A phase modifier modification method and device, electronic equipment and storage medium

Abstract

The application discloses a phase modifier transformation method and device, electronic equipment and storage medium, and relates to the technical field of thermal power generation. The method comprises the following steps: establishing a multi-physics field coupling mathematical model of a generator body, an excitation system and a cooling system, and constructing a power grid disturbance scene containing new energy, load and AC / DC transmission elements in a simulation platform; calling a preset algorithm to generate an adaptive control law and a fuzzy control variable system, screening and optimizing the algorithm combination through testing and comparison to form a control strategy; determining the minimum transformation range according to the strategy and implementing transformation on key components of the target thermal power generator unit; performing power generation-phase modulation mode switching control based on the transformed equipment and the control strategy; verifying the target unit under multiple working conditions to dynamically correct the control strategy parameters and the transformation component configuration according to the test results, and forming a closed-loop optimization. Precise modeling, robust control, economic transformation, smooth switching and continuous optimization are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of thermal power generation, and in particular to a method and device for transforming a phase modifier, an electronic device, and a storage medium. BACKGROUND

[0002] With the development of the power system in the direction of high proportion of new energy and high proportion of power electronic equipment, the characteristics of strong fluctuation and weak anti-disturbance ability of new energy power generation output lead to a decrease in the equivalent inertia of the power grid, frequent voltage drop and frequency fluctuation, and the importance of the phase modifier as a core dynamic reactive power support device is increasingly prominent.

[0003] Under this background, some thermal power units with decreased power generation efficiency or adjusted power grid planning need to be transformed into phase modifiers to realize functional transformation of the equipment and improve the stable operation ability of the power grid. However, the transformation technology in the related art has many limitations: the modeling process does not fully integrate the multi-physical field coupling relationship of the generator body, the excitation system and the cooling system, and the simulation scene does not completely cover complex working conditions, resulting in a lack of precise theoretical support for transformation; the control strategy relies on a single algorithm, which is difficult to cope with dynamic changes in the power grid; the transformation range lacks targeted optimization, and over-transformation often occurs, resulting in high engineering cost, long construction period, and possible impact on the stability of the original structure of the equipment; the generation-phase modulation mode switching and grid connection control technology are not mature, the parameter coupling is complex, and power oscillation, voltage fluctuation and high grid connection impact risk are easily caused; and there is a lack of multi-working condition verification and closed-loop optimization mechanism, which cannot dynamically correct parameters according to actual operation data, and the operation performance of the phase modifier is difficult to fully play. These problems seriously restrict the economy and reliability of the transformation of thermal power units into phase modifiers. SUMMARY

[0004] The present application provides a method and device for transforming a phase modifier, an electronic device, and a storage medium. It can solve the problems caused by the lack of coupling and scene integrity in modeling, the single robustness of the control algorithm, the blind transformation range, the immature mode switching control, and the lack of closed-loop optimization mechanism in the related art.

[0005] According to a first aspect of the present application, a method for transforming a phase modifier is provided, comprising:

[0006] establishing a multi-physical field coupling mathematical model of the generator body, the excitation system and the cooling system, and constructing a power grid disturbance scene containing new energy, load and AC / DC transmission elements in a simulation platform;

[0007] calling a preset algorithm to generate an adaptive control law and a fuzzy control input-output variable system, comparing the control effect and robustness of different algorithm combinations through testing, selecting the optimal algorithm combination and optimizing its parameters to generate a control strategy;

[0008] According to the control strategy, a minimum modification range is generated, and key components of the target thermal power generating unit are modified based on the minimum modification range.

[0009] Based on the modified target thermal power generating unit equipment and the control strategy, power generation-phase modulation mode switching control is performed.

[0010] A multi-working condition verification is carried out on the target thermal power generating unit as a test platform, operation parameters are collected and the maximum reactive power output capacity of the phase modulation machine is calculated, and the control strategy parameters and the modified component configuration are dynamically corrected according to the test results to form a closed-loop optimization.

[0011] According to a second aspect of the present application, a phase modulation machine modification device is provided, comprising:

[0012] The establishing module is configured to establish a multi-physical field coupling mathematical model of the generator body, the excitation system and the cooling system, and to construct a power grid disturbance scene containing new energy, load and AC / DC transmission elements in a simulation platform;

[0013] The generating module is configured to call a preset algorithm, generate an adaptive control law and a fuzzy control input / output variable system, compare the control effects and robustness of different algorithm combinations through testing, select the optimal algorithm combination and optimize its parameters to generate the control strategy;

[0014] The modification module is configured to generate a minimum modification range according to the control strategy, and modify key components of the target thermal power generating unit based on the minimum modification range;

[0015] The execution module is configured to perform power generation-phase modulation mode switching control based on the modified target thermal power generating unit equipment and the control strategy.

[0016] The optimization module is configured to carry out a multi-working condition verification on the target thermal power generating unit as a test platform, collect operation parameters and calculate the maximum reactive power output capacity of the phase modulation machine, and dynamically correct the control strategy parameters and the modified component configuration according to the test results to form a closed-loop optimization.

[0017] According to a third aspect of the present application, an electronic device is provided, comprising:

[0018] At least one processor;

[0019] and a memory in communication connection with the at least one processor;

[0020] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the phase modulation machine modification method of the first aspect.

[0021] According to a fourth aspect of the present application, a non-transitory computer readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause a computer to execute the generator retrofitting method of the first aspect.

[0022] According to a fifth aspect of the present application, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the generator retrofitting method of the first aspect.

[0023] The generator retrofitting method, device, electronic equipment and storage medium provided by the present application comprise: establishing a multi-physics field coupling mathematical model of a generator body, an excitation system and a cooling system, and constructing a power grid disturbance scene containing new energy, load and AC / DC transmission elements in a simulation platform; calling a preset algorithm to generate an adaptive control law and a fuzzy control input / output variable system, comparing the control effect and robustness of different algorithm combinations through testing, screening the optimal algorithm combination and optimizing its parameters to generate a control strategy; generating a minimum modification range according to the control strategy, and modifying the key components of the target thermal power generating unit based on the minimum modification range; performing generation-phase modulation mode switching control based on the modified target thermal power generating unit equipment and the control strategy; carrying out multi-working condition verification with the target thermal power generating unit as a test platform, collecting operating parameters and calculating the maximum reactive power output capacity of the phase modulation machine, dynamically correcting the control strategy parameters and the modification component configuration according to the test results, and forming a closed-loop optimization. Through the present application, since the multi-physics field coupling mathematical model of the generator body, the excitation system and the cooling system and the power grid disturbance scene containing new energy, load and AC / DC transmission elements are established, the optimal control strategy is screened and optimized by calling the preset algorithm, the minimum modification range is determined based on the strategy and the key components of the target thermal power generating unit are modified, the generation-phase modulation mode switching control is performed and the closed-loop optimization is formed through multi-working condition verification, therefore, the problems caused by lack of coupling and scene integrity in modeling, single robustness of control algorithm, blind modification range, immature mode switching control and no closed-loop optimization mechanism in related technologies can be solved, and the technical effects of accurate modeling in line with the actual situation, strong adaptability and high robustness of the control strategy, effective reduction of modification cost and period, smooth and reliable generation-phase modulation mode switching, and significant improvement of the operation stability and maximum reactive power output capacity of the phase modulation machine are achieved.

