A new energy power station active support control system and method

Abstract

The application provides a new energy power station active support control system and method, the system comprises: a plurality of different time scale progressive nested control level architecture, the control level architecture comprises a station level, a coordination level and a control level, the station level, the coordination level and the control level form a real-time closed-loop information flow through a standardized communication protocol; the station level receives power grid dispatching instructions and multi-cluster state information fed back by the coordination level, generates coordination management instructions in combination with power generation prediction results; the coordination level integrates converter operation data uploaded by the control level, generates cluster control instructions; the control level collects converter data in real time and executes regulation and control instructions. The application aims to realize closed-loop control of power generation prediction, cluster coordination and equipment rapid regulation, and can effectively improve power grid stability and new energy consumption capacity.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new energy grid-connected power generation technology, and in particular to a new energy power station active support control system and method. BACKGROUND

[0002] The power system is accelerating the transformation to a new type of power system dominated by new energy. Renewable energy such as wind power and photovoltaic power is gradually becoming the main power source. However, new energy generation has significant intermittency, volatility and randomness. Large-scale grid connection of new energy leads to intensified grid frequency fluctuations, and traditional frequency modulation methods are difficult to effectively respond, seriously affecting power balance and posing a serious challenge to grid stability.

[0003] At the same time, the operation and control of new energy stations also face many difficulties. With the rapid expansion of new energy installations, the number of station levels increases, but the communication standards are not unified, and coordinated control between devices is difficult, with slow power response. For example, in areas rich in new energy, multiple stations are often connected to the same grid point, but due to the lack of unified coordination of automatic voltage control (AVC) substation adjustment strategies at each station, voltage adjustment is chaotic, affecting power generation efficiency and potentially threatening the safe operation of the grid. In addition, China is vigorously promoting the construction of new energy bases in deserts, gobi and desert areas, but the grid structure in these areas is weak, with insufficient synchronous power support, and the transient stability of new energy grid-connected systems is a major concern. When the grid experiences a fault disturbance, new energy grid-connected converters are prone to synchronization instability and transient overcurrent problems, making it difficult to provide effective fault support, further exacerbating grid operation risks.

[0004] Currently, the operation and control of new energy power stations still mainly rely on traditional modes, which cannot meet the needs of high-proportion new energy grid connection. There is an urgent need to shift towards communication standardization, rapid response and intelligent control to reduce the operational risks of the power system. In this context, the new energy power station active support control architecture has emerged to address the technical challenges posed by large-scale new energy integration and improve the stability of the grid and the ability to accommodate new energy. However, existing new energy grid-connected control systems still have the following technical bottlenecks:

[0005] 1. Lack of coordination between control levels: Existing systems mostly use simple hierarchical or centralized control modes, and there is a lack of close coordination and precise time scale coordination between levels, resulting in relatively independent control functions that are difficult to effectively link in a short period of time, making it difficult to respond to rapid power fluctuations in new energy generation, causing delays in grid frequency and voltage regulation, and affecting stability.

[0006] 2. Single function and lack of dynamic optimization: Traditional control schemes have dispersed functions and lack systematic integration, and there is a lack of dynamic adjustment mechanism in new energy generation prediction and photovoltaic storage coordinated allocation, making it difficult to flexibly optimize resource allocation according to real-time operating conditions, resulting in low new energy consumption efficiency.

[0007] 3. Weak cluster control capability: the existing technology does not have in-depth research on the control characteristics of the converter cluster, and the reactive power / active power collaborative distribution capability among multiple clusters is insufficient. At present, the control of the converter is mainly based on individual or small-scale cluster, and it is difficult to exert the overall advantage of the large-scale cluster, and it cannot quickly respond and provide effective support in the event of power grid fault or power surge.

[0008] In summary, it is urgent to break through the limitations of the existing control technology and build a more intelligent, collaborative and efficient active support control system of the new energy power station to ensure the safe and stable operation of the new power system. SUMMARY

[0009] The technical problem to be solved by the present application is that in view of the technical problems existing in the prior art, the present application provides a new energy power station active support control system and method, which aims to realize closed-loop control of power generation prediction, cluster coordination and equipment rapid regulation, and can effectively improve the stability of the power grid and the new energy consumption capacity.

