the discharge power response of the individual energy storage unit to ensure that the charging demand of a single user meets the corresponding power value. Simultaneously, power adjustment based on multi-user demand involves obtaining the type and operating segment of multi-user demand to adjust the overall power response of the energy storage unit, specifically based on the charging needs of different users. The power response of the overall energy storage unit is adjusted for different time periods. Specifically, the power response of the overall energy storage unit is obtained by comprehensively considering the charging needs of users during daytime and nighttime periods to meet the electricity demand at different times and to optimize the adjustment for multiple objectives. When adjusting the power response for the needs of multiple users, the target power of each energy storage unit is adjusted based on the real-time power of the overall energy storage unit. Since the total input power of the overall energy storage unit is constant, in multi-user applications, it is necessary to optimize the adjustment based on multiple objectives. The discharge objects (vehicles) connected to each energy storage unit in real time are statistically analyzed, and average or differential regulation is performed on the overall energy storage unit.

[0111] According to an embodiment of the present invention, the step of acquiring operating data of different energy storage batteries for charging management specifically includes:

[0112] The energy storage device is charged based on a preset time period, which includes a first time period and a second time period.

[0113] The energy storage device is charged based on the first time period, which includes the period of low electricity price.

[0114] The energy storage device is charged based on the second time period, which includes the daytime experience period.

[0115] It should be noted that, in this embodiment, the first time period is nighttime and the second time period is daytime. When managing the charging of the energy storage device, the charging management is based on the first time period, which includes the low electricity price period, so that charging is performed during the low electricity price period to reduce the cost of energy storage, and discharging is performed during the peak electricity consumption period during the day. The charging management is based on the second time period, which includes the daytime empirical period, wherein the daytime empirical period is the period of low electricity demand during the non-low-peak period of the day and the low electricity price period of the daytime. By charging during the low electricity price period and charging when demand is low, the daytime discharge demand can be met.

[0116] According to an embodiment of the present invention, charging management incorporates equalization management based on discharging demand, specifically including:

[0117] During parallel charging and discharging of the energy storage device, a balance management system is implemented based on the current time period and the user demand.

[0118] During the first time period, the single energy storage unit with the largest battery capacity in the overall energy storage system is discharged based on the single user demand response; the demand quantity value and demand power value are identified based on the multi-user demand, and the overall energy storage units are sorted in ascending order of power; the energy storage units that are matched and sorted based on the demand quantity value and demand power value are discharged.

[0119] During the second time period, based on the single user demand response, the single energy storage unit with the smallest battery capacity in the overall energy storage unit is discharged; based on the multi-user demand, the demand quantity value and the demand power value are identified, and the overall energy storage units are sorted in reverse order of power; the energy storage units that are matched and sorted based on the demand quantity value and the demand power value are discharged.

[0120] It should be noted that in this embodiment, the energy storage system charges and discharges simultaneously, commonly referred to as "bidirectional charging and discharging" or parallel charging and discharging. During the first time period, when the energy storage units are charging and discharging in parallel, the single energy storage unit with the largest battery capacity among all the energy storage units discharges based on the single user's demand response. At this time, the battery capacity of the energy storage unit is low-cost and can be used for commercial discharge to maximize profits. However, based on the identification of demand quantity and demand amount based on multiple user demands, it is necessary to sort the overall energy storage units in ascending order of their power demand and match the sorting based on the demand quantity and demand amount. The energy storage units then discharge, prioritizing the required power quantity. Energy storage units are selected in ascending order based on the required quantity and matched with the units according to their power quantity. For example, if the required quantity is 5, the corresponding required power quantities are "58%, 73%, 64%, 80%, and 92%". Therefore, the energy storage units arranged in ascending order of power quantity are A1, A2, A3, A4, and A5. Accordingly, A1 is paired with 92%, A2 with 80%, A3 with 73%, A4 with 64%, and A5 with 58%.

[0121] According to an embodiment of the present invention, in the process of charge and discharge scheduling management, health management is carried out by combining individual energy storage units and the overall energy storage unit, specifically including:

[0122] Monitor the real-time temperature and output voltage of a single energy storage unit, and perform intelligent control and adjustment based on the real-time temperature to complete the health management of the single energy storage unit;

[0123] Health management is performed based on the combination of the total output power of the overall energy storage device and the output voltage of the individual energy storage devices. The output voltage of the individual energy storage devices is reasonably configured in combination with the total output power to complete the overall energy storage device health management. The configuration methods include vehicle model configuration and / or battery type configuration.