[0024] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become apparent through the following description. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0026] Figure 1 A flowchart of a phase modifier modification method provided by an embodiment of the present application;

[0027] Figure 2 A flowchart of another phase modifier modification method provided by an embodiment of the present application;

[0028] Figure 3 A structural diagram of a phase modifier modification device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0029] The exemplary embodiments of the present application are described below with reference to the accompanying drawings, which include various details of the embodiments of the present application to assist in understanding, and should be considered as merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Also, in order to be clear and concise, the description below omits the description of well-known functions and structures.

[0030] The phase modifier modification method, device, electronic equipment and storage medium of the embodiments of the present application are described below with reference to the accompanying drawings.

[0031] Figure 1 A flowchart of a phase modifier modification method provided by an embodiment of the present application;

[0032] As shown in Figure 1 , the method comprises the following steps:

[0033] Step 101, a multi-physics field coupling mathematical model of the generator body, the excitation system and the cooling system is established, and a power grid disturbance scene containing new energy, load and AC / DC transmission elements is constructed in a simulation platform.

[0034] In some embodiments, the multi-physical field coupling mathematical model is a comprehensive model fused with motor science, thermodynamics and automatic control theory, which can comprehensively reflect the change law of electromagnetic, temperature and other physical quantities of the related components of the phase modifier in the running process by quantifying the interaction relationship between each system. When establishing the model, the actual technical parameters of the target thermal power generator set are needed, including the core parameters of the generator body such as core loss, winding resistance and inductance, rotor structure characteristics, the parameters of the excitation system such as regulation response characteristics, winding resistance and self-inductance, and the parameters of the cooling system such as medium flow, heat dissipation efficiency, thermal resistance and thermal time constant, which can ensure that the model can accurately map the real running state of the equipment. Among them, the generator body model focuses on the electromagnetic coupling characteristics, and clearly defines the energy conversion law between the stator and the rotor; the excitation system model emphasizes the dynamic correlation of the excitation voltage, current and generator transient potential, providing a theoretical basis for subsequent excitation control; the cooling system model focuses on the winding temperature change, and establishes the quantitative relationship among the cooling medium inlet temperature, winding loss power and winding temperature, to ensure accurate simulation of the thermal state of the equipment. In the process of building the simulation platform, the key elements of new energy power generation units, different types of loads and AC / DC transmission lines need to be fully integrated, such as wind power and photovoltaic power, whose output fluctuation characteristics need to be fully reflected, different types of loads including industrial loads and domestic loads, which need to reflect their dynamic change law, and AC / DC transmission lines covering key parameters such as impedance and commutation characteristics, through these elements to form a simulation environment close to the actual power grid structure. At the same time, typical disturbance scenarios are simulated, such as power grid short-circuit faults such as single-phase ground fault and three-phase short-circuit, load sudden change such as industrial load sudden increase and sudden decrease, and new energy power fluctuation such as wind power gust influence and photovoltaic cloud shading leading to output change, which provides a comprehensive and real test carrier for the design and verification of subsequent control strategies. Through multi-physical field coupling modeling, the limitations of single model are avoided, and combined with the construction of complete power grid disturbance scenarios, it provides accurate and comprehensive theoretical and test basis for subsequent optimization control strategy and determination of modification range, effectively improving the scientificity and adaptability of the entire modification scheme.

[0035] Step 102, calling a preset algorithm, generating an adaptive control law and a fuzzy control input and output variable system, comparing the control effect and robustness of different algorithm combinations through testing, screening the optimal algorithm combination and optimizing its parameters to generate a control strategy.

[0036] In some embodiments, the preset algorithm mainly includes adaptive control and fuzzy control, each of which has its own adaptive advantage. The adaptive control can adjust the control parameters in real time according to the dynamic changes of the power grid operation condition, and is suitable for coping with the uncertainty caused by new energy fluctuation, load mutation and the like; the fuzzy control can process the complex relationship in the power grid system which is nonlinear and difficult to accurately model through fuzzy reasoning, and make up for the limitations of traditional control methods in uncertain scenarios. When generating the adaptive control law, the deviation between the power grid dispatching instruction and the actual output of the unit is taken as the core basis, and the adaptive gain mechanism which can be dynamically updated is designed in combination with the dynamic characteristics of the phase modifier operation, so that the control output can follow the condition changes in real time, and the timeliness and accuracy of the control can be ensured under different disturbance scenarios. When constructing the input and output variable system of the fuzzy control, the input variables are defined as the excitation current deviation and the speed deviation, the excitation current deviation is the difference between the excitation current reference value and the actual excitation current, and the speed deviation is the difference between the target speed and the actual speed. The input variables are quantitatively processed, and fuzzy subsets such as positive large, positive medium, zero, negative medium and negative large are divided. According to the engineering practice experience and control requirements, the output variables are defined as key control parameters such as excitation voltage adjustment amount, a fuzzy reasoning rule library between the input and output is established, and the mapping from fuzzy input to accurate control output is realized. In the test and comparison stage, based on the multi-physical field coupling mathematical model and the power grid disturbance simulation scene constructed in the early stage, a test environment of various algorithm combinations is built, the algorithm combinations include single adaptive control, single fuzzy control, adaptive-fuzzy composite control and the like, the control effect evaluation index and the robustness evaluation index are set, the control effect evaluation index is for example the reactive power response speed, the voltage fluctuation amplitude and the parameter following precision, the robustness evaluation index is for example the operation stability in the face of power grid short-circuit fault and new energy power sudden change, and the index data of different algorithm combinations under various conditions are recorded through multiple simulation tests. Then through comparative analysis, the algorithm combinations with slow response lag and weak anti-disturbance ability are eliminated, and the optimal algorithm combination which can quickly respond to the power grid dispatching instruction, effectively suppress the parameter fluctuation and maintain stable operation in complex disturbance scenarios is screened out; the core parameters of the combination are iteratively optimized, the core parameters are for example the gain update rate of the adaptive control, the membership function parameters and the reasoning rule threshold of the fuzzy control, the negative effects caused by parameter coupling are eliminated through gradually adjusting the parameters and repeating the simulation test, and the control precision and response efficiency are optimized, and finally the control strategy which adapts to the target unit modification and operation requirements is integrated.