[0010] To solve the above technical problems, the technical solution provided by the present application is:

[0011] A new energy power station active support control system, comprising a plurality of control level architectures of different time scales in progressive nesting, the control level architectures comprising a station level, a coordination level and a control level, the station level, the coordination level and the control level forming a real-time closed-loop information flow through a standardized communication protocol;

[0012] The station level is configured to receive power grid dispatching instructions and multi-cluster state information fed back by the coordination level, generate station level coordination management instructions in combination with power generation prediction results generated by a power generation prediction module of the station level, and issue the station level coordination management instructions to the coordination level.

[0013] The coordination level is configured to receive the station level coordination management instructions and real-time upload of a plurality of converter operation data from the control level, integrate the plurality of converter operation data into multi-cluster state information and upload the multi-cluster state information to the station level, generate converter cluster control instructions according to the station level coordination management instructions and the plurality of converter operation data, and issue the converter cluster control instructions to the control level.

[0014] The control level is configured to real-time collect operation data of a plurality of converter devices and upload the operation data to the coordination level, receive the converter cluster control instructions issued by the coordination level, and regulate and control the converter devices according to the converter cluster control instructions.

[0015] Optionally, the station level comprises a frequency regulation module, a voltage regulation module, an inter-station optical storage dynamic allocation module and a new energy power generation prediction module.

[0016] The frequency regulation module is configured to, according to real-time changes of the grid frequency, coordinate active power outputs of the converter clusters in combination with the power generation prediction result generated by the new energy power generation prediction module, and realize accurate regulation of the grid frequency.

[0017] The voltage regulation module is configured to monitor grid-connected point voltage in real time, and adjust reactive power outputs of the converter clusters and the inter-site optical storage equipment.

[0018] The inter-site optical storage dynamic deployment module is configured to dynamically adjust power distribution of the optical storage equipment according to illumination, energy storage states of each site, and grid load demand.

[0019] Optionally, the coordination level comprises a frequency response control module, a transient reactive voltage control module, a multi-cluster active / reactive source collaborative distribution module, and a network construction type / network following type dynamic deployment module.

[0020] The frequency response control module is configured to monitor real-time changes of the grid frequency, and when detecting that a grid frequency deviation exceeds a set threshold, adjust active power outputs of the converter clusters, and respond to grid frequency regulation requirements by changing power outputs of the power generation equipment.

[0021] The transient reactive voltage control module is configured to dynamically adjust reactive power outputs of the converter clusters when the grid fails or voltage fluctuates.

[0022] The multi-cluster active / reactive source collaborative distribution module is configured to optimize distribution of active power and reactive power according to real-time operating states of each converter cluster and grid demand, so as to realize collaborative operation between the multi-clusters.

[0023] The network construction type / network following type dynamic deployment module is configured to dynamically adjust working modes of the converter clusters according to transient and steady-state operating conditions of the grid.

[0024] Optionally, the coordination level establishes a mathematical model of the converter clusters by analyzing a topology structure, circuit parameters and a control strategy of the converter, dynamically adjusts control parameters of the converter clusters by an optimization algorithm based on the mathematical model and real-time grid demand, generates converter cluster control instructions, realizes collaborative distribution of active power and reactive power between the multi-converter clusters, and enables the multi-clusters to efficiently and collaboratively operate under different operating conditions.

[0025] Optionally, the control level comprises a network following type / network construction type control module, a harmonic suppression module, a grid adaptability control module, a wideband oscillation suppression module and a dynamic virtual impedance module.

[0026] The grid-following / grid-forming control module is used for switching the working mode of the converter according to the grid operation state and the generating equipment characteristics, including adopting the grid-following mode to realize fast tracking of the grid frequency and phase when the grid is normally operated, and switching to the grid-forming mode when the grid is faulted or operated in island mode;

[0027] The harmonic suppression module is used for monitoring the harmonic components in the output current of the converter in real time, and generating compensation current to offset the harmonic current according to a harmonic compensation algorithm;

[0028] The grid adaptability control module is used for automatically adjusting the control parameters of the converter according to the grid parameter change, so that the converter is stably operated under different grid conditions;

[0029] The wideband oscillation suppression module is used for realizing real-time monitoring and suppression of oscillation signals in a wideband range;

[0030] The dynamic virtual impedance module simulates virtual impedance by controlling the output characteristics of the converter, so as to realize adjustment of the system power factor and voltage stability.

