Intelligent monitoring and treatment system and method for oscillation of offshore wind power coupling wind-fire storage base

Abstract

The invention relates to the technical field of electric energy storage systems, in particular to an intelligent monitoring and treatment system and method for oscillation of an offshore wind power coupling wind-fire storage base. Comprising the following steps: based on an offshore wind power base, an offshore wind power base networking type energy storage power station, an offshore networking type converter station, a booster station, an onshore converter station, an onshore wind power base, an onshore thermal power base and an onshore energy storage base, carrying out oscillation monitoring management research under low short-circuit ratio access and isolated network operation to realize voltage, frequency and short-circuit capacity adjustment and inertial support; the method has the advantages that the power angle is stable, intelligent hybrid networking is achieved, high and low voltage ride through is avoided, optimal adjustment of power grid support is achieved, and the purpose of intelligent oscillation treatment is achieved through digital twin transient modeling, source-grid-storage damping cooperation and self-adaptive damping optimization control and energy storage active damping control.

Description

Technical Field

[0001] This application relates to the field of energy storage system technology, and in particular to an intelligent monitoring and control system and method for offshore wind power coupled with wind-fire storage base oscillations. Background Technology

[0002] With the rapid development of the new energy industry, offshore wind power has become an important support for energy structure transformation due to its abundant resources and lack of onshore space occupation. However, offshore wind power coupled with multiple energy bases faces significant system stability challenges in actual operation, as detailed below: 1. Weak Power Grid Environment: The sending-end system of this type of energy base relies on long-distance submarine cables for power transmission. Submarine cables have extremely high capacitance to ground and large inductance, causing the sending-end system to exhibit strong capacitive or weakly inductive characteristics. This is fundamentally different from the strong inductive characteristics commonly found in onshore power grids. Under this influence, the system's natural resonant frequency tends to fall within the subsynchronous or supersynchronous range, making it highly susceptible to external disturbances and thus causing oscillations.

[0003] 2. Dual Inertial Deficiencies: Inertial support is crucial for ensuring power system frequency stability, but this type of coupled system suffers from a significant dual inertial deficiency. First, offshore wind power is connected to the grid via converters, whose power electronic conversion characteristics prevent them from providing physical inertia to the system. Second, the thermal power components of the system typically use gas turbines or diesel engines, whose rotor inertia is far less than that of traditional large coal-fired power units. These dual deficiencies result in an extremely low equivalent inertial constant for the entire system, making it highly susceptible to frequency fluctuations and power disturbances, significantly increasing the risk of system frequency instability.

[0004] 3. Risk of a "Dead End" in Fault Ride-Through: When the power grid experiences disturbances such as voltage drops or power surges, the phase-locked loop (PLL) of wind power converters in weak grid environments is prone to loss of lock-up, leading to wind power output interruption. Simultaneously, traditional thermal power units may also experience operational instability under strong disturbances. Without additional support and control measures, these problems will trigger a chain reaction, ultimately leading to system voltage and frequency collapse, creating a "dead end" in fault ride-through.

[0005] 4. Deep coupling across multiple time scales: The dynamic responses of different energy units within the system are at different time scales and are deeply coupled. The dynamic behaviors of multiple time scales are superimposed and coupled, making the dynamic characteristics of the system extremely complex and increasing the difficulty of regulation.

[0006] 5. Potential conflicts in control objectives: There are inherent differences in the control objectives of the various energy units within the system, and there may even be direct conflicts.

[0007] 6. Special oscillation modes: Due to the influence of system structure and operating characteristics, such coupled systems are prone to various special oscillation modes, which seriously threaten the safe operation of the system.

[0008] In summary, the existing offshore wind power coupled with multiple energy sources is extremely difficult to control in terms of stability, and suffers from poor frequency stability, weak voltage support, and severe grid oscillations, which restricts the large-scale development and safe operation of energy bases and urgently needs to be addressed. Summary of the Invention

[0009] This application provides an intelligent monitoring and control system and method for oscillations in offshore wind power coupled with wind-fired energy storage bases. This system addresses the challenges of stability control in existing offshore wind power coupled with multiple energy technologies, which suffer from poor frequency stability, weak voltage support, and severe grid oscillations, thus hindering the large-scale development and safe operation of energy bases.

[0010] The first aspect of this application provides an intelligent monitoring and control system for oscillations in offshore wind power coupled with wind-thermal energy storage, comprising: an offshore wind power base, the output end of which is connected to a preset first busbar for providing offshore wind power resources to generate corresponding offshore wind power AC; and an offshore wind power base grid-type energy storage power station, which is composed of multiple multi-element energy storage units, the input end of which is connected to the first busbar, and the output end of which is connected to a preset second busbar for smoothing the oscillations in the offshore wind power base. The system includes: AC power output corresponding to the offshore wind power base; regulation of the active and reactive power output of the offshore wind power base to balance system power; and pre-set grid-connection operations for the offshore wind power AC power, enabling the offshore wind power AC power to have grid-connection characteristics and black-start performance; an offshore grid-connected converter station, the input end of which is connected to the second busbar, and the output end of which is connected to a pre-set third busbar, used to generate DC power corresponding to the offshore wind power AC power, and to raise the DC power to the target voltage level, and also having grid-connection performance; and a superconducting phase-tuning power station, the superconducting phase-tuning power station... The output of the pilot-controlled phase power station is connected to the third busbar, used to perform preset phase control operations on the offshore wind power AC, and adjust the corresponding short-circuit capacity and reactive power; the onshore converter station, with its input connected to the third busbar and its output connected to a preset fourth busbar, is used to convert the DC output from the offshore grid-type converter station into corresponding AC, and input the AC to the fourth busbar; the onshore wind power base, with its output connected to the step-up substation, is used to provide onshore wind power resources to generate corresponding onshore wind power. Wind power AC; onshore energy storage base, the output of which is connected to the fourth busbar to provide onshore energy storage resources; onshore thermal power base, the output of which is connected to the fourth busbar to provide onshore thermal power resources to generate corresponding onshore thermal power AC; step-up substation, the input of which is connected to the onshore wind power base, and the output of which is connected to the fourth busbar to increase the voltage of the onshore wind power AC to the target voltage level, and input the onshore wind power AC increased to the target voltage level into the fourth busbar.

[0011] Based on the aforementioned technical means, this application embodiment conducts research on oscillation monitoring and mitigation under low short-circuit ratio access and islanded grid operation, based on offshore wind power bases, offshore wind power base grid-connected energy storage power stations, offshore grid-connected converter stations, booster stations, onshore converter stations, onshore wind power bases, onshore thermal power bases, and onshore energy storage bases. It achieves voltage, frequency, short-circuit capacity adjustment and inertial support, power angle stability, intelligent hybrid networking, avoidance of high and low voltage ride-through, and optimized regulation of grid support. Furthermore, it achieves the goal of intelligent oscillation mitigation through digital twin transient modeling, "source-grid-storage damping coordination" and "adaptive damping optimization" control, and active damping control of energy storage.

[0012] Optionally, in one embodiment of this application, the offshore wind power base grid-type energy storage power station includes: a supercapacitor bank and a superconducting magnetic energy storage bank, used to provide inertial support for instantaneous energy storage and to mitigate commutation failure and broadband oscillation in offshore wind power soft direct transmission; a lithium iron phosphate battery bank, used for energy storage operation meeting a first preset duration requirement; a vanadium redox flow battery bank, used for energy storage operation meeting a second preset duration requirement; and multiple grid-type energy storage converters, the input terminals of which are connected to the multiple multi-element energy storage converters. The unit's output is connected to provide a target AC power with a preset frequency and grid-connected attributes using a preset grid-connected control strategy; multiple grid-connected energy storage controllers are used to coordinate and control the energy storage module group composed of multiple preset energy storage modules connected in series to perform primary, secondary, and tertiary frequency regulation, transient voltage construction support, steady-state voltage regulation, black-start backup, high and low voltage ride-through management, and active and reactive power regulation operations. The multiple energy storage modules are composed of multiple multi-element energy storage units and multiple grid-connected energy storage converters.

[0013] Based on the above technical means, the embodiments of this application achieve instantaneous to long-term all-time energy storage support through the collaboration of multiple energy storage units and intelligent control devices, endowing wind power grid construction characteristics, effectively managing oscillation and commutation failure, and improving the system's stable operation capability and wind power absorption efficiency.

[0014] Optionally, in one embodiment of this application, the offshore grid-type converter station consists of a grid-type static compensator group and a grid-type unified power flow controller group, and has broadband oscillation control function, impedance regulation function and grid-type attributes.

[0015] Based on the above-mentioned technical means, the embodiments of this application can accurately manage broadband oscillations, flexibly adjust system impedance, enhance the adaptability of converter stations to the power grid, and improve the stability, flexibility and independent operation capability of offshore power transmission through the collaboration of dual-structure grid units.

