Hybrid energy storage system of composite turbine power generation system and control method thereof

Abstract

The invention provides a hybrid energy storage system of a composite turbine power generation system and a control method thereof, the composite turbine power generation system comprises a power generation system, a control system and an energy storage system which are connected in sequence, the energy storage system comprises a storage battery pack and a supercapacitor, and the control method is applied to the control system. Comprising the steps of determining first bus power of a power transmission bus based on a first difference value between output power of a power generation system and consumed power of a load electrically connected with an energy storage system; dividing the first bus power into first power and second power by using a filter, and determining a first reference current of the storage battery pack based on the first power; determining a first output duty cycle based on a second difference between the first reference current and a first actual current of the battery pack; optimizing the first output duty ratio by using an optimization algorithm to minimize the first output duty ratio to obtain a first minimum duty ratio; and determining the power distributed to the storage battery pack and the power of the supercapacitor according to the first minimum duty ratio.

Description

Technical Field

[0001] The present disclosure relates to the technical field of hybrid energy storage of a vehicle waste heat recovery engine connected in series with a compound turbine power generation system, and more specifically, to a hybrid energy storage system of a compound turbine power generation system and a control method thereof. Background Art

[0002] Improving the thermal efficiency of internal combustion engines and reducing fuel consumption and emissions are important trends in the development of the industry. Exhaust emissions are an important part of the energy loss of internal combustion engines. Using exhaust energy in series with a compound turbine to generate electricity through waste heat recovery technology is an important way to improve the total energy utilization of the engine. Affected by the real-time changes in vehicle operating conditions, exhaust energy exhibits significant non-steady-state characteristics, and the turbine power generation system has highly volatile, intermittent and random power generation characteristics. However, this power generation characteristic will seriously affect the energy storage structure's ability to absorb power generation, thereby affecting the final power generation efficiency. This puts higher demands on the energy storage structure and control methods.

[0003] At present, research on the design and control methods of energy storage structures that cope with high volatility and other power generation characteristics has mostly appeared in the field of wind power generation. The hybrid energy storage device, which is a hybrid structure of battery packs and supercapacitors, consists of a wind turbine (converting wind energy into mechanical energy), a permanent magnet direct-drive synchronous generator (converting mechanical energy into electrical energy output), a machine-side converter (composed of an uncontrolled rectifier circuit and a switching power supply circuit, converting AC power into DC power), a grid-side converter (composed of an insulated gate bipolar transistor to form a three-phase fully controlled inverter bridge, converting DC power into AC power for wind power grid connection), a battery pack, a supercapacitor and two sets of bidirectional DC / DC converters to form a hybrid energy storage device of the system. The battery energy storage system adopts a power and current dual closed-loop control strategy, and the supercapacitor energy storage system adopts a voltage and current dual closed-loop control strategy, thereby achieving wind power smoothing and improving low-voltage fault ride-through capability. However, it is mainly a passive control strategy. It does not actively limit the charging / discharging current and voltage, nor does it predict and output its duty cycle modulation signal based on the margin of its energy storage structure. There are problems in monitoring the operation of the energy storage structure and controlling its service life. Summary of the invention

[0004] In order to solve at least one of the technical problems in the prior art, the embodiments of the present disclosure provide a hybrid energy storage system of a compound turbine power generation system and a control method thereof, which can adjust the power allocated to the battery pack and the power of the supercapacitor in combination with the operating conditions of the energy storage system, thereby improving the overall performance of the energy storage system.

[0005] An embodiment of the present disclosure provides a control method for hybrid energy storage of a compound turbine power generation system, wherein the compound turbine power generation system includes a power generation system, a control system and an energy storage system connected in sequence, wherein the energy storage system is electrically connected to the control system via a transmission bus, wherein the energy storage system includes a battery pack and a supercapacitor, and the control method is applied to the control system, wherein the control method includes: determining a first bus power of the transmission bus based on a first difference between an output power of the power generation system and a power consumption of a load electrically connected to the energy storage system; dividing the first bus power into a first power and a second power by using a filter, and determining a first reference current of the battery pack based on the first power; determining a first output duty cycle based on a second difference between the first reference current and a first actual current of the battery pack; optimizing the first output duty cycle by using an optimization algorithm to minimize the first output duty cycle and obtain a first minimum duty cycle; and determining the power allocated to the battery pack and the power of the supercapacitor based on the first minimum duty cycle.

[0006] According to some embodiments of the present disclosure, determining the power allocated to the battery pack and the power of the supercapacitor according to the first minimum duty cycle includes: adjusting the power allocated to the battery pack by controlling the filter based on the first minimum duty cycle; and determining the power allocated to the supercapacitor according to the power of the battery pack.

[0007] According to some embodiments of the present disclosure, when the power of the first bus is a positive number, the energy storage system is charged from the transmission bus; when the power of the first bus is a negative number, the energy storage system is discharged to the transmission bus.

[0008] According to some embodiments of the present disclosure, the above-mentioned use of a filter to divide the above-mentioned first bus power into a first power and a second power, and based on the above-mentioned first power, determining the first reference current of the above-mentioned battery pack includes: obtaining the above-mentioned first reference current based on the above-mentioned first power and the first real-time voltage of the above-mentioned battery pack.

[0009] According to some embodiments of the present disclosure, determining the first output duty cycle based on the second difference between the first reference current and the first actual current of the battery pack includes: utilizing a prediction model controller to obtain a first modulation signal matching the second difference based on the second difference; and utilizing a pulse modulation generator to obtain the first output duty cycle matching the first modulation signal based on the first modulation signal.