[0037] In step 103, a minimum modification range is generated according to the control strategy, and the key components of the target thermal power unit are modified based on the minimum modification range.

[0038] In some embodiments, the minimum modification range is determined based on the control strategy generated by the previous optimization, combined with the original equipment performance parameters of the target thermal power unit, to accurately lock the modification boundary of the core components that play a decisive role in the performance of the phase-modulation operation. The core principle is to avoid unnecessary overall modification and maximize the retention of the original reliable structure of the unit under the premise of meeting the requirements of the control strategy for dynamic response, reactive power output capacity and operation stability. When generating this range, the key links that need to be optimized or modified are determined by analyzing the requirements of the control strategy for electromagnetic characteristics, mechanical strength, heat dissipation efficiency, etc., and the components with redundant performance or irrelevant to the control target are excluded to ensure that the modification is accurately adapted to the control logic and maximally reduces the engineering cost and construction period. Based on this range, the key components of the target thermal power unit are modified: for the generator rotor winding, the number of turns is optimized according to the requirement of the control strategy for dynamic response speed, and the copper wire cross-sectional area is adjusted from the original 120mm² to 135-145mm², which not only ensures that the winding electromagnetic characteristics match the control strategy, but also enhances the current carrying capacity to avoid overheating, and at the same time strengthens the rotor winding turn-to-turn insulation strength and improves the operation reliability; for the collector ring, a silver-copper alloy material with high conductivity and wear resistance is used to re-manufacture, which reduces the contact resistance and power loss by using the material properties, and at the same time, a spiral-shaped cooling groove is opened on the surface of the collector ring, with a groove width of 3-5mm and a groove depth of 2-3mm, which effectively improves the heat dissipation efficiency and solves the problem of temperature rise under high reactive power output conditions; for the cooling system, the heat dissipation structure is optimized in combination with the load characteristics under the control strategy to improve the circulation efficiency and heat exchange capacity of the cooling medium, ensuring that the winding temperature of the phase-modulation machine is within a safe range when the unit is at full load and reactive power output; in addition, SFC devices, AVC software and hardware devices and intelligent control units are added, among which the SFC devices are used to meet the precise speed-up requirement during mode switching, the AVC devices are responsible for receiving and executing the grid reactive power dispatching instructions, and the intelligent control unit is the core control center that needs to be connected with the DCS system and the excitation system of the original unit for data connection and cooperative control, to ensure that the hardware devices after modification form a closed-loop response with the control strategy. Through precise modification in the minimum range, the problems of high cost and long cycle caused by traditional overall modification are avoided, and the performance of the key components is deeply adapted to the control strategy, effectively improving the operation stability and phase-modulation capacity of the phase-modulation machine.

[0039] Step 104, based on the modified target thermal power unit equipment and control strategy, performing generation-phase modulation mode switching control.

[0040] In some embodiments, the power generation-phase modulation mode switching control is based on the coordinated operation of the performance improvement and optimization control strategy of the retrofitted target thermal power unit core components, and the core target is to achieve smooth transition of the two operation modes and avoid problems such as power oscillation, voltage fluctuation or equipment impact during the switching process. When power generation is converted to phase modulation, first, according to the preset load adjustment logic in the control strategy, the intelligent control unit connected with the original DCS system gradually reduces the steam turbine load to zero, and this process needs to accurately control the load reduction rate to prevent load shock from causing unit vibration or power grid frequency fluctuation. After the load is reduced to zero, the decoupling operation of the steam turbine and the generator is performed, and the mechanical coupling connection between the two is cut off. Then the newly added SFC device is started, and the segmented speed-up scheme suitable for the characteristics of the rotor is used to drag the generator rotor to speed up. The control strategy adjusts the speed-up parameters in real time to ensure that the speed is increased at a stable rate in the 0-1500 r / min stage, the speed-up rate is moderately reduced in the 1500-3000 r / min stage, and the speed is accurately approached to the target speed in the 3000-3150 r / min stage at a low speed to avoid mechanical impact on the rotor caused by speed overshoot at high speed. When the rotor speed is stable at 3150 r / min, the optimized excitation system is used to perform the idle walk pressure building process. The control strategy adjusts the excitation voltage and current in real time according to the excitation mathematical model to ensure that the voltage rises smoothly and matches the grid voltage parameters. After the voltage, frequency and other indicators meet the grid connection requirements, the grid connection switch is closed smoothly to complete the phase modulation mode grid connection. When phase modulation is converted to power generation, the AVC device and the intelligent control unit are used to slowly reduce the reactive power output of the phase modulation machine to zero according to the control strategy, so as to avoid voltage fluctuation caused by sudden reactive power reduction. Then the grid connection switch is disconnected to realize decoupling with the power grid. After the steam turbine is started, the control strategy adjusts the steam turbine speed-up rate in real time according to the speed deviation, and the speed of the steam turbine and the generator is compared in real time through the speed synchronization monitoring mechanism. When the speed difference between the two is reduced to the allowable range and remains stable, the coupling connection between the steam turbine and the generator is completed. Finally, the steam turbine load is gradually increased according to the preset load increase curve to realize the smooth recovery of the power generation mode. During the entire switching process, the optimized control strategy continuously adjusts the key parameters such as excitation current, speed and voltage in real time, and the retrofitted rotor winding, collector ring and cooling system provide hardware support for parameter stability to ensure smooth connection of each link. The beneficial effect of this step is to realize the rapid and smooth switching of power generation and phase modulation modes, reduce the impact on the power grid during the switching process, and improve the operation flexibility and reliability of the power system.

[0041] Step 105, a target thermal power unit is used as a test platform to verify multiple working conditions, operating parameters are collected and the maximum reactive power output capacity of the phase modulation machine is calculated, the control strategy parameters and the configuration of the modified components are dynamically corrected according to the test results, and a closed-loop optimization is formed.