[0016] Optionally, in one embodiment of this application, when connected with a low short-circuit ratio, short-circuit capacity and millisecond-level reactive power regulation are achieved through a superconducting phase-modulated power station composed of a superconducting phase-modulated transformer group and a grid-type SVG group equipped with supercapacitors.

[0017] Based on the above technical means, the embodiments of this application can specifically solve the system stability problem in low short-circuit ratio access scenarios, thereby achieving short-circuit capacity optimization and millisecond-level precise reactive power adjustment, effectively ensuring the smooth access of new energy power and the stable operation of the system.

[0018] Optionally, in one embodiment of this application, a multi-resource damping collaborative control platform is installed on the offshore grid-type converter station to collect and uniformly allocate damping information of the offshore wind power base, the offshore wind power base grid-type energy storage power station, the onshore wind power base, the superconducting phase-tuning power station, the onshore energy storage base, and the onshore thermal power base, so as to maintain the power angle stability of the entire power system and the damping regulation and broadband oscillation control of the entire system.

[0019] Based on the above technical means, the embodiments of this application can realize the overall planning and coordinated control of damping information of multiple energy units in the whole system, avoid the problem of damping incoordination, thereby accurately ensuring the power angle stability of the power system and improving the overall operational reliability of the multi-energy coupling system.

[0020] Optionally, in one embodiment of this application, all offshore wind power is transmitted via a conventional LCC-HVDC converter, and a VSC-STATCOM is installed at the AC bus of a pre-designed onshore LCC converter station to meet the pre-designated offshore wind power transmission requirements.

[0021] Based on the above technical means, the embodiments of this application can make up for the defects of traditional LCC-HVDC transmission, thereby providing precise reactive power support and voltage regulation, mitigating commutation failure, ensuring stable and efficient transmission of offshore wind power, and adapting to the characteristics of wind power output fluctuations.

[0022] Optionally, in one embodiment of this application, a preset digital twin full-system impedance transient modeling strategy is used to perform small-signal impedance modeling of components in the frequency domain, impedance aggregation and equivalence at the station / cluster level, full-system interconnection and model verification, calculate the impedance ratio curve of the entire system, and apply the generalized Nyquist criterion and the Nyquist criterion to predict broadband oscillation risk.

[0023] Based on the above-mentioned technical means, the embodiments of this application can achieve accurate characterization of the impedance characteristics of the entire system and early prediction of broadband oscillation risks, thereby providing a scientific basis for oscillation prevention and control, and improving the safety and stability of multi-energy coupled system operation.

[0024] Optionally, in one embodiment of this application, an intelligent hybrid grid control system is constructed through the offshore wind power base and the onshore wind power base, and the intelligent hybrid grid control system is installed on the onshore converter station to dynamically adjust the power limits of offshore and onshore wind power, track and adjust the power flow distribution in a timely manner, and maintain the power balance of the power system.

[0025] Based on the above-mentioned technical means, the embodiments of this application can realize the overall control of offshore and onshore wind power, so as to dynamically optimize the power limit and power flow distribution, smooth the fluctuation of wind power output, thereby ensuring the power balance of the power system and improving the utilization rate of wind power resources and the stability of system operation.

[0026] Optionally, in one embodiment of this application, a preset digital twin full-system impedance transient modeling and simulation device is installed on the offshore grid-type converter station to calculate the impedance ratio curve of the entire system. The generalized Nyquist criterion and the Nyquist criterion are applied to predict broadband oscillation risk and determine whether the target AC current has oscillation risk. If the target AC current has oscillation risk, preset broadband oscillation prevention operations are performed. Damping coordination control of the entire system is implemented for the offshore wind power base, the offshore wind power base grid-type energy storage power station, and... The damping coordination capabilities of the onshore wind power base, the superconducting phase-tuning power station, the onshore energy storage base, and the onshore thermal power base at different frequencies are uniformly modeled to obtain the optimal control combination and develop a damping adaptive algorithm. "Wind-storage" damping coordination control function and "wind-thermal-storage" damping coordination control function are added to the energy storage converters of the offshore grid-type energy storage power station and the onshore energy storage base. By adding a wideband oscillation damping "wind-storage" damping coordination controller and a "wind-thermal-storage" damping coordination controller, source-grid-storage adaptive coordination control is realized.

[0027] Based on the above-mentioned technical means, the embodiments of this application can achieve accurate prediction and timely prevention of broadband oscillation risks, and through the coordinated control of damping of the whole system, effectively ensure the damping matching of multiple energy units and improve the system's stable operation capability.

[0028] The second aspect of this application provides a method for intelligent monitoring and control of oscillations in offshore wind power coupled with wind-fire storage, comprising the following steps: installing a pre-set digital twin full-system impedance transient modeling and simulation device on a pre-set offshore grid-type converter station; calculating the impedance ratio curve of the entire system; applying the generalized Nyquist criterion and the Nyquist criterion to predict broadband oscillation risk; determining whether the target AC current has oscillation risk; and performing pre-set broadband oscillation prevention operations when the target AC current has the oscillation risk. Furthermore, uniformly modeling the damping coordination capabilities of multiple energy structures at different frequencies to obtain the optimal control group. A damping adaptive algorithm was developed, and a multi-resource damping collaborative control platform was installed at the offshore grid-type converter station. With the consent of the power grid dispatch, the adjustment parameters of nodes in the power grid that meet the preset importance requirements were adjusted to perform damping adjustment on the wind power base, thermal power base, wind and solar base, and grid-type energy storage power station to achieve the preset intelligent oscillation management requirements. The grid-type energy storage power station at the wind and solar base and the onshore energy storage base respectively adjusted the EMS controller of the energy storage in their respective stations to add positive or reverse current injection of active damping controllers to provide active damping to achieve the preset intelligent oscillation management requirements. The energy storage in the offshore grid-type energy storage power station... The converters are equipped with a "wind-storage" damping coordination control function to coordinate the damping of the offshore wind power base and the offshore grid-type energy storage power station. Each converter in the offshore wind power base and the offshore grid-type energy storage power station is equipped with a damping adaptive adjustment control function, utilizing a wide-frequency oscillation damping adaptive PID controller with a preset adaptive algorithm and control strategy to dynamically adjust the virtual damping to achieve preset intelligent oscillation management requirements. The energy storage converters in the onshore energy storage base are equipped with a "wind-thermal-storage" damping coordination control function to coordinate the damping of the onshore wind power base, onshore thermal power base, and onshore energy storage base. In onshore wind power bases, each converter is equipped with damping adaptive adjustment control function. Utilizing a wideband oscillation damping adaptive PID controller with a preset adaptive algorithm and control strategy, the virtual damping is dynamically adjusted to meet preset intelligent oscillation management requirements. In onshore thermal power bases, an adaptive damping controller based on reinforcement learning is installed, enabling the PSS / SEDC parameters to be dynamically optimized according to system operating conditions, thus meeting preset intelligent oscillation management requirements. In offshore grid-type converter stations, impedance adjustment is achieved through grid-type static compensator groups and grid-type unified power flow controller groups to meet preset intelligent oscillation management requirements.

[0029] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations as described in the above embodiments.

[0030] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described intelligent monitoring and control method for offshore wind power coupled with wind and fire reservoir oscillations.

[0031] Therefore, the embodiments of this application have the following beneficial effects: The embodiments of this application include an offshore wind power base, the output end of which is connected to a preset first busbar to provide offshore wind power resources and generate corresponding offshore wind power AC power; and a grid-type energy storage power station for the offshore wind power base, which consists of multiple multi-element energy storage units. The input end of the grid-type energy storage power station is connected to the first busbar, and the output end is connected to a preset second busbar to smooth and regulate the AC power output corresponding to the offshore wind power base. The offshore wind power base outputs active and reactive power to balance system power and performs pre-set grid-connection operations on the offshore wind power AC, giving the offshore wind power AC grid-connection characteristics and black-start performance; the offshore grid-connected converter station, with its input end connected to the second busbar and its output end connected to the pre-set third busbar, is used to generate DC power corresponding to the offshore wind power AC, and raise the DC power to the target voltage level, and also has grid-connection performance; the superconducting phase-tuning power station, with its output end... Connected to the third busbar, it performs preset phase regulation on the offshore wind power AC power and adjusts the corresponding short-circuit capacity and reactive power. The onshore converter station's input is connected to the third busbar, and its output is connected to a preset fourth busbar. It converts the DC power output from the offshore grid-type converter station into corresponding AC power and inputs the AC power to the fourth busbar. The onshore wind power base's output is connected to the step-up substation to provide onshore wind power resources to generate corresponding onshore wind power AC power. Electricity; Onshore energy storage base, the output end of which is connected to the fourth busbar to provide onshore energy storage resources; Onshore thermal power base, the output end of which is connected to the fourth busbar to provide onshore thermal power resources to generate corresponding onshore thermal AC power; Step-up substation, the input end of which is connected to the onshore wind power base, and the output end of which is connected to the fourth busbar to increase the voltage of the onshore wind power AC power to the target voltage level, and input the onshore wind power AC power increased to the target voltage level into the fourth busbar. This application focuses on oscillation monitoring and mitigation research based on offshore wind power bases, offshore wind power base grid-connected energy storage power stations, offshore grid-connected converter stations, booster stations, onshore converter stations, onshore wind power bases, onshore thermal power bases, and onshore energy storage bases, under low short-circuit ratio access and islanded grid operation. It achieves voltage, frequency, short-circuit capacity adjustment and inertial support, power angle stability, intelligent hybrid networking, avoidance of high and low voltage ride-through, and optimized regulation of grid support. Furthermore, it achieves the goal of intelligent oscillation mitigation through digital twin transient modeling, "source-grid-storage damping synergy" and "adaptive damping optimization" control, and active damping control of energy storage.This solves the problems of extremely difficult stability control, poor frequency stability, weak voltage support, and severe grid oscillation in existing offshore wind power coupled with multiple energy sources, which restrict the large-scale development and safe operation of energy bases.

