Energy storage control method, energy storage control device and microgrid system

Abstract

The invention discloses an energy storage control method, an energy storage control device and a micro-grid system, and belongs to the technical field of energy storage. The method comprises the steps that real-time system data of the micro-grid system in the current time period are acquired, prediction system data of the micro-grid system in the target time period are acquired, the target time period is after the current time period, and the prediction system data are obtained through prediction in the time period before the current time period; under the condition that the security verification of the real-time system data is passed, obtaining integrated system data from the current time period to the target time period based on the real-time system data and the prediction system data; and controlling an energy storage system of the micro-grid system based on the integrated system data. The method can improve the system operation efficiency and the energy utilization rate, reduce the risks of countercurrent, overload and the like, and facilitate the safe and stable operation of the system and the power grid.

Description

Technical Field

[0001] This application belongs to the technical field of energy storage, and particularly relates to an energy storage control method, an energy storage control device, and a microgrid system. Background Art

[0002] With the development of photovoltaic power generation technology, microgrid systems equipped with energy storage devices have been widely used. A microgrid is a small power generation and distribution system composed of power generation sources, energy storage devices, loads, and protection facilities, which can operate in parallel with the external power grid or operate independently. The power generation sources have characteristics such as intermittency and randomness, and the load demand changes dynamically, increasing the complexity of energy storage regulation.

[0003] Existing energy storage regulation methods usually rely on empirical rules, resulting in low system operation efficiency and insufficient energy utilization. In addition, there are also risks such as reverse current and overload, posing potential threats to the safety and stability of the system and the power grid. Summary of the Invention

[0004] This application aims to solve at least one of the technical problems existing in the prior art. For this purpose, this application provides an energy storage control method, an energy storage control device, and a microgrid system, which can improve the system operation efficiency and energy utilization rate, reduce risks such as reverse current and overload, and is conducive to the safe and stable operation of the system and the power grid.

[0005] In a first aspect, this application provides an energy storage control method, which is applied to a microgrid system. The method includes:

[0006] Obtain the real-time system data of the microgrid system in the current period, and obtain the predicted system data of the microgrid system in the target period. The target period is after the current period, and the predicted system data is predicted in a period before the current period;

[0007] When the security verification of the real-time system data passes, based on the real-time system data and the predicted system data, obtain the integrated system data from the current period to the target period;

[0008] Control the energy storage system of the microgrid system based on the integrated system data.

[0009] According to the energy storage control method of this application, by performing security verification on the real-time system data of the current period, when the security verification passes, the real-time system data of the current period and the predicted system data of the target period are integrated to obtain the integrated system data, and the energy storage system is accurately regulated, which can improve the system operation efficiency and energy utilization rate, reduce risks such as reverse current and overload, and is conducive to the safe and stable operation of the system and the power grid.

[0010] According to an embodiment of the present application, the security verification of the real-time system data includes at least one of the verification of the energy storage state of charge, the verification of the charging and discharging power of the energy storage, the verification of the transmission and distribution load, and the verification of the system reverse current.

[0011] According to an embodiment of the present application, the control of the energy storage system of the microgrid system based on the integrated system data includes:

[0012] Obtain the electricity price information of the power grid accessed by the microgrid system;

[0013] Based on the integrated system data and the electricity price information, control the energy storage system with the goal of minimizing the electricity consumption cost of the microgrid system.

[0014] According to an embodiment of the present application, the control of the energy storage system includes:

[0015] In the case where it is determined based on the integrated system data that the power generation power in the target period is less than the load power, control the charging and discharging power of the energy storage system based on the electricity price information to minimize the electricity consumption cost of the microgrid system.

[0016] According to an embodiment of the present application, the control of the energy storage system includes:

[0017] In the case where it is determined based on the integrated system data that the power generation power in the target period is greater than the load power and the state of charge of the energy storage in the current period is greater than or equal to the full charge threshold, control the charging and discharging power of the energy storage system to sell electricity to the power grid accessed by the microgrid system.

[0018] According to an embodiment of the present application, the control of the energy storage system includes:

[0019] In the case where it is determined based on the integrated system data that the power generation power in the target period is greater than the load power and the state of charge of the energy storage in the current period is less than the full charge threshold, control the charging and discharging power of the energy storage system to enable the energy storage system to absorb the surplus power generation in the target period.

[0020] According to an embodiment of the present application, after obtaining the real-time system data of the microgrid system in the current period, the method further includes:

[0021] In the case where the security verification of the real-time system data fails, control the charging and discharging power of the energy storage system based on the real-time system data to make the security verification of the adjusted real-time system data pass.

[0022] According to an embodiment of the present application, the microgrid system includes the energy storage system, the load system, and the power generation system. The real-time system data includes the real-time power generation data of the power generation system, the real-time load data of the load system, and the real-time energy storage data of the energy storage system. The predicted system data includes the predicted power generation data of the power generation system and the predicted load data of the load system.

[0023] According to an embodiment of the present application, the real-time energy storage data includes the number of real-time energy storage adjustable units of the energy storage system, the real-time energy storage charge and discharge power, and the real-time state of charge of the energy storage.

[0024] In a second aspect, the present application provides an energy storage control device, which is applied to a microgrid system. The device includes:

[0025] An acquisition module, configured to acquire the real-time system data of the microgrid system in the current period, and acquire the predicted system data of the microgrid system in the target period. The target period is after the current period, and the predicted system data is predicted from the period before the current period;

[0026] A processing module, configured to obtain integrated system data from the current period to the target period based on the real-time system data and the predicted system data when the security verification of the real-time system data passes;

[0027] A control module, configured to control the energy storage system of the microgrid system based on the integrated system data.