[0042] In some embodiments, as a closed-loop optimization link of the phase modifier modification, the target thermal power unit after the modification is taken as a test platform, through the verification of multiple working conditions covering various typical scenarios, the modification effect and the adaptability of the control strategy are comprehensively tested. During the test, the key operation parameters of the unit are collected in real time, the maximum reactive power output capacity of the phase modifier is accurately calculated, and then combined with the problems exposed in the test data, the core parameters of the control strategy and the configuration details of the modified components are dynamically modified, forming a closed-loop optimization mechanism of "test verification-data feedback-parameter modification-effect re-verification", to ensure the continuous improvement of the operation performance, stability and grid adaptability of the phase modifier.

[0043] Compared with the related art, in the present embodiment, a multi-physics field coupling mathematical model of the generator body, the excitation system and the cooling system is established, and a power grid disturbance scene containing new energy, load and AC / DC transmission elements is constructed in a simulation platform; a preset algorithm is called to generate an adaptive control law and a fuzzy control input / output variable system, the control effect and robustness of different algorithm combinations are compared through testing, the optimal algorithm combination is selected and its parameters are optimized to generate a control strategy; a minimum modification range is generated according to the control strategy, and key components of the target thermal power unit are modified based on the minimum modification range; based on the modified target thermal power unit equipment and the control strategy, the generation-phase modulation mode switching control is performed; the target thermal power unit is taken as a test platform to carry out multi-working condition verification, the operation parameters are collected and the maximum reactive power output capacity of the phase modifier is calculated, and the control strategy parameters and the modified component configuration are dynamically modified according to the test results to form a closed-loop optimization. The problems caused by the lack of coupling and scene integrity in modeling, the single robustness of the control algorithm, the blind modification range, the immature mode switching control and the lack of closed-loop optimization mechanism in the related art can be solved, and the technical effects of accurate modeling in line with the actual situation, strong adaptability and high robustness of the control strategy, effective reduction of the modification cost and period, smooth and reliable generation-phase modulation mode switching, and significant improvement of the operation stability and maximum reactive power output capacity of the phase modifier are achieved.

[0044] Figure 2 The flowchart of another phase modifier modification method provided by the embodiments of the present application includes the following steps:

[0045] Step 201, the multi-physics field coupling mathematical model includes a generator excitation mathematical model and a cooling system mathematical model.

[0046] In some embodiments, the multi-physical field coupling mathematical model comprises a generator excitation mathematical model and a cooling system mathematical model; the specific implementation of establishing the multi-physical field coupling mathematical model of the generator body, the excitation system and the cooling system is various, and for the sake of clear description, the following specific introduction is made to some exemplary embodiments: the multi-physical field coupling mathematical model comprises a generator excitation mathematical model and a cooling system mathematical model, both types of models are constructed based on the principles of electrical machinery, automatic control theory and thermodynamics, and through quantifying the correlation of key physical quantities, the electromagnetic and thermal physical fields in the operation process of the phase modifier are cooperatively simulated. Wherein, the formula for establishing the generator excitation mathematical model is:

[0047]

[0048] Wherein, is the excitation current, that is, the current signal passing through the excitation winding, which is the core parameter affecting the magnetic field strength of the generator; is the excitation voltage, that is, the voltage applied to both ends of the excitation winding, which is used to control the excitation current; is the generator transient potential, reflecting the instantaneous state of electromagnetic induction inside the generator; is the excitation winding resistance, which is the inherent electrical characteristic parameter of the excitation winding; is the excitation winding self-inductance; s is the complex frequency, which is used to describe the dynamic characteristics of the system. Through accurate quantification of the dynamic correlation between the above parameters, the model can truly reflect the electromagnetic response law of the excitation system, and provide theoretical support for subsequent analysis of the influence of excitation regulation on the operation state of the phase modifier.

[0049] The formula for establishing the cooling system mathematical model is:

[0050]

[0051] Wherein, is the winding temperature, that is, the actual working temperature of the generator rotor and stator winding, which is the key indicator for judging whether the equipment is safely running; is the cooling medium inlet temperature, that is, the initial temperature of the cooling medium (such as cooling water, cooling gas) entering the cooling system; is the winding loss power, that is, the energy loss generated by the winding in the process of energized operation due to resistance heating, etc.; is the winding thermal resistance, reflecting the hindering ability of the winding to conduct heat; The thermal time constant represents the response speed to changes in winding temperature; s is the complex frequency, used to characterize the dynamic thermal properties of the cooling system. This model clearly presents the quantitative transfer relationship between parameters such as the inlet temperature of the cooling medium and the winding power loss and the winding temperature, accurately simulating the cooling system's heat dissipation effect on the winding. The two models achieve multi-physics coupling by sharing key operating parameters. For example, the heat generated by the excitation current is transferred to the cooling system model through the winding power loss, and the cooling system's heat dissipation effect affects the winding temperature, indirectly influencing the electrical characteristics of the excitation winding, ultimately forming a complete electromagnetic-thermal coupling simulation system. This exemplary implementation, through clear mathematical formulas and parameter definitions, makes multi-physics coupling modeling more operable and accurate, providing reliable theoretical model support for subsequent power grid disturbance scenario simulations, ensuring that the simulation results truly reflect the actual operating state of the equipment.

[0052] Step 202: Under the scenario of power grid disturbance, the control effect and robustness of various control algorithm combinations are simulated and compared, the optimal algorithm combination is selected, and its parameters are optimized to generate a control strategy.

[0053] In some embodiments, based on the previously constructed multiphysics coupled mathematical model and power grid disturbance simulation scenario, the focus is on the precise selection and parameter optimization of algorithm combinations. Specifically, an adaptive control formula is used to calculate the control output, and the formula is as follows:

[0054]

[0055] in, For control output, it refers to the control signal that actually acts on the unit, such as the excitation voltage adjustment command, the speed-up rate control signal of the SFC device, and other specific control quantities. As an adaptive gain, it is not a fixed value, but is dynamically updated according to the power grid operating conditions. For example, when the intensity of power grid disturbance increases, the gain is automatically increased to speed up the response speed, and when the deviation tends to converge, the gain is reduced to avoid overshoot, ensuring the flexibility and adaptability of the control. This represents the deviation between the grid dispatch command and the actual output of the generating unit. The output here can include key operating indicators such as reactive power and speed. The magnitude of the deviation directly reflects the degree of fit between the unit's operating status and the dispatch requirements, and is the core basis for triggering control adjustments.