[0032] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0033] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is an example diagram of an intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to an embodiment of this application; Figure 2 A schematic diagram of the execution logic of an intelligent monitoring and control system for offshore wind power coupled with wind and fire storage base oscillations, provided as an embodiment of this application; Figure 3 A schematic diagram of the logical architecture of an intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations, provided as an embodiment of this application; Figure 4 This is a flowchart of a method for intelligent monitoring and control of oscillations at offshore wind power coupled with wind and thermal energy storage bases, provided according to an embodiment of this application. Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0034] Among them, 10-Intelligent monitoring and control system for oscillations in offshore wind power coupled with wind-thermal-storage power base; 100-Offshore wind power base, 200-Offshore wind power base grid-type energy storage power station, 300-Offshore grid-type converter station, 400-Superconducting phase-tuning power station, 500-Onshore converter station, 600-Onshore wind power base, 700-Onshore energy storage base, 800-Onshore thermal power base, 900-Boosting station; 501-Memory, 502-Processor, 503-Communication interface. Detailed Implementation

[0035] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0036] The following description, with reference to the accompanying drawings, describes an intelligent monitoring and control system and method for oscillations at offshore wind power coupled with wind-fired energy storage bases, based on embodiments of this application. Addressing the problems mentioned in the background section, this application provides an intelligent monitoring and control system for oscillations at offshore wind power coupled with wind-fired energy storage bases. This system includes an offshore wind power base, the output of which is connected to a preset first busbar to provide offshore wind power resources and generate corresponding offshore wind power AC power; and a grid-type energy storage power station at the offshore wind power base, composed of multiple multi-element energy storage units. The input of the grid-type energy storage power station is connected to the first busbar, and the output of the grid-type energy storage power station is connected to... A pre-defined second busbar is connected to smooth the AC output corresponding to the offshore wind power base and regulate the output active and reactive power of the offshore wind power base to balance the system power. It also performs pre-defined grid-connection operations on the offshore wind power AC power, giving it grid-connection characteristics and black-start performance. The offshore grid-connected converter station has its input end connected to the second busbar and its output end connected to a pre-defined third busbar. This is used to generate DC power corresponding to the offshore wind power AC power and raise the DC power to the target voltage level, and it also has… Grid performance; Superconducting phase-modulated power station: The output of the superconducting phase-modulated power station is connected to the third busbar, used to perform preset phase modulation operations on the AC power from offshore wind power, and adjust the corresponding short-circuit capacity and reactive power; Onshore converter station: The input of the onshore converter station is connected to the third busbar, and the output of the onshore converter station is connected to a preset fourth busbar, used to convert the DC power output from the offshore grid-type converter station into the corresponding AC power, and input the AC power to the fourth busbar; Onshore wind power base: The output of the onshore wind power base is connected to the step-up substation, used to provide onshore wind power resources, to The system generates corresponding onshore wind power AC; an onshore energy storage base, whose output is connected to the fourth busbar, is used to provide onshore energy storage resources; an onshore thermal power base, whose output is connected to the fourth busbar, is used to provide onshore thermal power resources to generate corresponding onshore thermal power AC; and a step-up substation, whose input is connected to the onshore wind power base and whose output is connected to the fourth busbar, is used to increase the voltage of the onshore wind power AC to the target voltage level and input the increased onshore wind power AC to the fourth busbar.This application, based on offshore wind power bases, offshore wind power base grid-connected energy storage power stations, offshore grid-connected converter stations, booster stations, onshore converter stations, onshore wind power bases, onshore thermal power bases, and onshore energy storage bases, conducts research on oscillation monitoring and mitigation under low short-circuit ratio access and islanded operation. It achieves voltage, frequency, and short-circuit capacity adjustment and inertial support, power angle stability, intelligent hybrid networking, avoidance of high- and low-voltage ride-through, and optimized regulation of grid support. Furthermore, it achieves intelligent oscillation mitigation through digital twin transient modeling, "source-grid-storage damping synergy" and "adaptive damping optimization" control, and active damping control of energy storage. This solves the problems of extremely high stability control difficulty, poor frequency stability, weak voltage support capability, and severe grid oscillations in existing offshore wind power coupled with multiple energy technologies, which restrict the large-scale development and safe operation of energy bases.

[0037] First, with reference to the accompanying drawings, the intelligent monitoring and control system for offshore wind power coupled with wind and fire storage base oscillations proposed according to the embodiments of this application is described.

[0038] Specifically, Figure 1 This is a block diagram of the intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations, according to an embodiment of this application.

[0039] like Figure 1 As shown, the offshore wind power coupled wind-thermal-storage base oscillation intelligent monitoring and control system 10 includes: an offshore wind power base 100, an offshore wind power base grid-type energy storage power station 200, an offshore grid-type converter station 300, a superconducting phase-tuning power station 400, an onshore converter station 500, an onshore wind power base 600, an onshore energy storage base 700, an onshore thermal power base 800, and a booster station 900.

[0040] Among them, the offshore wind power base 100 has its output end connected to a preset first busbar to provide offshore wind power resources and generate corresponding offshore wind power AC power.

[0041] The offshore wind power base grid-type energy storage power station 200 is composed of multiple multi-element energy storage units. The input end of the offshore wind power base grid-type energy storage power station 200 is connected to the first busbar, and the output end of the offshore wind power base grid-type energy storage power station 200 is connected to the preset second busbar. It is used to smooth the AC power output corresponding to the offshore wind power base and regulate the output active power and reactive power of the offshore wind power base to balance the system power. It also performs preset grid-type operation on the offshore wind power AC power, so that the offshore wind power AC power has grid-type characteristics and black start performance.

[0042] In the embodiments of this application, the offshore wind power base 100, as the core wind power energy supply unit, typically consists of multiple large-capacity offshore wind turbine generators, power collection lines, foundation support structures, and related monitoring and maintenance equipment. The wind turbine generators capture offshore wind energy to drive the rotor rotation, converting wind energy into mechanical energy, which is then converted into initial offshore wind power AC by the generator. The output end of the base is stably connected to a pre-set first busbar (i.e., a 35KV busbar), which centrally aggregates the electrical energy from multiple generators, ensuring that the generated offshore wind power AC can be orderly and stably transmitted to subsequent processing units, providing continuous and clean wind power resource support for the entire energy system.

[0043] Secondly, the multiple multi-element energy storage units in the 200-cell grid-type energy storage power station at the offshore wind power base are not of a single type, but rather adopt a composite configuration of "instantaneous response + short-to-medium-term energy storage." Typical configurations include supercapacitor banks, superconducting magnetic energy storage banks, lithium iron phosphate battery banks, and vanadium redox flow battery banks. Among these, the supercapacitor banks and superconducting magnetic energy storage banks are responsible for instantaneous energy storage and inertia support, the lithium iron phosphate battery banks meet short-to-medium-term energy storage needs for several hours, and the vanadium redox flow battery banks are suitable for long-term energy storage scenarios. The input end of this energy storage power station is connected to the first busbar via a dedicated connection line, allowing it to directly receive AC power output from the offshore wind power base; the output end is connected to a pre-set second busbar (i.e., a 220kV busbar) to achieve the orderly output of processed electrical energy.