[0010] According to some embodiments of the present disclosure, the above-mentioned first output duty cycle is optimized by using an optimization algorithm so as to minimize the above-mentioned first output duty cycle, and obtaining the first minimum duty cycle includes: based on the second bus power of the above-mentioned transmission bus at the k+i+1th moment and the second real-time voltage of the above-mentioned transmission bus at the k+i+1th moment, obtaining the second reference current of the above-mentioned transmission bus at the k+i+1th moment, k is a positive integer, i=0, 1, 2, 3...; based on the above-mentioned second reference current and the second actual current of the above-mentioned battery pack at the kth moment, according to the above-mentioned optimization algorithm, predicting the third actual current of the above-mentioned battery pack at the k+i+1th moment; based on the third difference between the above-mentioned third actual current and the above-mentioned second actual current, determining the second output duty cycle at the k+i+1th moment, wherein the above-mentioned second output duty cycle is less than the above-mentioned first output duty cycle; when the above-mentioned second output duty cycle satisfies a predetermined condition, determining the above-mentioned second output duty cycle as the above-mentioned first minimum duty cycle.

[0011] According to some embodiments of the present disclosure, based on the second reference current and the second actual current of the battery pack at the kth moment, according to the optimization algorithm, predicting the third actual current of the battery pack at the k+i+1th moment includes: predicting the third actual current by the following formula: ;in, It is expressed as the weight of the bus current of the above transmission bus, It is represented as the fourth actual current of the above transmission bus at the k+i+1th moment, It is represented as the second reference current of the transmission bus at the k+i+1th moment, is expressed as the weight of the reference current of the above battery pack, It is represented by the third actual current of the battery pack at the k+i+1th moment, It is represented by the second actual current of the battery pack at the kth moment, where k is a positive integer, i=0, 1, 2, 3…

[0012] According to some embodiments of the present disclosure, determining the second output duty cycle at the k+i+1th moment based on the third difference between the third actual current and the second actual current includes: using the prediction model controller to obtain a second modulation signal matching the third difference based on the third difference; and using the pulse modulation generator to obtain the second output duty cycle matching the second modulation signal based on the second modulation signal.

[0013] According to some embodiments of the present disclosure, the power generation system includes an exhaust valve, an exhaust gas turbine, an exhaust gas turbine bypass valve, a power turbine, a power turbine bypass valve and a generator set; the gas enters the power generation system through the exhaust valve; the exhaust gas turbine is connected to the exhaust valve, the exhaust gas turbine bypass valve is connected in parallel with the exhaust gas turbine, and the exhaust gas turbine pressurizes the gas when the gas flows through the exhaust gas turbine; the power turbine is connected in series with the exhaust gas turbine, the power turbine bypass valve is connected in parallel with the power turbine, and after receiving the pressurized gas, the power turbine drives the generator set coaxially connected to the power turbine, so that the generator set generates electricity, and the control method also includes: when the power of the battery group is greater than or equal to the predetermined charging power, opening the power turbine bypass valve.

[0014] According to some embodiments of another aspect of the present disclosure, a hybrid energy storage system of a compound turbine power generation system is provided, which is suitable for implementing the control method of hybrid energy storage for the compound turbine power generation system, wherein the compound turbine power generation system includes a power generation system, a control system and an energy storage system connected in sequence, the energy storage system is electrically connected to the control system through a transmission bus, the energy storage system includes a battery pack and a supercapacitor, and the control system includes: a first determination module, which is used to determine the first bus power of the transmission bus based on a first difference between the output power of the power generation system and the power consumption of a load electrically connected to the energy storage system; a second determination module, which is used to divide the first bus power into a first power and a second power by using a filter, and determine a first reference current of the battery pack based on the first power; a third determination module, which is used to determine a first output duty cycle based on a second difference between the first reference current and the first actual current of the battery pack; an optimization module, which is used to optimize the first output duty cycle by using an optimization algorithm, so that the first output duty cycle is minimized to obtain a first minimum duty cycle; and an adjustment module, which is used to determine the power allocated to the battery pack and the power of the supercapacitor according to the first minimum duty cycle.

[0015] According to an embodiment of the present disclosure, a hybrid energy storage system of a compound turbine power generation system and a control method thereof, the compound turbine power generation system includes a power generation system, a control system and an energy storage system connected in sequence, the energy storage system is electrically connected to the control system through a transmission bus, the energy storage system includes a battery pack and a supercapacitor, the control method is applied to the control system, based on a first difference between the output power of the power generation system and the power consumption of a load electrically connected to the energy storage system, the first bus power of the transmission bus is determined, the first bus power is divided into a first power and a second power by a filter, and based on the first power, a first reference current of the battery pack is determined, based on a second difference between the first reference current and a first actual current of the battery pack, a first output duty cycle is determined, the first output duty cycle is optimized by an optimization algorithm to minimize the first output duty cycle, and a first minimum duty cycle is obtained, and the power allocated to the battery pack and the power of the supercapacitor are determined according to the first minimum duty cycle, and the power allocated to the battery pack and the power of the supercapacitor can be adjusted in combination with the operation of the energy storage system to improve the overall performance of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flow chart of a control method for hybrid energy storage in a compound turbine power generation system according to an illustrative embodiment of the present disclosure;

[0017] Figure 2 is a block diagram of a hybrid energy storage of a compound turbine power generation system according to an illustrative embodiment of the present disclosure;

[0018] Figure 3 is a block diagram of an optimization control strategy of a hybrid energy storage system charging / discharging and prediction model controller according to an illustrative embodiment of the present disclosure;

[0019] Figure 4 is a flowchart of sub-steps of determining a first output duty cycle according to an illustrative embodiment of the present disclosure;

[0020] Figure 5 is a flowchart of sub-steps of obtaining a first minimum duty cycle according to an illustrative embodiment of the present disclosure;

[0021] Figure 6 is a flowchart of sub-steps of determining a second output duty cycle at the k+i+1th moment according to an exemplary embodiment of the present disclosure;

[0022] Figure 7 is a block diagram of a control system according to an illustrative embodiment of the present disclosure;

[0023] Figure 8 is a block diagram of an electronic device for a hybrid energy storage control method of a compound turbine power generation system according to an illustrative embodiment of the present disclosure.

