Hybrid energy storage system control method and apparatus, and electronic device and storage medium

Abstract

The present disclosure relates to the field of frequency modulation of wind power plants and control over hybrid energy storage systems. Provided are a hybrid energy storage system control method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring real-time operation data of a wind turbine generator and hybrid energy storage system; on the basis of the real-time operation data, calculating a target power of the hybrid energy storage system; on the basis of the real-time operation data, determining whether both a supercapacitor and a lithium battery are in corresponding preset state-of-charge ranges, and if not, controlling the hybrid energy storage system to enter a forced charging and discharging state; on the basis of the real-time operation data, determining whether the absolute value of the target power of the hybrid energy storage system is less than a power dead zone, and if so, controlling the hybrid energy storage system to enter a charging and discharging recovery state; and on the basis of the real-time operation data, determining whether a normal charging and discharging condition is met, and if so, controlling the hybrid energy storage system to enter a normal charging and discharging state. The present disclosure can enable a supercapacitor to bear high-frequency fluctuations, thereby reducing the service life loss of a lithium battery and improving the secondary frequency modulation capability of a hybrid energy storage system.

Description

Hybrid energy storage system control method and device, electronic equipment and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of wind farm frequency modulation and hybrid energy storage system control, in particular to a hybrid energy storage system control method and device, electronic equipment and storage medium. BACKGROUND

[0002] As an important part of renewable energy, wind power has great fluctuation in output, which brings challenges to the stable operation of the power grid. At the same time, the load of the power grid is also changing. Therefore, wind farms need to have active power regulation capability to ensure the frequency stability of the power grid. Large-scale wind turbine generators require wind farms to have primary frequency modulation capability. For this purpose, existing wind farms are usually equipped with an automatic generation control (AGC) system to receive and automatically execute AGC instructions sent by a power dispatching mechanism. However, the existing technology mainly involves the primary frequency modulation of wind farms, and the research on the secondary frequency modulation of wind farms is relatively less.

[0003] Wind turbines usually operate in maximum power tracking mode, and when the grid frequency drops, they cannot provide additional active power to support the secondary frequency modulation of the grid. Therefore, sufficient active reserve needs to be obtained through load shedding measures. However, the frequency modulation capacity provided by the wind farm is limited, so new control means are needed to meet the demand for secondary frequency modulation. In the existing technology, the use of energy storage systems to assist wind farms can reduce the load shedding reserve power of the wind farm through the fast response capability of the energy storage system and quickly respond to the demand for secondary frequency modulation of the grid.

[0004] Hybrid energy storage systems have obvious advantages over single energy storage systems in terms of improving system regulation capability and energy utilization efficiency. Current wind-storage combined systems mainly rely on lithium batteries as energy storage devices. However, although lithium batteries have high energy density and fast charging and discharging speed, their cycle life is relatively short, and their efficiency will gradually decrease in high-frequency charging and discharging cycles. Therefore, a new energy storage system design scheme is urgently needed, and effective control is needed to improve the overall energy efficiency of the system and prolong the service life of lithium batteries. SUMMARY

[0005] The present disclosure aims to at least solve one of the problems existing in the prior art, and provides a hybrid energy storage system control method and device, electronic equipment and storage medium.

[0006] In one aspect of the present disclosure, a hybrid energy storage system control method is provided, the control method comprising:

[0007] obtaining real-time operation data of wind turbine generators and a hybrid energy storage system;

[0008] based on the real-time operation data, calculate a target power of the hybrid energy storage system;

[0009] based on the real-time operation data, respectively determine whether the super capacitor and the lithium battery are both in corresponding preset state of charge intervals, and if not, control the hybrid energy storage system to enter a forced charging and discharging state;

[0010] based on the real-time operation data, determine whether an absolute value of the target power of the hybrid energy storage system is less than a power dead zone, and if so, control the hybrid energy storage system to enter a recovery charging and discharging state;

[0011] based on the real-time operation data, determine whether a normal charging and discharging condition is met, and if so, control the hybrid energy storage system to enter a normal charging and discharging state.