[0044] In terms of functionality, the offshore wind power base grid-type energy storage power station 200 can smooth the AC power output of the offshore wind power base through its internal grid-type energy storage converter and coordinated controller. Specifically, addressing the inherent volatility and intermittency of wind power, the charging and discharging of the energy storage units mitigates short-term fluctuations in wind power output (such as sudden power spikes and drops caused by gusts), ensuring stable output power. Furthermore, it precisely adjusts the active and reactive power output of the offshore wind power base, matching system load demand and grid operating status in real time to achieve system power balance and prevent grid voltage and frequency fluctuations caused by power imbalance. Simultaneously, this embodiment can perform grid-connection operations on the offshore wind power AC power through a preset grid-connection control strategy, endowing it with grid-connection characteristics such as voltage source characteristics, inertia support capabilities, and frequency regulation capabilities. It also possesses black-start performance, enabling it to automatically start and restore power to relevant loads without external power supply support in scenarios of complete system blackout or partial power outage, thus improving system power supply reliability.

[0045] Therefore, the embodiments of this application can stabilize offshore wind power output, ensure system power balance, and endow wind power with AC grid characteristics and black start capability, effectively improving the offshore wind power absorption capacity and the stability, reliability and flexibility of energy system operation.

[0046] Optionally, in one embodiment of this application, the offshore wind power base grid-type energy storage power station 200 includes: a supercapacitor bank, a superconducting magnetic energy storage bank, a lithium iron phosphate battery bank, a vanadium redox flow battery bank, multiple grid-type energy storage converters, and multiple grid-type energy storage controllers.

[0047] Among them, the supercapacitor group and the superconducting magnetic energy storage group are used to provide inertial support for instantaneous energy storage, and to address the failure of commutation in offshore wind power's flexible direct transmission and to address broadband oscillations.

[0048] The lithium iron phosphate battery pack is used for energy storage operations that meet a first preset duration requirement.

[0049] The vanadium redox flow battery is used for energy storage operations that meet the second preset duration requirement.

[0050] Multiple grid-type energy storage converters are connected to the output terminals of multiple multi-element energy storage units, which are used to provide target AC power with a preset frequency and grid-type attributes by utilizing a preset grid control strategy.

[0051] Multiple grid-type energy storage controllers are used to coordinate and control energy storage module groups composed of multiple preset energy storage modules connected in series to perform primary, secondary, and tertiary frequency regulation, transient voltage construction support, steady-state voltage regulation, black start backup, high and low voltage ride-through management, and active and reactive power regulation operations. Among them, multiple energy storage modules are composed of multiple multi-element energy storage units and multiple grid-type energy storage converters.

[0052] It should be noted that the offshore wind power base grid-type energy storage power station 200 in this application embodiment specifically includes a supercapacitor bank, a superconducting magnetic energy storage bank, a lithium iron phosphate battery bank, a vanadium redox flow battery bank, multiple grid-type energy storage converters, and multiple grid-type energy storage controllers. Each component works together to ensure the grid-type function and stable operation of the energy storage power station.

[0053] Among them, the supercapacitor bank and the superconducting magnetic energy storage bank, as core units of instantaneous response energy storage, possess millisecond-level charge and discharge response speed and high power density characteristics. Working together, they provide instantaneous energy storage support for the system, quickly compensating for the instantaneous fluctuations in offshore wind power output, and injecting virtual inertia into the system to alleviate the problem of insufficient system inertia in scenarios with high penetration of new energy. On the other hand, addressing the risk of commutation failure that is prone to occur in offshore wind power flexible DC transmission systems, they manage voltage drops and current distortions during the commutation process through rapid power regulation capabilities, and can also accurately manage oscillation problems over a wide frequency range (covering subsynchronous, supersynchronous, and mid-frequency bands), ensuring the stable operation of the flexible DC transmission system.

[0054] Secondly, lithium iron phosphate battery packs are short- to medium-term energy storage units with high energy density and cycle life. Their core function is to perform energy storage operations that meet the first preset duration requirement. This first preset duration is typically 1-4 hours, suitable for short- to medium-term scenarios such as smoothing daytime power output fluctuations and peak-valley load regulation in offshore wind power. Through charging and discharging, excess electrical energy during off-peak hours is stored and released during peak hours, improving the utilization efficiency of wind power energy.

[0055] Vanadium redox flow battery packs serve as long-duration energy storage units, offering advantages such as large energy storage capacity, long cycle life, high safety, and controllable charge / discharge depth. They are used to perform energy storage operations that meet the second preset duration requirement. The second preset duration is generally no less than 4 hours, adaptable to long-duration scenarios such as wind power output smoothing across days and weeks and system emergency backup, further enhancing the system's tolerance to wind power intermittency.

[0056] Furthermore, multiple grid-connected energy storage converters are the core devices for achieving power conversion and endowing grid-connected characteristics. Their input terminals are connected one-to-one with the output terminals of multiple multi-element energy storage units, such as supercapacitor banks and superconducting magnetic energy storage units, through dedicated interfaces, forming a distributed conversion architecture. These converters have built-in preset grid-connected control strategies (such as virtual synchronous generator control strategies), which can convert the electrical energy output from each energy storage unit into AC power of a preset frequency (such as the power frequency of 50Hz), while endowing the power with voltage source characteristics, frequency regulation capabilities, and other grid-connected attributes, ensuring that the output target AC power can be directly coordinated with the power grid.

[0057] Subsequently, multiple grid-connected energy storage controllers undertake the core responsibility of coordinated control of the entire power plant, employing a distributed control architecture. Their controlled objects are pre-defined energy storage module groups composed of multiple energy storage modules connected in series. Each energy storage module consists of a multi-element energy storage unit and a grid-connected energy storage converter, ensuring the accuracy and independence of control. Specifically, the controllers can coordinate the various energy storage module groups to complete multi-dimensional regulation operations: including primary frequency regulation (smoothing instantaneous frequency fluctuations), secondary frequency regulation (precisely restoring the system frequency), and tertiary frequency regulation (responding to slow load changes); providing transient voltage construction support (rapidly establishing voltage in fault scenarios), steady-state voltage regulation (maintaining voltage stability during normal operation); possessing black-start backup capability (able to start power supply when the system is completely dark), and high and low voltage ride-through management (responding to abnormal grid voltage fluctuations). Simultaneously, they achieve precise allocation and regulation of active and reactive power for each module, ensuring efficient collaboration among all components of the entire power plant and guaranteeing overall system stability.

[0058] Therefore, the embodiments of this application achieve instantaneous to long-term all-time energy storage support through the collaboration of multiple energy storage units and intelligent control devices, endowing wind power grid construction characteristics, effectively managing oscillation and commutation failure, and improving the system's stable operation capability and wind power absorption efficiency.

[0059] The offshore grid-type converter station 300 has its input end connected to the second busbar and its output end connected to the preset third busbar. It is used to generate DC power corresponding to offshore wind power AC power and raise the DC power to the target voltage level, and has grid-connection capabilities.

[0060] The superconducting phase-tuning power station 400 has its output terminal connected to the third busbar. It is used to perform preset phase-tuning operations on the AC power of offshore wind power and to adjust the corresponding short-circuit capacity and reactive power.

[0061] The onshore converter station 500 has its input end connected to the third busbar and its output end connected to the preset fourth busbar. It is used to convert the DC power output from the offshore grid-type converter station 300 into the corresponding AC power and input the AC power to the fourth busbar.

[0062] The onshore wind power base 600 has its output end connected to the booster station to provide onshore wind power resources and generate corresponding onshore wind power AC power.

[0063] The onshore energy storage base 700 has its output end connected to the fourth busbar to provide onshore energy storage resources.

[0064] The output of the onshore thermal power base 800 is connected to the fourth busbar to provide onshore thermal power resources to generate corresponding onshore thermal power AC power.

[0065] The input terminal of the booster station 900 is connected to the onshore wind power base 600, and the output terminal of the booster station 900 is connected to the fourth busbar. It is used to increase the voltage of the onshore wind power AC to the target voltage level and input the onshore wind power AC to the fourth busbar.

[0066] Furthermore, such as Figure 2 As shown in the embodiment of this application, the input end of the offshore grid-type converter station 300 can also be connected to the second busbar through a stable line connection to receive the offshore wind power AC after being processed by the grid-type energy storage power station. The output end is connected to the preset third busbar (i.e., the 500KV busbar). The core function of this converter station is to generate DC power corresponding to the offshore wind power AC through the internal power electronic conversion module, and at the same time, to boost the DC power to the target voltage level that meets the requirements of long-distance transmission with the help of the boost unit. Moreover, it has stable grid performance based on grid control technology, ensuring the reliability of offshore power transmission.

[0067] The output of the superconducting phase-modulated power station 400 is precisely connected to the third busbar. Its core function is to perform preset phase-modulation operations on the offshore wind power flowing through the busbar, thereby optimizing power quality by adjusting the phase angle of the power. At the same time, it can flexibly adjust the corresponding short-circuit capacity of the system, improve the system's anti-disturbance capability, and precisely control the reactive power balance to avoid voltage fluctuation problems caused by reactive power imbalance.