[0028] According to the energy storage control device of the present application, by performing security verification on the real-time system data in the current period, when the security verification passes, the real-time system data in the current period and the predicted system data in the target period are integrated to obtain integrated system data, and the energy storage system is precisely regulated, which can improve the system operation efficiency and energy utilization rate, reduce risks such as reverse current and overload, and is beneficial to the safe and stable operation of the system and the power grid.

[0029] In a third aspect, the present application provides a microgrid system, including:

[0030] An energy storage system, a load system, and a power generation system that are interconnected;

[0031] The energy storage control device as described in the second aspect above, which is connected to the energy storage system and is configured to execute the energy storage control method as described in the first aspect above for the energy storage system.

[0032] According to an embodiment of the present application, the power generation system includes a new energy power generation device.

[0033] Fourthly, the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the energy storage control method described in the first aspect above is implemented.

[0034] Fifthly, the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the energy storage control method described in the first aspect above is implemented.

[0035] Sixthly, the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, the energy storage control method described in the first aspect above is implemented.

[0036] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the description of the embodiments in conjunction with the following drawings, where:

[0038] Figure 1 is one of the schematic flowcharts of the energy storage control method provided by the embodiment of the present application;

[0039] Figure 2 is another schematic flowchart of the energy storage control method provided by the embodiment of the present application;

[0040] Figure 3 is a schematic diagram of the effect comparison before and after the energy storage regulation on a typical day provided by the embodiment of the present application;

[0041] Figure 4 is a schematic diagram of the effect comparison of the anti-counterflow of the gateway meter on a typical day provided by the embodiment of the present application;

[0042] Figure 5 is a schematic diagram of the effect comparison of the daily income of the energy storage before and after the regulation provided by the embodiment of the present application;

[0043] Figure 6 is a schematic structural diagram of the energy storage control device provided by the embodiment of the present application;

[0044] Figure 7 is a schematic structural diagram of the microgrid system provided by the embodiment of the present application;

[0045] Figure 8 is a schematic structural diagram of the electronic device provided by the embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] Next, the technical solutions in the embodiments of the present application will be clearly described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present application.

[0047] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are usually of the same category, and do not limit the number of objects. For example, the first object can be one or multiple. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the associated objects before and after.

[0048] Next, in conjunction with the accompanying drawings, the energy storage control method, energy storage control device 600, microgrid system, electronic device, and readable storage medium provided by the embodiments of the present application will be described in detail through specific embodiments and their application scenarios.

[0049] Among them, the energy storage control method can be applied to a microgrid system.

[0050] The microgrid system of the embodiments of the present application may include an energy storage system 710, a load system 730, and a power generation system 720.

[0051] In some embodiments, the power generation system 720 may include new energy power generation devices, such as photovoltaic power generation devices, wind power generation devices, etc. The power generation system 720 uses new energy such as solar energy and wind energy for power generation, which can effectively reduce carbon emissions and save energy costs.

[0052] The energy storage system 710 is used to store electric energy, the load system 730 is used to consume electric energy, the power generation system 720, the energy storage system 710, and the load system 730 are interconnected. The energy storage system 710 can store the electric energy of the power generation system 720, and can also provide the electric energy stored by itself for the load system 730 to use. The load system 730 can use the electric energy output by the power generation system 720, or can also use the electric energy output by the energy storage system 710.

[0053] It can be understood that the microgrid system is also connected to the power grid, and can use the power grid electric energy for the operation of the load system 730, or can also power off from the power grid and store it in the energy storage system 710, or can also sell the excess electric energy of itself to the power grid.

[0054] The microgrid system can operate in grid-connected mode or independently during power outages. By automatically optimizing and adjusting the power system, it can improve energy utilization efficiency and system stability.

[0055] The energy storage control method provided by the embodiment of this application. The execution subject of this energy storage control method can be an electronic device or a functional module or functional entity in the electronic device that can implement this energy storage control method.

[0056] As Figure 1 shown, this energy storage control method includes: step 110, step 120, and step 130.

[0057] Step 110: Obtain the real-time system data of the microgrid system in the current period, and obtain the predicted system data of the microgrid system in the target period.

[0058] Among them, the target period is after the current period, that is, the target period belongs to a future period.

[0059] In this step, the real-time system data of the microgrid system in the current period can be obtained in real time through the data acquisition device of the microgrid system. Among them, the real-time system data is the system data representing the current operating state of the microgrid system.

[0060] It can be understood that the microgrid system can include an energy storage system 710, a load system 730, and a power generation system 720. The real-time system data can include the system data representing the current operating states of the energy storage system 710, the load system 730, and the power generation system 720.

[0061] In this step, to obtain the predicted system data of the microgrid system in the target period after the current period, methods such as time series analysis, machine learning methods, and microgrid modeling can be used to predict the operating state of the microgrid system in the target period to obtain the predicted system data of the target period.

[0062] It should be noted that the microgrid system can include an energy storage system 710, a load system 730, and a power generation system 720. The predicted system data can include the system data representing the operating states of the load system 730 and the power generation system 720 in the target period.

[0063] In this embodiment, the predicted system data is predicted in a period before the current period, that is, before obtaining the real-time system data of the microgrid system in the current period, the prediction of the predicted system data of the microgrid system in the target period has been completed, which can reduce the system processing volume and improve the operating efficiency of energy storage regulation.

[0064] In actual execution, predictions can be made based on the historical power generation data, historical load data, etc. actually collected by the microgrid system, effectively improving the prediction accuracy and precision of the predicted system data.

[0065] For example, when the current time period is from 10:00 to 11:00 on a certain day, the real-time system data from 10:00 to 11:00 is obtained in real time through the data acquisition device of the microgrid system.

[0066] In this embodiment, the target time period is from 11:00 to 13:00 on this day. The predicted system data from 0:00 to 24:00 on this day is all predicted on the previous day, and the predicted system data from 11:00 to 13:00 can be directly obtained.