[0024] In the drawings, the meanings of the reference numerals are as follows:

[0025] 1. Engine;

[0026] 2. Intercooler;

[0027] 3. Compressor;

[0028] 4. Exhaust gas turbine;

[0029] 5. Power turbine;

[0030] 6. Power turbine bypass valve;

[0031] 7. Exhaust turbine bypass valve;

[0032] 8. Generator set;

[0033] 9. Three-phase bridge fully controlled rectifier;

[0034] 10. Maximum power point tracking controller;

[0035] 11. DC converter;

[0036] 12. Transmission busbar;

[0037] 13. Vehicle load;

[0038] 14. Battery pack bidirectional DC converter;

[0039] 15. Supercapacitor bidirectional DC converter;

[0040] 16. Hybrid energy storage system charging / discharging and prediction model controller;

[0041] 17. Supercapacitor;

[0042] 18. Battery pack;

[0043] 19. Filter;

[0044] 20. Predictive model controller;

[0045] 21. Pulse modulation generator. DETAILED DESCRIPTION

[0046] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0047] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0048] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0049] In the case of using expressions such as "at least one of A, B, and C, etc.", it should generally be interpreted in accordance with the meaning of the expression generally understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.). In the case of using expressions such as "at least one of A, B, or C, etc.", it should generally be interpreted in accordance with the meaning of the expression generally understood by those skilled in the art (for example, "a system having at least one of A, B, or C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0050] The existing technology pays more attention to wind power smoothing and improving low voltage fault ride-through capability, but does not monitor and control the operation and service life of the energy storage system. In order to improve the power quality and extend the service life of the energy storage system, according to the inventive concept of one aspect of the present disclosure, the compound turbine power generation system includes a power generation system, a control system and an energy storage system connected in sequence, the energy storage system is electrically connected to the control system through a transmission bus, the energy storage system includes a battery pack and a supercapacitor, and the control method is applied to the control system. Based on the first difference between the output power of the power generation system and the power consumption of the load electrically connected to the energy storage system, the transmission bus is determined. The first bus power is divided into the first power and the second power by using a filter, and based on the first power, a first reference current of the battery pack is determined, based on a second difference between the first reference current and the first actual current of the battery pack, a first output duty cycle is determined, and the first output duty cycle is optimized by using an optimization algorithm to minimize the first output duty cycle to obtain a first minimum duty cycle, and the power allocated to the battery pack and the power of the supercapacitor are determined according to the first minimum duty cycle, and the power allocated to the battery pack and the power of the supercapacitor can be adjusted in combination with the operation of the energy storage system to improve the overall performance of the energy storage system.

[0051] Figure 1 is a flow chart of a control method for hybrid energy storage in a compound turbine power generation system according to an exemplary embodiment of the present disclosure. Figure 2 is a block diagram of a hybrid energy storage of a compound turbine power generation system according to an illustrative embodiment of the present disclosure.

[0052] According to an embodiment of the present disclosure, a control method for hybrid energy storage of a compound turbine power generation system is provided, such as Figure 2 As shown, the compound turbine power generation system includes a power generation system, a control system and an energy storage system connected in sequence. The energy storage system is electrically connected to the control system through a transmission bus 12. The energy storage system includes a battery pack 18 and a supercapacitor 17. The control method is applied to the control system, such as Figure 1 As shown, the control method includes the following steps S1 to S5.

[0053] Step S1: determining a first bus power of the transmission bus 12 based on a first difference between an output power of the power generation system and a power consumption of a load electrically connected to the energy storage system.

[0054] According to an embodiment of the present disclosure, based on the output power P of the power generation system output and the power consumption P of the load (vehicle load 13) electrically connected to the energy storage system load The first bus power P of the transmission bus 12 is calculated by the following formula (1): m :

[0055] P m =P output -P load (1).

[0056] Step S2: using the filter 19 to divide the first bus power into a first power and a second power, and determining a first reference current of the battery group 18 based on the first power.

[0057] Step S3 : determining a first output duty cycle based on a second difference between the first reference current and the first actual current of the battery pack 18 .

[0058] Step S4: Optimizing the first output duty cycle by using an optimization algorithm to minimize the first output duty cycle and obtain a first minimum duty cycle.

[0059] Step S5: Determine the power allocated to the battery pack 18 and the power of the supercapacitor 17 according to the first minimum duty cycle.

[0060] According to an embodiment of the present disclosure, the power generation system includes an engine 1, an intercooler 2, a compressor 3, an exhaust valve, an exhaust gas turbine 4, an exhaust gas turbine bypass valve 7, a power turbine 5, a power turbine bypass valve 6 and a generator set 8. The gas enters the power generation system through the exhaust valve, the engine 1 is used to convert chemical energy into thermal energy, the intercooler 2 is used to reduce the gas temperature, increase the intake density of the engine 1, and improve the performance and efficiency of the engine 1, the compressor 3 is used to increase the pressure of the gas, and increase the power and torque of the engine 1, the exhaust gas turbine 4 is connected to the exhaust valve, the exhaust gas turbine bypass valve 7 is connected in parallel with the exhaust gas turbine 4, and the exhaust gas turbine bypass valve 7 is used to adjust whether the exhaust gas flows through the exhaust gas turbine 4, and the exhaust gas turbine 4 pressurizes the gas when the gas flows through the exhaust gas turbine 4. The power turbine 5 is connected in series with the exhaust gas turbine 4, and the power turbine bypass valve 6 is connected in parallel with the power turbine 5. The power turbine bypass valve 6 is used to adjust whether the exhaust gas flows through the power turbine 5 (whether to generate electricity). The power turbine 5 is used to convert thermal energy into mechanical energy. After receiving the pressurized gas, the power turbine 5 drives the generator set 8 coaxially connected to the power turbine 5, so that the generator set 8 generates electricity. The generator set 8 is used to convert mechanical energy into electrical energy and then output it.

