Optimization control method and apparatus for hybrid energy storage device of offshore wind power system, and device and medium

Abstract

Provided are an optimization control method and apparatus for a hybrid energy storage device of an offshore wind power system, and a device and a storage medium. The method comprises: on the basis of an energy storage device state-of-charge value of each energy storage device, calculating a charging coefficient and a discharging coefficient which correspond to each energy storage device; on the basis of a storage battery state-of-charge value and a super-capacitor state-of-charge value in each energy storage device, obtaining a power distribution policy for performing energy exchange between a storage battery and a super-capacitor in each energy storage device; and on the basis of a grid-connected power equalization configuration model, and with the objective of minimizing the total throughput power of a hybrid energy storage device, taking into account the charging coefficient, the discharging coefficient and the power distribution policy to obtain an optimization control scheme for the hybrid energy storage device, and on the basis of the optimization control scheme for the hybrid energy storage device, performing optimization control on the hybrid energy storage device of an offshore wind power system. Therefore, optimization control can be performed on a hybrid energy storage device, thereby enhancing the wind power utilization rate and the system operation stability of an offshore wind power system.

Description

Optimal control method, device and equipment of hybrid energy storage device of offshore wind power system and medium TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy power generation system control, and particularly relates to an optimal control method, device and equipment of a hybrid energy storage device of an offshore wind power system and a medium. BACKGROUND

[0002] The development of offshore wind power systems is an important part of global energy transformation and renewable energy development. Global offshore wind power installed capacity has grown significantly, and is expected to continue to grow rapidly in the coming years. Offshore wind power project site selection trends are moving towards larger scale, further from the coast, and deeper water to take advantage of better wind resources and reduce the impact on the nearshore environment.

[0003] Among them, the application of hybrid energy storage devices in offshore wind power systems is one of the key strategies to improve the overall efficiency and stability of the system. Offshore wind power faces many challenges due to its unique geographical location and natural environment, such as the intermittency of wind, island operation away from the land grid, and harsh marine environment. Hybrid energy storage systems can effectively address these challenges by combining different types of energy storage technologies. The output power of offshore wind power is greatly affected by wind speed changes, and hybrid energy storage systems (such as combining lithium batteries and supercapacitors) can quickly respond to power fluctuations, absorb or release energy, and make the output power smoother, reducing the impact on the grid. By smoothing the power output, hybrid energy storage systems can reduce the frequent start-stop of wind turbine generators, reduce the mechanical stress of equipment, and extend the service life of equipment.

[0004] However, due to the performance differences between different energy storage devices, such as energy density, power density, response speed, cycle life and cost, precise matching control is required to ensure efficient operation of the overall system. However, the existing technology cannot achieve optimal control of hybrid energy storage systems, and cannot ensure reliable operation of the system. SUMMARY

[0005] The present application provides an optimal control method, device and equipment of a hybrid energy storage device of an offshore wind power system to solve the technical problem that the existing technology cannot achieve optimal control of hybrid energy storage systems and cannot ensure reliable operation of the system.

[0006] To solve the above technical problems, the present application embodiment provides an optimal control method of a hybrid energy storage device of an offshore wind power system, comprising:

[0007] Constructing a grid-connected power balance configuration model of the offshore wind power system;

[0008] Obtain the state of charge (SOC) values ​​of each energy storage device in the offshore wind power system, as well as the SOC values ​​of the batteries and supercapacitors in each energy storage device.

[0009] Based on the state of charge value of the energy storage device, calculate the charging coefficient and discharging coefficient corresponding to each energy storage device;

[0010] Based on the state of charge values ​​of the battery and the supercapacitor, a power allocation strategy for energy exchange between the battery and the supercapacitor in each energy storage device is obtained.

[0011] Based on the grid-connected power balance configuration model, with the goal of minimizing the total throughput power of the hybrid energy storage devices in the grid-connected power balance configuration model, and in conjunction with the charging coefficient, discharging coefficient, and power allocation strategy, an optimized control scheme for the hybrid energy storage devices of the offshore wind power system is obtained. Then, the hybrid energy storage devices of the offshore wind power system are optimized and controlled according to the optimized control scheme.