[0031] Optionally, the control level further comprises:

[0032] The low voltage ride-through module is used for maintaining the grid-connected operation of the converter and providing reactive power support when the grid voltage drops;

[0033] The high voltage ride-through module is used for limiting the overvoltage output of the converter when the grid voltage surges.

[0034] Optionally, in the control level architecture of multiple different time scales in progression and nesting, the time scale of the site level is 100 ms, the time scale of the coordination level is 10 ms, and the time scale of the control level is 100 us.

[0035] Optionally, the system further comprises a data acquisition unit arranged at each level, which is used for acquiring the operation parameters, grid parameters and environmental parameters of the converter device in real time, and uploading the preprocessed data to the corresponding control level; the operation parameters include voltage, current, power and temperature, the grid parameters include frequency, voltage and phase, and the environmental parameters include illumination intensity or wind speed.

[0036] The application further provides a new energy power station active support control system, comprising a double-layer control architecture, the double-layer control architecture comprising a basic control layer and a comprehensive coordination layer, and the basic control layer and the comprehensive coordination layer forming a real-time closed-loop information flow through a standardized communication protocol.

[0037] The basic control layer is used for collecting operation data of the plurality of converter devices in real time and uploading to the comprehensive coordination layer, receiving the control instruction issued by the comprehensive coordination layer, and performing basic adjustment of power, voltage and frequency of the single converter according to the control instruction, so as to realize the grid-connected type control and harmonic suppression function.

[0038] The comprehensive coordination layer is used for receiving the power grid dispatching instruction and the converter operation data uploaded by the basic control layer, performing overall power distribution, voltage frequency coordination control and new energy power generation prediction according to the power grid dispatching instruction and the converter operation data, generating the control instruction and issuing to the basic control layer.

[0039] The application also provides an active support control method of the new energy power station, which is realized by using the active support control system of the new energy power station, and comprises the following steps:

[0040] Step S1: initializing parameters of each level of the system and establishing communication connection between each level.

[0041] Step S2: collecting operation parameters of the converter device, power grid parameters and environment parameters in real time through the data acquisition unit of the system.

[0042] Step S3: performing hierarchical control through the multi-level control architecture of the system.

[0043] Step S4: dynamically optimizing the control parameters according to the operation data fed back after the instruction is executed.

[0044] Compared with the prior art, the application has the beneficial effects that:

[0045] 1. The application realizes seamless connection from macroscopic scheduling to microscopic control by constructing a multi-level control architecture with time scale progressive nesting and forming a real-time closed-loop information flow relying on a standardized communication protocol, solves the problems of hierarchical response lag and poor coordination in the traditional single or simple hierarchical control mode, greatly improves the overall control precision of the system, realizes efficient transmission of data and accurate interaction of instructions of each level through the standardized communication protocol, avoids information islands, reduces manual intervention, improves the reliability and maintainability of the system, reduces the long-term operation and maintenance cost, and lays a foundation for the large-scale application of new energy power stations.

[0046] 2. The application realizes three-level linkage of microsecond-level device regulation and control of the control level, millisecond-level frequency and reactive voltage control of the coordination level and second-level overall adjustment of the field station, combines the converter cluster collaborative distribution strategy, so that the power station can quickly respond when the power grid fails or power fluctuates, forms an active support force, and significantly enhances the reliability of the power station in the power system and the stability of the power grid in response to fluctuations.