[0061] According to the embodiment of the present disclosure, the control system is at the starting end of the transmission bus 12, and the control system includes a three-phase bridge-type fully-controlled rectifier 9 (AC / DC), a maximum power point tracking controller 10 (MPPT controller) and a DC converter 11 (DC / DC). The three-phase bridge-type fully-controlled rectifier 9 is used to convert three-phase AC power into DC power and collect DC side current and voltage (I dc , U dc ), to achieve DC voltage regulation. The MPPT controller is used to output the optimal duty cycle d using the DC side current and voltage as signals. opThe DC converter 11 is used for voltage conversion and preliminary stabilization.

[0062] According to an embodiment of the present disclosure, the energy storage system includes a hybrid energy storage system charge / discharge and prediction model controller 16, a battery pack bidirectional DC converter 14 (DC / DC), a battery pack 18, a supercapacitor bidirectional DC converter 15 (DC / DC) and a supercapacitor 17. The energy storage system includes a hybrid energy storage system charge / discharge and prediction model controller 16 for judging the charging or discharging state based on the prediction limit according to the demand of the transmission bus 12 or the power released by the transmission bus 12 and controlling the battery pack bidirectional DC converter 14 (DC / DC) and the supercapacitor bidirectional DC converter 15 (DC / DC). The battery pack bidirectional DC converter 14 (DC / DC) and the supercapacitor bidirectional DC converter 15 (DC / DC) are used for voltage conversion for charging or discharging. The battery pack 18 and the supercapacitor 17 are used to store output electrical energy. The battery pack 18 and the supercapacitor 17 are connected to the transmission bus 12 through the battery pack bidirectional DC converter 14 (DC / DC) and the supercapacitor bidirectional DC converter 15 (DC / DC) respectively. The hybrid energy storage system charging / discharging and prediction model controller 16 monitors the power required by the transmission bus 12 in real time, predicts and controls the current and voltage limits and charging or discharging margin of the energy storage system, thereby improving the efficiency, stability and flexibility of the energy storage system and extending its service life.

[0063] According to the embodiment of the present disclosure, the battery pack 18 can select a lead-acid battery pack or a lithium battery pack, which has the advantages of high energy density, long energy storage time, and relatively mature technology. However, this device based on redox catalytic reaction to achieve energy storage has the disadvantages of slow charging and discharging speed, low power density, and short cycle life. Affected by the vehicle's operating state, the exhaust energy of the engine 1 shows non-steady-state characteristics, so its turbine power generation system has high volatility, intermittent and random power generation characteristics. Therefore, a storage element with high power density and fast dynamic response speed is needed. Supercapacitor (SC) is a power-type energy storage element, which has the advantages of high power density, fast response speed, strong release ability, large charge and discharge depth and long cycle life, but has problems such as low energy density. In summary, the supercapacitor 17 and the battery pack 18 complement each other, and combining them into a hybrid energy storage system (HESS) can improve the stability, flexibility and efficiency of the energy storage element. The present disclosure introduces a hybrid energy storage system into the field of vehicle waste heat recovery turbine power generation energy storage.

[0064] According to an embodiment of the present disclosure, a compound turbine power generation system includes a power generation system, a control system and an energy storage system connected in sequence, the energy storage system is electrically connected to the control system through a transmission bus 12, the energy storage system includes a battery pack 18 and a supercapacitor 17, and a control method is applied to the control system. Based on a first difference between an output power of the power generation system and a power consumption of a load electrically connected to the energy storage system, a first bus power of the transmission bus 12 is determined, a filter 19 is used to divide the first bus power into a first power and a second power, and based on the first power, a first reference current of the battery pack 18 is determined, based on a second difference between the first reference current and a first actual current of the battery pack 18, a first output duty cycle is determined, and the first output duty cycle is optimized using an optimization algorithm to minimize the first output duty cycle and obtain a first minimum duty cycle. According to the first minimum duty cycle, the power allocated to the battery pack 18 and the power of the supercapacitor 17 are determined, and the power allocated to the battery pack 18 and the power of the supercapacitor 17 can be adjusted in combination with the operation of the energy storage system to improve the overall performance of the energy storage system.

[0065] According to an embodiment of the present disclosure, when the first bus power is positive, the energy storage system is charged from the transmission bus 12. When the first bus power is negative, the energy storage system is discharged to the transmission bus 12.

[0066] According to an embodiment of the present disclosure, according to the first bus power P of the transmission bus 12 m The positive or negative value of determines the working state of the hybrid energy storage system charge / discharge controller. m When the first bus power P is positive, the energy storage system is charged from the transmission bus 12. m When the first bus power P is negative, the energy storage system discharges to the transmission bus 12 and supplies power to the vehicle together with the generator set 8. m If it is zero, there is no need to participate in the work.

[0067] According to an embodiment of the present disclosure, based on the first bus power P m and the real-time voltage U of the transmission bus 12 m , the reference current I of the transmission bus 12 is determined by the following formula (2): m_ref :

[0068] I m_ref = (2).

[0069] Figure 3 It is a block diagram of an optimization control strategy of a hybrid energy storage system charging / discharging and prediction model controller 16 according to an illustrative embodiment of the present disclosure.

[0070] According to the embodiments of the present disclosure, Figure 3As shown, the first bus power P is converted by filter 19 m Divided into the first power P L and the second power P H , and based on the first power P L , determine the first reference current I of the battery pack 18 bat_ref Including: Based on the first power P L and the first real-time voltage of the battery pack 18 to obtain the first reference current.