[0012] As a preferred option, the grid-connected power balancing configuration model for offshore wind power systems is: P hess =P b +P sc ; P hess =P WT -P g ;

[0013] Among them, P hess P represents the total active power throughput of the hybrid energy storage system in the offshore wind power system. b and P sc These represent the active power output of the batteries and the active power output of the supercapacitors in each energy storage device, respectively. g and P WT These represent the grid-connected power of the hybrid energy storage device and the output power of the offshore wind farm, respectively.

[0014] As a preferred option, the charging coefficient for each energy storage device is calculated using the following formula:

[0015] Where, k ch Here, represents the charging coefficient for each energy storage device, and SOC represents the state of charge (SOC) of the energy storage device.

[0016] As a preferred option, the discharge coefficient of each energy storage device is calculated using the following formula:

[0017] Where, k dis This represents the discharge coefficient corresponding to each energy storage device.

[0018] As a preferred solution, the power distribution strategy for energy exchange between the battery and the supercapacitor is:

[0019] When SOC b (t)∈(0,0.2) and SOC sc (t)∈(0,0.2):

[0020] When SOC b (t)∈(0,0.2) and SOC sc (t)∈[0.2,1]:

[0021] When SOC b (t)∈[0.2,1) and SOC sc (t)∈(0,0.2):

[0022] When SOC b (t)∈[0.2,0.8] and SOC sc (t)∈[0.2,0.8]: No energy exchange is needed between the battery and the supercapacitor;

[0023] When SOC b (t)∈(0.8,1) and SOC sc (t)∈(0,0.8]:

[0024] When SOC b (t)∈(0,0.8] and SOC sc (t)∈(0.8,1):

[0025] When SOC b (t)∈(0.8,1) and SOC sc (t)∈(0.8,1): No energy exchange is needed between the battery and the supercapacitor;

[0026] Wherein, SOC b (t) is the battery state of charge value of the battery in the energy storage device, SOC sc (t) is the supercapacitor state of charge value of the supercapacitor in the energy storage device, E bN and E scN are the rated capacity of the battery and the rated capacity of the supercapacitor, respectively.

[0027] On the basis of the above-mentioned embodiments, another embodiment of the present application provides a hybrid energy storage device optimization control device of an offshore wind power system, comprising: a grid-connected power balance configuration model construction module, a device state of charge value acquisition module, a charge-discharge electric coefficient calculation module, a power distribution strategy generation module, and a hybrid energy storage device optimization control module;

[0028] The grid-connected power balance configuration model construction module is configured to construct a grid-connected power balance configuration model of the offshore wind power system.

[0029] The device state of charge value acquisition module is configured to acquire state of charge values of energy storage devices in the offshore wind power system, as well as state of charge values of batteries and supercapacitors in the energy storage devices.

[0030] The charge-discharge electric coefficient calculation module is configured to calculate charge coefficients and discharge coefficients corresponding to the energy storage devices according to the state of charge values of the energy storage devices.

[0031] The power distribution strategy generation module is configured to obtain a power distribution strategy for energy exchange between the batteries and the supercapacitors in the energy storage devices according to the state of charge values of the batteries and the state of charge values of the supercapacitors.

[0032] The hybrid energy storage device optimization control module is configured to obtain a hybrid energy storage device optimization control scheme of the offshore wind power system according to the grid-connected power balance configuration model, with the minimum total power throughput of the hybrid energy storage device in the grid-connected power balance configuration model as the target, and in combination with the charge coefficients, the discharge coefficients, and the power distribution strategy, and then perform optimization control on the hybrid energy storage device of the offshore wind power system according to the hybrid energy storage device optimization control scheme.

[0033] As a preferred scheme, the charge coefficients corresponding to the energy storage devices are calculated by the following formula:

[0034] wherein k ch is the charge coefficient corresponding to each energy storage device, and SOC is the state of charge value of the energy storage device.

[0035] As a preferred scheme, the discharge coefficients corresponding to the energy storage devices are calculated by the following formula:

[0036] wherein k dis is the discharge coefficient corresponding to each energy storage device.

[0037] On the basis of the above-mentioned embodiments, a further embodiment of the application provides an electronic device, the device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method for optimizing control of a hybrid energy storage device of an offshore wind power system according to the above-mentioned embodiments of the application when executing the computer program.