[0012] Optionally, the calculation of the target power of the hybrid energy storage system based on the real-time operation data comprises:

[0013] According to Formula 1, the target power of the hybrid energy storage system is calculated: P R = P A - P F Formula 1.

[0014] wherein P R represents the target power of the hybrid energy storage system, P A represents a power indicated by an automatic generation control instruction, and P F represents a wind turbine power.

[0015] Optionally, when the hybrid energy storage system is in the forced charging and discharging state, if the state of charge of the super capacitor exceeds a corresponding maximum value and the lithium battery is in the corresponding preset state of charge interval, the target powers of the super capacitor and the lithium battery are represented by Formula 2:

[0016] wherein P C represents the target power of the super capacitor, P L represents the target power of the lithium battery, P CF represents a forced discharging power of the super capacitor, and P Lmax represents a maximum output power of the lithium battery.

[0017] Optionally, when the hybrid energy storage system is in the forced charging and discharging state, if the state of charge of the lithium battery exceeds a corresponding maximum value and the super capacitor is in the corresponding preset state of charge interval, the target powers of the super capacitor and the lithium battery are represented by Formula 3:

[0018] Ptarget, Li (t) represents the target power of the lithium battery at time t, and Pmax, Li represents the maximum output power of the lithium battery. C Ptarget, SC (t) represents the target power of the super capacitor at time t, and Pmax, SC represents the maximum output power of the super capacitor. L Ptarget, Li (t) represents the target power of the lithium battery at time t, and Pmax, Li represents the maximum output power of the lithium battery. LF Pforced, Li (t) represents the forced discharge power of the lithium battery at time t, and Pmax, Li represents the maximum output power of the lithium battery. Cmax Ptarget, SC (t) represents the target power of the super capacitor at time t, and Pmax, SC represents the maximum output power of the super capacitor.

[0019] Optionally, when the hybrid energy storage system is in the forced charge and discharge state, if the state of charge of the super capacitor exceeds the corresponding maximum value and the state of charge of the lithium battery also exceeds the corresponding maximum value, the target power of the super capacitor and the target power of the lithium battery are both 0.

[0020] Optionally, when the target power of the hybrid energy storage system is in the power dead zone, the target power of the lithium battery is represented by formula 4, and the target power of the super capacitor is represented by formula 5:

[0021] Ptarget, Li (t) represents the target power of the lithium battery at time t, and Pmax, Li represents the maximum output power of the lithium battery. L Ptarget, Li (t) represents the target power of the lithium battery at time t, and Pmax, Li represents the maximum output power of the lithium battery. LS Pforced, Li (t) represents the forced discharge power of the lithium battery at time t, and Pmax, Li represents the maximum output power of the lithium battery. OCL S0 represents the initial value of the state of charge, and S represents the state of charge.

[0022] Ptarget, SC (t) represents the target power of the super capacitor at time t, and Pmax, SC represents the maximum output power of the super capacitor. C Ptarget, SC (t) represents the target power of the super capacitor at time t, and Pmax, SC represents the maximum output power of the super capacitor. CS Pforced, SC (t) represents the forced discharge power of the super capacitor at time t, and Pmax, SC represents the maximum output power of the super capacitor. OCC S0 represents the initial value of the state of charge, and S represents the state of charge.

[0023] Optionally, when the hybrid energy storage system is in the normal charge and discharge state, the discharge condition is represented by formula 6, and the charging condition is represented by formula 7:

[0024] Ptarget, Li (t) represents the target power of the lithium battery at time t, and Pmax, Li represents the maximum output power of the lithium battery. C Ptarget, SC (t) represents the target power of the super capacitor at time t, and Pmax, SC represents the maximum output power of the super capacitor. L Ptarget, Li (t) represents the target power of the lithium battery at time t, and Pmax, Li represents the maximum output power of the lithium battery. Cmax Pmax, SC represents the maximum output power of the super capacitor. Lmax Pmax, Li represents the maximum output power of the lithium battery. R Ptarget (t) represents the target power of the hybrid energy storage system at time t.