[0056] Fuzzy control calculates the input deviation using two key formulas. The first is the calculation of the excitation current deviation using a fuzzy control formula, which is:

[0057]

[0058] in, This refers to the excitation current deviation. is a reference value of the field current, is a reference value of the field current determined in combination with a reactive power demand of a power grid and an operating state of a unit; is an actual field current of the generator field winding collected in real time through a sensing device; and a difference between the two directly reflects a deviation of the field current and provides a quantitative basis for adjustment of the field system.

[0059] Secondly, a speed deviation is calculated by using a fuzzy control formula, and the formula is:

[0060] ,

[0061] wherein, is the speed deviation; is a target speed; is an actual speed; the speed deviation directly affects the smoothness and operating stability of mode switching and is a key input parameter in mode switching control. The two deviation parameters are core inputs of fuzzy control, and after quantization processing, fuzzy subset division (for example, division into positive large, positive medium, zero, negative medium, and negative large) and fuzzy reasoning rule operation, a specific control adjustment amount is output, which cooperates with the adaptive control output to act on the unit. In the simulation test phase, a test environment including various algorithm combinations such as single adaptive control, single fuzzy control, and adaptive-fuzzy composite control is built, control effect evaluation indexes (such as reactive power response time, voltage fluctuation amplitude, and deviation convergence speed) and robustness evaluation indexes (such as parameter stability under complex disturbance and non-oscillation operation time) are set, and each algorithm combination is simulated for multiple rounds under various power grid disturbance scenarios, and various index data are recorded. By comparative analysis, algorithm combinations with slow response lag, weak anti-disturbance ability, and easy oscillation are eliminated, and the optimal combination that can quickly respond to dispatching instructions, make the deviation converge quickly, and maintain stable operation under complex disturbance is selected. Subsequently, the core parameters (such as the initial value and update rate threshold of the adaptive gain, and the membership function boundary and reasoning rule threshold of the fuzzy control) of the combination are iteratively adjusted and simulated, parameter coupling interference is gradually eliminated, the control precision and robustness are optimized, and finally a control strategy suitable for the target unit is integrated. The beneficial effects of the example embodiment are that the control logic is quantified by clear mathematical formulas, the test comparison of the algorithm combination is more objective and operable, the optimized control strategy can accurately adapt to the power grid disturbance scenario, the control precision, response speed, and operating robustness of the phase-modulating machine are significantly improved, and reliable support is provided for subsequent equipment modification and mode switching.

[0062] In step 203, a minimum modification range is determined according to the control strategy.

[0063] In some embodiments, the determination of the minimum modification range is based on the control strategy generated in the previous optimization. By accurately analyzing the requirements of the control strategy on the dynamic response speed, reactive power output capability, operation stability and parameter regulation accuracy of the target thermal power unit, and combining the performance parameters and structural characteristics of the original unit equipment, the core components that play a decisive role in the effect of phase-modulation operation are selected, and components with redundant performance or irrelevant to the control target are excluded, and finally the modification boundary is determined. The minimum modification range specifically includes modification of the generator rotor winding, the current collector ring structure, the cooling system, the SFC device, the AVC device and the intelligent control unit. Among them, the generator rotor winding, as the core component of electromagnetic energy conversion, its number of turns and wire characteristics directly affect the excitation response speed and reactive power output capability, which need to be included in the modification according to the requirements of the control strategy on electromagnetic parameters; the current collector ring plays a key role in conducting excitation current, and its electrical conductivity, wear resistance and heat dissipation effect are directly related to the long-term stable operation of the unit, which needs to adapt to the high load operation demand under the control strategy; the cooling system needs to meet the heat dissipation demand caused by the increased winding loss under the control strategy, to avoid the influence of high temperature on control accuracy and equipment life; the SFC device is the key equipment for precise rotor speed-up when switching from power generation to phase-modulation mode, and needs to match the segmented speed-up logic in the control strategy; the AVC device is responsible for receiving and executing the grid reactive power dispatching instruction, and is an important carrier for the implementation of the control strategy; the intelligent control unit, as the core control center, needs to realize the operation and execution of the control strategy and the coordinated linkage of various systems, so it needs to be included in the minimum modification range. The beneficial effect of this step is that, through the accurate range definition guided by the control strategy, the cost waste and cycle extension caused by the traditional modification of overall change are avoided, ensuring that the modification resources are concentrated in the key links, and providing clear and efficient execution basis for subsequent modification implementation.

[0064] In step 204, the number of turns of the generator rotor winding is optimized, the cross-sectional area of the wire is adjusted, the structure of the current collector ring is modified to enhance the heat dissipation performance, the cooling system is upgraded to improve the heat dissipation efficiency, the SFC device, the AVC device and the intelligent control unit are added and connected with the original DCS system.

[0065] In some embodiments, based on the minimum modification range determined in step 203, targeted modification is carried out in combination with the specific requirements of the control strategy. When optimizing the number of turns of the generator rotor winding, according to the requirements of the control strategy for dynamic response speed and reactive power output capacity, the number of turns is adjusted to match the electromagnetic characteristic parameters, while the copper wire cross-sectional area is adjusted synchronously to adjust the copper wire cross-sectional area from the original 120 mm2 to 135-145 mm2, ensuring that the winding can still carry the rated current after optimization of the number of turns, avoiding overheating due to overload, while enhancing the inter-turn insulation strength of the rotor winding and improving the operation reliability. When modifying the collector ring structure, a silver-copper alloy material with high conductivity and wear resistance is used to make the collector ring to reduce the contact resistance and reduce power loss, adapt to the continuous high load operation under the control strategy, and at the same time, a spiral cooling groove is opened on the surface of the collector ring, the groove width is set to 3-5 mm, and the groove depth is set to 2-3 mm, the heat dissipation performance is improved by increasing the heat dissipation area to solve the problem of temperature rise under high reactive power output conditions. When upgrading the cooling system, according to the characteristics of increased winding loss under the control strategy, the cooling structure design is optimized, such as adding a micro-channel cooling structure at the end of the stator bar or optimizing the cooling water path layout to improve the circulation efficiency and heat exchange capacity of the cooling medium, ensuring that the winding temperature of the phase modifier is stably controlled within the safety range when the reactive power is output at full load. Add SFC device, AVC device and intelligent control unit, among which the SFC device is used to realize the segmented speed-up control in the control strategy, the AVC device is responsible for accurately executing the grid reactive power dispatching instructions, and the intelligent control unit integrates the operation logic of the control strategy, and completes data docking and cooperative control with the original unit DCS system and excitation system, ensuring that the hardware equipment after modification and the control strategy form a closed loop response, realizing real-time parameter regulation and control. Through precise modification of key components and addition of core devices, the device performance and the control strategy are deeply adapted, while controlling the cost and cycle of control modification, the dynamic response speed, operation stability and reactive power output capacity of the phase modifier are significantly improved, providing reliable hardware support for the effective landing of the control strategy.