[0038] On the basis of the above-mentioned embodiments, a further embodiment of the application provides a storage medium, the storage medium comprising a stored computer program, wherein the device in which the storage medium is located executes the method for optimizing control of a hybrid energy storage device of an offshore wind power system according to the above-mentioned embodiments of the application when the computer program is running.

[0039] Compared with the prior art, the embodiments of the application have the following beneficial effects:

[0040] The application provides a method for optimizing control of a hybrid energy storage device of an offshore wind power system, which first constructs a grid-connected power balance configuration model of the offshore wind power system; obtains energy storage device state of charge values of each energy storage device in the offshore wind power system, and battery state of charge values and super capacitor state of charge values of batteries and super capacitors in each energy storage device.

[0041] Then, according to the energy storage device state of charge values, the charging coefficients and discharging coefficients corresponding to each energy storage device are calculated, the charging and discharging coefficients corresponding to different energy storage device SOC values are calculated, fast charging is realized when the SOC value is low, and fast discharging is realized when the SOC value is high. According to the battery state of charge values and the super capacitor state of charge values, a power distribution strategy for energy exchange between the batteries and the super capacitors in each energy storage device is obtained; further, since the charging and discharging coefficient adjustment has certain limitations and cannot completely solve the SOC out-of-limit problem of the energy storage device, a power distribution strategy for hybrid energy storage energy exchange of the batteries and the super capacitors is also obtained, accurate SOC control is used to ensure that the hybrid energy storage works in an efficient and optimized control range, and the SOC out-of-limit rate of the batteries and the super capacitors is reduced.

[0042] Finally, according to the grid-connected power balance configuration model, the minimum total power throughput of the hybrid energy storage device in the grid-connected power balance configuration model is taken as the target, and the charging coefficient, the discharging coefficient, and the power distribution strategy are combined to obtain a hybrid energy storage device optimization control scheme of the offshore wind power system, and then the hybrid energy storage device of the offshore wind power system is optimized and controlled according to the hybrid energy storage device optimization control scheme. Through the application, the hybrid energy storage device can be optimized and controlled, and the wind power utilization rate and system operation stability of the offshore wind power system are enhanced. BRIEF DESCRIPTION OF DRAWINGS

[0043] Fig. 1 is a flow diagram of a method for optimizing control of a hybrid energy storage device of an offshore wind power system according to an embodiment of the present application;

[0044] Fig. 2 is a structural diagram of a device for optimizing control of a hybrid energy storage device of an offshore wind power system according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] For the purpose of the present application, the technical solutions and advantages, the technical solutions in the present application will be described clearly and completely below in conjunction with the drawings of the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "include" and "have" and any variations thereof in the specification and claims of the present application and the above description of drawings are intended to cover non-exclusive inclusion.

[0047] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly and specifically limited.

[0048] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily independent or alternative embodiments to each other. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0049] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in the present application generally represents a "or" relationship between the associated objects.

[0050] In the description of the embodiments of the present application, the term "a plurality of" refers to two or more (including two), and similarly, "a plurality of groups" refers to two or more groups (including two groups), and "a plurality of pieces" refers to two or more pieces (including two pieces).

[0051] In the description of the embodiments of the present application, unless otherwise explicitly specified and limited, the technical terms "mounting", "connection", "connection", "fixing" and the like should be understood in a broad sense, for example, can be fixedly connected, or can be detachably connected, or can be integrated; can be mechanically connected, or can be electrically connected; can be directly connected, or can be indirectly connected through an intermediate medium; can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0052] Embodiment one

[0053] Please refer to Fig. 1, which is a flowchart of a hybrid energy storage device optimization control method of an offshore wind power system according to an embodiment of the present application, including the following specific steps:

[0054] S1, constructing a grid-connected power balance configuration model of the offshore wind power system;

[0055] Preferably, the grid-connected power balance configuration model of the offshore wind power system is: P hess = P b + P sc ; P hess = P WT -P g ;

[0056] Wherein, P hess is the total active power of the hybrid energy storage device in the offshore wind power system, P b and P sc are the active power of the battery and the active power of the super capacitor in each energy storage device, P g and P WT are the grid-connected power of the hybrid energy storage device and the output power of the offshore wind farm.

