A dual-winding induction generator system adaptive power control method

Abstract

The application discloses a kind of double-winding induction generator system adaptive power control method, belong to generator control technical field.The double-winding induction generator system is formed by double-winding induction generator, energy storage unit, static excitation converter and diesel engine.The adaptive power control method is by based on rotor flux orientation coordinate transformation, control winding current is decoupled into excitation control and electromagnetic torque control two parts, realize independent adjustment to generator output power, and by the control of generator electromagnetic torque, realize passive regulation and control of energy storage unit power, solved the problem of insufficient control freedom of single-converter system.In addition, the control method used by the application adopts the generator / energy storage unit power distribution strategy based on dynamic programming with the lowest fuel consumption as the target, to ensure that the generator is always working in the high efficiency interval of the diesel engine within a wide range of load changes, thereby significantly reducing the power generation cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of generator control, and particularly relates to a self-adaptive power control method for a dual-winding induction generator system. BACKGROUND

[0002] Diesel generators have been widely used in independent power systems as the main power source. However, the fuel efficiency of diesel engines is closely related to their working load, and is usually highest at 70%-80% of the rated load. At low load power, the fuel consumption of diesel engines increases significantly, showing low efficiency and poor economy. This is because the mechanical loss and energy loss of diesel engines are relatively high when running at low power, resulting in reduced utilization of fuel. In addition, diesel engines are prone to carbon deposition and mechanical wear under low load conditions, affecting their long-term reliability and service life.

[0003] In order to alleviate these problems, more and more research and application in recent years have focused on hybrid power supply schemes that combine energy storage systems with diesel generator systems. Energy storage systems can effectively reduce the running time of diesel engines in the low-efficiency operating range by providing power output at low load, prolonging their service life and reducing fuel consumption. However, the power level of energy storage systems is usually relatively small, making it difficult to provide power for a long time or at high power, especially when load demand fluctuates greatly or continues to grow. Energy storage systems cannot meet all power demand when operating independently. Therefore, how to effectively coordinate the joint operation of diesel generators and energy storage systems to maximize their respective advantages has become a hot research topic.

[0004] In terms of generator selection, dual-winding induction generators have two sets of windings, which can ensure high-quality power output from the power winding through high-performance control of the windings. The static excitation converter DC side of the control winding side can use energy storage instead of ordinary power supply, which can simultaneously provide excitation for the motor and supplement the load power, and can realize efficient combination of energy storage and diesel generators. However, due to the limitation of single converter, the system control freedom is limited, and independent control of energy storage and dual-winding induction generators cannot be realized. In addition, the output power port of the cascaded architecture is unified, making it difficult to realize decoupling control of the power of the two. Therefore, a new control method for dual-winding induction generator systems is needed to effectively solve the above problems. SUMMARY

[0005] In view of the deficiencies of the prior art in the background art, the present application provides a self-adaptive power control method for a dual-winding induction generator system, aiming to realize decoupling of energy storage and generator output power, and to realize system power distribution and collaborative power supply under different load level scenarios.

[0006] To achieve the above technical purposes, the present application adopts the following technical solutions:

[0007] A dual-winding induction generator system, comprising a dual-winding induction generator, an energy storage unit, a static excitation converter, a diesel engine, two sets of windings of the dual-winding induction generator comprising a control winding and a power winding, the control winding being connected to the static excitation converter in AC, the power winding being connected to a load, the energy storage unit being connected to a DC side of the static excitation converter; the energy storage unit and the dual-winding induction generator of the system share the same power output port; the energy storage unit of the system and the generator capacity ratio is 1:2;

[0008] A self-adaptive power control method of a dual-winding induction generator system, by coordinate transformation based on rotor flux orientation, the control winding current is decoupled into excitation control and electromagnetic torque control two parts, realizing independent adjustment of the generator output power, and through the control of the generator electromagnetic torque, the passive regulation of the energy storage unit power is realized;

[0009] The self-adaptive power control method comprises the following steps:

[0010] Step S1, converting the three-phase current at the control winding side to the dq coordinate system to obtain the d-axis and q-axis current components;

[0011] Step S2, obtaining the d-axis current component given value and the d-axis voltage component given value of the control winding according to the rated voltage at the load side and the actual output voltage at the power winding side of the generator;

[0012] Step S3, calculating the set output power of the generator;

[0013] Step S4, calculating the corresponding electromagnetic torque given value and the actual electromagnetic torque according to the set output power of the generator obtained in step S3;

[0014] Step S5, comparing the electromagnetic torque given value of the generator with the actual electromagnetic torque, calculating the torque error, adjusting the error by using a PI controller, and generating the q-axis current component given value of the control winding;

[0015] Step S6, generating the driving signal of the static excitation converter by SVPWM technology; the SVPWM is a space vector pulse width modulation;

[0016] The self-adaptive power control method can realize the decoupling of the energy storage unit and the generator output power, and realize the system power distribution and collaborative power supply under different load level scenarios.