[0025] Another aspect of the present disclosure provides a hybrid energy storage system control device, the control device comprising:

[0026] An acquisition module is configured to acquire real-time operation data of the wind turbine and the hybrid energy storage system.

[0027] a calculation module, configured to calculate a target power of the hybrid energy storage system based on the real-time operation data;

[0028] a first control module, configured to determine whether the supercapacitor and the lithium battery are both in a corresponding preset state of charge interval based on the real-time operation data, and control the hybrid energy storage system to enter a forced charging and discharging state if not;

[0029] a second control module, configured to determine whether an absolute value of the target power of the hybrid energy storage system is less than a power dead zone based on the real-time operation data, and control the hybrid energy storage system to enter a recovery charging and discharging state if yes;

[0030] a third control module, configured to determine whether a normal charging and discharging condition is met based on the real-time operation data, and control the hybrid energy storage system to enter a normal charging and discharging state if yes.

[0031] Another aspect of the present disclosure provides an electronic device, comprising:

[0032] at least one processor; and

[0033] a memory in communication with the at least one processor; wherein

[0034] the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the hybrid energy storage system control method described above.

[0035] Another aspect of the present disclosure provides a computer readable storage medium storing a computer program, and the computer program is executed by a processor to implement the hybrid energy storage system control method described above.

[0036] Compared with the prior art, the present disclosure improves the overall energy utilization efficiency of the hybrid energy storage system, reduces the cycle number of the lithium battery, prolongs the service life of the lithium battery, enhances the secondary frequency modulation capability of the wind farm through the optimized control strategy, stabilizes the power grid frequency, and improves the response speed and adjustment capability of the system by combining the advantages of high power density of the supercapacitor and high energy density of the lithium battery. BRIEF DESCRIPTION OF DRAWINGS

[0037] One or more embodiments are illustrated by way of example in the drawings, which are not limiting of the embodiments and reference numerals in the drawings indicate like elements, unless otherwise specified herein. The drawings are not necessarily to scale, lo the drawings in which:

[0038] FIG. 1 is a flowchart of a hybrid energy storage system control method according to an embodiment of the present disclosure;

[0039] FIG. 2 is a structural schematic diagram of a wind power-hybrid energy storage combined power plant according to another embodiment of the present disclosure;

[0040] FIG. 3 is a flow schematic diagram of a hybrid energy storage system control method according to another embodiment of the present disclosure;

[0041] FIG. 4 is a structural schematic diagram of a hybrid energy storage system control device according to another embodiment of the present disclosure;

[0042] FIG. 5 is a structural schematic diagram of an electronic device according to another embodiment of the present disclosure. DETAILED DESCRIPTION

[0043] In order to make the objectives, technical solutions and advantages of the embodiments of the present disclosure clearer, the embodiments of the present disclosure will be described in detail below with reference to the drawings. However, those skilled in the art can understand that, in the embodiments of the present disclosure, many technical details are presented in order to make the readers better understand the present disclosure. However, the technical solutions claimed by the present disclosure can be implemented even without these technical details and based on various changes and modifications of the following embodiments. The division of the following embodiments is for the convenience of description, and should not constitute any limitation on the specific embodiments of the present disclosure, and the embodiments can be combined with each other and cited to each other without contradiction.

[0044] One embodiment of the present disclosure relates to a hybrid energy storage system control method, the flow of which is shown in FIG. 1, comprising:

[0045] In step S110, real-time operation data of the wind turbine and the hybrid energy storage system are acquired.