[0068] As the core onshore device for AC / DC power conversion, the onshore converter station 500 has its input end connected to the third busbar to receive DC power from the sea; its output end is connected to the pre-set fourth busbar. Its core function is to convert the DC power output from the offshore grid-type converter station 300 into AC power that meets the requirements of the onshore power grid through inverted conversion, and then smoothly input the AC power to the fourth busbar to complete the connection and transition of offshore power to the onshore power grid.

[0069] The 600 onshore wind power base serves as a supplementary source of clean onshore electricity. It can be composed of multiple onshore wind turbine generators and supporting power collection equipment. Its output end is directly connected to the substation. Its core function is to capture onshore wind energy and convert it into corresponding onshore wind power AC, providing additional wind power resource support for the system.

[0070] The output of the 700 onshore energy storage base is directly connected to the fourth busbar, which can provide onshore energy storage resources. Through charging and discharging, it can smooth out the output fluctuations of onshore wind power, thermal power and other power sources, and at the same time provide emergency backup power for the system to improve the operational flexibility of the onshore power system. The output of the 800 onshore thermal power base is connected to the fourth busbar, which can generate corresponding onshore thermal power AC through combustion power generation. This thermal power has the characteristic of stable output, which can make up for the intermittent defects of new energy sources such as wind power, provide basic power load support for the system and ensure the stability of the system's power supply.

[0071] In addition, the input end of the booster station 900 is connected to the output end of the onshore wind power base 600 to receive the onshore wind power AC generated therein; the output end is stably connected to the fourth busbar (i.e., the 220KV busbar), and the voltage of the onshore wind power AC can be increased to the target voltage level that matches the fourth busbar through the step-up transformer, ensuring that the onshore wind power AC can be smoothly integrated into the onshore power system.

[0072] Therefore, the embodiments of this application can realize efficient conversion of offshore and onshore power, long-distance transmission and stable grid connection, ensure reactive power and power balance, improve the system's anti-disturbance capability and power quality, and provide stable support for multi-energy complementary power supply.

[0073] Optionally, in one embodiment of this application, the offshore grid-type converter station 300 consists of a grid-type static compensator group and a grid-type unified power flow controller group, and has broadband oscillation control function, impedance regulation function and grid-type attributes.

[0074] In practice, offshore grid-type converter stations consist of two core functional units: grid-type static compensator (SVG) units and grid-type unified power flow controller (UPFC) units. Both units are equipped with advanced grid control strategies, enabling them to not only perform independent regulation functions but also work together to give the converter station three core capabilities: broadband oscillation mitigation, impedance regulation, and grid-type attributes. This provides multiple safeguards for the stable operation of offshore power transmission systems.

[0075] Therefore, the embodiments of this application, through the collaboration of dual-structure grid units, can accurately manage broadband oscillations, flexibly adjust system impedance, enhance the adaptability of converter stations to the power grid, and improve the stability, flexibility, and independent operation capability of offshore power transmission.

[0076] Optionally, in one embodiment of this application, when connected to a low short-circuit ratio, short-circuit capacity and millisecond-level reactive power regulation are achieved by a superconducting phase-modulated power station 400 consisting of a superconducting phase-modulated transformer group and a grid-type SVG group equipped with supercapacitors.

[0077] It should be noted that low short-circuit ratio access scenarios typically imply a small equivalent short-circuit capacity and weak disturbance immunity. In such scenarios, the access of new energy power sources such as offshore wind power is prone to voltage fluctuations and stability degradation. To overcome this technical bottleneck, this application embodiment can employ a superconducting phase-modulation power station 400 composed of a grid-type SVG (Static Var Generator) consisting of a superconducting phase-modulation phase modulator group and a supercapacitor, to perform short-circuit capacity and millisecond-level reactive power regulation operations.

[0078] Among them, the superconducting phase condenser group, with the characteristics of low loss and high power density of superconducting materials, can quickly inject or absorb reactive power into the system, while effectively improving the system's short-circuit capacity and enhancing the system's tolerance to voltage disturbances; the grid-type SVG of supercapacitors has millisecond-level ultra-fast response capability, can accurately track the instantaneous changes of reactive power in the system, quickly compensate for reactive power gaps, and, relying on the grid-type control strategy, can form a good coordination and adaptation relationship with the system, further improving the accuracy and stability of regulation.

[0079] When the two work together, the superconducting phase converter undertakes the core responsibilities of basic reactive power support and short-circuit capacity enhancement, laying the foundation for system stability; the supercapacitor grid-type SVG focuses on the rapid smoothing of instantaneous reactive power fluctuations, forming a dual regulation system of "basic support + instantaneous compensation", ensuring that the system short-circuit capacity is maintained within a reasonable range and reactive power is dynamically balanced in the complex scenario of low short-circuit ratio access.

[0080] Therefore, the embodiments of this application can specifically solve the system stability problem in low short-circuit ratio access scenarios, thereby achieving short-circuit capacity optimization and millisecond-level precise reactive power adjustment, effectively ensuring the smooth access of new energy power and the stable operation of the system.

[0081] Optionally, in one embodiment of this application, a multi-resource damping collaborative control platform is installed on the offshore grid-type converter station 300 to collect and uniformly allocate damping information from the offshore wind power base 100, the offshore wind power base grid-type energy storage power station 200, the onshore wind power base 600, the superconducting phase-tuning power station 400, the onshore energy storage base 700, and the onshore thermal power base 800, so as to maintain the power angle stability of the entire power system and the damping regulation and broadband oscillation control of the entire system.

[0082] In the specific implementation process, considering that in the offshore wind power coupled wind-thermal-storage multi-energy system, each energy unit is distributed in different scenarios at sea and on land, and the damping characteristics are different, independent operation is prone to damping incoordination problems, which threaten the stability of the system power angle. Therefore, the embodiment of this application can add a multi-resource damping collaborative control platform to the offshore grid-type converter station 300 to build a system-wide damping collaborative control system.

[0083] Understandably, this multi-resource damping collaborative control platform is equipped with a high-precision data acquisition module and intelligent scheduling algorithm. During the information collection phase, the multi-resource damping collaborative control platform can establish real-time data interaction with offshore wind power base 100, offshore wind power base grid-type energy storage power station 200, onshore wind power base 600, superconducting phase-tuning power station 400, onshore energy storage base 700, and onshore thermal power base 800 through high-speed communication links. It can accurately collect key information such as damping characteristic parameters, operating condition data (such as wind power output, energy storage SOC, and thermal power load) and real-time damping contribution of each unit, so as to achieve comprehensive perception of the damping status of the entire system.

[0084] During the unified allocation phase, the multi-resource damping collaborative control platform can assess the damping adjustment potential of each unit based on collected full-dimensional damping information and the current operating status of the system (such as power angle deviation and oscillation risk level), and formulate the optimal damping allocation strategy through intelligent algorithms. Subsequently, precise control instructions are issued to each energy unit, such as coordinating the adjustment of charging and discharging power of grid-connected energy storage power stations to supplement damping, controlling superconducting phase-tuning power stations to optimize reactive power output to enhance damping support, and scheduling thermal power units to adjust excitation parameters to optimize damping characteristics. This enables the damping effects of each unit to form a synergistic force, avoiding the problem of mutual cancellation or insufficient damping, thereby accurately maintaining the power angle stability of the entire power system. At the same time, the converters of each energy storage station in offshore wind power grid-connected energy storage power stations and onshore energy storage bases are also equipped with "wind-storage" and "wind-thermal-storage" damping coordination control functions to manage broadband oscillations.

[0085] Therefore, the embodiments of this application can realize the overall planning and coordinated control of damping information of multiple energy units in the whole system, avoid the problem of damping incoordination, and thus accurately ensure the power angle stability of the power system, wide-frequency oscillation control, and improve the overall operational reliability of the multi-energy coupled system.

[0086] Optionally, in one embodiment of this application, all offshore wind power is transmitted via a conventional LCC-HVDC converter, and a VSC-STATCOM is installed at the AC bus of a pre-designed onshore LCC converter station to meet the pre-designated offshore wind power transmission requirements.

[0087] As an feasible approach, for some existing projects or specific planning scenarios, all offshore wind power can be transmitted using the traditional LCC-HVDC (grid-commutated high-voltage direct current transmission) system. Although the traditional LCC-HVDC has the advantages of large transmission capacity and mature technology, it has inherent defects such as reliance on the grid to provide commutation voltage, weak anti-disturbance capability, and easy commutation failure. Especially when offshore wind power output fluctuates or grid operating conditions change, it may not be able to meet the requirements for stable and efficient offshore wind power transmission.