[0057] Specifically, the hybrid energy storage device optimization control method of the present application includes the following steps:

[0058] Step one, establishing a grid-connected power balance configuration model of the offshore wind power system

[0059] The offshore wind power system comprises units such as an offshore wind power plant, a hybrid energy storage device, a power electronic conversion device and a DC cable; wherein the hybrid energy storage device comprises a battery and a super capacitor, the battery is for the throughput of low-frequency components, and the super capacitor is for the throughput of high-frequency components. In the offshore wind power system, the active power of the hybrid energy storage device is balanced as follows: hess = P b + P sc ; P hess = P WT - P g ;

[0060] Wherein, P hess is the total active power of the hybrid energy storage throughput, P b and P sc are the active power of the battery and the super capacitor throughput, P g and P WT are the grid-connected power and the offshore wind farm output power. Part of the active power output by the offshore wind farm is connected to the grid according to the scheduling requirements, and the remaining part is stored in the hybrid energy storage device.

[0061] The output power of the offshore wind farm should be maximized to be connected to the grid, and the remaining part is stored in the hybrid energy storage system, so the total power of the hybrid energy storage device is minimized as the decisive condition for maximizing the grid-connected power, that is, the larger the grid-connected amount, the smaller the energy absorbed or released by the hybrid energy storage device, and the more the economic benefits can be maximized.

[0062] S2, obtaining the state of charge value of each energy storage device in the offshore wind power system, and the state of charge value of the battery and the state of charge value of the super capacitor in each energy storage device;

[0063] Step two, designing a control strategy for the hybrid energy storage device

[0064] In the charging and discharging process of the hybrid energy storage device, it is also necessary to improve the charging and discharging efficiency and ensure the healthy work of the energy storage device. Among them, the state of charge (SOC) is an important parameter for measuring the healthy work of the energy storage device, and the SOC value (i.e. the state of charge value of the energy storage device) of each energy storage device in the offshore wind power system is obtained in different time periods. Calling the corresponding charging and discharging coefficient can ensure the healthy work of the energy storage device, and thus maintain the safe and stable operation of the entire offshore wind power system.

[0065] S3, calculating the charging coefficient and the discharging coefficient corresponding to each energy storage device according to the state of charge value of the energy storage device;

[0066] Preferably, the charging coefficient corresponding to each energy storage device is calculated by the following formula:

[0067] Wherein, k chis the charging coefficient corresponding to each energy storage device, and SOC is the state of charge value of the energy storage device.

[0068] Preferably, the discharging coefficient corresponding to each energy storage device is calculated by the following formula:

[0069] wherein k dis is the discharging coefficient corresponding to each energy storage device.

[0070] Step 2.1, different charging coefficients are designed for different SOC values of the energy storage device;

[0071] When SOC(t) ∈ (0, 0.2) is obtained at time t, the SOC of the energy storage device at this moment is lower than the normal operating range, which is in an abnormal state, and a larger charging coefficient needs to be selected to quickly restore the SOC value; when SOC(t) ∈ [0.2, 0.8], the SOC at this moment is in the normal operating range, which is in a normal state and does not need to be adjusted; when SOC(t) ∈ (0.8, 1), the SOC at this moment is higher than the normal operating range, which is in an abnormal state, and a smaller charging coefficient is selected to avoid overcharging, therefore, different charging coefficients k ch are designed according to different SOC values.

[0072] Step 2.2, different discharging coefficients are designed for different SOC values of the energy storage device;

[0073] When SOC(t) ∈ (0, 0.2) is obtained at time t, the SOC of the energy storage device at this moment is lower than the normal operating range, a smaller discharging coefficient needs to be selected to avoid over-discharge; when SOC(t) ∈ [0.2, 0.8], the SOC at this moment is in the normal operating range, which does not need to be adjusted; when SOC(t) ∈ (0.8, 1), the SOC at this moment is higher than the normal operating range, a larger discharging coefficient is selected, therefore, different discharging coefficients k

[0074] S4, according to the state of charge value of the battery and the state of charge value of the super capacitor, a power distribution strategy for energy exchange between the battery and the super capacitor in each energy storage device is obtained;

[0075] Preferably, the power distribution strategy for energy exchange between the battery and the super capacitor is:

[0076] When SOC b (t) ∈ (0, 0.2) and SOC sc (t) ∈ (0, 0.2):