[0046] Specifically, FIG. 2 shows the structure of a wind power-hybrid energy storage combined power plant, and a plurality of wind power-hybrid energy storage units are connected to the regional power grid through a transformer via a grid connection point. Each wind power-hybrid energy storage unit includes a wind turbine, a super capacitor, a lithium battery, an alternating current (AC) / direct current (DC) converter, a DC / DC converter, a DC / AC converter, etc. Among them, the hybrid energy storage system includes a super capacitor and a lithium battery. For example, the transformer can include but is not limited to a 33KV / 110KV transformer, a 110KV / 33KV transformer, etc. The lithium battery can be but is not limited to a lithium iron phosphate battery.

[0047] For example, in combination with FIG. 3, step S110 can acquire the power P A , the wind turbine power P F , the state of charge SOCC , state of charge S of the lithium battery OCL , power P indicated by the AGC instruction of the last time A (t-1), etc., to obtain real-time operation data of the wind turbine generator and the hybrid energy storage system.

[0048] Step S120, based on the real-time operation data, calculates the target power of the hybrid energy storage system.

[0049] For example, in combination with FIG. 3, step S120 includes: according to formula 1, calculating the target power of the hybrid energy storage system: P R = P A -P F Formula 1.

[0050] Wherein, P R represents the target power of the hybrid energy storage system, used to represent the target output of the hybrid energy storage system. P A represents the power indicated by the AGC instruction. P F represents the wind turbine generator power.

[0051] That is, step S120 can calculate the target power of the hybrid energy storage system according to the power indicated by the AGC instruction and the wind turbine generator power.

[0052] Step S130, based on the real-time operation data, respectively judges whether the supercapacitor and the lithium battery are in the corresponding preset state of charge interval, if not, controls the hybrid energy storage system to enter the forced charging and discharging state.

[0053] Specifically, the preset state of charge interval is an interval composed of a preset minimum state of charge S OCmin and a preset maximum state of charge S OCmax , that is, [S OCmin , S OCmax ]. The specific values of S OCmin and S OCmax can be set according to actual needs. For example, S OCmin can be set to 0.1, and S OCmax can be set to 0.9. At this time, in combination with FIG. 3, for the state of charge S OCC of the supercapacitor and the state of charge S OCL of the lithium battery, if S or S , the hybrid energy storage system is controlled to enter the forced charging and discharging state.

[0054] Affected by the battery life and the safety of the hybrid energy storage system, when the state of charge of any one of the supercapacitor and the lithium battery is not in the specified range, that is, the preset state of charge interval [S OCmin, S OCmax When the state of charge of the supercapacitor exceeds its corresponding maximum value, and the state of charge of the lithium battery is in the corresponding preset state of charge interval, the target power of the supercapacitor and the lithium battery is represented by formula 2:

[0055] The following is an example of the target power of the hybrid energy storage system being less than 0 (P R <0), which introduces the output of the hybrid energy storage system in the forced charging and discharging state.

[0056] For example, when the hybrid energy storage system is in the forced charging and discharging state, if the state of charge of the supercapacitor exceeds its corresponding maximum value, and the state of charge of the lithium battery is in the corresponding preset state of charge interval, the target power of the supercapacitor and the lithium battery is represented by formula 2:

[0057] Wherein, P C represents the target power of the supercapacitor, P L represents the target power of the lithium battery, P CF represents the forced discharging power of the supercapacitor, P Lmax represents the maximum output power of the lithium battery.

[0058] Specifically, when the state of charge of the supercapacitor S OCC exceeds its corresponding maximum value S OCCmax , and the state of charge of the lithium battery S OCL is in the corresponding preset state of charge interval [S OCLmin , S OCLmax ], i.e. S OCC > S OCCmax and S OCL ∈ [S OCLmin , S OCLmax ], the supercapacitor is forced to discharge, and the lithium battery needs to absorb the energy of the forced discharging of the supercapacitor while meeting the target power of the hybrid energy storage system. Wherein, S OCLmin represents the minimum value of the state of charge of the lithium battery, and S OCLmax represents the maximum value of the state of charge of the lithium battery.