[0017] Further, the step S1 specifically comprises converting the three-phase current at the control winding side to the dq coordinate system based on the rotor flux orientation of the dual-winding induction generator, obtaining the d-axis component actual value i cd and the q-axis component actual value icq .

[0018] The d-axis current of the control winding can control the excitation of the generator to realize terminal voltage stability; the q-axis current can control the electromagnetic torque of the generator to realize independent control of the output power of the generator, thereby realizing power decoupling of the energy storage unit and the generator, which is conducive to the power distribution of the two.

[0019] Further, the step S2 is specifically comparing the load side rated voltage with the actual output voltage of the generator power winding side, and the voltage error obtained is used to obtain the d-axis current component given value i cd * of the control winding through a PI controller. cd The d-axis current component given value i cd is compared with the actual value i cd * of the d-axis component to obtain a current error, and the current error is used to obtain the d-axis voltage component given value u min * of the control winding through a PI controller.

[0020] Further, the calculation method of the set output power of the generator in the step S3 is: taking the minimum fuel consumption of the diesel engine as the optimization target, while ensuring that the state of charge SOC of the energy storage unit is maintained in a reasonable state, implementing a power distribution strategy based on dynamic programming to determine the set output power P* of the generator;

[0021] The strategy implementation method is as follows:

[0022] The working state of charge constraint condition of the energy storage unit is set as SOC=[SOC max ], and the port power constraint condition of the energy storage unit is set as P ch_max =[-P dis_max , P ch_max ], wherein P dis_max is the maximum charging power of the energy storage unit, and P g is the maximum discharging power of the energy storage unit;

[0023] The output power constraint condition of the generator is preliminarily set as P g_min =[P g_max , P L ] according to the fuel consumption curve of the diesel engine;

[0024] The load power change curve P g (t) is predicted through load demand, wherein t is the power supply time of the generator system;

[0025] The state is set as St=(SOC, P bat );

[0026] The decision variable is set as the port power P fuel of the energy storage unit;

[0027] The state equation is set as:

[0028]

[0029] The objective function is set as minimizing fuel consumption:

[0030]

[0031] where f fuel (P g (t)) is the fuel consumption of the generator at different output powers;

[0032] A two-dimensional dynamic programming list dp[t][SOC] is initialized to store the optimal solution at each time step and each state, i.e., the lowest fuel consumption of SOC, P bat , and Pg within the constraint conditions, and dp[t][SOC] is initially set as inf, which is infinity;

[0033] After the initial condition setting, the fuel consumption corresponding to the energy storage unit and the generator output power value at the lowest state is calculated by dynamic programming;

[0034] The dynamic programming process is a three-layer loop calculation, including an inner loop, an intermediate loop, and an outer loop. The inner loop is the electric power loop, the intermediate loop is the energy storage state loop, and the outer loop is the time step loop;

[0035] The discharge power loop is specifically as follows:

[0036] Let this moment be t, the corresponding load power be P L (t), and the state of charge of the energy storage unit be SOC(n). In this state, the energy storage unit port power is P bat ;

[0037] The next state of charge SOC(n+1) is calculated:

[0038] SOC(n+1) = SOC(n) - P bat ·Δt

[0039] The power allocated to the generator in this state is calculated:

[0040] P g = P L (t) - P bat

[0041] If P g exceeds the generator output power constraint condition, skip the following steps and enter the next loop;

[0042] The fuel consumption f fuel (Pg );

[0043] If SOC min < SOC max , update the fuel consumption of the current dp table:

[0044] dp[t+1][SOC(n+1)] = min(dp[t+1][SOC(n+1)], dq[t][SOC] + f fuel (P g )

[0045] Keep t, P L (t) and SOC(n) unchanged, traverse all possible energy storage unit output powers, i.e. P bat ∈[-P ch_max , P dis_max ] according to the above calculation process.

[0046] The energy storage state cycle is specifically as follows:

[0047] Keep t, P L (t) unchanged, traverse all possible energy storage states at the current time step, i.e. SOC(n) ∈ [SOC min , SOC max ] according to the calculation method of the discharging power cycle.