[0071] According to an embodiment of the present disclosure, the filter 19 may select a low pass filter (LPF).

[0072] According to an embodiment of the present disclosure, based on the first power P L and the first real-time voltage U of the battery pack 18 bat , the first reference current I is obtained by the following formula (3): bat_ref :

[0073] I bat_ref = (3).

[0074] Figure 4 is a flowchart of sub-steps of determining a first output duty cycle according to an illustrative embodiment of the present disclosure.

[0075] According to the embodiments of the present disclosure, Figure 4 As shown, based on the first reference current I bat_ref and the first actual current I of the battery pack 18 bat The second difference between I bat , determine the first output duty cycle d bat It includes the following steps S31 to S32.

[0076] Step S31: Using the prediction model controller 20, based on the second difference I bat , and obtain the first modulation signal m that matches the second difference bat .

[0077] According to an embodiment of the present disclosure, the first reference current I bat_ref and the first actual current I of the battery pack 18 bat The second difference between I bat It can be expressed by the following formula (4):

[0078] I bat =I bat_ref -I bat (4).

[0079] According to an embodiment of the present disclosure, the predictive model controller MPC (Model Predictive Control) converts the second difference I bat As input, the predictive model controller MPC will determine the first real-time voltage U of the battery pack 18 bat and the first actual current I of the battery pack 18 bat Whether it is within a given range and cannot exceed a given limit is expressed by the following formulas (5) and (6):

[0080] U bat_min <U bat <U bat_max (5);

[0081] I bat_min <I bat <I bat_ max (6).

[0082] Step S32: Using the pulse modulation (PWM) generator 21, based on the first modulation signal m bat , and the first modulated signal m bat Matches the first output duty cycle d bat , the first modulation signal m bat and the first output duty cycle d bat The relationship can be expressed by the following formula (7):

[0083] m bat =1-d bat (7).

[0084] Figure 5 is a flowchart of sub-steps of obtaining a first minimum duty cycle according to an illustrative embodiment of the present disclosure.

[0085] According to the embodiments of the present disclosure, Figure 5 As shown, the first output duty cycle d is optimized by using an optimization algorithm. bat Optimize so that the first output duty cycle d bat Minimizing and obtaining the first minimum duty cycle includes the following steps S41 to S44.

[0086] Step S41: Based on the second bus power of the transmission bus 12 at the k+i+1th moment and the second real-time voltage of the transmission bus 12 at the k+i+1th moment , and obtain the second reference current I of the transmission bus 12 at the k+i+1th moment m_ref (k+i+1), k is a positive integer, i=0, 1, 2, 3…

[0087] According to an embodiment of the present disclosure, the second reference current I of the transmission bus 12 at the k+i+1th moment is calculated by the following formula (8): m_ref (k+i+1):

[0088] I m_ref (k+i+1) = (8).

[0089] Step S42: Based on the second reference current and the second actual current of the battery pack 18 at the kth moment, according to the optimization algorithm, predict the third actual current of the battery pack 18 at the k+i+1th moment.

[0090] According to an embodiment of the present disclosure, based on the second reference current and the second actual current of the battery pack 18 at the kth moment, according to the optimization algorithm, predicting the third actual current of the battery pack 18 at the k+i+1th moment includes: predicting the third actual current by the following formula (9):

[0091] (9);

[0092] Among them, J represents the minimization objective function, It is represented as the weight of the bus current of the transmission bus 12, It is represented as the fourth actual current of the transmission bus 12 at the k+i+1th moment, It is represented as the second reference current of the transmission bus 12 at the k+i+1th moment, is represented as the weight of the reference current of the battery pack 18, It is represented as the third actual current of the battery pack 18 at the k+i+1th moment, It is represented as the second actual current of the battery group 18 at the kth moment, where k is a positive integer, i=0, 1, 2, 3, . . .

[0093] According to an embodiment of the present disclosure, by adjusting the weight of the bus current of the transmission bus 12 and the weight of the reference current of the battery pack 18 The prediction model controller MPC will predict the third actual current of the battery pack 18 at the k+i+1th moment in real time at the kth moment. and the fourth actual current of the transmission bus 12 at the k+i+1th moment The larger the weight, the smaller the response of the battery pack 18 to the current fluctuation, and the remaining excessive current fluctuation is responded by the supercapacitor 17 to achieve the power fluctuation smoothing of the power generation system.

[0094] Step S43: Based on the third actual current and the second actual current The third difference between Ibat (k+i+1), determine the second output duty cycle d at the k+i+1th moment bat (k+i+1), where the second output duty cycle d bat (k+i+1) is less than the first output duty cycle d bat .

[0095] According to an embodiment of the present disclosure, the third actual current and the second actual current The third difference between I bat (k+i+1) can be expressed by the following formula (10):

[0096] I bat (k+i+1)=I bat (k+i+1)-I bat (k)(10).

[0097] Figure 6 is a flowchart of sub-steps of determining the second output duty cycle at the k+i+1th moment according to an illustrative embodiment of the present disclosure.

[0098] According to the embodiments of the present disclosure, Figure 6 As shown, based on the third actual current and the second actual current The third difference between I bat (k+i+1), determine the second output duty cycle d at the k+i+1th moment bat (k+i+1) includes the following steps S431~step S432.

[0099] Step S431: Using the prediction model controller 20, based on the third difference I bat (k+i+1), get the difference with the third I bat (k+i+1) matches the second modulation signal m bat (k+i+1).

[0100] At the same time, combined with the given margin SOC, the given margin SOC is 10%~90%, the second modulation signal m bat (k+i+1) must be expressed within the limit using the following formula (11):

[0101] m bat_min <m bat (k+i+1)<m bat_ max (11).