[0059] For example, in combination with FIG. 3, assuming that the preset state of charge interval is [0.1, 0.9], when the state of charge of the supercapacitor S OCC > 0.9, the supercapacitor is forced to discharge, and its target power P C is the forced discharging power P Cf , so that the state of charge SOC The state of charge S

[0060] For example, when the hybrid energy storage system is in the forced charging and discharging state, if the state of charge S

[0061] wherein P C represents the target power of the supercapacitor, P L represents the target power of the lithium battery, P LF represents the forced discharging power of the lithium battery, and P Cmax represents the maximum output power of the supercapacitor.

[0062] Specifically, when the state of charge S OCL of the lithium battery exceeds the corresponding maximum value S OCLmax , and the state of charge S OCC of the supercapacitor is in the corresponding preset state of charge interval [S OCCmin , S OCCmax ], i.e., S OCL > S OCLmax and S OCC ∈ [S OCCmin , S OCCmax ], the lithium battery is forced to discharge, and the supercapacitor needs to absorb the energy of the forced discharging of the lithium battery while meeting the target power of the hybrid energy storage system. Wherein S OCCmin represents the minimum value of the state of charge of the supercapacitor, and S OCCmax represents the maximum value of the state of charge of the supercapacitor.

[0063] For example, in combination with FIG. 3, assuming that the preset state of charge interval is [0.1, 0.9], when the state of charge S OCL of the lithium battery is greater than 0.9, the lithium battery is forced to discharge, and the target power P L of the lithium battery is the forced discharging power P Lf , so that the state of charge S OC of the lithium battery returns to the preset state of charge interval [0.1, 0.9].

[0064] For example, when the hybrid energy storage system is in the forced charging and discharging state, if the state of charge of the supercapacitor exceeds the corresponding maximum value, and the state of charge of the lithium battery also exceeds the corresponding maximum value, the target power of the supercapacitor and the target power of the lithium battery are both 0.

[0065] Specifically, when the state of charge S OCL of the lithium battery exceeds the corresponding maximum value S OCLmaxand the state of charge S of the supercapacitor OCC exceeds its corresponding maximum value S OCCmax , i.e. S OCL > S OCLmax and S OCC > S OCCmax , the lithium battery and the supercapacitor are forced to discharge at the same time, the hybrid energy storage system will be adjusted reversely, which will result in the decline of the AGC performance, therefore, in this case, the target power of the lithium battery and the supercapacitor should both be 0, i.e. P L = 0 and P C = 0, until the target power is changed reversely.

[0066] For example, in combination with Fig. 3, assuming that the preset state of charge interval is [0.1, 0.9], when the state of charge S OCC of the supercapacitor is less than 0.1, the supercapacitor is forced to charge, and the target power P C = -P Cf , so as to restore the state of charge S OC to the preset state of charge interval [0.1, 0.9]. When the state of charge S OCL of the lithium battery is less than 0.1, the lithium battery is forced to charge, and the target power P L = -P Lf , so as to restore the state of charge S OC to the preset state of charge interval [0.1, 0.9].

[0067] Since the supercapacitor and the lithium battery always respond to the target power at the same time, generally, the supercapacitor and the lithium battery will not be forced to charge and forced to discharge at the same time.

[0068] In step S140, based on the real-time running data, it is judged whether the absolute value of the target power of the hybrid energy storage system is less than the power dead zone, if yes, the hybrid energy storage system is controlled to enter the recovery charging and discharging state.

[0069] Specifically, the power dead zone is denoted as P 死区 , then in combination with Fig. 3, when |P R | < P 死区 , the hybrid energy storage system enters the recovery charging and discharging state.