[0047] 3. This invention further relies on the high-precision power generation prediction module and dynamic allocation mechanism at the site level, combined with the real-time response capabilities of the coordination and control levels, to achieve dynamic optimization of "prediction-regulation-feedback". It improves the level of new energy consumption through flexible allocation of photovoltaic and energy storage resources between sites, and reduces redundant control and energy loss by functional layer integration, effectively improving the overall operating efficiency of the system. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of the active support control architecture for new energy power generation in an embodiment of the present invention. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0050] like Figure 1 As shown, this embodiment provides an active support control system for a new energy power plant, including multiple nested control hierarchy architectures with different time scales. The control hierarchy architecture includes a plant level, a coordination level, and a control level. The plant level, coordination level, and control level form a real-time closed-loop information flow through a standardized communication protocol.

[0051] At the station level, it receives grid dispatch instructions and multi-cluster status information fed back from the coordination level. It combines the power generation forecast results generated by the station-level new energy power generation forecast module to generate station-level coordination management instructions, and then sends the station-level coordination management instructions to the coordination level.

[0052] The coordination level is used to receive coordination and management instructions from the site level and real-time uploads of multiple converter operating data from the control level. It integrates the multiple converter operating data into multi-cluster status information and uploads it to the site level. Based on the site-level coordination and management instructions and the multiple converter operating data, it generates converter cluster control instructions and sends the converter cluster control instructions to the control level.

[0053] The control level is used to collect operating data from multiple converter devices in real time and upload it to the coordination level. It also receives converter cluster control commands issued by the coordination level and adjusts the converter devices according to the converter cluster control commands.

[0054] In this embodiment, in the control hierarchy architecture with multiple nested control levels of different time scales, the time scale of the station level is 100ms, the time scale of the coordination level is 10ms, and the time scale of the control level is 100us.

[0055] The embodiment constructs a multi-level control system covering the control level, the coordination level and the station level, realizes hierarchical cooperation through precise division of differentiated time scales, and achieves fine management and control goals of the system. Compared with traditional single control or simple hierarchical mode, the system takes progressive functional cooperation as the core, from the characteristics regulation of bottom equipment, to the coordination mechanism of middle layer, to the overall resource allocation of high layer, forms a whole-chain management and control closed loop, and fully builds the foundation for stable operation of the system. The core advantage of the multi-level cooperative control architecture is the extremely fast response capability to new energy power fluctuation: the control level adjusts the equipment characteristics in real time at the microsecond level, accurately suppresses harmonic interference, and blocks the fluctuation conduction from the source; the coordination level completes the dynamic balance of frequency and reactive voltage within the millisecond time scale, and quickly suppresses the medium-term fluctuation; the station level realizes the landing of long-term stable strategy through the overall frequency, voltage optimization regulation and power generation prediction in the second level dimension. The three-level linkage management and control mode significantly reduces the fluctuation amplitude of the grid frequency and voltage, and greatly improves the stability of the grid in the new energy grid-connected scenario.

[0056] As shown in Figure 1 The new energy grid-connected control system in the embodiment includes grid dispatching, energy management system (EMS), central control system (CCS), power conversion system (PCS) and multiple converter devices. Among them, the grid dispatching as the top command unit is directly connected with the EMS, and dominates the overall control direction through the instruction output. The EMS undertakes the core function of connecting the upper and lower levels: on the one hand, it receives the instruction signal of the grid dispatching, and on the other hand, it implements global coordination management on the new energy grid-connected power station, and forms a macro control strategy. The EMS and the CCS establish a data interaction channel, and transmit the refined coordination management instructions to the CCS. The CCS is in the middle level of the system, used to receive the EMS instructions and send control signals to the lower layer, at the same time, it collects the station operation state information in real time and returns to the EMS, realizing the dynamic linkage of upper and lower levels.

[0057] The CCS and the PCS form a control link, and the PCS as a direct operation unit connects multiple converter devices, responsible for converting the control instructions of the CCS into specific execution actions; at the same time, the PCS continuously collects real-time operation data of the converter devices, and transmits them to the CCS through a closed-loop feedback mechanism, ensuring that the state of the bottom equipment is monitorable and controllable.

[0058] In the embodiment, by formulating a unified standardized communication protocol, the data transmission and interaction standardization among the EMS, the CCS and the PCS are realized. High-speed and reliable communication technologies such as industrial Ethernet, optical fiber communication, etc. are adopted to ensure the real-time and accuracy of data transmission.