[0066] Step 205, when generating electricity, the rotor is stably accelerated to the target speed by segmented speed-up control and the excitation is built up to connect to the grid.

[0067] In some embodiments, the rotor speed-up of the power generation phase-modulation and the grid-connection process of the excitation voltage build-up are realized in coordination with the reformed target thermal power unit and the optimized control strategy. The core is to ensure the rotor stable speed-up through the segmented speed-up control, and then complete the safe grid-connection through the precise excitation voltage build-up. In specific implementation, first, according to the load adjustment logic preset by the control strategy, the intelligent control unit connected with the original DCS system gradually reduces the load of the steam turbine until the load is zero, and then the decoupling operation of the steam turbine and the generator is performed to cut off the mechanical coupling connection between them, avoiding mechanical interference in the subsequent speed-up process. Subsequently, the newly added SFC device is started, and the generator rotor is driven to speed up according to the segmented speed-up control scheme. The segmented control scheme is designed according to the mechanical characteristics of different rotor speed intervals. In the 0-1500r / min stage, the speed-up rate is 50r / min s, the rotor basic speed is quickly raised; in the 1500-3000r / min stage, the speed-up rate is adjusted to 30r / min s, the speed-up efficiency and operation stability are balanced; in the 3000-3150r / min stage, the low-speed precise approach to the target speed is 10r / min s, effectively preventing mechanical impact on the rotor shaft caused by speed overshoot at high speed. During the entire speed-up process, the control strategy collects the rotor speed signal in real time, dynamically adjusts the output power of the SFC device, and ensures the stable rise of the speed and the stability at the target value of 3150r / min. After the speed is stable, the reformed excitation system is started to perform the idle walk build-up process. The control strategy adjusts the excitation voltage and current in real time according to the mathematical model of the generator excitation, monitors the voltage rise rate and amplitude, and avoids voltage mutation causing insulation damage to the equipment. After the voltage parameters after the excitation voltage build-up are completely matched with the grid voltage and frequency, and all indicators meet the grid-connection technical requirements, the control grid-connection switch is closed smoothly to complete the phase-modulation mode grid-connection operation. The beneficial effect of this step is that the segmented speed-up control and precise excitation voltage build-up are combined to avoid mechanical impact and electrical disturbance in the speed-up and grid-connection process, significantly improving the stability of the power generation phase-modulation switching and the grid-connection success rate, and ensuring the safe operation of the unit equipment and the grid.

[0068] Step 206, reduce the reactive power output to zero and disconnect the grid-connection switch, start the steam turbine to speed up to the same speed as the generator rotor, and then couple and increase the load.

[0069] In some embodiments, this step focuses on the smooth switching of phase-modulation power generation, and the entire process strictly follows the preset process of the control strategy, relying on the modified equipment to realize the orderly connection of reactive power regulation, speed synchronization and load increase. When implementing, first, through the coordinated action of AVC device and intelligent control unit, the reactive power output of the phase modifier is slowly reduced according to the speed set by the control strategy, and the reactive power output is gradually reduced to zero, avoiding the voltage fluctuation of the power grid caused by the sudden drop of reactive power, and ensuring the stability of the power grid operation. After the reactive power output is zero, the grid-connected switch is controlled to be turned off, so that the phase modifier and the power grid are safely disconnected, leaving operation space for the subsequent start-up and speed synchronization of the steam turbine. Then start the steam turbine, and the control strategy adjusts the steam admission of the steam turbine in real time according to the speed deviation signal to control the speed-up rate and ensure the smooth speed-up of the steam turbine. At the same time, the speed synchronization monitoring system collects the speed data of the steam turbine and the generator in real time, compares the speed difference between the two, and when the speed difference is reduced to the allowable range and remains stable, the coupling operation of the steam turbine and the generator is performed to avoid mechanical impact caused by different speeds. After the coupling is completed, the steam admission of the steam turbine is gradually increased according to the load increase curve preset by the control strategy, the load of the unit is increased, and the target power generation load is reached to realize the smooth transition from phase-modulation mode to power generation mode. During the entire switching process, the control strategy continuously monitors the key operating parameters such as active power, speed, voltage, etc., and adjusts the control instructions in a timely manner to ensure smooth connection of each link without obvious parameter fluctuation. Through the orderly reactive power regulation, speed synchronization and load increase, the smooth switching of phase-modulation power generation is realized, avoiding the disturbance of the grid voltage and frequency during the switching process, while protecting the key components such as the unit shaft system, and improving the reliability and flexibility of the unit operation.

[0070] In step 207, the excitation current, active power, reactive power, speed, winding temperature parameters are collected in real time, the maximum reactive power output capacity of the phase modifier is calculated, and the control strategy parameters and the configuration of the modified components are corrected according to the test results.

[0071] In some embodiments, as the core link of closed-loop optimization, the modified target thermal power unit is used as a test platform to verify multiple working conditions, collect parameters, calculate capacity and dynamically correct, so as to realize the continuous optimization of the control strategy and the configuration of the modification. When the test is carried out, typical working conditions such as full reactive power output of the phase modifier, 50% reactive power output, power grid short-circuit fault, new energy power fluctuation and mode switching need to be covered to fully test the performance of the unit under different operating scenarios. The real-time collected operating parameters include excitation current, active power, reactive power, speed and winding temperature. The excitation current directly reflects the regulation effect of the excitation system, the active power and the reactive power reflect the response ability of the unit to the power grid demand, the speed is related to the smoothness of mode switching, and the winding temperature is a key indicator for judging the safety of equipment operation. Through high-precision sensing equipment and data acquisition system, the real-time and accuracy of parameter acquisition are ensured.