[0070] In order to avoid signal oscillation, a dead zone, i.e. the action dead zone, should be set for the action of the hybrid energy storage system. When the absolute value of the target power of the hybrid energy storage system is less than the power dead zone corresponding to the action dead zone, the hybrid energy storage system will not respond. Meanwhile, in order to make the hybrid energy storage system in the best state, when the hybrid energy storage system is in the action dead zone, and the deviation of the state of charge of the hybrid energy storage system from the set value (generally the initial value S0) is greater than another dead zone, e.g. |S OC-S0|>5%, it is necessary to use another preset power to charge or discharge the battery, so that the state of charge is maintained near the set value S0, where the preset power is referred to as the recovery charge-discharge power, S OC The state of charge of the hybrid energy storage system.

[0071] For example, when the target power of the hybrid energy storage system is in the power dead zone, the target power of the lithium battery is represented by formula 4, and the target power of the super capacitor is represented by formula 5:

[0072] Wherein, P L represents the target power of the lithium battery, P LS represents the recovery discharge power of the lithium battery, S OCL represents the state of charge of the lithium battery, and S0 represents the initial value of the state of charge.

[0073] Wherein, P C represents the target power of the super capacitor, P CS represents the recovery discharge power of the super capacitor, S OCC represents the state of charge of the super capacitor.

[0074] Specifically, considering that the hybrid energy storage system has equal charge-discharge capacity when the state of charge is at the intermediate value 0.5, it can better adapt to complex changes in AGC instructions, therefore, the initial value of the state of charge S0 can be taken as 0.5.

[0075] For example, in combination with FIG. 3, if P R > 0 and S OCC - S0> 0.05, the super capacitor recovers discharge, and the target power P C = P CS . If P R > 0 and S OCL - S0> 0.05, the lithium battery recovers discharge, and the target power P L = P LS . If P R < 0 and S OCC - S0< -0.05, the super capacitor recovers charge, and the target power P C = -P CS . If P R < 0 and S OCL - S0< -0.05, the lithium battery recovers charge, and the target power P L = -P LS .

[0076] Step S150, based on real-time operation data, it is judged whether the normal charge-discharge condition is met, if yes, the hybrid energy storage system is controlled to enter the normal charge-discharge state.

[0077] Specifically, if the battery state of charge satisfies the normal charging and discharging condition, and the absolute value |P R (t) of the target power of the hybrid energy storage system at time t is greater than the dead zone range, the hybrid energy storage system enters the normal charging and discharging state.

[0078] To reduce the life loss of lithium batteries and fully utilize the long cycle life of supercapacitors, when the hybrid energy storage system is in the normal charging and discharging state, the supercapacitors are preferentially discharged and the lithium batteries are supplemented to assist the unit frequency modulation. For example, in combination with FIG. 3, when the hybrid energy storage system is in the normal charging and discharging state, the discharging condition is represented by formula 6 and the charging condition is represented by formula 7:

[0079] wherein P C represents the target power of the supercapacitors. P L represents the target power of the lithium batteries. P Cmax represents the maximum output power of the supercapacitors. P Lmax represents the maximum output power of the lithium batteries. P R (t) represents the target power of the hybrid energy storage system at time t, P R (t) < 0 represents that the target power P R < 0 of the hybrid energy storage system at time t is less than 0.

[0080] The hybrid energy storage system control method provided by the embodiment of the present disclosure improves the overall energy utilization efficiency of the hybrid energy storage system, reduces the cycle times of lithium batteries, prolongs the service life of the lithium batteries, enhances the secondary frequency modulation capability of the wind farm through the optimized control strategy, stabilizes the grid frequency, and improves the response speed and adjustment capability of the system by combining the advantages of high power density of supercapacitors and high energy density of lithium batteries.

[0081] Another embodiment of the present disclosure relates to a hybrid energy storage system control device, as shown in FIG. 4, which includes an acquisition module 410, a calculation module 420, a first control module 430, a second control module 440, and a third control module 450.