[0067] Step 120: When the security verification of the real-time system data passes, based on the real-time system data and the predicted system data, the integrated system data from the current time period to the target time period is obtained.

[0068] In this step, the security verification of the real-time system data can be performed. When the security verification of the real-time system data passes, the real-time system data and the predicted system data are spliced to obtain the integrated system data from the current time period to the target time period.

[0069] Among them, for the security verification of the real-time system data, the real-time system data is compared with the preset security threshold or the rated operating parameters of each device to ensure that each device of the microgrid system can operate safely and stably, prevent phenomena such as reverse current and overload, and avoid the microgrid system affecting the stability of the power grid.

[0070] It should be noted that the integrated system data is obtained by splicing the real-time system data and the predicted system data. Splicing means that the same type of data is arranged in time sequence to form a system data sequence.

[0071] For example, when the current time period is from 10:00 to 11:00 on a certain day and the target time period is from 11:00 to 13:00 on this day, the security verification of the real-time system data from 10:00 to 11:00 is performed. When the security verification passes, the real-time system data and the predicted system data are spliced to obtain the integrated system data from 10:00 to 13:00 on this day.

[0072] In this embodiment, the real-time system data may include real-time power generation data, real-time load data, and real-time energy storage data, and the predicted system data may include predicted power generation data and predicted load data. The real-time power generation data and the predicted power generation data are spliced, and the real-time load data and the predicted load data are spliced.

[0073] Step 130: Based on the integrated system data, the energy storage system 710 of the microgrid system is controlled.

[0074] It can be understood that the real-time system data is acquired in real time, and the predicted system data is predicted in advance. The integrated system data obtained by splicing the real-time system data and the predicted system data is continuously updated as the real-time system data changes. Based on the integrated system data, the energy storage system 710 can be accurately controlled to improve the system operation efficiency and energy utilization.

[0075] In this embodiment, safety verification is performed through real-time system data to reduce the risks of reverse flow and overload in the microgrid system. The real-time system data and the predicted system data are integrated to obtain integrated system data, and accurate instant energy storage regulation is achieved, which is beneficial to the safe and stable operation of the microgrid system and the power grid.

[0076] In actual implementation, controlling the energy storage system 710 of the microgrid system may be controlling the charging and discharging power of the energy storage system 710 , and issuing corresponding charging and discharging power control instructions to the energy storage units of the energy storage system 710 based on the integrated system data.

[0077] In related technologies, the method of optimizing prediction algorithms is usually adopted to improve the accuracy of predicting load demand and adjust the energy storage task according to the prediction results. This method still has deviations caused by prediction accuracy, and energy storage regulation is prone to over-charging or under-charging of energy storage. This method also does not consider the safety issues of energy storage regulation, and is prone to backflow and overload, which have an adverse impact on the stability of the system and the power grid.

[0078] In the embodiment of the present application, before actual regulation, the real-time system data is firstly checked for safety to reduce the risks of reverse flow, overload, etc., and to ensure the safe operation of each device in the microgrid system. The real-time system data collected in real time is continuously updated, and the integrated system data is obtained by integrating the real-time system data and the prediction system data, which effectively reduces the impact of the prediction deviation, and can achieve more accurate regulation of the energy storage system 710 in the microgrid system. Among them, the prediction system data is predicted in advance, which can reduce the calculation amount of the instant regulation of the energy storage, and effectively improve the operation efficiency of the energy storage regulation.

[0079] According to the energy storage control method provided in the embodiment of the present application, by performing a safety check on the real-time system data of the current time period, when the safety check passes, the real-time system data of the current time period and the predicted system data of the target time period are integrated to obtain the integrated system data, and the energy storage system 710 is precisely regulated, which can improve the system operation efficiency and energy utilization rate, reduce the risks of reverse flow, overload, etc., and is conducive to the safe and stable operation of the system and the power grid.

[0080] In some embodiments, the real-time system data includes real-time power generation data of the power generation system 720 , real-time load data of the load system 730 , and real-time energy storage data of the energy storage system 710 .

[0081] Among them, the real-time power generation data may refer to the power value of the current power generation of the power generation system 720 (i.e., the power generation power), and the real-time load data may refer to the power value of the current power consumption of the load system 730 (i.e., the load power).

[0082] In some embodiments, the real-time energy storage data includes the number of real-time adjustable energy storage units of the energy storage system 710, the real-time energy storage charge and discharge power, and the real-time state of charge of the energy storage.

[0083] In this embodiment, the number of real-time adjustable energy storage units may refer to the number of energy storage units that can be adjusted by the energy storage system 710 currently.

[0084] For example, the energy storage system 710 may include 10 energy storage units, among which 5 energy storage units are in a fully charged state. If it is necessary to charge the energy storage system 710 in the current period, the other 5 energy storage units can be charged, and the number of real-time adjustable energy storage units is 5.

[0085] Among them, the real-time energy storage charge and discharge power may refer to the power value of the current charge and discharge of the energy storage system 710. If the energy storage system 710 is currently in a discharging state, the real-time energy storage charge and discharge power is the real-time energy storage discharge power. If the energy storage system 710 is currently in a charging state, the real-time energy storage charge and discharge power is the real-time energy storage charging power.

[0086] It can be understood that the energy storage system 710 may include multiple energy storage units. In the current period, some energy storage units can be charged, and some energy storage units can be discharged. The real-time energy storage charge and discharge power may include the current charge and discharge power of each energy storage unit.

[0087] The real-time state of charge of the energy storage can refer to the state of charge (State of Charge, SOC) of the energy storage system 710 currently. The real-time state of charge of the energy storage can be the ratio of the current remaining capacity of the energy storage system 710 to the capacity in a fully charged state.