[0102] Step S432: Using the pulse modulation generator 21, based on the second modulation signal m bat (k+i+1), and the second modulated signal m bat (k+i+1) matches the second output duty cycle d bat (k+i+1).

[0103] According to an embodiment of the present disclosure, the second modulation signal m bat (k+i+1) and the second output duty cycle d bat The relationship of (k+i+1) can be expressed by the following formula (12):

[0104] m bat (k+i+1)=1-d bat (k+i+1)(12).

[0105] Step S44: At the second output duty cycle d bat When (k+i+1) satisfies the predetermined condition, the second output duty cycle d bat (k+i+1) is determined as the first minimum duty cycle.

[0106] According to an embodiment of the present disclosure, the control method further includes opening the power turbine bypass valve 6 when the power of the battery pack 18 is greater than or equal to a predetermined charging power.

[0107] According to the embodiment of the present disclosure, when the power of the battery pack 18 is greater than or equal to the upper charging limit, the power turbine bypass valve 6 is opened to achieve the second output duty cycle d bat (k+i+1) is an effective control for the MPPT controller.

[0108] According to an embodiment of the present disclosure, determining the power allocated to the battery pack 18 and the power allocated to the supercapacitor 17 according to the first minimum duty cycle includes: adjusting the power allocated to the battery pack 18 by controlling the filter 19 based on the first minimum duty cycle, and then determining the power allocated to the supercapacitor 17 according to the power of the battery pack 18.

[0109] According to an embodiment of the present disclosure, based on the first minimum duty cycle, the power (low frequency) allocated to the battery pack 18 is adjusted by controlling the filter 19, and then the power (high frequency) allocated to the supercapacitor 17 is determined according to the power of the battery pack 18, thereby achieving optimal power distribution, that is, the battery pack 18 absorbs or releases low-frequency power, and the supercapacitor 17 absorbs or releases high-frequency power, so that the engine 1 can output the optimal power generation power to the transmission bus 12 under any operating conditions.

[0110] According to an embodiment of the present disclosure, for the supercapacitor 17 side, first based on the second power P Hand the third real-time voltage U of the supercapacitor 17 sc , the third reference current I is obtained by the following formula (13): sc_ref :

[0111] I sc_ref = (13).

[0112] According to an embodiment of the present disclosure, the third reference current I sc_ref and the fifth actual current I of the supercapacitor 17 sc The fourth difference between I sc It can be expressed by the following formula (14):

[0113] I sc =I sc_ref -I sc (14).

[0114] According to an embodiment of the present disclosure, the predictive model controller MPC (Model Predictive Control) converts the fourth difference I sc As input, the predictive model controller MPC will determine the third real-time voltage U of the supercapacitor 17 sc and the fifth actual current I of the supercapacitor 17 sc Whether it is within a given range and cannot exceed a given limit is expressed by the following formulas (15) and (16):

[0115] U sc_min <U sc <U sc_max (15);

[0116] I sc_min <I sc <I sc_ max (16).

[0117] According to an embodiment of the present disclosure, the prediction model controller 20 is used to calculate the fourth difference value. I sc , and get the fourth difference I sc The third modulated signal m sc .

[0118] At the same time, combined with the given margin SOC, the given margin SOC is 10%~90%, the third modulation signal m sc It needs to be expressed within the limit range by the following formula (17):

[0119] m sc_min <msc <m sc_ max (17).

[0120] According to an embodiment of the present disclosure, a pulse modulation generator 21 is used to generate a pulse modulation signal m based on the third modulation signal m. sc , and the third modulated signal m sc Matching the third output duty cycle d sc , the third modulation signal m sc and the third output duty cycle d sc The relationship can be expressed by the following formula (18):

[0121] m sc =1-d sc (18).

[0122] According to an embodiment of the present disclosure, when the power of the supercapacitor 17 is greater than or equal to the upper charging limit, the power turbine bypass valve 6 is opened to achieve the third output duty cycle d sc Effective control of MPPT controller.

[0123] According to the embodiments of the present disclosure, by actively limiting the current and voltage of charging or discharging based on the optimization control strategy of the power allocation outer loop and the margin prediction limit inner loop, the energy storage system can track the required power or released power of the transmission bus 12 in real time, reduce energy storage losses and suppress power fluctuations of the power generation system. In addition, the method also has the functions of limiting the current and voltage of the energy storage system, effectively controlling the margin of charging or discharging, and predicting and outputting the modulation signal corresponding to the duty cycle according to the margin, reducing overcharging and over-discharging, realizing the monitoring of the operation of the energy storage system, extending the service life of the energy storage system, and thus improving the overall performance of the energy storage system.

[0124] According to the embodiments of the present disclosure, the present disclosure combines the complementary advantages of the battery pack 18 and the supercapacitor 17 to construct an energy storage system, and introduces it into the field of vehicle waste heat recovery turbine power generation energy storage to achieve optimal power distribution, that is, the battery pack 18 absorbs or releases low-frequency power, and the supercapacitor 17 absorbs or releases high-frequency power, thereby solving the problem of high power density and fast dynamic response speed required by the energy storage elements required for the high volatility, intermittent and random power generation characteristics of the compound turbine power generation system.

[0125] Figure 7 is a block diagram of a control system according to an illustrative embodiment of the present disclosure.

[0126] According to another embodiment of the present disclosure, a hybrid energy storage system of a compound turbine power generation system is provided, which is suitable for implementing the above-mentioned hybrid energy storage control method for a compound turbine power generation system, wherein the compound turbine power generation system includes a power generation system, a control system and an energy storage system connected in sequence, the energy storage system is electrically connected to the control system via a transmission bus 12, and the energy storage system includes a battery pack 18 and a supercapacitor 17, such as Figure 7 As shown, the control system 700 includes a first determination module 710 , a second determination module 720 , a third determination module 730 , an optimization module 740 and an adjustment module 750 .