[0082] The acquisition module 410 is configured to acquire real-time operation data of the wind turbine and the hybrid energy storage system.

[0083] The calculation module 420 is configured to calculate the target power of the hybrid energy storage system based on the real-time operation data.

[0084] The first control module 430 is configured to determine whether the supercapacitor and the lithium battery are both in the corresponding preset state of charge interval based on the real-time operation data, and if not, control the hybrid energy storage system to enter the forced charging and discharging state.

[0085] The second control module 440 is configured to determine whether the absolute value of the target power of the hybrid energy storage system is less than the power dead zone based on the real-time operation data, and if so, control the hybrid energy storage system to enter the recovery charging and discharging state.

[0086] The third control module 450 is configured to determine whether the normal charging and discharging condition is met based on the real-time operation data, and if so, control the hybrid energy storage system to enter the normal charging and discharging state.

[0087] The specific implementation method of the hybrid energy storage system control device provided by the embodiment of the present disclosure can be referred to the hybrid energy storage system control method provided by the embodiment of the present disclosure, which will not be described here.

[0088] The hybrid energy storage system control device provided by the embodiment of the present disclosure improves the overall energy utilization efficiency of the hybrid energy storage system, reduces the cycle number of the lithium battery, prolongs the service life of the lithium battery, enhances the secondary frequency modulation capability of the wind farm through the optimized control strategy, stabilizes the power grid frequency, and improves the response speed and adjustment capability of the system by combining the advantages of high power density of the supercapacitor and high energy density of the lithium battery.

[0089] Another embodiment of the present disclosure relates to an electronic device, as shown in FIG. 5, comprising:

[0090] at least one processor 501; and

[0091] a memory 502 in communication connection with the at least one processor 501; wherein

[0092] The memory 502 stores instructions executable by the at least one processor 501, and the instructions are executed by the at least one processor 501 to enable the at least one processor 501 to perform the hybrid energy storage system control method described in the above embodiments.

[0093] The memory and the processor are connected by a bus. The bus can include any number of interconnecting buses and bridges depending on the specific application of the multimedia system. The bus connects the various circuits of the one or more processors and the memory together and can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, all of which are well known in the art, and therefore, will not be described any further. A bus interface provides an interface between the bus and a transceiver. The transceiver can be a single device or a plurality of devices such as a plurality of receivers and transmitters that provide the means for communicating with various other apparatus over a transmission medium. Data processed by the processor is transmitted over a wireless medium via an antenna. Further, the antenna also receives data and transmits the data to the processor.

[0094] The processor is responsible for managing the bus and general processing, and can also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. The memory can be used for storing data used by the processor when executing operations.

[0095] Another embodiment of the present disclosure relates to a computer readable storage medium storing a computer program, which, when executed by a processor, implements the hybrid energy storage system control method described in the above embodiments.

[0096] That is, those skilled in the art can understand that all or part of the steps of the method described in the above embodiments can be completed by programs instructing relevant hardware, and the programs are stored in a storage medium and include a plurality of instructions for causing an apparatus (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute all or part of the steps of the method described in the embodiments of the present disclosure. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0097] Those skilled in the art can understand that the above embodiments are specific embodiments for implementing the present disclosure, and in actual applications, various changes can be made in form and details without departing from the spirit and scope of the present disclosure.

Claims

1. A hybrid energy storage system control method, characterized by, The control method comprises: acquiring real-time operation data of a wind turbine and a hybrid energy storage system; calculating a target power of the hybrid energy storage system based on the real-time operation data; judging whether the supercapacitor and the lithium battery are both in corresponding preset state-of-charge intervals based on the real-time operation data, and if not, controlling the hybrid energy storage system to enter a forced charging and discharging state; judging whether an absolute value of the target power of the hybrid energy storage system is less than a power dead zone based on the real-time operation data, and if so, controlling the hybrid energy storage system to enter a recovery charging and discharging state; judging whether a normal charging and discharging condition is met based on the real-time operation data, and if so, controlling the hybrid energy storage system to enter a normal charging and discharging state.