[0072] The maximum reactive power output capacity calculation formula of the phase modifier is:

[0073]

[0074] wherein, is the maximum reactive power output capacity of the phase modifier, and is a core quantitative index for evaluating the modification effect; is the rated voltage, that is, the standard voltage value of the unit design operation; is the maximum excitation current after modification, which is determined by the peak value of the excitation current collected in the test; is the amplification coefficient of the excitation system, reflecting the amplification ability of the excitation system to the control signal; is the direct-axis synchronous reactance of the generator, which is the core electromagnetic parameter of the generator. Through the formula, the reactive power output potential of the phase modifier can be accurately quantified, and whether it meets the demand of the power grid reactive power support can be verified. After the test, the collected parameters and the calculation results are comprehensively analyzed. If it is found that the reactive power response speed is slow under certain working conditions, the adaptive gain update rate in the control strategy or the fuzzy control reasoning rule can be corrected; if the winding temperature exceeds the safety range, the flow distribution of the cooling system or the cooling water path layout can be adjusted; if the maximum reactive power output capacity does not reach the expectation, the number of turns or the cross-sectional area of the copper conductor of the generator rotor winding can be fine-tuned, and the related parameters of the intelligent control unit can be corrected. Through the circulation process of “test collection-data calculation-problem analysis-parameter correction-again test”, a closed-loop optimization mechanism is formed to ensure that the control strategy and the configuration of the modified components are always adapted to the actual operation state of the unit. The beneficial effects of the exemplary embodiment are that through comprehensive verification and accurate quantitative calculation under multiple working conditions, the adaptability problems in operation can be found and solved in time, the control and modification schemes are dynamically optimized, the operation stability, reactive power output capacity and grid adaptability of the phase modifier are continuously improved, and the long-term reliable reactive power support role is ensured.

[0075] Figure 3 The structure of the phase modifier modification device provided by the embodiment of the application is shown in FIG. 1, which includes an establishing module 301, a generating module 302, a modifying module 303, an executing module 304 and an optimizing module 305. Figure 3

[0076] The establishing module 301 is configured to establish a multi-physical field coupling mathematical model of the generator body, the excitation system and the cooling system, and to construct a power grid disturbance scene containing new energy, load and AC / DC transmission elements in a simulation platform;

[0077] The generating module 302 is configured to call a preset algorithm, generate an adaptive control law and a fuzzy control input / output variable system, compare the control effects and robustness of different algorithm combinations through testing, screen the optimal algorithm combination and optimize the parameters thereof to generate a control strategy;

[0078] ​The transformation module 303 is configured to generate a minimum transformation range according to the control strategy, and transform the key components of the target thermal power generating unit based on the minimum transformation range.

[0079] The execution module 304 is configured to perform the generation-tophase mode switching control based on the transformed target thermal power generating unit equipment and the control strategy.

[0080] The optimization module 305 is configured to carry out multi-working condition verification with the target thermal power generating unit as a test platform, collect operation parameters and calculate the maximum reactive power output capacity of the phase modifier, dynamically correct the control strategy parameters and the transformation component configuration according to the test results, and form a closed-loop optimization.

[0081] In some examples of the embodiment, the establishment module 301 is specifically configured to include a generator excitation mathematical model and a cooling system mathematical model in the multi-physical field coupling mathematical model.

[0082] In some examples of the embodiment, the generation module 302 is specifically configured to simulate and compare the control effect and robustness of multiple control algorithm combinations under the power grid disturbance scene, filter out the optimal algorithm combination, and optimize the parameters thereof to generate the control strategy, wherein the adaptive control formula is used to calculate the control output, the fuzzy control formula is used to calculate the excitation current deviation, and the fuzzy control formula is used to calculate the speed deviation.

[0083] In some examples of the embodiment, the transformation module 303 is specifically configured to determine the minimum transformation range according to the control strategy, the minimum transformation range includes transformation of the generator rotor winding, the current collecting ring structure, the cooling system, the SFC device, the AVC device and the intelligent control unit, optimize the number of turns of the generator rotor winding and adjust the cross-sectional area of the wire, transform the current collecting ring structure to enhance the heat dissipation performance, upgrade the cooling system to improve the heat dissipation efficiency, add the SFC device, the AVC device and the intelligent control unit and interface with the original DCS system.

[0084] In some examples of the embodiment, the execution module 304 is specifically configured to realize smooth speed-up of the rotor to the target speed and complete excitation voltage building and grid connection through segmented speed-up control when the generation is switched to the phase modulation; reduce the reactive power output to zero and disconnect the grid connection switch, start the steam turbine to speed up to be synchronized with the generator speed, and then couple and increase the load.

[0085] In some examples of the embodiment, the optimization module 305 is specifically configured to collect the excitation current, active power, reactive power, speed and winding temperature parameters in real time, calculate the maximum reactive power output capacity of the phase modifier, and correct the control strategy parameters and the transformation component configuration according to the test results.

[0086] It should be noted that other corresponding descriptions of the various functional units involved in the phase modifier modification device provided in this embodiment can be referred to the corresponding descriptions in Figure 1 , Figure 2 , which will not be repeated here.

[0087] Based on the above-mentioned phase modifier modification method as shown in Figure 1 , Figure 2 , accordingly, the present embodiment also provides a computer readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned phase modifier modification method as shown in Figure 1 , Figure 2 .

[0088] Based on the above-mentioned phase modifier modification method as shown in Figure 1 , Figure 2 , accordingly, the present embodiment also provides a computer program product having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned phase modifier modification method as shown in Figure 1 , Figure 2 .

[0089] Based on such understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a U disk, a mobile hard disk, etc.) and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0090] Based on the above-mentioned phase modifier modification method as shown in Figure 1 , Figure 2 , and the virtual device embodiment as shown in Figure 3 , in order to achieve the above-mentioned purpose, the present embodiment also provides an electronic device such as a personal computer, a server, which includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to implement the above-mentioned phase modifier modification method as shown in Figure 1 , Figure 2 .

[0091] In some embodiments, the above-mentioned physical device can also include a user interface, a network interface, a camera, a radio frequency (Radio Frequency, RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface can include a display screen (Display), an input unit such as a keyboard (Keyboard), etc. The optional user interface can also include a USB interface, a card reader interface, etc. The network interface in some embodiments can include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0092] The storage medium can further include an operating system, a network communication module. The operating system is a program for managing hardware and software resources of the above-mentioned information processing entity, supporting the running of information processing programs and other software and / or programs. The network communication module is used to realize the communication between the components in the storage medium and the communication with other hardware and software in the information processing entity.