[0077] When SOC b(t)∈(0,0.2) and SOC sc (t)∈[0.2,1] and SOC

[0078] When SOC b (t)∈[0.2,1) and SOC sc (t)∈(0,0.2) and SOC

[0079] When SOC b (t)∈[0.2,0.8] and SOC sc (t)∈[0.2,0.8] and SOC

[0080] When SOC b (t)∈(0.8,1) and SOC sc (t)∈(0,0.8] and SOC

[0081] When SOC b (t)∈(0,0.8] and SOC sc (t)∈(0.8,1) and SOC

[0082] When SOC b (t)∈(0.8,1) and SOC sc (t)∈(0.8,1) and SOC

[0083] Wherein, SOC b (t) is the battery state of charge value of the battery in the energy storage device, SOC sc (t) is the supercapacitor state of charge value of the supercapacitor in the energy storage device, E bN and E scN are the rated capacity of the battery and the rated capacity of the supercapacitor, respectively.

[0084] Step 2.3, obtaining the battery state of charge value of the battery and the supercapacitor state of charge value of the supercapacitor in each energy storage device, and designing an adaptive control strategy for the hybrid energy storage device for different combinations of SOC values of the battery and the supercapacitor in the hybrid energy storage device.

[0085] In step 2.1 and step 2.2, the charge-discharge coefficient adjustment function has certain limitations and cannot completely solve the SOC over-limit problem of the energy storage device, so in this step, for the combination of different SOC values of the battery and the super capacitor in the hybrid energy storage device, a power secondary distribution strategy for energy exchange between the battery and the super capacitor is designed on the basis of the charge-discharge coefficient adjustment function, and the total power conservation of the hybrid energy storage device is taken as the basic criterion. Through the energy exchange between the battery and the super capacitor, the SOC over-limit rate of the battery and the super capacitor is reduced.

[0086] The SOC value of the battery at time t is represented as SOC b (t), and the SOC value of the super capacitor at time t is represented as SOC sc (t).

[0087] ① When SOC b (t)∈(0,0.2), SOC sc (t)∈(0,0.2), it indicates that at time t, the SOC values of the battery and the super capacitor are insufficient. In order to reduce the SOC over-limit rate of the hybrid energy storage system, the SOC of the super capacitor is not discharged at low SOC, and the SOC of the battery and the super capacitor at this moment is calculated as follows:

[0088] In the formula, E bN and E scN are the rated capacities of the battery and the super capacitor, respectively.

[0089] ② When SOC b (t)∈(0,0.2), SOC sc (t)∈[0.2,1], it indicates that at time t, the SOC value of the battery is insufficient, and the SOC value of the super capacitor is in a normal state. In order to reduce the SOC over-limit rate of the hybrid energy storage system, the super capacitor is allowed to deliver power to the battery to restore the SOC of the battery under the condition that the SOC of the super capacitor is not discharged, and the SOC of the battery and the super capacitor at this moment is calculated as follows:

[0090] ③ When SOC b (t)∈[0.2,1), SOC sc (t)∈(0,0.2), it indicates that at time t, the SOC value of the battery is in a normal state, and the SOC value of the super capacitor is insufficient. In order to reduce the SOC over-limit rate of the hybrid energy storage system, the battery is allowed to deliver power to the super capacitor to restore the SOC of the super capacitor under the condition that the SOC of the battery is not discharged, and the SOC of the battery and the super capacitor at this moment is calculated as follows:

[0091] ④ When SOC b(t)∈[0.2,0.8], SOCsc(t)∈[0.2,0.8], the battery SOC value and the super capacitor SOC value are in a normal state, and power secondary distribution is not needed.

[0092] V. When SOC b (t)∈(0.8, 1), SOC sc (t)∈(0, 0.8], it is indicated that, at the time t, the battery SOC value is in a higher state, and the super capacitor SOC value is insufficient or normal. To reduce the SOC overrunning rate of the hybrid energy storage system and ensure that the battery SOC does not over-discharge, the battery is allowed to deliver power to the super capacitor to balance the SOC. The SOC of the battery and the super capacitor at this moment is calculated as follows:

[0093] VI. When SOC b (t)∈(0, 0.8], SOC sc (t)∈(0.8, 1), it is indicated that, at the time t, the battery SOC value is in a lower or normal state, and the super capacitor SOC value is higher. To reduce the SOC overrunning rate of the hybrid energy storage system and ensure that the super capacitor SOC does not over-discharge, the super capacitor is allowed to deliver power to the battery to balance the SOC. The SOC of the battery and the super capacitor at this moment is calculated as follows:

[0094] VII. When SOC b (t)∈(0.8, 1), SOC sc (t)∈(0.8, 1), it is indicated that, at the time t, the battery and the super capacitor SOC values are in a higher state, and energy needs to be released to reduce the SOC to the normal range. At this moment, power secondary distribution is not needed.