2. The control method according to claim 1, characterized by, The calculation of the target power of the hybrid energy storage system based on the real-time operation data comprises: calculating the target power of the hybrid energy storage system according to Formula 1: P R = P A - P F Equation 1 ; where P R represents the target power of the hybrid energy storage system, P A represents the power indicated by the automatic generation control instruction, P F represents the wind turbine power.

3. The control method according to claim 2, characterized by, When the hybrid energy storage system is in the forced charging and discharging state, if the state of charge of the supercapacitor exceeds the corresponding maximum value and the lithium battery is in the corresponding preset state of charge interval, the target power of the supercapacitor and the lithium battery is represented as formula 2: where P C represents the target power of the supercapacitor, P L represents the target power of the lithium battery, P CF represents the forced discharge power of the supercapacitor, P Lmax represents the maximum output power of the lithium battery.

4. The control method according to claim 2, characterized by, When the hybrid energy storage system is in the forced charging and discharging state, if the state of charge of the lithium battery exceeds the corresponding maximum value and the supercapacitor is in the corresponding preset state of charge interval, the target power of the supercapacitor and the lithium battery is represented by formula 3: where P C represents the target power of the supercapacitor, P L represents the target power of the lithium battery, P LF represents the forced discharge power of the lithium battery, P Cmax represents the maximum output power of the supercapacitor.

5. The control method according to claim 2, characterized by, When the hybrid energy storage system is in the forced charging and discharging state, if the state-of-charge of the supercapacitor exceeds its corresponding maximum value and the state-of-charge of the lithium battery also exceeds its corresponding maximum value, the target power of the supercapacitor and the target power of the lithium battery are both 0.

6. The control method according to claim 1, characterized by When the target power of the hybrid energy storage system is in the power dead zone, the target power of the lithium battery is represented by Equation 4, and the target power of the super capacitor is represented by Equation 5: wherein P L represents the target power of the lithium battery, P LS represents the recovery discharge power of the lithium battery, S OCL represents the state of charge of the lithium battery, S0represents the initial value of the state of charge; where P C represents the target power of the supercapacitor, P CS represents the recovery discharge power of the supercapacitor, S OCC represents the state of charge of the supercapacitor.

7. The control method according to claim 2, characterized by, When the hybrid energy storage system is in a normal charging and discharging state, the discharging condition is represented by formula 6, and the charging condition is represented by formula 7: where P C represents the target power of the supercapacitor, P L represents the target power of the lithium battery, P Cmax represents the maximum output power of the supercapacitor, P Lmax represents the maximum output power of the lithium battery, P R (t) represents the target power of the hybrid energy storage system at time t.

8. A hybrid energy storage system control device, characterized by, The control device comprises: an acquisition module configured to acquire real-time operation data of a wind turbine and a hybrid energy storage system; a calculation module configured to calculate a target power of the hybrid energy storage system based on the real-time operation data; a first control module configured to judge whether the supercapacitor and the lithium battery are both in corresponding preset state-of-charge intervals based on the real-time operation data, and if not, control the hybrid energy storage system to enter a forced charging and discharging state; a second control module configured to judge whether an absolute value of the target power of the hybrid energy storage system is less than a power dead zone based on the real-time operation data, and if so, control the hybrid energy storage system to enter a recovery charging and discharging state; a third control module configured to judge whether a normal charging and discharging condition is met based on the real-time operation data, and if so, control the hybrid energy storage system to enter a normal charging and discharging state.

9. An electronic device, comprising: comprise: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the hybrid energy storage system control method in any one of claims 1 to 7.

10. A computer readable storage medium storing a computer program, characterized in that, The computer program is executed by the processor to implement the hybrid energy storage system control method in any one of claims 1 to 7.

Images