[0088] In some embodiments, the prediction system data includes the predicted power generation data of the power generation system 720 and the predicted load data of the load system 730.

[0089] Among them, the predicted power generation data may refer to the power value of the expected power generation of the power generation system 720 in the target period (i.e., the power generation power), and the predicted load data may refer to the power value of the expected power consumption of the load system 730 in the target period (i.e., the load power).

[0090] In some embodiments, the security verification of the real-time system data includes at least one of the state of charge verification of the energy storage, the charge and discharge power verification of the energy storage, the transmission and distribution load verification, and the system backflow verification.

[0091] Among them, the verification of the energy storage state of charge refers to comparing the real-time energy storage state of charge in the real-time system data with the upper safety limit value of the energy storage state of charge of the energy storage system 710 and the lower safety limit value of the energy storage state of charge of the energy storage system 710 to determine whether the real-time energy storage state of charge of the energy storage system 710 exceeds the safety limit value.

[0092] When the real-time energy storage state of charge of the energy storage system 710 is within the upper and lower safety limit values of the energy storage state of charge of the energy storage system 710, the verification of the energy storage state of charge passes. When the real-time energy storage state of charge of the energy storage system 710 exceeds the upper safety limit value or the lower safety limit value of the energy storage state of charge of the energy storage system 710, the verification of the energy storage state of charge fails.

[0093] It can be understood that when the real-time energy storage state of charge of the energy storage system 710 exceeds the safety limit value, there is a risk of overcharging or over-discharging in the energy storage system 710, which may seriously damage the equipment. Conducting the verification of the energy storage state of charge can avoid overcharging or over-discharging of the energy storage system 710, reduce equipment damage, and is beneficial to extending the service life of the equipment.

[0094] In actual implementation, the verification of the energy storage state of charge can be carried out for each energy storage unit in the energy storage system 710 to determine whether the real-time energy storage state of charge of each energy storage unit exceeds the corresponding safety limit value.

[0095] The verification of the energy storage charge and discharge power refers to comparing the real-time charge and discharge power in the real-time system data with the upper safety limit value of the energy storage charge and discharge power of the energy storage system 710 and the lower safety limit value of the energy storage charge and discharge power of the energy storage system 710 to determine whether the real-time charge and discharge power of the energy storage system 710 exceeds the safety limit value.

[0096] When the real-time energy storage charge and discharge power of the energy storage system 710 is within the upper and lower safety limit values of the energy storage charge and discharge power of the energy storage system 710, the verification of the energy storage charge and discharge power passes. When the real-time energy storage charge and discharge power of the energy storage system 710 exceeds the upper safety limit value or the lower safety limit value of the energy storage charge and discharge power of the energy storage system 710, the verification of the energy storage charge and discharge power fails.

[0097] It can be understood that when the real-time charge and discharge power of the energy storage system 710 exceeds the safety limit value, phenomena such as reverse current may occur, interfering with the stability of the microgrid system and the power grid. Conducting the verification of the energy storage charge and discharge power can effectively reduce the reverse current risk and ensure the safe and stable operation of the microgrid system.

[0098] The verification of the transmission and distribution load refers to comparing the real-time load of the transmission and distribution equipment in the microgrid system with the safety limit values such as the rated load and the rated overload to determine whether the real-time load of the transmission and distribution equipment exceeds the safety limit value. Conducting the verification of the transmission and distribution load can effectively reduce the overload risk and ensure the safe and stable operation of the microgrid system.

[0099] Among them, the power transmission and distribution equipment is the equipment for distributing and transmitting electric energy in the microgrid system. For example, equipment such as transformers and distribution cabinets.

[0100] In actual implementation, the real-time load of the transformer can be collected, and the real-time load is compared with the rated load of the transformer to determine whether the transformer is overloaded.

[0101] System reverse current verification refers to real-time monitoring of the electric energy transmission between the microgrid system and the power grid. When the electric energy of the microgrid system is transmitted to the power grid, it indicates that reverse current occurs in the microgrid system.

[0102] In actual implementation, the data of the gateway meter at the connection point where the microgrid system accesses the power grid can be used to determine whether reverse current occurs in the microgrid system. The gateway meter is used to record the total power consumption of the microgrid system.

[0103] It should be noted that safety verification can be performed through data such as energy storage charge and discharge power and gateway meter power consumption to determine whether there is a reverse current risk in the microgrid system.

[0104] In actual implementation, when performing safety verification on real-time system data, if there are safety hazards such as overcharging, over-discharging, reverse current, and overload, an alarm can be output and the energy storage system 710 can be regulated to protect the relevant equipment safely.

[0105] In some embodiments, after obtaining the real-time system data of the microgrid system at the current time period, the energy storage control method may further include:

[0106] In the case where the safety verification of the real-time system data fails, based on the real-time system data, the charge and discharge power of the energy storage system 710 is regulated so that the safety verification of the regulated real-time system data passes.

[0107] In this embodiment, when the safety verification of the real-time system data fails, energy storage regulation is performed according to the real-time system data so that the safety verification of the regulated real-time system data passes, in order to eliminate safety hazards such as reverse current and overload existing in the microgrid system currently.

[0108] For example, real-time system data such as real-time power generation data, real-time load data, real-time number of energy storage adjustable units, real-time energy storage charge and discharge power, and real-time energy storage state of charge are obtained.

[0109] Safety verification of the real-time system data is performed based on the rated values of the transformer, the rated values of the energy storage, the rated installed values of the power generation equipment, etc., including energy storage state of charge verification, energy storage charge and discharge power verification, power transmission and distribution load verification, and system reverse current verification, etc.