[0124] It should be noted that, in this embodiment, during health management, temperature and voltage can be managed. Specifically, the real-time temperature and output voltage of a single energy storage unit are monitored, and intelligent control adjustment is performed based on the real-time temperature to complete the health management of the single energy storage unit, avoiding excessively high or low temperatures. Simultaneously, health management is performed based on the total output power of the overall energy storage system combined with the output voltage of the individual energy storage units. The output voltage of the individual energy storage units is rationally configured based on the total output power to complete the overall energy storage system health management. Configuration methods include vehicle model configuration and / or battery type configuration. Specifically, the above embodiment describes that power adjustment includes average control or differential control. Power control uses output voltage for regulation. In average control, the average output voltage is obtained based on the current battery type, ensuring that each demand is met under full demand conditions. For differential control, the voltage requirement corresponding to each vehicle is obtained based on the vehicle model configuration, configuring different voltage requirements for different vehicles to better address the charging needs of vehicles from different manufacturers.

[0125] According to an embodiment of the present invention, the operation log of the energy storage device is recorded at a preset period to perform intelligent energy storage prediction and dynamically adjust the management mechanism, specifically including:

[0126] Daily logs are generated by recording the daily charging and discharging scheduling data and health management data of the energy storage units.

[0127] Based on the aforementioned period, the daily logs are mapped to data endpoints to obtain the periodic regularity data of the current period management mechanism.

[0128] A management mechanism is established based on the aforementioned periodic data to predict energy storage activity and dynamically adjust the management for the next cycle.

[0129] It should be noted that, in this embodiment, the daily log is recorded in 24-hour intervals, with a preset cycle of 7 days from Tuesday to Monday. The daily log is recorded by combining the charging and discharging data and health management data of different dates and different time periods on the same date, and mapping the data points on the time axis to obtain the periodic pattern data of the current 7-day cycle management mechanism. Based on the periodic pattern data, intelligent energy storage prediction is performed to dynamically adjust the management mechanism for the next cycle, which is mainly reflected in the power adjustment at different time periods and the selection of the charging time period of the energy storage machine.

[0130] It is worth mentioning that the method also includes renewable energy management, in which renewable energy is used to assist in the configuration when multiple users combine the total output power to reasonably configure the output voltage of a single energy storage unit during the second time period.

[0131] It should be noted that, in this embodiment, since the multi-user power regulation proposed in this application is in two ways, one is average regulation and the other is differential regulation, and since the output power of the power grid is constant, the differential regulation method may be volatile. During the second time period, it is necessary to use renewable energy for auxiliary configuration. By supplying power to renewable energy sources, the power gap can be made up. Accordingly, the renewable energy sources include photovoltaic energy.

[0132] It is worth mentioning that the method also includes integrated management of photovoltaic energy, specifically including:

[0133] During the second time period, when managing the charging and discharging of different energy storage batteries, integrated management is carried out based on the photovoltaic power source. This includes coordinating the relationship between the current photovoltaic power source and the charging load, as well as coordinating the relationship between the current photovoltaic power source and the energy storage battery.

[0134] It should be noted that, in this embodiment, in the traditional method, the photovoltaic power source directly charges the energy storage battery, and then the energy storage battery discharges. However, in this embodiment, during the second time period, especially during the low electricity price period, the photovoltaic power source can discharge the load while the energy storage battery of the energy storage machine discharges the load. The corresponding discharge ratio can be determined based on the current demand quantity. When the demand quantity is greater than or equal to the number of energy storage machines, the ratio is 1:1; when the demand quantity is less than the number of energy storage machines, the ratio is 2:1.

[0135] A third aspect of the present invention provides a computer-readable storage medium comprising an EMS (Energy Management System) intelligent energy storage management method program, wherein when the EMS intelligent energy storage management method program is executed by a processor, it implements the steps of an EMS intelligent energy storage management method as described in any of the preceding claims.

[0136] This invention discloses an EMS (Energy Management System) intelligent energy storage management method, system, and readable storage medium. Under the control and management of the EMS, the energy storage device can be charged and discharged and its health managed. It can effectively schedule energy flow and extend the equipment life while achieving intelligent scheduling and allocation goals through continuous dynamic optimization and adjustment of management measures.