[0088] To address the technical shortcomings of traditional LCC-HVDC converters and ensure the stability and reliability of wind power transmission, this application embodiment can specifically install a VSC-STATCOM (Voltage Source Converter Static Synchronous Compensator) at the AC bus of a pre-designated onshore LCC converter station. This device features fast response, high adjustment accuracy, and a wide operating range. Through flexible charge and discharge control, it can provide reactive power support to the AC bus of the onshore LCC converter station in real time, accurately regulating the bus voltage stability. At the same time, it can enhance the system's equivalent short-circuit capacity, improve the commutation capability of the LCC converter station, effectively mitigate the risk of commutation failure, and also smooth out bus voltage fluctuations caused by wind power fluctuations, ensuring that the AC bus power quality meets requirements.

[0089] It is understood that the embodiments of this application, by adding VSC-STATCOM configuration, can specifically solve the inherent defects of the traditional LCC-HVDC transmission mode, so that the entire power transmission system can adapt to the output characteristics of offshore wind power, so as to stably and efficiently complete the long-distance transmission of offshore wind power and meet the preset offshore wind power transmission requirements (including core indicators such as transmission capacity, power quality, and operational stability).

[0090] Therefore, the embodiments of this application can make up for the defects of traditional LCC-HVDC transmission, thereby providing precise reactive power support and voltage regulation, mitigating commutation failure, ensuring stable and efficient transmission of offshore wind power, and adapting to the characteristics of wind power output fluctuations.

[0091] Optionally, in one embodiment of this application, a preset digital twin full-system impedance transient modeling strategy is used to perform small-signal impedance modeling of components in the frequency domain, impedance aggregation and equivalence at the station / cluster level, full-system interconnection and model verification, calculate the impedance ratio curve of the entire system, and apply the generalized Nyquist criterion and the Nyquist criterion to predict broadband oscillation risk.

[0092] It should be noted that, in order to accurately predict potential broadband oscillation risks during the operation of offshore wind power coupled with wind, thermal, and energy storage systems and ensure stable system operation, this application embodiment can adopt a pre-defined digital twin full-system impedance transient modeling strategy. This strategy relies on the virtual-real mapping characteristics of digital twin technology to construct a digital mirror image that completely corresponds to the physical power system. By conducting refined impedance modeling and analysis at the frequency domain level, it achieves early perception and accurate prediction of broadband oscillation risks.

[0093] Specifically, the embodiments of this application firstly perform small-signal impedance modeling of components in the frequency domain. For core components such as wind turbine generators, energy storage converters, converter stations, and transformers within the system, frequency domain impedance models are established based on small-signal analysis theory to accurately characterize the impedance characteristics of each component under different frequency signal excitations, laying the foundation for subsequent system-wide analysis. Secondly, the embodiments of this application can perform site / cluster-level impedance aggregation and equivalence operations to aggregate and calculate the impedance models of multiple components within the same site or functional cluster, obtaining an equivalent impedance model. This simplifies the complexity of system analysis while ensuring the model accurately represents the overall characteristics of the site. Thirdly, the embodiments of this application can complete the entire system... The system interconnection and model verification are performed by constructing a full-system interconnection impedance model based on the equivalent impedance models of each station / cluster according to the electrical connection relationships of the physical system. Then, the accuracy and effectiveness of the model are verified by comparing the simulation data of the model with the measured data of the physical system. After that, the embodiments of this application can calculate the impedance ratio curve of the entire system and obtain the core index curve reflecting the system stability by analyzing the impedance matching relationship between the source side and the grid side of the system. Finally, the embodiments of this application can apply the generalized Nyquist criterion and the Nyquist criterion to perform quantitative analysis on the impedance ratio curve of the entire system, and determine whether there is a risk of broadband oscillation under different operating conditions, as well as the frequency range and amplitude level of possible oscillations.

[0094] Therefore, the embodiments of this application can achieve accurate characterization of the impedance characteristics of the entire system and early prediction of broadband oscillation risks, thereby providing a scientific basis for oscillation prevention and control, and improving the safety and stability of multi-energy coupled system operation.

[0095] Optionally, in one embodiment of this application, an intelligent hybrid grid control system is constructed through offshore wind power base 100 and onshore wind power base 600, and the intelligent hybrid grid control system is installed in onshore converter station 500 to dynamically adjust the power limits of offshore and onshore wind power, track and adjust power flow distribution in a timely manner, and maintain the power balance of the power system.

[0096] In practical implementation, considering the inherent characteristics of intermittent and fluctuating power output of both offshore and onshore wind power, their independent operation can easily lead to excessive fluctuations in the total wind power output of the system, thereby causing problems such as disordered power flow distribution and power imbalance, affecting the stable operation of the power system. Therefore, the embodiments of this application can collaboratively construct an intelligent hybrid network control system through offshore wind power base 100 and onshore wind power base 600 to achieve unified control of the two types of wind power resources.

[0097] Specifically, the aforementioned intelligent hybrid network control system integrates a real-time data acquisition module, an operating condition perception module, and an intelligent decision-making and scheduling module, enabling real-time linkage between the operating status of offshore and onshore wind power based on a high-speed communication network. Considering that the onshore converter station 500 is a key hub for offshore power access to the onshore system and can be directly linked to the comprehensive power operating conditions at the fourth busbar, this embodiment of the application can install the intelligent hybrid network control system at the onshore converter station 500, enabling it to acquire the converted power data from offshore wind power, the boosted power data from onshore wind power, and the real-time load data of the system nearby.

[0098] During system operation, embodiments of this application can synchronously acquire real-time power output data and equipment operating status of offshore wind power base 100 and onshore wind power base 600, as well as core information such as load changes and power flow distribution of the power system through a real-time data acquisition module. The operating condition perception module accurately judges the current system operating condition and power balance status based on this data. The intelligent decision-making and scheduling module dynamically adjusts the power limits of offshore and onshore wind power according to the operating condition analysis results. Specifically, when the total wind power output is excessive, the power limits on both sides are reasonably lowered to avoid power flow congestion; when the load is at its peak or the wind power output is insufficient, the power limits are appropriately raised to fully utilize wind power resources. Simultaneously, the system can track changes in power flow distribution in a timely manner and guide the rational flow of power flow by optimizing the output ratio of wind power on both sides, thereby effectively maintaining the power balance of the entire power system.

[0099] Therefore, the embodiments of this application can realize the coordinated control of offshore and onshore wind power, dynamically optimize power limits and power flow distribution, smooth wind power output fluctuations, thereby ensuring power balance of the power system and improving wind power resource utilization and system operation stability.

[0100] Optionally, in one embodiment of this application, a preset digital twin full-system impedance transient modeling and simulation device is installed on the offshore grid-type converter station 300 to calculate the impedance ratio curve of the entire system. The generalized Nyquist criterion and the Nyquist criterion are applied to predict broadband oscillation risk and determine whether the target AC current has oscillation risk. If the target AC current has oscillation risk, preset broadband oscillation prevention operations are performed. Damping coordination control is applied to the entire system, including the offshore wind power base 100, the offshore wind power base grid-type energy storage power station 200, and the onshore wind power... The damping coordination capabilities of the 600-meter base, the 400-meter superconducting phase-tuning power station, the 700-meter onshore energy storage base, and the 800-meter onshore thermal power base at different frequencies were modeled in a unified manner to obtain the optimal control combination and develop a damping adaptive algorithm. "Wind-storage" damping coordination control function and "wind-thermal-storage" damping coordination control function were added to the energy storage converters of the offshore grid-type energy storage power station and the onshore energy storage base. By adding a wideband oscillation damping "wind-storage" damping coordination controller and a "wind-thermal-storage" damping coordination controller, source-grid-storage adaptive coordination control was achieved.

[0101] It should be noted that, in order to achieve "accurate prediction and timely prevention" of broadband oscillation risk in offshore wind power coupled with wind, thermal and energy storage multi-energy systems, and at the same time ensure the coordinated matching of damping characteristics of the entire system, the embodiments of this application can construct a closed-loop control system through dual technical means. On the one hand, the embodiments of this application can install a preset digital twin full-system impedance transient modeling and simulation device on the offshore grid-type converter station 300. On the other hand, the damping coordinated control of the entire system can be carried out, and finally the source-grid-storage adaptive coordinated operation can be achieved.