[0127] According to an embodiment of the present disclosure, the first determination module 710 is used to determine the first bus power of the transmission bus 12 based on the first difference between the output power of the power generation system and the power consumption of the load electrically connected to the energy storage system. In one embodiment, the first determination module 710 can be used to execute step S1 described above, which will not be repeated here.

[0128] According to an embodiment of the present disclosure, the second determination module 720 is used to use the filter 19 to divide the first bus power into the first power and the second power, and based on the first power, determine the first reference current of the battery pack 18. In one embodiment, the second determination module 720 can be used to execute step S2 described above, which will not be repeated here.

[0129] According to an embodiment of the present disclosure, the third determination module 730 is used to determine the first output duty cycle based on the second difference between the first reference current and the first actual current of the battery pack 18. In one embodiment, the third determination module 730 can be used to execute step S3 described above, which will not be repeated here.

[0130] According to an embodiment of the present disclosure, the optimization module 740 is used to optimize the first output duty cycle using an optimization algorithm to minimize the first output duty cycle and obtain a first minimum duty cycle. In one embodiment, the optimization module 740 can be used to execute step S4 described above, which will not be repeated here.

[0131] According to an embodiment of the present disclosure, the adjustment module 750 is used to determine the power allocated to the battery pack 18 and the power of the supercapacitor 17 according to the first minimum duty cycle. In one embodiment, the adjustment module 750 can be used to execute step S5 described above, which will not be repeated here.

[0132] According to an embodiment of the present invention, any multiple modules of the first determination module 710, the second determination module 720, the third determination module 730, the optimization module 740 and the adjustment module 750 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the first determination module 710, the second determination module 720, the third determination module 730, the optimization module 740 and the adjustment module 750 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in a proper combination of any of them. Alternatively, at least one of the first determination module 710, the second determination module 720, the third determination module 730, the optimization module 740 and the adjustment module 750 may be at least partially implemented as a computer program module, which may perform a corresponding function when executed.

[0133] Figure 8 is a block diagram of an electronic device for a hybrid energy storage control method of a compound turbine power generation system according to an illustrative embodiment of the present disclosure. Figure 8 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0134] like Figure 8 As shown, the electronic device 800 according to an embodiment of the present disclosure includes a processor 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage part 808 to a random access memory (RAM) 803. The processor 801 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a dedicated microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 801 may also include an onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0135] In RAM 803, various programs and data required for the operation of electronic device 800 are stored. Processor 801, ROM 802 and RAM 803 are connected to each other via bus 804. Processor 801 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 802 and / or RAM 803. It should be noted that the program can also be stored in one or more memories other than ROM 802 and RAM 803. Processor 801 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0136] According to an embodiment of the present disclosure, the electronic device 800 may further include an input / output (I / O) interface 805, which is also connected to the bus 804. The electronic device 800 may further include one or more of the following components connected to the input / output (I / O) interface 805: an input portion 806 including a keyboard, a mouse, etc.; an output portion 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 808 including a hard disk, etc.; and a communication portion 809 including a network interface card such as a LAN card, a modem, etc. The communication portion 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the input / output (I / O) interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 810 as needed, so that the computer program read therefrom is installed into the storage portion 808 as needed.

[0137] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the control method according to the embodiment of the present disclosure is implemented.

[0138] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 802 and / or RAM 803 described above and / or one or more memories other than ROM 802 and RAM 803.

[0139] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the method provided by the embodiment of the present disclosure.

[0140] The above functions defined in the system / device of the embodiment of the present disclosure are executed when the computer program is executed by the processor 801. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0141] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 809, and / or installed from a removable medium 811. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0142] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 809, and / or installed from the removable medium 811. When the computer program is executed by the processor 801, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0143] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0144] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0145] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present disclosure may be combined or coupled in a variety of ways, even if such combinations or couplings are not explicitly described in the present disclosure. In particular, the features described in the various embodiments and / or claims of the present disclosure may be combined or coupled in a variety of ways without departing from the spirit and teachings of the present disclosure. All of these combinations and / or couplings fall within the scope of the present disclosure.

[0146] It should also be noted that the directional terms mentioned in the embodiments, such as "upper", "lower", "front", "back", "left", "right", etc., are only reference directions of the drawings and are not intended to limit the scope of protection of the present disclosure. Throughout the drawings, the same elements are represented by the same or similar reference numerals. Conventional structures or configurations will be omitted when they may cause confusion in the understanding of the present disclosure, and the shapes and sizes of the components in the drawings do not reflect the actual size and proportion, but only illustrate the contents of the embodiments of the present disclosure.

[0147] Unless otherwise indicated, the numerical parameters in this specification and the appended claims are approximate values ​​and can be changed according to the desired properties obtained by the content of the present disclosure. Specifically, all numbers used in the specification and claims to express the content of the composition, reaction conditions, etc., should be understood to be modified by the term "about" in all cases. In general, the meaning of the expression is to include changes in some embodiments of ±10%, in some embodiments of ±5%, in some embodiments of ±1%, and in some embodiments of ±0.5% by a specific number.

[0148] The ordinal numbers used in the specification and claims, such as "first", "second", "third", etc., to modify the corresponding elements, do not themselves mean that the elements have any ordinal numbers, nor do they represent the order of one element and another element, or the order in the manufacturing method. The use of these ordinal numbers is only used to clearly distinguish a component with a certain name from another component with the same name.

[0149] In addition, unless the steps are specifically described or must occur in sequence, the order of the above steps is not limited to the above list, and can be changed or rearranged according to the required design. And the above embodiments can be mixed and matched with each other or with other embodiments based on design and reliability considerations, that is, the technical features in different embodiments can be freely combined to form more embodiments.