[0059] In the embodiment, the station level includes a frequency regulation module, a voltage regulation module, an inter-station optical storage dynamic allocation module and a new energy power generation prediction module.

[0060] A frequency adjustment module is configured to generate power generation prediction results in combination with a new energy generation prediction module according to real-time changes in the grid frequency, coordinate active power outputs of each converter cluster, realize accurate adjustment of the grid frequency, and ensure that the grid frequency is stable within a specified range.

[0061] A voltage adjustment module is configured to monitor grid point voltage in real time, adjust reactive power outputs of the converter cluster and the inter-station optical storage device, and maintain stable grid point voltage.

[0062] An inter-station optical storage dynamic deployment module is configured to dynamically adjust power distribution of the optical storage device according to illumination, energy storage state of each station, and grid load demand, optimize energy utilization, and improve new energy consumption capacity.

[0063] The new energy generation prediction module uses advanced meteorological data, historical generation data and machine learning algorithms to perform high-precision prediction of new energy generation power, and provides accurate data support for station-level frequency adjustment, voltage adjustment and optical storage dynamic deployment.

[0064] In this embodiment, the coordination level includes a frequency response control module, a transient reactive voltage control module, a multi-cluster active / reactive source collaborative allocation module, and a network construction / following network dynamic deployment module.

[0065] The frequency response control module is configured to monitor real-time changes in the grid frequency, and when it is detected that the grid frequency deviation exceeds a set threshold, the active power output of the converter cluster is adjusted to respond to the grid frequency adjustment demand by changing the output of the power generation device.

[0066] The transient reactive voltage control module is configured to dynamically adjust the reactive power output of the converter cluster when the grid fails or the voltage fluctuates, maintain stable grid voltage, and improve the transient stability of the system.

[0067] The multi-cluster active / reactive source collaborative allocation module is configured to optimize the allocation of active power and reactive power according to the real-time operating state of each converter cluster and the grid demand, thereby realizing collaborative operation between multiple clusters and improving energy utilization.

[0068] The network construction / following network dynamic deployment module is configured to dynamically adjust the working mode of the converter cluster according to the transient and steady-state operating conditions of the grid, maximize the efficiency and stability of new energy generation under the premise of ensuring grid stability.

[0069] In this embodiment, the coordination level establishes a mathematical model of the converter cluster by analyzing the topology, circuit parameters and control strategy of the converter; based on the mathematical model and real-time grid demand, the control parameters of the converter cluster are dynamically adjusted through an optimization algorithm to generate converter cluster control instructions, realizing the collaborative distribution of active power and reactive power among multiple converter clusters, so that multiple clusters can efficiently and collaboratively operate under different operating conditions.

[0070] In this embodiment, by accurately analyzing the dynamic response characteristics, coupling rules and collaboration mechanisms of the converter cluster, fine collaborative distribution of active / reactive power sources can be achieved, significantly improving the collaborative scheduling level of new energy power generation equipment and the response speed of grid instructions, and providing bottom-level technical support for power station-level active support. Based on deep control of cluster characteristics, the system can dynamically adjust the control strategy and resource allocation logic according to real-time operating conditions: on the one hand, high-precision new energy power generation prediction and dynamic allocation of field station light storage resources are deeply integrated, and through a closed-loop mechanism of prediction-response-optimization, the new energy consumption capacity is greatly improved; on the other hand, key functions such as wideband oscillation suppression are integrated, which can quickly suppress high-frequency oscillations caused by multiple device interactions, ensuring efficient and stable operation of the system under complex operating conditions, and further improving the overall operating efficiency of the power station and the adaptability of the grid.

[0071] In this embodiment, the control level includes a grid-following / grid-forming control module, a harmonic suppression module, a grid adaptability control module, a wideband oscillation suppression module, and a dynamic virtual impedance module.

[0072] The grid-following / grid-forming control module is used to switch the working mode of the converter according to the grid operating state and the characteristics of the power generation equipment, including using the grid-following mode when the grid is normally operating to realize the rapid tracking of the grid frequency and phase, and switching to the grid-forming mode when the grid is faulted or operating in island mode to provide stable voltage and frequency support for the local grid.