[0093] It should be noted that, in this document, relational terms such as“first” and“second”, and the like, are used solely to distinguish one entity or action from another entity or action, without necessarily requiring or implying any actual relationship or order between such entities or actions. Moreover, the terms“comprises”,“comprising”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by“comprises a...” does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0094] The above merely provides specific embodiments of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the generic principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of modifying a phase modulator, characterized by, The application relates to a method for realizing a power generation-phase modulation mode switching control of a target thermal power generator unit. The method comprises the following steps: a multi-physical field coupling mathematical model of a generator body, an excitation system and a cooling system is established, and a power grid disturbance scene containing new energy, load and AC / DC transmission elements is constructed in a simulation platform; a preset algorithm is called to generate an adaptive control law and a fuzzy control input / output variable system, the control effects and robustness of different algorithm combinations are compared through testing, the optimal algorithm combination is screened, and parameters of the optimal algorithm combination are optimized to generate a control strategy; a minimum modification range is generated according to the control strategy, and key components of the target thermal power generator unit are modified based on the minimum modification range; a power generation-phase modulation mode switching control is performed based on the modified target thermal power generator unit equipment and the control strategy; 2. The phase modulator retrofit method of claim 1, wherein, multi-working condition verification is carried out on the target thermal power generator unit as a test platform, operation parameters are collected, the maximum reactive power output capacity of the phase modulation machine is calculated, and control strategy parameters and modified component configurations are dynamically corrected according to test results to form a closed-loop optimization. The multi-physical field coupling mathematical model of the generator body, the excitation system and the cooling system comprises the following steps: The multi-physical field coupling mathematical model comprises a generator excitation mathematical model and a cooling system mathematical model; wherein, is the field current, is the field voltage, is the generator transient e.m.f., is the field winding resistance, s is the complex frequency, is the field winding self-inductance; The formula for establishing the generator excitation mathematical model is as follows: wherein, is the winding temperature, is the cooling medium inlet temperature, is the winding loss power, is the winding thermal resistance, s is the complex frequency, is the thermal time constant.

3. The phase modulator retrofit method of claim 1, wherein, The formula for establishing the cooling system mathematical model is as follows: The preset algorithm for generating the adaptive control law and the fuzzy control input / output variable system comprises the following steps: The control effects and robustness of different control algorithm combinations are simulated, tested and compared under the power grid disturbance scene, the optimal algorithm combination is screened, and parameters of the optimal algorithm combination are optimized to generate the control strategy; wherein, is the control output, is the adaptive gain, is the deviation between the grid dispatch instruction and the actual output of the unit; The adaptive control formula is used to calculate the control output, and the formula is as follows: wherein, is the excitation current deviation, is the excitation current reference value, is the actual excitation current; The fuzzy control formula is used to calculate the excitation current deviation, and the formula is as follows: ， wherein, is a rotational speed deviation; is a target rotational speed; is an actual rotational speed.

4. The phase modulator retrofit method of claim 1, wherein, The fuzzy control formula is used to calculate the speed deviation, and the formula is as follows: The minimum modification range is generated according to the control strategy, and key components of the target thermal power generator unit are modified based on the minimum modification range, which comprises the following steps: The minimum modification range is determined according to the control strategy, and the minimum modification range comprises modification of a generator rotor winding, a current collecting ring structure, a cooling system, an SFC device, an AVC device and an intelligent control unit; 5. The phase modulator retrofit method of claim 1, wherein, The number of turns of the generator rotor winding is optimized, the cross-sectional area of the wire is adjusted, the current collecting ring structure is modified to enhance the heat dissipation performance, the cooling system is upgraded to improve the heat dissipation efficiency, the SFC device, the AVC device and the intelligent control unit are added and connected with the original DCS system. The power generation-phase modulation mode switching control is performed based on the modified target thermal power generator unit equipment and the control strategy, which comprises the following steps: When the power generation-phase modulation mode switching control is performed, the rotor is stably accelerated to a target speed through segmented speed control, excitation voltage is built, and the generator is connected to the grid; 6. The phase modulator retrofit method of claim 1, wherein, The reactive power output is reduced to zero, the grid connection switch is disconnected, the steam turbine is started and accelerated to be synchronized with the generator speed, and then the steam turbine is coupled and the load is increased. The operation parameters are collected, the maximum reactive power output capacity of the phase modulation machine is calculated, and the control strategy parameters and modified component configurations are dynamically corrected according to the test results. Real-time acquisition of excitation current, active power, reactive power, speed, winding temperature parameters, calculation of maximum reactive power output capacity of the phase modifier, and correction of control strategy parameters and component configuration based on test results, the maximum reactive power output capacity of the phase modifier calculation formula is: wherein, is the maximum reactive output capacity of the phase modifier; is the rated voltage; is the maximum field current after modification; is the amplification factor of the field system; is the direct axis synchronous reactance of the generator.

7. A phase modifier retrofit device, characterized by Comprising: The establishing module is configured to establish a multi-physical field coupling mathematical model of the generator body, the excitation system and the cooling system, and to construct a power grid disturbance scene containing new energy, load and AC / DC transmission elements in a simulation platform; The generating module is configured to call a preset algorithm, generate an adaptive control law and a fuzzy control input-output variable system, compare the control effect and robustness of different algorithm combinations through testing, select the optimal algorithm combination and optimize its parameters to generate a control strategy; The transformation module is configured to generate a minimum transformation range based on the control strategy, and to transform the key components of the target thermal power generating unit based on the minimum transformation range; The execution module is configured to perform generating-phase-modulating mode switching control based on the transformed target thermal power generating unit equipment and the control strategy; The optimization module is configured to carry out multi-working-condition verification with the target thermal power generating unit as a test platform, to collect operating parameters and calculate the maximum reactive power output capacity of the phase modifier, and to dynamically correct the control strategy parameters and component configuration based on the test results to form a closed-loop optimization.

8. An electronic device, comprising: Comprising: At least one processor; and a memory connected in communication with the at least one processor; Wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the phase modifier transformation method of any one of claims 1-6.

9. A non-transitory computer-readable storage medium having stored thereon computer instructions, wherein, The computer instructions are used to make the computer execute the phase modifier transformation method according to any one of claims 1-6.

10. A computer program product, characterised in that, Comprising a computer program, which, when executed by a processor, implements the phase modifier transformation method according to any one of claims 1-6.

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