[0048] The time step cycle is specifically as follows:

[0049] Traverse each time step, i.e. t ∈ [0, T-1] according to the calculation method of the discharging power cycle and the energy storage state cycle.

[0050] Through the above calculation, the optimal solution: min(dp(t)) is taken; the solution corresponds to the power distribution method with the lowest comprehensive fuel consumption.

[0051] Through the method, the set output power P* of the generator can be determined.

[0052] Further, the corresponding electromagnetic torque given value T e * at the set output power P* of the generator in the step S4 is calculated as follows:

[0053]

[0054] Where ω r is the mechanical rotor angular velocity and n is the generator speed.

[0055] The actual electromagnetic torque T e is calculated as follows:

[0056]

[0057] where n p is the number of generator pole pairs; L m is the generator excitation inductance; i pd , i pq are the d, q axis components of power winding current, which are obtained by sampling power winding current and coordinate conversion to dq coordinate system of rotor flux orientation; rd , i rq are the d, q axis current components of rotor flux, which are calculated as follows:

[0058]

[0059] where ψ r is the rotor flux; L r is the rotor equivalent self-inductance; ω s is the electrical angular velocity; T r is the rotor time constant, T r =L r / R r , R r is the rotor equivalent resistance; p is a differential operator.

[0060] Further, the step S5 specifically comprises comparing the given value T e * of electromagnetic torque and the actual generator electromagnetic torque T e to obtain a torque error, and the torque error is used to obtain the given value i cq * of q axis current component of control winding through a PI controller. cq * with the actual value i cq of d axis component to obtain a current error, and the current error is used to obtain the given value u cq * of q axis voltage component of control winding through a PI controller.

[0061] Further, the step S6 specifically comprises converting the given values u cd * and u cq * of control winding voltage into two-phase stationary coordinate system, obtaining driving signals through SVPWM space vector modulation, and acting on the stationary excitation converter to realize control of the power supply system.

[0062] The application provides a self-adaptive power control method for a double-winding induction generator system, which comprises the following steps:

[0063] Beneficial effects:

[0064] (1) The application realizes decoupling of generator and energy storage unit output power through control of generator electromagnetic torque, realizes active control of generator power and passive control of energy storage power, and solves the problem of insufficient control freedom of single converter under the cascade architecture.

[0065] (2) The application avoids real-time power detection of the energy storage unit and other ports, simplifies the design and implementation of the control system, and reduces hardware costs and system complexity.

[0066] (3) The application distributes system power based on a dynamic programming algorithm targeting minimum fuel consumption, realizes combined power generation of the energy storage unit and the double-winding generator, and improves overall system efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0067] Figure 1 It is a control structure diagram of a double-winding induction generator system adaptive power control method.

[0068] Figure 2 It is a fuel consumption curve of a diesel engine.

[0069] Figure 3 It is a flowchart of a power distribution strategy algorithm based on dynamic programming DETAILED DESCRIPTION

[0070] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in combination with the drawings and specific embodiments of the specification. However, the present application is not limited to this specific embodiment. In the following detailed description of the present application, some specific details are described in detail. The present application can also be fully understood without these details.

[0071] As shown in Figure 1 , the present application provides a double-winding induction generator system adaptive power control method, the system including a double-winding induction generator, an energy storage unit, a static excitation converter, a diesel engine, two sets of windings of the double-winding induction generator including a control winding and a power winding, the control winding being connected to the static excitation converter in alternating current, the power winding being connected to a load, the energy storage unit being connected to the direct current side of the static excitation converter. The energy storage unit and the double-winding induction generator of the system share the same power output port.

[0072] For the embodiment of the present application, the rated power of the double-winding induction generator is set to P GN , the maximum discharge power of the energy storage unit is P dis = 0.5P GN , and the maximum charging power is P cha = 0.3P GN . The fuel consumption curve of the diesel engine is shown in Figure 2 , and the curve corresponds to the relationship between fuel consumption and generator output power f fuel (P g ),

[0073] The application provides a self-adaptive power control method of a double-winding induction generator system, which can realize automatic power distribution of an energy storage unit and a double-winding generator for a load according to the load level.