[0110] In this embodiment, safety verification is performed. If there are safety hazards such as overcharging, over-discharging, reverse current, or overload, an alarm can be output, and according to the real-time system data, the charging and discharging power of the energy storage system 710 can be regulated to eliminate the safety hazards and protect the relevant equipment.

[0111] Taking the example that the real-time energy storage discharging power of a certain energy storage unit exceeds the safety upper limit value of the discharging power, according to the real-time energy storage discharging power of this energy storage unit, the charging and discharging power of this energy storage unit is regulated to reduce the energy storage discharging power of the energy storage unit, avoid reverse current, and ensure the safe and stable operation of the microgrid system and the power grid.

[0112] Taking the example that the real-time state of charge of a certain energy storage unit exceeds the safety upper limit value of the state of charge, according to the real-time state of charge of this energy storage unit, the charging and discharging power of this energy storage unit is regulated so that the energy storage unit discharges until the real-time state of charge is less than the safety upper limit value of the state of charge, avoid reverse current, and ensure the safe and stable operation of the microgrid system and the power grid. In some embodiments, controlling the energy storage system 710 of the microgrid system based on integrating system data may include:

[0113] Obtain the electricity price information of the power grid accessed by the microgrid system;

[0114] Based on the integrated system data and electricity price information, with the goal of minimizing the electricity consumption cost of the microgrid system, control the energy storage system 710.

[0115] In actual implementation, the electricity price information of the power grid may include information such as the on-grid electricity price for the microgrid system to sell electricity to the power grid and the purchase electricity price for the microgrid system to draw electricity from the power grid.

[0116] In this embodiment, combining the integrated system data and electricity price information, calculate the electricity consumption costs of various power supply schemes for the microgrid system to meet the current electricity load. With the goal of minimizing the electricity consumption cost of the microgrid system, regulate the energy storage system 710 to achieve maximum economy.

[0117] For example, the power supply schemes for the microgrid system to meet the current electricity load include A, B, and C.

[0118] Scheme A is to use the power generation system 720 to generate electricity and the energy storage system 710 to discharge to supply power to the load system 730. Scheme B is to use the power generation system 720 to generate electricity and draw electricity from the power grid to supply power to the load system 730, and the energy storage system 710 does not discharge. Scheme C is to draw electricity from the power grid to supply power to the load system 730, and the power generation system 720 generates electricity and outputs it to the energy storage system 710.

[0119] In this embodiment, combining the integrated system data and electricity price information, it is obtained that the electricity consumption cost of the microgrid system corresponding to Scheme A is the smallest. According to Scheme A, control the energy storage system 710 to discharge.

[0120] In some embodiments, controlling the energy storage system 710 includes:

[0121] When it is determined based on the integrated system data that the power generation power in the target period is less than the load power, the charge-discharge power of the energy storage system 710 is regulated to minimize the electricity consumption cost of the microgrid system.

[0122] In this embodiment, according to the integrated system data, the magnitude relationship between the power generation power and the load power in the target period can be judged, that is, it is judged whether the power generation of the power generation system 720 in the target period can support the operation of the load system 730.

[0123] When the power generation power in the target period is less than the load power, the power generation of the power generation system 720 is insufficient to support the operation of the load system 730, and there is no reverse current situation in the microgrid system. The charge-discharge power of the energy storage system 710 can be directly controlled with the goal of minimizing the electricity consumption cost of the microgrid system by combining the integrated system data and the electricity price information. The electric energy of the energy storage system 710 is used to supply the operation of the load system 730, or electricity is purchased from the power grid to supply the operation of the load system 730, so as to maximize the economy of the microgrid system.

[0124] In actual execution, controlling the energy storage system 710 can output the energy storage regulation power for the next period at preset intervals to control the charge-discharge power of the energy storage system 710 to minimize the electricity consumption cost of the microgrid system.

[0125] In some embodiments, controlling the energy storage system 710 includes:

[0126] When it is determined based on the integrated system data that the power generation power in the target period is greater than the load power and the state of charge of the energy storage at the current period is greater than or equal to the full charge threshold, the charge-discharge power of the energy storage system 710 is regulated to sell electricity to the power grid connected to the microgrid system.

[0127] In this embodiment, according to the integrated system data, it is judged that the power generation power in the target period is greater than the load power, and reverse current may occur in the microgrid system. At this time, the state of charge of the energy storage at the current period is judged. When the state of charge of the energy storage at the current period is greater than or equal to the full charge threshold, it indicates that the energy storage system 710 is already full and the energy storage system 710 can no longer absorb electric energy.

[0128] In actual execution, when the power generation power in the target period is greater than the load power and the state of charge of the energy storage at the current period is greater than or equal to the full charge threshold, the integrated system data and the electricity price information can be combined to regulate the energy storage system 710 to sell electricity to the connected power grid, increase the revenue of the microgrid system, and make the energy storage system 710 maintain an optimal control with maximum economy.

[0129] For example, if the feed-in tariff is high, part or all of the electric energy generated by the power generation system 720 can be sold to the power grid, the energy storage system 710 can be controlled to discharge, so as to meet the load demand of the load system 730 and increase the revenue of the microgrid system.

[0130] In some embodiments, controlling the energy storage system 710 includes:

[0131] When it is determined based on the integrated system data that the power generation power in the target period is greater than the load power and the state of charge of the energy storage system at the current time is less than the full charge threshold, the charge and discharge power of the energy storage system 710 is regulated so that the energy storage system 710 can absorb the surplus power generation in the target period.

[0132] In this embodiment, according to the integrated system data, when it is judged that the power generation power in the target period is greater than the load power and the state of charge of the energy storage system at the current time is less than the full charge threshold, it indicates that the energy storage system 710 is not fully charged. According to the integrated system data, the surplus power generation of the power generation system 720 in the target period can be calculated, and the charge and discharge power of the energy storage system 710 can be controlled to reserve the corresponding capacity in the energy storage system 710, so as to achieve the absorption of surplus power generation and the saving of energy storage charging costs, and limit the reverse current situation of the microgrid system due to excessive power generation.