[0073] The harmonic suppression module is used to monitor the harmonic components in the output current of the converter in real time, and generate compensation current to offset the harmonic current according to the harmonic compensation algorithm, to reduce the harmonic content and improve the power quality.

[0074] The grid adaptability control module is used to automatically adjust the control parameters of the converter according to the changes of grid parameters (including voltage, frequency, phase, etc.), so that the converter can stably operate under different grid conditions.

[0075] The wideband oscillation suppression module is used to realize real-time monitoring and suppression of oscillation signals in a wideband range.

[0076] Specifically, the wideband oscillation suppression module uses adaptive filtering and feedback control technology to monitor and suppress oscillation signals in a wideband range in real time, preventing the system from oscillating and becoming unstable.

[0077] The dynamic virtual impedance module simulates a virtual impedance by controlling the output characteristics of the converter, so as to realize adjustment of system power factor and voltage stability.

[0078] In this embodiment, the control stage further comprises:

[0079] The low-voltage ride-through module is used to maintain the grid-connected operation of the converter and provide reactive power support when the grid voltage drops.

[0080] The high-voltage ride-through module is used to limit the overvoltage output of the converter when the grid voltage surges.

[0081] This embodiment studies the fault ride-through characteristics of the converter cluster under grid fault conditions, develops corresponding control strategies, and improves the low-voltage ride-through and high-voltage ride-through capabilities of the converter cluster under grid fault conditions, so as to ensure that the converter cluster can continue to operate and provide necessary support for the grid during grid fault.

[0082] In this embodiment, the system further comprises a data acquisition unit arranged at each level, which is used to acquire the operating parameters of the converter device, the grid parameters and the environmental parameters in real time, and upload the preprocessed data to the corresponding control level; the operating parameters include voltage, current, power and temperature, the grid parameters include frequency, voltage and phase, and the environmental parameters include light intensity or wind speed.

[0083] In this embodiment, the system is equipped with a data sharing platform as a key link between the series control stage, the coordination stage and the site stage, which provides core support for data interconnection and collaborative operation of each level. Through unified data interaction standards and efficient real-time transmission mechanism, the system breaks down the information barriers between levels, realizes seamless circulation and instant sharing of system operation data.

[0084] In summary, this embodiment integrates multiple levels of functions and dynamically allocates strategies to build a control system with stability and flexibility. In terms of function layout, the control stage integrates core functions such as harmonic suppression, wideband oscillation suppression and grid adaptability control to ensure the stability of the electrical characteristics of the underlying devices with microsecond-level response; the coordination stage focuses on fast frequency response control and transient reactive voltage control to realize collaborative adjustment of the device cluster within a millisecond time scale; and the site stage undertakes macro-control functions such as frequency regulation and high-precision power generation prediction to provide top-level decision support for the operation of the whole site.

[0085] Meanwhile, the system innovation realizes network construction type / following network type dynamic allocation, inter-station optical storage resource dynamic allocation and other strategies, and significantly enhances the adaptability of the system to complex working conditions through function linkage and strategy cooperation between levels. Based on real-time working condition perception, the system can flexibly adjust the control logic and resource allocation scheme. For example, the deep combination of high-precision new energy power generation prediction and inter-station optical storage dynamic allocation can improve the new energy consumption level through early prediction and dynamic balance; and the cross-level cooperation of functions such as wideband oscillation suppression can guarantee the efficient and stable operation of the system in the scenes of power fluctuation and device interaction, and ultimately realize the dual improvement of overall operation efficiency and grid adaptability.

[0086] The embodiment also provides a new energy power station active support control system, which comprises a double-layer control architecture, the double-layer control architecture comprising a basic control layer and a comprehensive coordination layer, and the basic control layer and the comprehensive coordination layer form a real-time closed-loop information flow through a standardized communication protocol;

[0087] The basic control layer is used for collecting operation data of a plurality of converter devices in real time and uploading the operation data to the comprehensive coordination layer, receiving a control instruction issued by the comprehensive coordination layer, and performing basic adjustment of power, voltage and frequency on a single converter according to the control instruction, so as to realize follow-network type control and harmonic suppression functions.