[0074] The method specifically comprises the following steps:

[0075] Step S1, based on the rotor flux orientation of the double-winding induction generator, the three-phase current on the control winding side is converted to the dq coordinate system to obtain the actual value i cd of the d-axis component of the control winding current and the actual value i cq of the q-axis component.The d-axis current of the control winding is controlled to regulate the excitation of the generator and stabilize the terminal voltage of the generator; the q-axis is controlled to control the electromagnetic torque of the generator, thereby realizing independent control of the output power of the generator.

[0076] Step S2, the rated voltage U* of the load side is compared with the actual output voltage U of the power winding side of the generator, and the voltage error obtained is used to obtain the given value i cd * of the d-axis current component of the control winding through a PI controller. The given value i cd * of the d-axis current component is compared with the actual value i cd of the d-axis component to obtain a current error, and the d-axis voltage component given value u cd * of the control winding is obtained through a PI controller.

[0077] Step S3, the set output power P* of the generator is calculated, the minimum fuel consumption of the diesel engine is taken as the optimization target, and the state of charge SOC of the energy storage unit is maintained in a reasonable state, so that the generator and the energy storage unit adaptively distribute power based on the load change law, and a power distribution strategy based on dynamic programming is implemented, as shown in the flowchart, and the implementation method of the strategy is as follows: Figure 3

[0078] In order to avoid damage to the battery caused by overcharging and overdischarging of the energy storage unit, the working state of charge constraint condition of the energy storage unit is set as SOC=[20%,80%], and the port power constraint condition of the energy storage unit is set as P bat =[-0.3P GN ,0.5P GN ];

[0079] According to the fuel consumption curve of the diesel engine, the output power constraint condition of the generator is preliminarily set as Pg=[0.5P GN ,P GN ];

[0080] The load power change curve P L (t) is predicted through the load demand, t is the power supply time of the generator system;

[0081] The state is set as: St=(SOC,Pg );

[0082] Set decision variable as energy storage unit port power P bat ;

[0083] Set state equation as:

[0084]

[0085] Set objective function as minimizing fuel consumption:

[0086]

[0087] Where f fuel (P g (t)) is the fuel consumption of the generator at different output power.

[0088] Initialize a two-dimensional dynamic programming list dp[t][SOC] to store the optimal solution at each time step and each state, i.e. the lowest fuel consumption of SOC, P bat , Pg within the constraints, initially set dp[t][SOC] = inf, inf is infinity.

[0089] Complete the initial condition setting, calculate the energy storage unit and generator output power value corresponding to the lowest fuel consumption in different states by dynamic programming.

[0090] The flow of dynamic programming is three-layer loop calculation, the inner layer is power loop, the middle layer is energy storage state loop, and the outer layer is time step loop;

[0091] The discharge power loop is as follows:

[0092] Set this moment as t, the corresponding load power as P L (t), the energy storage unit state of charge as SOC(n), in this state, the energy storage unit port power as P bat .

[0093] Calculate the next state of charge SOC(n+1):

[0094] SOC(n+1) = SOC(n) - P bat ·Δt

[0095] Calculate the power allocated to the generator in this state:

[0096] P g = P L (t) - P bat

[0097] If Pg exceeds the generator output power constraint, skip the following steps and go to the next cycle.

[0098] Determine the fuel consumption f at the current generator power Pg fuel (P g );

[0099] If 20% < SOC(n+1) < 80%, update the fuel consumption of the current dp table:

[0100] dp[t+1][SOC(n+1)] = min(dp[t+1][SOC(n+1)], dq[t][SOC] + f fuel (P g ))

[0101] Keep t, P L (t) and SOC(n) unchanged, and traverse all possible energy storage unit output powers, i.e. P bat ∈ [-0.3P GN , 0.5P GN ], according to the above calculation process.

[0102] The energy storage state cycle is specifically as follows:

[0103] Keep t, P L (t) unchanged, and traverse all possible energy storage states at the current time step, i.e. SOC(n) ∈ [20%, 80%], according to the calculation method of the discharge power cycle.

[0104] The time step cycle is specifically as follows:

[0105] Traverse each time step, i.e. t ∈ [0, T-1], according to the calculation method of the discharge power cycle and the energy storage state cycle.

[0106] Through the above calculation, take the optimal solution: min(dp(t)); the solution corresponds to the power distribution method with the lowest comprehensive fuel consumption.

[0107] Through the method, the set output power P* of the generator is determined.

[0108] Step S4, calculate the electromagnetic torque given value T e * corresponding to the set output power P* of the generator:

[0109]

[0110] Where ω r is the mechanical rotor angular velocity and n is the generator speed.