[0133] In actual implementation, the surplus power generation can be equal to the total power generation of the power generation system 720 in the target period minus the power supplied to the load system 730 and the power grid.

[0134] Taking the power generation system 720 as a photovoltaic power generation device as an example, a specific embodiment is introduced.

[0135] As Figure 2 shown, the real-time data interface is used to transmit real-time system data, which can be sampled at a sampling frequency of 1 time / minute within a day. The real-time system data can include real-time photovoltaic power generation data, real-time load data, real-time number of adjustable energy storage units, real-time energy storage charge and discharge power, and real-time state of charge of the energy storage, etc.

[0136] The optical power prediction service interface is used to transmit predicted photovoltaic power generation data, and the load power prediction service interface is used to transmit predicted load data. The data of optical power prediction and load power prediction are accessed and stored before the day, that is, the prediction is completed in the period before the current day.

[0137] The real-time system data is safely verified according to the rated values of the transformer, the rated values of the energy storage units, the rated values of the photovoltaic installations, etc., including the upper and lower limits of the energy storage SOC verification, the maximum charge and discharge power verification of the energy storage, the transformer load verification, and the reverse current verification of the gateway meter.

[0138] If a certain verification of the real-time system data fails during the security verification, it indicates that there are corresponding security hazards (such as overcharging, over-discharging, overload, reverse current, etc.) in the microgrid system. When a security hazard occurs, a real-time alarm will be issued, and the energy storage will be directly regulated to charge and discharge as needed to protect the safety of related equipment.

[0139] If there are no security hazards such as overload and reverse current in real time, the real-time power and the predicted data for the remaining time of the day will be spliced to obtain the integrated system data. Combining with the electricity price information, the regulation will be carried out with the goal of maximizing the economy of the remaining time of the day.

[0140] In actual implementation, whether the predicted photovoltaic output exceeds the predicted load data will also be considered during the regulation process, which may lead to the situation of reverse current.

[0141] If there is no longer reverse current in the photovoltaic, the energy storage will be regulated according to the peak-valley-flat electricity price to optimize the economy maximally, and the energy storage regulation power for the next moment will be output every 5 minutes.

[0142] If there is reverse current in the photovoltaic, it is judged whether the energy storage system 710 is full. If the energy storage system 710 is already full, the photovoltaic reverse current will be fed into the grid for power sales, and the energy storage system 710 will maintain the economy maximization optimization. If the current energy storage system 710 is not full, the remaining power generation power of the photovoltaic will be calculated based on the predicted data of the remaining time of the photovoltaic and the load, and the corresponding quota will be reserved in the energy storage system 710 to achieve the full consumption of the excess output of the photovoltaic and the saving of the energy storage charging cost.

[0143] The energy storage regulation method of the embodiment of the present application has been actually put into use in a certain factory project. Before the energy storage regulation method was connected to this project, time-sharing control was adopted, and the energy storage was charged and discharged at a set value within a fixed period, and arbitrage was carried out through the peak-valley electricity price difference. The load of this project has a certain regularity. After 4 pm, the load in the factory area will decrease significantly, and the low-load period and the energy storage discharge period highly coincide, which is likely to cause waste or insufficiency of the energy storage discharge power.

[0144] Figure 3 The figure shows the comparison diagram of the effects of energy storage regulation before and after for a typical day of this project. The red line represents the performance of the energy storage power before regulation, the blue line represents the performance of the energy storage power after regulation by the energy storage regulation method of the embodiment of the present application, the green line represents the load power, and the purple line represents the photovoltaic output.

[0145] As Figure 3 shown, after adjusting with the energy storage regulation method of the embodiment of the present application, the energy storage discharge period can intelligently track the actual load, and there will be no over-discharge situation before the algorithm regulation, that is, it increases the economic benefit and ensures that there is no reverse current phenomenon in the gateway meter.

[0146] Figure 4The figure shows a schematic diagram of the comparison of the anti-counterflow effect of the gateway meter on a typical day of the project. The blue line represents the performance of the gateway meter power before regulation, and the orange line represents the performance of the gateway meter power after regulation by the energy storage regulation method of the embodiment of the present application.

[0147] As Figure 4 shown, during the energy storage discharge period in the evening, before the energy storage regulation method was connected, there were long-term negative values in the real-time load data collected by the gateway meter, that is, the reverse current phenomenon occurred during the energy storage discharge; after the energy storage regulation method was connected, the original reverse current phenomenon basically disappeared, and the energy storage effectively tracked the real-time load through intelligent regulation, realizing the anti-counterflow function.

[0148] Figure 5 The figure shows a schematic diagram of the comparison of the daily energy storage income effect before and after the regulation of the project. The blue block represents the daily energy storage income before regulation, and the red block represents the daily energy storage income after regulation by the energy storage regulation method of the embodiment of the present application.

[0149] As Figure 5 shown, the daily energy storage income after regulation by the energy storage regulation method has increased compared with the daily energy storage income before regulation. The economic benefits brought by the energy storage regulation method are significant. During the 14 days of test evaluation, the energy storage income increased by about 31,176 yuan in total, and the daily average increased by about 2,226 yuan.

[0150] The energy storage control method provided by the embodiment of the present application first performs a safety verification on the real-time system data before actual regulation, reduces risks such as reverse current and overload, ensures the safe operation of each device in the microgrid system. The real-time system data collected in real time is continuously updated. By integrating the real-time system data and the predicted system data, the impact brought by the prediction deviation can be effectively reduced, more accurate regulation of the energy storage system 710 in the microgrid system can be achieved, the system operation efficiency and energy utilization rate can be improved, and the economic benefits can also be improved.