[0095] S5. According to the grid-connected power balance configuration model, a hybrid energy storage device optimization control scheme of the offshore wind power system is obtained by taking the minimum total throughput power of the hybrid energy storage device in the grid-connected power balance configuration model as a target and combining the charging coefficient, the discharging coefficient, and the power distribution strategy. Then, the hybrid energy storage device of the offshore wind power system is optimized and controlled according to the hybrid energy storage device optimization control scheme.

[0096] Step three, according to the grid-connected power balance configuration model, a hybrid energy storage device optimization control scheme of the offshore wind power system is obtained by taking the minimum total throughput power of the hybrid energy storage device in the grid-connected power balance configuration model as a target and combining the charging coefficient, the discharging coefficient, and the power distribution strategy. Then, the hybrid energy storage device of the offshore wind power system is optimized and controlled according to the hybrid energy storage device optimization control scheme.

[0097] It can be seen that the application provides a kind of offshore wind power system's hybrid energy storage equipment optimization control method, by the application, first, the SOC value of different energy storage equipment is designed to adjust the function of charge-discharge coefficient, when SOC value is low, realize fast charging, when SOC value is high, realize fast discharge;Further, since the charge-discharge coefficient adjustment function has certain limitation, cannot completely solve the SOC overrun problem of energy storage equipment, and the hybrid energy storage energy exchange strategy is designed for 7 different SOC combinations of battery and super capacitor, accurate SOC control is used to ensure that hybrid energy storage works in the efficient optimization control range, reduce the SOC overrun rate of battery and super capacitor, optimize the performance of hybrid energy storage equipment, prolong service life, reduce investment cost, enhance the wind power utilization rate and system operation stability of offshore wind power system.

[0098] Embodiment two

[0099] Please refer to Figure 2, it is a kind of offshore wind power system's hybrid energy storage equipment optimization control device structure schematic diagram provided by the embodiment of the application, the device includes: grid-connected power balance configuration model construction module, equipment state of charge value acquisition module, charge-discharge coefficient calculation module, power distribution strategy generation module and hybrid energy storage equipment optimization control module;

[0100] The grid-connected power balance configuration model construction module is used to construct the grid-connected power balance configuration model of offshore wind power system;

[0101] The equipment state of charge value acquisition module is used to obtain the energy storage equipment state of charge value of each energy storage equipment in offshore wind power system, and the battery state of charge value of battery and the super capacitor state of charge value of super capacitor in each energy storage equipment;

[0102] The charge-discharge coefficient calculation module is used to calculate the charging coefficient and discharging coefficient corresponding to each energy storage equipment according to the energy storage equipment state of charge value;

[0103] The power distribution strategy generation module is used to obtain the power distribution strategy of energy exchange between battery and super capacitor in each energy storage equipment according to the battery state of charge value and the super capacitor state of charge value;

[0104] The hybrid energy storage equipment optimization control module is used to obtain the hybrid energy storage equipment optimization control scheme of offshore wind power system according to the grid-connected power balance configuration model, with the minimum total power of hybrid energy storage equipment in the grid-connected power balance configuration model as the target, and combining the charging coefficient, discharging coefficient and power distribution strategy, and then the hybrid energy storage equipment of offshore wind power system is optimized and controlled according to the hybrid energy storage equipment optimization control scheme.

[0105] Preferably, the charging coefficient of each energy storage device is calculated by the following formula:

[0106] wherein k ch is the charging coefficient of each energy storage device, and SOC is the state of charge value of the energy storage device.

[0107] Preferably, the discharging coefficient of each energy storage device is calculated by the following formula:

[0108] wherein k dis is the discharging coefficient of each energy storage device.