[0137] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0138] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0139] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0140] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0141] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. An EMS (Energy Management System) intelligent energy storage management method, characterized in that, Includes the following steps: Discharge management based on energy storage devices includes adaptive adjustment of discharge power during discharge. Specifically, this includes: obtaining charging load capacity values ​​based on user needs (including single-user and / or multi-user needs); adaptively adjusting discharge power based on these load capacity values; adjusting power based on single-user needs by obtaining the charging power value of a single user and adjusting the discharge power response of a single energy storage device; adjusting power based on multi-user needs by obtaining the type and operating period of multi-user needs to adjust the overall power response of the energy storage device; and multi-objective optimization adjustment by adjusting the target power of a single energy storage device based on the real-time power of the overall energy storage device when adjusting the power response to multi-user needs. The system acquires operational data from different energy storage batteries for charging management. Specifically, it manages the charging of energy storage devices based on preset time periods, which include a first time period and a second time period. The first time period includes periods with low electricity prices, while the second time period includes daytime periods. The charging management also incorporates balanced management based on discharge demand. Specifically, during the second time period, when multiple users are considering the total output power to rationally configure the output voltage of a single energy storage device, renewable energy sources are used for auxiliary configuration. During the charging and discharging scheduling management process, health management is carried out in conjunction with individual energy storage units and the overall energy storage system. Specifically, this includes: monitoring the real-time temperature and output voltage of individual energy storage units, and performing intelligent control and adjustment based on the real-time temperature to complete the health management of individual energy storage units; and performing health management based on the total output power of the overall energy storage system combined with the output voltage of individual energy storage units. Specifically, the output voltage of individual energy storage units is reasonably configured in conjunction with the total output power to complete the health management of the overall energy storage system. The configuration methods include vehicle model configuration and / or battery type configuration. The system records the operation logs of the energy storage unit at a preset cycle, and performs intelligent energy storage prediction to dynamically adjust the management mechanism.

2. The EMS intelligent energy storage management method according to claim 1, characterized in that, Charging management incorporates equalization management based on discharging demand, specifically including: During parallel charging and discharging of the energy storage device, a balance management system is implemented based on the current time period and the user demand. During the first time period, the single energy storage unit with the largest battery capacity in the overall energy storage system is discharged based on the single user demand response; the demand quantity value and demand power value are identified based on the multi-user demand, and the overall energy storage units are sorted in ascending order of power; the energy storage units that are matched and sorted based on the demand quantity value and demand power value are discharged. During the second time period, based on the single user demand response, the single energy storage unit with the smallest battery capacity in the overall energy storage unit is discharged; based on the multi-user demand, the demand quantity value and the demand power value are identified, and the overall energy storage units are sorted in reverse order of power; the energy storage units that are matched and sorted based on the demand quantity value and the demand power value are discharged.

3. The EMS intelligent energy storage management method according to claim 2, characterized in that, Record the operation logs of the energy storage unit at a preset cycle, perform intelligent energy storage forecasting, and dynamically adjust the management mechanism, specifically including: Daily logs are generated by recording the daily charging and discharging scheduling data and health management data of the energy storage units. Based on the aforementioned period, the daily logs are mapped to data endpoints to obtain the periodic regularity data of the current period management mechanism. A management mechanism is established based on the aforementioned periodic data to predict energy storage activity and dynamically adjust the management for the next cycle.

4. An EMS (Energy Management System) intelligent energy storage management system, characterized in that, The system includes a memory and a processor. The memory contains an EMS (Energy Management System) intelligent energy storage management method program. When the processor executes the EMS intelligent energy storage management method program, it performs the following steps: Discharge management based on energy storage devices includes adaptive adjustment of discharge power during discharge. Specifically, this includes: obtaining charging load capacity values ​​based on user needs (including single-user and / or multi-user needs); adaptively adjusting discharge power based on these load capacity values; adjusting power based on single-user needs by obtaining the charging power value of a single user and adjusting the discharge power response of a single energy storage device; adjusting power based on multi-user needs by obtaining the type and operating period of multi-user needs to adjust the overall power response of the energy storage device; and multi-objective optimization adjustment by adjusting the target power of a single energy storage device based on the real-time power of the overall energy storage device when adjusting the power response to multi-user needs. The system acquires operational data from different energy storage batteries for charging management. Specifically, it manages the charging of energy storage devices based on preset time periods, which include a first time period and a second time period. The first time period includes periods with low electricity prices, while the second time period includes daytime periods. The charging management also incorporates balanced management based on discharge demand. Specifically, during the second time period, when multiple users are considering the total output power to rationally configure the output voltage of a single energy storage device, renewable energy sources are used for auxiliary configuration. During the charging and discharging scheduling management process, health management is carried out in conjunction with individual energy storage units and the overall energy storage system. Specifically, this includes: monitoring the real-time temperature and output voltage of individual energy storage units, and performing intelligent control and adjustment based on the real-time temperature to complete the health management of individual energy storage units; and performing health management based on the total output power of the overall energy storage system combined with the output voltage of individual energy storage units. Specifically, the output voltage of individual energy storage units is reasonably configured in conjunction with the total output power to complete the health management of the overall energy storage system. The configuration methods include vehicle model configuration and / or battery type configuration. The system records the operation logs of the energy storage unit at a preset cycle, and performs intelligent energy storage prediction to dynamically adjust the management mechanism.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes an EMS (Energy Management System) intelligent energy storage management method program. When the EMS intelligent energy storage management method program is executed by a processor, it implements the steps of an EMS intelligent energy storage management method as described in any one of claims 1 to 3.

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