[0151] For the energy storage control method provided by the embodiment of the present application, the execution subject may be the energy storage control device 600. In the embodiment of the present application, taking the energy storage control device 600 executing the energy storage control method as an example, the energy storage control device 600 provided by the embodiment of the present application is described.

[0152] The embodiment of the present application also provides an energy storage control device 600, and the energy storage control device 600 is applied to a microgrid system.

[0153] As Figure 6 shown, the energy storage control device 600 includes:

[0154] An acquisition module 610, configured to acquire the real-time system data of the microgrid system in the current period, and acquire the predicted system data of the microgrid system in the target period, the target period is after the current period, and the predicted system data is predicted from the period before the current period;

[0155] A processing module 620, configured to obtain integrated system data from the current time period to a target time period based on real-time system data and prediction system data when the security verification of the real-time system data passes.

[0156] A control module 630, configured to control the energy storage system 710 of the microgrid system based on the integrated system data.

[0157] According to the energy storage control device 600 provided by the embodiment of the present application, by performing security verification on the real-time system data of the current time period, when the security verification passes, the real-time system data of the current time period and the prediction system data of the target time period are integrated to obtain integrated system data, and the energy storage system 710 is accurately regulated, which can improve the system operation efficiency and energy utilization rate, reduce risks such as reverse current and overload, and is beneficial to the safe and stable operation of the system and the power grid.

[0158] In some embodiments, the security verification of the real-time system data includes at least one of energy storage state of charge verification, energy storage charge and discharge power verification, transmission and distribution load verification, and system reverse current verification.

[0159] In some embodiments, the control module 630, configured to control the energy storage system 710 of the microgrid system based on the integrated system data, includes:

[0160] Obtaining the electricity price information of the power grid accessed by the microgrid system;

[0161] Based on the integrated system data and the electricity price information, controlling the energy storage system 710 with the goal of minimizing the electricity consumption cost of the microgrid system.

[0162] In some embodiments, the control module 630, configured to control the energy storage system 710, includes:

[0163] When it is determined based on the integrated system data that the power generation power in the target time period is less than the load power, regulating the charge and discharge power of the energy storage system 710 to minimize the electricity consumption cost of the microgrid system.

[0164] In some embodiments, the control module 630, configured to control the energy storage system 710, includes:

[0165] When it is determined based on the integrated system data that the power generation power in the target time period is greater than the load power and the state of charge of the energy storage at the current time period is greater than or equal to the full charge threshold, regulating the charge and discharge power of the energy storage system 710 to sell electricity to the power grid accessed by the microgrid system.

[0166] In some embodiments, the control module 630, configured to control the energy storage system 710, includes:

[0167] Based on the integrated system data, when it is determined that the power generation power in the target period is greater than the load power and the state of charge of the energy storage system in the current period is less than the full charge threshold, the charge and discharge power of the energy storage system 710 is regulated so that the energy storage system 710 absorbs the surplus power generation in the target period.

[0168] In some embodiments, after obtaining the real-time system data of the microgrid system in the current period, the control module 630 is further configured to, when the security verification of the real-time system data fails, regulate the charge and discharge power of the energy storage system 710 based on the real-time system data so that the security verification of the regulated real-time system data passes.

[0169] In some embodiments, the microgrid system includes an energy storage system 710, a load system 730, and a power generation system 720, and the real-time system data includes the real-time power generation data of the power generation system 720, the real-time load data of the load system 730, and the real-time energy storage data of the energy storage system 710.

[0170] In some embodiments, the real-time energy storage data includes the number of real-time adjustable units of the energy storage system 710, the real-time charge and discharge power of the energy storage, and the state of charge of the energy storage system.

[0171] In some embodiments, the microgrid system includes an energy storage system 710, a load system 730, and a power generation system 720, and the predicted system data includes the predicted power generation data of the power generation system 720 and the predicted load data of the load system 730.

[0172] The energy storage control device 600 in the embodiments of the present application can be an electronic device or a component in an electronic device, such as an integrated circuit or a chip.

[0173] The energy storage control device 600 provided in the embodiments of the present application can implement each process implemented by the above-mentioned energy storage control method embodiments. To avoid repetition, it will not be elaborated here.

[0174] The embodiments of the present application further provide a microgrid system.

[0175] As Figure 7 shown, the microgrid system includes an interconnected energy storage system 710, a load system 730, and a power generation system 720. The microgrid system further includes the energy storage control device 600 as described above. The energy storage control device 600 is connected to the energy storage system 710, and the energy storage control device 600 is configured to execute the energy storage control method as described above to control the energy storage system 710.

[0176] In some embodiments, the power generation system 720 includes a new energy power generation device.

[0177] For example, the power generation system 720 may include a photovoltaic power generation device, a wind power generation device, etc. The power generation system 720 generates electricity using new energy sources such as solar energy and wind energy, which can effectively reduce carbon emissions and save energy costs.

[0178] The energy storage system 710 is used to store electric energy, and the load system 730 is used to consume electric energy. The power generation system 720, the energy storage system 710, and the load system 730 are interconnected. The energy storage system 710 can store the electric energy of the power generation system 720, and can also supply the electric energy stored by itself to the load system 730 for use. The load system 730 can use the electric energy output by the power generation system 720, or can also use the electric energy output by the energy storage system 710.

[0179] It can be understood that the microgrid system is also connected to the power grid. It can use the power grid electric energy for the operation of the load system 730, or can also disconnect from the power grid and store it in the energy storage system 710, or can sell its excess electric energy to the power grid.

[0180] The microgrid system can operate in parallel with the grid or can operate independently during power outages. By automatically optimizing and adjusting the power system, the energy utilization efficiency and system stability can be improved.