[0088] The comprehensive coordination layer is used for receiving a power grid dispatching instruction and converter operation data uploaded by the basic control layer, performing overall power distribution, voltage frequency coordination control and new energy power generation prediction according to the power grid dispatching instruction and the converter operation data, generating a control instruction and issuing the control instruction to the basic control layer.

[0089] The embodiment also provides a new energy power station active support control method, which is realized by using the new energy power station active support control system and comprises the following steps:

[0090] Step S1: initializing parameters of each level of the system and establishing a communication connection between each level.

[0091] When the system is started, the control parameters of each level are initialized and set, including the working mode of the converter of the control level, the power distribution parameters of the coordination level, the frequency and voltage adjustment threshold of the station level and the like. At the same time, the communication connection is established to ensure the normal data transmission between each level.

[0092] Step S2: collecting converter device operation parameters, power grid parameters and environmental parameters in real time through a data acquisition unit of the system.

[0093] Specifically, the parameters of the converter device, the power grid and the environment are monitored in real time through the data acquisition unit of each level, and the collected data are uploaded to the corresponding control level.

[0094] Step S3: Hierarchical control is performed through the multi-level control architecture of the system.

[0095] Specifically, the control level controls the converter equipment in real time through each functional module according to the collected data; the coordination level performs multi-cluster collaborative control through each functional module according to the data uploaded by the control level and the grid demand, and issues control instructions to the control level; and the station level performs overall control of the station level through each functional module according to the data uploaded by the coordination level and the grid dispatching instructions, and issues control instructions to the coordination level.

[0096] Step S4: Control parameters are dynamically optimized according to the operation data fed back after the instructions are executed.

[0097] Each level feeds back and optimizes according to the actual operation effect after the control instructions are executed. By continuously adjusting the control parameters and strategies, the system can achieve the optimal operation state under different working conditions.

[0098] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. Although the present application has been disclosed as above with a preferred embodiment, it is not intended to limit the present application. Therefore, any simple modification, equivalent change and modification made to the above embodiment according to the technical essence of the present application, without departing from the technical solution of the present application, shall fall within the scope of protection of the technical solution of the present application.

Claims

1. An active support control system for a new energy power plant, characterized in that, It includes a control hierarchy architecture with multiple nested layers at different time scales. The control hierarchy architecture includes a station level, a coordination level, and a control level. The station level, coordination level, and control level form a real-time closed-loop information flow through a standardized communication protocol. The station-level unit is used to receive grid dispatch instructions and multi-cluster status information fed back from the coordination level, generate station-level coordination management instructions by combining the power generation prediction results generated by the station-level new energy power generation prediction module, and send the station-level coordination management instructions to the coordination level. The coordination level is used to receive coordination and management instructions from the site level and real-time uploads of multiple converter operating data from the control level, and to integrate the multiple converter operating data into multi-cluster status information and upload it to the site level. Based on the station-level coordination and management instructions and the operating data of multiple converters, a converter cluster control instruction is generated and sent to the control level. The control level is used to collect operating data of multiple converter devices in real time and upload it to the coordination level, receive converter cluster control commands issued by the coordination level, and regulate the converter devices according to the converter cluster control commands. The coordination level includes a transient reactive voltage control module and a grid-type / grid-following dynamic allocation module. The transient reactive power control module is used to dynamically adjust the reactive power output of the converter cluster when a fault or voltage fluctuation occurs in the power grid. The grid-type / grid-following-type dynamic allocation module is used to dynamically adjust the working mode of the converter cluster according to the transient and steady-state operation of the power grid. The control stage includes a mesh-type / network-type control module, a wideband oscillation suppression module, and a dynamic virtual impedance module; The grid-following / grid-building control module is used to switch the converter's operating mode according to the grid operating status and the characteristics of the power generation equipment. This includes using the grid-following mode when the grid is operating normally to enable the converter to quickly track the grid frequency and phase, and switching to the grid-building mode when the grid is faulty or in islanded operation. The wideband oscillation suppression module is used to realize real-time monitoring and suppression of oscillation signals in a wide frequency range; The dynamic virtual impedance module simulates virtual impedance by controlling the output characteristics of the converter, thereby regulating the system power factor and voltage stability.