[0102] In terms of broadband oscillation risk prediction and prevention, the digital twin full-system impedance transient modeling and simulation device added in this embodiment relies on the virtual-real mapping and real-time interaction characteristics of digital twins to accurately replicate the topology, component parameters, and operating conditions of the physical power system. Specifically, the embodiment of this application can calculate the impedance ratio curve of the entire system based on the replicated system model. This curve can intuitively reflect the impedance matching status between the source side and the grid side of the system. Subsequently, the generalized Nyquist criterion and the Nyquist criterion are applied to quantitatively analyze the impedance ratio curve. On the one hand, it predicts the potential broadband oscillation risk of the entire system and clarifies the potential frequency range and amplitude of the oscillation. On the other hand, it focuses on the target AC power (i.e., the AC power output or transmitted by the key nodes of the system) to accurately determine whether there is an oscillation risk. When it is determined that there is an oscillation risk in the target AC power, the digital twin full-system impedance transient modeling and simulation device immediately triggers the preset broadband oscillation prevention operation, providing a trigger signal and basis for subsequent precise control.

[0103] At the level of system-wide damping coordination control, this application embodiment can address the problem of large differences in damping characteristics among multiple energy units and the tendency for damping incoordination to occur during independent operation by carrying out systematic coordinated regulation. Firstly, this application embodiment can incorporate offshore wind power base 100, offshore wind power base grid-type energy storage power station 200, onshore wind power base 600, superconducting phase-tuning power station 400, onshore energy storage base 700, and onshore thermal power base 800 into a unified analysis framework. It can perform specialized modeling of the damping coordination capabilities of each unit at different frequencies (covering a wide frequency range including subsynchronous, supersynchronous, and intermediate frequencies), accurately characterizing the damping adjustment potential and response characteristics of each unit. Based on the modeling results, this application embodiment can obtain the optimal control combination for damping adjustment of each unit through intelligent algorithm optimization, and develop a damping adaptive algorithm adapted to all operating conditions to ensure that the regulation strategy can dynamically adapt to the system's operating conditions. Finally, "wind-storage" damping coordination control function and "wind-thermal-storage" damping coordination control function are added to the energy storage converters of offshore grid-type energy storage power stations and onshore energy storage bases. By adding wideband oscillation damping "wind-storage" damping coordination controllers and "wind-thermal-storage" damping coordination controllers, source-grid-storage adaptive coordination control is realized. The controller relies on the optimal control combination and damping adaptive algorithm to issue precise control commands to each energy unit in real time, realize source-grid-storage adaptive coordination control of multiple entities such as wind, thermal, storage, and grid, ensure the matching of damping characteristics of the whole system, and fundamentally address wideband oscillation.

[0104] Therefore, the embodiments of this application can achieve accurate prediction and timely prevention of broadband oscillation risks, and through the coordinated control of damping of the whole system, effectively ensure the damping matching of multiple energy units and improve the system's stable operation capability.

[0105] The offshore wind power coupled wind-thermal-storage base oscillation intelligent monitoring and control system proposed in this application includes an offshore wind power base 100, the output of which is connected to a preset first busbar to provide offshore wind power resources and generate corresponding offshore wind power AC; and an offshore wind power base grid-type energy storage power station 200, which is composed of multiple multi-element energy storage units. The input of the offshore wind power base grid-type energy storage power station 200 is connected to the first busbar, and the output of the offshore wind power base grid-type energy storage power station 200 is connected to a preset second busbar for... The system smooths the AC output of offshore wind power bases and regulates the active and reactive power outputs to balance system power. It also performs pre-set grid-connection operations on the offshore wind power AC, giving it grid-connection characteristics and black-start performance. An offshore grid-connected converter station 300, with its input connected to a second busbar and its output connected to a pre-set third busbar, generates DC power corresponding to the offshore wind power AC and raises the DC power to the target voltage level, while also possessing grid-connection capabilities. A superconducting phase-modulated power station 400... The output of power station 400 is connected to the third busbar, used for pre-programmed phase regulation of offshore wind power AC, and adjustment of corresponding short-circuit capacity and reactive power; onshore converter station 500, with its input connected to the third busbar and its output connected to a pre-programmed fourth busbar, is used to convert the DC output of offshore grid-type converter station 300 into corresponding AC, and input the AC to the fourth busbar; onshore wind power base 600, with its output connected to a step-up substation, is used to provide onshore wind power resources to generate corresponding onshore wind power AC. The system includes: an onshore energy storage base 700, whose output is connected to the fourth busbar to provide onshore energy storage resources; an onshore thermal power base 800, whose output is connected to the fourth busbar to provide onshore thermal power resources to generate corresponding onshore thermal power AC; and a booster station 900, whose input is connected to the onshore wind power base 600 and whose output is connected to the fourth busbar to increase the voltage of the onshore wind power AC to the target voltage level and input the increased onshore wind power AC to the fourth busbar.This application, based on offshore wind power bases, offshore wind power base grid-connected energy storage power stations, offshore grid-connected converter stations, booster stations, onshore converter stations, onshore wind power bases, onshore thermal power bases, and onshore energy storage bases, conducts research on oscillation monitoring and mitigation under low short-circuit ratio access and islanded grid operation. It achieves voltage, frequency, short-circuit capacity adjustment and inertial support, power angle stability, intelligent hybrid networking, avoidance of high and low voltage ride-through, and optimized regulation of grid support. The "source-grid-storage damping synergy" and "adaptive damping optimization" control, as well as active damping control of energy storage, achieve the goal of intelligent oscillation mitigation.

[0106] Secondly, with reference to the accompanying drawings, the intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations proposed according to the embodiments of this application is described.

[0107] Figure 3 This is a schematic diagram of the logical architecture of an intelligent monitoring and control method for offshore wind power coupled with wind-fire storage base oscillations. Figure 4 A flowchart illustrating an intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations, provided as an embodiment of this application.

[0108] like Figure 3 and Figure 4 As shown, the intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations includes the following steps: In step S401, a preset digital twin full-system impedance transient modeling and simulation device is installed on the preset offshore grid-type converter station to calculate the impedance ratio curve of the whole system. The generalized Nyquist criterion and the Nyquist criterion are applied to predict the broadband oscillation risk and determine whether the target AC power has an oscillation risk. In the case that the target AC power has an oscillation risk, a preset broadband oscillation prevention operation is performed.

[0109] In step S402, the damping coordination capabilities of various energy structures are uniformly modeled at different frequencies to obtain the optimal control combination and develop a damping adaptive algorithm. A multi-resource damping collaborative control platform is installed at the offshore grid-type converter station and, with the consent of the power grid dispatch, the adjustment parameters of nodes in the power grid that meet the preset importance requirements are adjusted to perform damping adjustment on wind power bases, thermal power bases, wind and solar power bases, and grid-type energy storage power stations to achieve the preset intelligent oscillation management requirements.

[0110] In step S403, the wind and solar grid-type energy storage power station and the onshore energy storage base can respectively adjust the EMS controller of the energy storage in their respective stations to add active damping controllers to inject current in the forward or reverse direction, so as to provide active damping and achieve the preset oscillation intelligent management requirements.

[0111] In step S404, the energy storage converters of offshore grid-type energy storage power stations and onshore energy storage bases are equipped with "wind-storage" damping coordinated control functions and "wind-thermal-storage" damping coordinated control functions. By adding wideband oscillation damping "wind-storage" and "wind-thermal-storage" damping coordinated controllers, source-grid-storage adaptive coordinated control is achieved. This controller, relying on optimal control combinations and damping adaptive algorithms, issues precise control commands to each energy unit in real time, realizing source-grid-storage adaptive coordinated control of multiple entities including wind, thermal, storage, and grid. To ensure the matching of system damping characteristics and address broadband oscillations at their root; simultaneously, each converter in offshore wind power bases, offshore grid-type energy storage power stations, onshore energy storage bases, and onshore wind power bases is equipped with damping adaptive adjustment control functions, using the preset adaptive algorithm and control strategy of the broadband oscillation damping adaptive PID controller to dynamically adjust virtual damping; onshore thermal power bases are equipped with reinforcement learning-based adaptive damping controllers, enabling the PSS / SEDC parameters of the onshore thermal power base to be dynamically optimized according to system operating conditions to achieve the preset intelligent oscillation management requirements.

[0112] In step S405, the offshore grid-type converter station uses a grid-type static compensator group and a grid-type unified power flow controller group to adjust impedance to achieve the preset intelligent oscillation control requirements.

[0113] It should be noted that the explanation of the above-mentioned embodiment of the intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations also applies to the intelligent monitoring and control method for offshore wind power coupled with wind-fire storage base oscillations in this embodiment, and will not be repeated here.

[0114] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0115] When the processor 502 executes the program, it implements the intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations provided in the above embodiments.

[0116] Furthermore, electronic devices also include: Communication interface 503 is used for communication between memory 501 and processor 502.

[0117] The memory 501 is used to store computer programs that can run on the processor 502.

[0118] Memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0119] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0120] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0121] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0122] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations.