[0181] According to the microgrid system provided by the embodiments of the present application, by performing a security verification on the real-time system data of the current time period, when the security verification passes, the real-time system data of the current time period and the predicted system data of the target time period are integrated to obtain integrated system data, and precise control of the energy storage system 710 is performed, which can improve the system operation efficiency and energy utilization rate, reduce risks such as reverse current and overload, and is beneficial to the safe and stable operation of the system and the power grid.

[0182] In some embodiments, as Figure 8 shown, the embodiments of the present application also provide an electronic device 800, including a processor 801, a memory 802, and a computer program stored on the memory 802 and executable on the processor 801. When the program is executed by the processor 801, it implements each process of the above-mentioned energy storage control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0183] It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

[0184] The embodiments of the present application also provide a non-transitory computer-readable storage medium. A computer program is stored on the non-transitory computer-readable storage medium. When the computer program is executed by a processor, it implements each process of the above-mentioned energy storage control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0185] Among them, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes computer-readable storage media such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disc, etc.

[0186] An embodiment of the present application further provides a computer program product, including a computer program, which when executed by a processor implements the above energy storage control method.

[0187] Among them, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes computer-readable storage media such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disc, etc.

[0188] Another embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement each process of the above energy storage control method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0189] It should be understood that the chip mentioned in the embodiment of the present application may also be referred to as a system-on-chip, system chip, chip system, or system-on-chip, etc.

[0190] It should be noted that in this article, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the methods and devices in the embodiments of the present application are not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0191] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0192] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific implementation manners. The above specific implementation manners are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them belong to the protection scope of the present application.

[0193] In the description of this specification, the description of reference terms such as "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0194] Although the embodiments of the present application have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and purposes of the present application. The scope of the present application is defined by the claims and their equivalents.

Claims

1. A method for controlling energy storage, characterized in that: The method is applied to a microgrid system, and the method comprises: Acquire real-time system data of the microgrid system in a current period, and acquire predicted system data of the microgrid system in a target period, wherein the target period is after the current period, and the predicted system data is obtained by predicting a period before the current period; In the case where the security verification of the real-time system data is passed, obtaining integrated system data from the current period to the target period based on the real-time system data and the predicted system data; Based on the integrated system data, the energy storage system of the microgrid system is controlled.

2. The energy storage control method according to claim 1, characterized in that: The safety verification of the real-time system data includes at least one of energy storage charge state verification, energy storage charging and discharging power verification, power transmission and distribution load verification and system reverse flow verification.

3. The energy storage control method according to claim 1, characterized in that: The controlling the energy storage system of the microgrid system based on the integrated system data includes: Obtaining electricity price information of the power grid to which the microgrid system is connected; Based on the integrated system data and the electricity price information, the energy storage system is controlled with the goal of minimizing the electricity cost of the microgrid system.

4. The energy storage control method according to claim 3, characterized in that: The controlling of the energy storage system includes: When it is determined based on the integrated system data that the generated power in the target time period is less than the load power, the charging and discharging power of the energy storage system is regulated based on the electricity price information to minimize the electricity cost of the microgrid system.

5. The energy storage control method according to claim 3, characterized in that: The controlling of the energy storage system includes: When it is determined based on the integrated system data that the power generation power in the target time period is greater than the load power, and the energy storage charge state in the current time period is greater than or equal to the full charge threshold, the charge and discharge power of the energy storage system is regulated to sell electricity to the power grid to which the microgrid system is connected.

6. The energy storage control method according to claim 3, characterized in that: The controlling of the energy storage system includes: When it is determined based on the integrated system data that the power generation power in the target time period is greater than the load power, and the energy storage charge state in the current time period is less than the full charge threshold, the charge and discharge power of the energy storage system is regulated so that the energy storage system can absorb the surplus power generated in the target time period.

7. The energy storage control method according to claim 1, characterized in that: After acquiring the real-time system data of the microgrid system in the current period, the method further includes: In the case that the safety verification of the real-time system data fails, the charging and discharging power of the energy storage system is regulated based on the real-time system data so that the safety verification of the regulated real-time system data passes.

8. The energy storage control method according to any one of claims 1 to 7, characterized in that: The microgrid system includes the energy storage system, the load system and the power generation system. The real-time system data includes the real-time power generation data of the power generation system, the real-time load data of the load system and the real-time energy storage data of the energy storage system. The prediction system data includes the predicted power generation data of the power generation system and the predicted load data of the load system.

9. The energy storage control method according to claim 8, characterized in that: The real-time energy storage data includes the real-time number of energy storage controllable units, the real-time energy storage charging and discharging power and the real-time energy storage charge state of the energy storage system.

10. An energy storage control device, characterized in that: The device is applied to a microgrid system, and comprises: An acquisition module, used to acquire real-time system data of the microgrid system in a current period, and to acquire predicted system data of the microgrid system in a target period, wherein the target period is after the current period, and the predicted system data is obtained by predicting a period before the current period; A processing module, configured to obtain integrated system data from the current period to the target period based on the real-time system data and the predicted system data when the security verification of the real-time system data passes; A control module is used to control the energy storage system of the microgrid system based on the integrated system data.

11. A microgrid system, characterized in that: include: Interconnected energy storage systems, load systems and power generation systems; The energy storage control device according to claim 10 is connected to the energy storage system, and is used to execute the energy storage control method according to any one of claims 1 to 9 on the energy storage system.

12. The microgrid system according to claim 11, characterized in that: The power generation system includes a new energy power generation device.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the energy storage control method as described in any one of claims 1-9 is implemented.

14. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the energy storage control method as described in any one of claims 1 to 9 is implemented.

15. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the energy storage control method according to any one of claims 1 to 9 is implemented.

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