2. The active support control system for new energy power plants according to claim 1, characterized in that, The station-level system includes a frequency regulation module, a voltage regulation module, a dynamic allocation module for photovoltaic and energy storage between stations, and a new energy power generation prediction module. The frequency regulation module is used to coordinate the active power output of each converter cluster based on the real-time changes in the grid frequency and the power generation prediction results generated by the new energy power generation prediction module, so as to achieve precise regulation of the grid frequency. The voltage regulation module is used to monitor the grid connection point voltage in real time, regulate the reactive power output of the converter cluster and the photovoltaic and energy storage equipment between stations; The inter-site dynamic allocation module for photovoltaic and energy storage is used to dynamically adjust the power distribution of photovoltaic and energy storage equipment according to the irradiance, energy storage status and grid load demand of each site.

3. The active support control system for new energy power plants according to claim 1, characterized in that, The coordination level also includes a frequency response control module and a multi-cluster active / reactive power source collaborative allocation module; The frequency response control module is used to monitor grid frequency changes in real time. When the grid frequency deviation is detected to exceed the set threshold, the active power output of the converter cluster is adjusted to respond to the grid frequency regulation demand by changing the output of the power generation equipment. The multi-cluster active / reactive power collaborative allocation module is used to optimize the allocation of active and reactive power according to the real-time operating status of each converter cluster and the grid demand, thereby realizing the collaborative operation between multiple clusters.

4. The active support control system for new energy power plants according to claim 1, characterized in that, The coordination level establishes a mathematical model of the converter cluster by analyzing the topology, circuit parameters and control strategies of the converters. Based on the mathematical model and real-time grid demand, the control parameters of the converter cluster are dynamically adjusted through optimization algorithms to generate control commands for the converter cluster, thereby realizing the coordinated allocation of active and reactive power among multiple cluster converters and enabling multiple clusters to operate efficiently and collaboratively under different operating conditions.

5. The active support control system for new energy power plants according to claim 1, characterized in that, The control level also includes a harmonic suppression module and a power grid adaptability control module; The harmonic suppression module is used to monitor the harmonic components in the converter output current in real time and generate a compensation current to offset the harmonic current according to the harmonic compensation algorithm. The grid adaptability control module is used to automatically adjust the control parameters of the converter according to changes in grid parameters, so that the converter can operate stably under different grid conditions.

6. The active support control system for new energy power plants according to claim 1, characterized in that, The control level also includes: Low voltage ride-through module is used to maintain the grid-connected operation of the converter and provide reactive power support when the grid voltage drops; High voltage ride-through module is used to limit the overvoltage output of the converter when the grid voltage rises suddenly.

7. The active support control system for new energy power plants according to any one of claims 1 to 6, characterized in that, The system also includes data acquisition units at each level, used to collect the operating parameters of the converter equipment, grid parameters and environmental parameters in real time, and upload the pre-processed data to the corresponding control level; the operating parameters include voltage, current, power and temperature, the grid parameters include frequency, voltage and phase, and the environmental parameters include light intensity or wind speed.

8. The active support control system for new energy power plants according to any one of claims 1 to 6, characterized in that, In the nested control hierarchy architecture with multiple different time scales, the time scale of the station level is 100ms, the time scale of the coordination level is 10ms, and the time scale of the control level is 100us.

9. A method for active support control of a new energy power plant, implemented using the active support control system for a new energy power plant as described in any one of claims 1-8, characterized in that, Includes the following steps: Step S1: Initialize the system parameters at each level and establish communication connections between each level; Step S2: The system's data acquisition unit collects real-time operating parameters of the converter equipment, grid parameters, and environmental parameters; Step S3: Perform hierarchical control through the multi-level control architecture of the system; Step S4: Dynamically optimize control parameters based on the running data fed back after the instruction is executed.

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