[0111] Calculate the electromagnetic torque T e of the actual generator:

[0112]

[0113] where n p is the number of generator pole pairs; L m is the generator excitation inductance; i pd , i pq are the d, q axis components of power winding current, which can be obtained by sampling power winding current and coordinate conversion to dq coordinate system of rotor flux orientation; i rd , i rq are the d, q axis components of rotor flux, which can be calculated as follows:

[0114]

[0115] where ψ r is the rotor flux; L r is the rotor equivalent self-inductance; ω s is the electrical angular velocity; T r is the rotor time constant, T r = L r / R r , R r is the rotor equivalent resistance; p is the differential operator.

[0116] Step S5, the electromagnetic torque given value T e *and the actual generator electromagnetic torque T e are compared, and the torque error obtained is used to obtain the control winding q axis current component given value i cq *through a PI controller. The q axis current component given value i cq *is compared with the d axis component actual value i cq , and the current error obtained is used to obtain the control winding q axis voltage component given value u cq *through a PI controller.

[0117] Step S6, the control winding voltage given value u cd *, u cq *is converted to two-phase stationary coordinate system, the driving signal is obtained through SVPWM space vector modulation, and acts on the static excitation converter to realize the control of the power supply system.

[0118] Finally, it should be noted that the above-described specific embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing specific embodiments can be modified, or some or all of the technical features can be replaced with equivalent replacements, but these modifications and replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for adaptive power control of a dual-winding induction generator system, comprising: The system comprises a double-winding induction generator, an energy storage unit, a static excitation converter, a diesel engine, two sets of windings of the double-winding induction generator comprising a control winding and a power winding, the control winding being connected to the static excitation converter in AC, the power winding being connected to a load, the energy storage unit being connected to a DC side of the static excitation converter; the energy storage unit and the double-winding induction generator of the system share the same power output port; the energy storage unit of the system and the generator capacity ratio is 1:2; The adaptive power control method decouples the control winding current into excitation control and electromagnetic torque control through coordinate transformation based on rotor flux orientation, realizes independent adjustment of the generator output power, and realizes passive regulation of the energy storage unit power through control of the generator electromagnetic torque; The adaptive power control method comprises the following steps: Step S1: converting three-phase current at the control winding side to the dq coordinate system to obtain d-axis and q-axis current components; Step S2: obtaining a d-axis current component given value and a d-axis voltage component given value of the control winding according to a rated voltage at the load side and an actual output voltage at the generator power winding side; Step S3: calculating a generator set output power; Step S4: calculating a corresponding electromagnetic torque given value and an actual electromagnetic torque according to the generator set output power obtained in step S3; Step S5: comparing the electromagnetic torque given value and the actual electromagnetic torque of the generator, calculating a torque error, adjusting the error by using a PI controller, and generating a q-axis current component given value of the control winding; Step S6: generating a driving signal of the static excitation converter through SVPWM technology; the SVPWM is a space vector pulse width modulation; The adaptive power control method can realize decoupling of the energy storage unit and the generator output power, realize system power distribution and collaborative power supply in different load level scenarios.

2. A method of adaptive power control for a dual-winding induction generator system as recited in claim 1, wherein, The step S1 is specifically based on double-winding induction generator rotor flux orientation, converting the three-phase current on the control winding side to the dq coordinate system to obtain the actual value i cd of the d-axis component of the control winding current and the actual value i cq of the q-axis component of the control winding current. The d-axis current of the control winding controls the excitation of the generator to realize end voltage stability; the q-axis current controls the electromagnetic torque of the generator to realize independent control of the generator output power, thereby realizing power decoupling of the energy storage unit and the generator, and facilitating power distribution and setting of the two.