[0150] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. The scope of the present disclosure is defined by the attached claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A control method for hybrid energy storage of a compound turbine power generation system, wherein the compound turbine power generation system comprises a power generation system, a control system and an energy storage system connected in sequence, wherein the energy storage system is electrically connected to the control system via a power transmission bus, wherein the energy storage system comprises a battery pack and a supercapacitor, wherein the control method is applied to the control system, and wherein the control method comprises: Determining a first bus power of the power transmission bus based on a first difference between an output power of the power generation system and a power consumption of a load electrically connected to the energy storage system; Using a filter to divide the first bus power into a first power and a second power, and determining a first reference current of the battery pack based on the first power; determining a first output duty cycle based on a second difference between the first reference current and a first actual current of the battery pack; Optimizing the first output duty cycle by using an optimization algorithm so as to minimize the first output duty cycle and obtain a first minimum duty cycle; The power allocated to the battery pack and the power allocated to the supercapacitor are determined according to the first minimum duty cycle.

2. The control method according to claim 1, wherein: The determining, according to the first minimum duty cycle, the power allocated to the battery pack and the power of the supercapacitor comprises: Based on the first minimum duty cycle, adjusting the power allocated to the battery group by controlling the filter; The power allocated to the supercapacitor is determined according to the power of the battery pack.

3. The control method according to claim 1, wherein: When the power of the first bus is positive, the energy storage system is charged from the power transmission bus; When the power of the first bus is negative, the energy storage system discharges to the transmission bus.

4. The control method according to claim 1, wherein: The step of using a filter to divide the first bus power into a first power and a second power, and determining a first reference current of the battery pack based on the first power comprises: The first reference current is obtained based on the first power and a first real-time voltage of the battery pack.

5. The control method according to claim 4, wherein: Determining a first output duty cycle based on a second difference between the first reference current and a first actual current of the battery pack comprises: Using a prediction model controller, based on the second difference, a first modulation signal matching the second difference is obtained; The first output duty cycle matching the first modulation signal is obtained based on the first modulation signal by using a pulse modulation generator.

6. The control method according to claim 5, wherein: The optimizing the first output duty cycle by using an optimization algorithm to minimize the first output duty cycle and obtain a first minimum duty cycle includes: Based on the second bus power of the transmission bus at the k+i+1th moment and the second real-time voltage of the transmission bus at the k+i+1th moment, obtaining the second reference current of the transmission bus at the k+i+1th moment, where k is a positive integer, and i=0, 1, 2, 3, ...; Based on the second reference current and the second actual current of the battery pack at the kth moment, according to the optimization algorithm, predicting the third actual current of the battery pack at the k+i+1th moment; determining a second output duty cycle at the k+i+1th moment based on a third difference between the third actual current and the second actual current, wherein the second output duty cycle is less than the first output duty cycle; When the second output duty cycle satisfies a predetermined condition, the second output duty cycle is determined as the first minimum duty cycle.

7. The control method according to claim 6, wherein: The predicting, based on the second reference current and the second actual current of the battery pack at the kth moment and according to the optimization algorithm, the third actual current of the battery pack at the k+i+1th moment comprises: The third actual current is predicted by the following formula: ； in, is represented as the weight of the bus current of the transmission bus, It is represented as the fourth actual current of the transmission bus at the k+i+1th moment, is represented by the second reference current of the transmission bus at the k+i+1th moment, is represented as the weight of the reference current of the battery pack, is represented by the third actual current of the battery pack at the k+i+1th moment, It is represented as the second actual current of the battery pack at the kth moment, where k is a positive integer, i=0, 1, 2, 3...

8. The control method according to claim 6, wherein: The determining the second output duty cycle at the k+i+1th moment based on the third difference between the third actual current and the second actual current comprises: Using the prediction model controller, based on the third difference, obtain a second modulation signal matching the third difference; The pulse modulation generator is used to obtain the second output duty cycle matching the second modulation signal based on the second modulation signal.

9. The control method according to claim 1, wherein: The power generation system comprises an exhaust valve, an exhaust gas turbine, an exhaust gas turbine bypass valve, a power turbine, a power turbine bypass valve and a generator set; gas enters the power generation system through the exhaust valve; the exhaust gas turbine is connected to the exhaust valve, the exhaust gas turbine bypass valve is connected in parallel to the exhaust gas turbine, and the exhaust gas turbine pressurizes the gas when the gas flows through the exhaust gas turbine; the power turbine is connected in series to the exhaust gas turbine, the power turbine bypass valve is connected in parallel to the power turbine, and after receiving the pressurized gas, the power turbine drives the generator set coaxially connected to the power turbine, so that the generator set generates electricity, and the control method further comprises: When the power of the battery pack is greater than or equal to a predetermined charging power, the power turbine bypass valve is opened.

10. A hybrid energy storage system for a compound turbine power generation system, suitable for implementing a control method for hybrid energy storage for a compound turbine power generation system according to any one of claims 1 to 9, wherein: The compound turbine power generation system comprises a power generation system, a control system and an energy storage system connected in sequence, wherein the energy storage system is electrically connected to the control system via a power transmission bus, the energy storage system comprises a battery pack and a supercapacitor, and the control system comprises: A first determination module, configured to determine a first bus power of the transmission bus based on a first difference between an output power of the power generation system and a power consumption of a load electrically connected to the energy storage system; A second determination module, configured to use a filter to divide the first bus power into a first power and a second power, and determine a first reference current of the battery pack based on the first power; a third determination module, configured to determine a first output duty cycle based on a second difference between the first reference current and a first actual current of the battery pack; An optimization module, configured to optimize the first output duty cycle by using an optimization algorithm, so as to minimize the first output duty cycle and obtain a first minimum duty cycle; An adjustment module is used to determine the power allocated to the battery pack and the power of the supercapacitor according to the first minimum duty cycle.

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