[0109] It should be noted that the apparatus embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., they can be located in one place, or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs. In addition, the connection relationship between the modules in the apparatus embodiments provided by the present application indicates that there is a communication connection between them, which can be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0110] Those skilled in the art can clearly understand that, for the convenience and brevity, the specific working process of the apparatus described above can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0111] Embodiment three

[0112] Correspondingly, the embodiment of the present application provides an electronic device, the device includes a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, when the processor executes the computer program, the method for optimizing control of the hybrid energy storage device of the offshore wind power system is realized.

[0113] The electronic device can be a desktop computer, a notebook computer, a palm computer and a cloud server, etc. The device can include but is not limited to a processor, a memory.

[0114] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The processor is a control center of the device, and connects various parts of the device through various interfaces and lines.

[0115] Embodiment four

[0116] Correspondingly, an embodiment of the present application provides a storage medium including a stored computer program, wherein the computer program controls a device where the storage medium is located to perform the offshore wind power system hybrid energy storage device optimization control method described in the above-mentioned embodiments of the present application when the computer program is running.

[0117] The memory can be used to store the computer program, and the processor realizes various functions of the device by running or executing the computer program stored in the memory and calling data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required by a function, etc.; and the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a nonvolatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state memory device.

[0118] The storage medium is a computer readable storage medium, and the computer program is stored in the computer readable storage medium. When the computer program is executed by a processor, steps of each method embodiment described above can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0119] The above is the preferred embodiment of the present application. It should be noted that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which are also considered within the scope of protection of the present application.

Claims

1. A method for optimizing control of a hybrid energy storage device of an offshore wind power system, characterized in that, The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system.

2. The method of claim 1, wherein The grid-connected power balance configuration model of the offshore wind power system is: P hess = P b + P sc ; P hess = P WT -P g ; where P hess is the total active power of the hybrid energy storage throughput in the offshore wind power system, P b and P sc are the active power of the battery throughput and the active power of the super capacitor throughput in each energy storage device, P g and P WT are the grid-connected power of the hybrid energy storage device and the output power of the offshore wind farm, respectively.

3. The method of claim 1, wherein The charging coefficient corresponding to each energy storage device is calculated by the following formula: wherein k ch is the charging coefficient corresponding to each energy storage device, and SOC is the state of charge value of the energy storage device.

4. The optimized control method for hybrid energy storage devices in offshore wind power systems as described in claim 3, characterized in that, The discharge coefficient corresponding to each energy storage device is calculated by the following formula: wherein k dis is the discharge coefficient corresponding to each energy storage device.

5. The method of claim 1, wherein The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. When SOC b (t) e (0, 0.2) and SOC sc (t) e (0, 0.2): When SOC b (t) e (0, 0.2) and SOC sc (t) e [0.2, 1]: When SOC b (t) e [0.2, 1) and SOC sc (t) e (0, 0.2): When SOC b (t)∈[0.2,0.8] and SOC sc (t)∈[0.2,0.8]: no energy exchange between the battery and the supercapacitor is needed; When SOC b (t) e (0.8, 1) and SOC sc (t) e (0, 0.8]: When SOC b (t) ∈ (0, 0.8] and SOC sc (t) ∈ (0.8, 1): When SOC b (t) ∈ (0.8, 1) and SOC sc (t) ∈ (0.8, 1): no energy exchange between the battery and the supercapacitor is needed; wherein SOC b (t) is a battery state of charge value of the battery in the energy storage device, SOC sc (t) is a supercapacitor state of charge value of the supercapacitor in the energy storage device, E bN and E scN are the rated capacity of the battery and the rated capacity of the supercapacitor, respectively.

6. A hybrid energy storage device optimization control apparatus for an offshore wind power system, characterized by, The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system.

7. The hybrid energy storage device optimal control apparatus of an offshore wind power system according to claim 6, characterized in that, The charging coefficient corresponding to each energy storage device is calculated by the following formula: wherein k ch is the charging coefficient corresponding to each energy storage device, and SOC is the state of charge value of the energy storage device.

8. The hybrid energy storage device optimal control apparatus of an offshore wind power system according to claim 7, characterized in that, The discharge coefficient corresponding to each energy storage device is calculated by the following formula: wherein k dis is the discharge coefficient corresponding to each energy storage device.

9. An electronic device, comprising: The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system.

10. A storage medium, characterized by The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application relates to a method for optimizing control of a hybrid energy storage device of an offshore wind power system. The application

Images