3. The adaptive power control method for a dual-winding induction generator system according to claim 1, wherein, The step S2 is specifically comparing the load side rated voltage with the actual output voltage of the generator power winding side, and the obtained voltage error is used to obtain the d-axis current component given value i of the control winding through a PI controller cd The d-axis current component given value i is compared with the actual value i cd of the d-axis component cd The current error obtained by comparison is used to obtain the d-axis voltage component given value u of the control winding through a PI controller cd * 4. The adaptive power control method for a dual-winding induction generator system according to claim 1, wherein, In step S3, the generator set output power is calculated in the following manner: taking the lowest fuel consumption of the diesel engine as the optimization target, while ensuring that the state of charge (SOC) of the energy storage unit is maintained in a reasonable state, implementing a power distribution strategy based on dynamic programming to determine the generator set output power P*; The strategy implementation method is as follows: The working state of charge constraint condition of the energy storage unit is set as SOC=[SOC min , SOC max ], and the port power constraint condition of the energy storage unit is set as P bat =[-P ch_max , P dis_max ], wherein P ch_max is the maximum charging power of the energy storage unit, and P dis_max is the maximum discharging power of the energy storage unit. The generator output power constraint condition is preliminarily set as P g = [P g_min , P g_max ] according to the diesel engine fuel consumption curve. The load power variation curve P is predicted by load demand L (t), t is the power supply time of the generator system; Set state to: St = (SOC, P g ); Setting the decision variable as the energy storage unit port power P bat ; The state equation is set as follows: The objective function is set as minimizing fuel consumption: where f fuel (P g (t)) is the fuel consumption at different output powers of the generator; Initialize a two-dimensional dynamic programming list dp[t][SOC] to store the optimal solution, i.e. SOC, P bat , the lowest fuel consumption of Pg within the constraint, initially set dp[t][SOC] = inf, inf is infinity; After setting the initial conditions, the energy storage unit and the generator output power values corresponding to the lowest fuel consumption in different states are calculated through dynamic programming; The dynamic programming process comprises inner, intermediate and outer layer cycles, the inner layer is an electric power cycle, the intermediate layer is an energy storage state cycle, and the outer layer is a time step cycle; The electric power cycle is specifically as follows: Let this time be t, the corresponding load power be P L (t), the state of charge of the energy storage unit be SOC(n), and in this state, the port power of the energy storage unit be P bat ; The next state of charge SOC(n+1) is calculated: SOC(n + 1) = SOC(n) - P bat • Δt The power allocated to the generator in this state is calculated: P g = P L (t) - P bat If P g If the generator output power constraint is exceeded, skip the following steps and go to the next iteration. determining the fuel consumption f at the current generator power Pg fuel (P g ); If SOC min <SOC(n+1)<SOC max , update the fuel consumption of the current dp table: dp[t + 1] [SOC(n + 1)] = min(dp[t + 1] [SOC(n + 1)], dq[t] [SOC] + f fuel (P g )) Keep t, P L (t), SOC(n) unchanged, traverse all possible energy storage unit output power, i.e. P bat ∈[-P ch_max ,P dis_max ] The energy storage state cycle is specifically as follows: Keep t, P L (t) unchanged, iterate through all possible energy storage states at the current time step, i.e. SOC(n) e [SOC min , SOC max ] according to the calculation method of the discharging power cycle. The time step cycle is specifically as follows: According to the calculation method of the discharge power cycle and the energy storage state cycle, each time step, i.e. t∈[0, T-1] is traversed; Through the above calculation, the optimal solution: min(dp(t)) is taken; the solution corresponds to the power distribution method with the lowest comprehensive fuel consumption; Through the method, the set output power P* of the generator can be determined.

5. The adaptive power control method for a dual winding induction generator system as recited in claim 1, wherein, The step S4 sets the electromagnetic torque T corresponding to the output power P* of the generator e * is calculated as follows: where ω r is the mechanical rotor angular velocity and n is the generator rotational speed; Actual electromagnetic torque T e The calculation is as follows: where n p is the number of generator pole pairs; L m is the generator excitation inductance; i pd , i pq are the d, q axis components of the power winding current, obtained by sampling the power winding current and coordinate transforming to the rotor flux oriented dq coordinate system; i rd , i rq are the rotor flux d, q axis current components, calculated as follows: where ψ r is the rotor flux; L r is the rotor equivalent self-inductance; ω s is the electrical angular velocity; T r is the rotor time constant, T r = L r / R r , R r is the rotor equivalent resistance; p is the differential operator.

6. The adaptive power control method for a dual winding induction generator system of claim 1, wherein, The step S5 is specifically to set the electromagnetic torque to a given value T e * and actual generator electromagnetic torque T e The torque error obtained by comparison is used to obtain the given value i of the q-axis current component of the control winding through the PI controller. cq *; Set the q-axis current component to a given value i cq * and the actual value of the d-axis component i cq The current error is obtained by comparison, and the current error is used by the PI controller to obtain the given value u of the q-axis voltage component of the control winding cq *.

7. The adaptive power control method for a dual winding induction generator system as recited in claim 1, wherein, The step S6 specifically is to give a control winding voltage value u cd *, cq *Transformed into two-phase stationary coordinate system, the driving signal is obtained by SVPWM technology, and acts on the static excitation converter to realize the control of the power supply system.

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