[0123] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0124] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0125] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0126] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0127] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0128] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0129] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0130] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A smart monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations, characterized in that, include: The offshore wind power base has its output end connected to a preset first busbar to provide offshore wind power resources and generate corresponding offshore wind power AC power. A grid-connected energy storage power station for offshore wind power bases, comprising multiple multi-element energy storage units, wherein the input end of the grid-connected energy storage power station is connected to a first busbar and the output end is connected to a pre-set second busbar, used to smooth the AC power output corresponding to the offshore wind power base and regulate the output active and reactive power of the offshore wind power base to balance the system power, and to perform a pre-set grid-connection operation on the offshore wind power AC power, so that the offshore wind power AC power has grid-connection characteristics and black-start performance; The offshore grid-type converter station has its input end connected to the second busbar and its output end connected to a preset third busbar. It is used to generate DC power corresponding to the offshore wind power AC power and raise the DC power to the target voltage level, and has grid-connection capabilities. A superconducting phase-modulating power station, wherein the output end of the superconducting phase-modulating power station is connected to the third busbar, and is used to perform preset phase-modulating operation on the offshore wind power AC power, and adjust the corresponding short-circuit capacity and reactive power. The onshore converter station has its input end connected to the third busbar and its output end connected to a preset fourth busbar. It is used to convert the DC power output by the offshore grid-type converter station into corresponding AC power and input the AC power to the fourth busbar. An onshore wind power base, wherein the output end of the onshore wind power base is connected to a preset booster station to provide onshore wind power resources and generate corresponding onshore wind power AC power; An onshore energy storage base, the output end of which is connected to the fourth busbar, is used to provide onshore energy storage resources; An onshore thermal power base, the output end of which is connected to the fourth busbar, is used to provide onshore thermal power resources to generate corresponding onshore thermal power AC power; The step-up substation has its input end connected to the onshore wind power base and its output end connected to the fourth busbar. It is used to increase the voltage of the onshore wind power AC to the target voltage level and input the onshore wind power AC to the fourth busbar.

2. The intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to claim 1, characterized in that, The offshore wind power base grid-type energy storage power station includes: Supercapacitor banks and superconducting magnetic energy storage banks are used to provide inertial support for instantaneous energy storage and to address commutation failures and broadband oscillations in offshore wind power's flexible direct transmission. The lithium iron phosphate battery pack is used for energy storage operations that meet the first preset duration requirement. Vanadium redox flow battery pack, used for energy storage operations that meet the second preset duration requirement; Multiple grid-type energy storage converters, the input terminals of which are connected to the output terminals of multiple multi-element energy storage units, are used to provide target AC power with a preset frequency and grid-type attributes using a preset grid control strategy. Multiple grid-type energy storage controllers are used to coordinate and control an energy storage module group consisting of multiple preset energy storage modules connected in series to perform primary, secondary, and tertiary frequency regulation, transient voltage construction support, steady-state voltage regulation, black start backup, high and low voltage ride-through management, and active and reactive power regulation operations. The multiple energy storage modules are composed of multiple multi-element energy storage units and multiple grid-type energy storage converters.

3. The intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to claim 1, characterized in that, The offshore grid-type converter station consists of a grid-type static compensator group and a grid-type unified power flow controller group, and has broadband oscillation control function, impedance regulation function and grid-type attributes.

4. The intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to claim 2, characterized in that, When connected to a low short-circuit ratio, short-circuit capacity and millisecond-level reactive power regulation are achieved through a superconducting phase-modulated power station consisting of a superconducting phase-modulated transformer group and a grid-type SVG group equipped with supercapacitors.

5. The intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to claim 1, characterized in that, By installing a multi-resource damping collaborative control platform on the offshore grid-type converter station, the damping information of the offshore wind power base, the offshore wind power base grid-type energy storage power station, the onshore wind power base, the superconducting phase-tuning power station, the onshore energy storage base, and the onshore thermal power base can be collected and uniformly allocated to maintain the power angle stability of the entire power system and the damping regulation and broadband oscillation control of the entire system.

6. The intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to claim 1, characterized in that, All offshore wind power is transmitted via traditional LCC-HVDC. A VSC-STATCOM is installed at the AC bus of the pre-designed onshore LCC converter station to meet the pre-designated offshore wind power transmission requirements.

7. The intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to claim 1, characterized in that, By employing a pre-defined digital twin-based system impedance transient modeling strategy, small-signal impedance modeling of components is performed in the frequency domain, along with impedance aggregation and equivalence at the station / cluster level, system-wide interconnection and model verification. The impedance ratio curve of the entire system is calculated, and the generalized Nyquist criterion and the Nyquist criterion are applied to predict broadband oscillation risk.

8. The intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to claim 1, characterized in that, A smart hybrid grid control system is constructed by integrating the offshore and onshore wind power bases, and this system is installed at the onshore converter station to dynamically adjust the power limits of offshore and onshore wind power, track and adjust power flow distribution in a timely manner, and maintain the power balance of the power system.

9. The intelligent monitoring and control system for offshore wind power coupled with wind-fire storage base oscillations according to claim 1, characterized in that, By installing a pre-set digital twin full-system impedance transient modeling and simulation device on the offshore grid-type converter station, the impedance ratio curve of the entire system is calculated, and the generalized Nyquist criterion and Nyquist criterion are applied to predict the broadband oscillation risk and determine whether the target AC current has an oscillation risk, so as to perform a pre-set broadband oscillation prevention operation when the target AC current has the oscillation risk. For the damping coordination control of the entire system, the damping coordination capabilities of the offshore wind power base, the offshore wind power base grid-type energy storage power station, the onshore wind power base, the superconducting phase-tuning power station, the onshore energy storage base, and the onshore thermal power base at different frequencies are uniformly modeled to obtain the optimal control combination and develop a damping adaptive algorithm. "Wind-storage" damping coordination control function and "wind-thermal-storage" damping coordination control function are added to the energy storage converters of the offshore grid-type energy storage power station and the onshore energy storage base. By adding a wideband oscillation damping "wind-storage" damping coordination controller and a "wind-thermal-storage" damping coordination controller, source-grid-storage adaptive coordination control is realized.

10. A method for intelligent monitoring and control of oscillations at offshore wind power coupled with wind and fire storage sites, characterized in that, Includes the following steps: By installing a pre-set digital twin full-system impedance transient modeling and simulation device on a pre-set offshore grid-type converter station, the impedance ratio curve of the whole system is calculated, and the generalized Nyquist criterion and Nyquist criterion are applied to predict the broadband oscillation risk and determine whether the target AC current has an oscillation risk. In the event that the target AC current has the oscillation risk, a pre-set broadband oscillation prevention operation is performed. A unified model is used to model the damping coordination capabilities of various energy structures at different frequencies, obtain the optimal control combination and develop a damping adaptive algorithm. A multi-resource damping collaborative control platform is installed at an offshore grid-type converter station and, with the consent of the power grid dispatch, adjusts the adjustment parameters of nodes in the power grid that meet the preset importance requirements. Damping adjustment is then performed on the wind power base, thermal power base, wind and solar power base and grid-type energy storage power station to achieve the preset intelligent oscillation management requirements. The wind and solar base grid-type energy storage power station and the onshore energy storage base respectively adjust the EMS controller of their respective energy storage sites to add active damping controllers to provide positive or reverse current injection and provide active damping in order to achieve the preset oscillation intelligent management requirements. The offshore grid-type energy storage power station is equipped with a "wind-storage" damping coordination control function for its energy storage converters, coordinating the damping of the offshore wind power base and the offshore grid-type energy storage power station. Each converter in the offshore wind power base and the offshore grid-type energy storage power station is equipped with an adaptive damping adjustment control function, utilizing a broadband oscillation damping adaptive PID controller with a preset adaptive algorithm and control strategy to dynamically adjust the virtual damping to achieve the preset intelligent oscillation management requirements. The onshore energy storage base is equipped with a "wind-thermal-storage" damping coordination control function to coordinate... Damping of onshore wind power bases, onshore thermal power bases, and onshore energy storage bases; each converter in the onshore energy storage base and the onshore wind power base is equipped with damping adaptive adjustment control function, using the preset adaptive algorithm and control strategy of the wideband oscillation damping adaptive PID controller to dynamically adjust the virtual damping to achieve the preset intelligent oscillation management requirements; the onshore thermal power base is equipped with an adaptive damping controller based on reinforcement learning, so that the PSS / SEDC parameters of the onshore thermal power base can be dynamically optimized according to the system operating conditions to achieve the preset intelligent oscillation management requirements; The offshore grid-type converter station achieves the preset intelligent oscillation management requirements through impedance adjustment using a grid-type static compensator group and a grid-type unified power flow controller group.

11. An electronic device, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations as described in claim 10.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the intelligent monitoring and control method for offshore wind power coupled with wind and fire storage base oscillations as described in claim 10.

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