New energy power station redundancy scheduling management method and system

Abstract

The invention provides a new energy power station redundancy scheduling management method and system, and the method comprises the steps: deploying a main switch and a standby switch in a control center of a new energy power station, and enabling the main switch to achieve the switching with the standby switch based on a dynamic link detection mechanism; for target equipment of a new energy power station, a main uninterruptible power supply and a standby uninterruptible power supply are provided, the main uninterruptible power supply and the standby uninterruptible power supply are respectively provided with an independent battery pack, a static switch is adopted to realize switching between the main uninterruptible power supply and the standby uninterruptible power supply, and loads of the main uninterruptible power supply and the standby uninterruptible power supply are allocated through load balancing; monitoring the operation state of the target equipment of the new energy power station through the control center; and when the running state of the target equipment shows to be abnormal, triggering a redundancy switching mechanism through the control center, and switching the abnormal target equipment to the preset standby equipment, so that resources can be reasonably allocated, the equipment overload can be avoided, and the resource utilization rate can be improved according to the real-time link state and the equipment load condition.

Description

Technical Field

[0001] This invention relates to the field of power plant dispatching technology, and in particular to a method and system for redundant dispatching management of new energy power plants. Background Technology

[0002] In the operation of new energy power plants, the reliability and stability of equipment are crucial. However, due to the unique characteristics of new energy power plants, their equipment is susceptible to external environmental factors (such as weather changes and power grid fluctuations) as well as internal factors such as equipment aging and failures, leading to abnormal equipment operation or even shutdowns. To ensure the stable operation of the power plant, redundancy design has become an important solution. The core of redundancy design lies in providing backup equipment and switching mechanisms, enabling rapid switching to backup equipment when the main equipment fails, thereby ensuring the continuous operation of the power plant.

[0003] However, existing redundancy switching schemes have shortcomings. Specifically, most existing redundancy switching mechanisms rely on simple fault detection signals; once a fault is detected, the system immediately switches to backup equipment. While this switching method can achieve basic redundancy, it is prone to problems such as voltage fluctuations and load surges during the switching process, affecting the stability of equipment and the power grid. Summary of the Invention

[0004] This invention provides a method and system for redundant scheduling management of new energy power plants, which solves the technical problem of voltage fluctuations that easily occur when power plant equipment is switched redundantly in the prior art.

[0005] On the one hand, the present invention provides a method for redundant scheduling management of new energy power plants, including: A main switch and a backup switch are deployed in the control center of a new energy power plant. The main switch switches the switch with the backup switch based on a dynamic link detection mechanism. For the target equipment of the new energy power station, a main uninterruptible power supply and a backup uninterruptible power supply are provided. Both the main uninterruptible power supply and the backup uninterruptible power supply are equipped with independent battery packs. A static switch is used to switch between the main uninterruptible power supply and the backup uninterruptible power supply. The load of the main uninterruptible power supply and the backup uninterruptible power supply is distributed through load balancing. The control center monitors the operating status of the target equipment in the new energy power plant. When the target device's operating status indicates an abnormality, the redundancy switching mechanism is triggered through the control center to switch the abnormal target device to a pre-set backup device.

[0006] According to a new energy power plant redundancy scheduling management method provided by the present invention, the master switch realizes the switching with the backup switch based on a dynamic link detection mechanism, including: A dynamic link detection mechanism is set up between the primary switch and the backup switch to monitor the bandwidth utilization, latency and packet loss rate of the link in real time and obtain the link detection results. When the link detection result indicates that the link performance of the main switch is higher than the preset threshold, the traffic allocation between the main switch and the backup switch is dynamically adjusted. When the link detection result indicates that the link performance of the primary switch is lower than the preset threshold, the switch will automatically switch to the backup switch even if no network fault is detected.

[0007] According to the present invention, a method for redundant scheduling and management of a new energy power plant, wherein the load distribution of the main uninterruptible power supply and the backup uninterruptible power supply through load balancing includes: Real-time monitoring of the load of the main uninterruptible power supply and the backup uninterruptible power supply; When the load on the main uninterruptible power supply or the backup uninterruptible power supply exceeds the preset ratio of its rated load, the load distribution of the main uninterruptible power supply or the backup uninterruptible power supply will be automatically adjusted to prevent the main uninterruptible power supply or the backup uninterruptible power supply from being overloaded. Dynamic voltage compensation is performed on the target equipment during the switching process between the main uninterruptible power supply and the backup uninterruptible power supply.

[0008] According to the present invention, a redundancy scheduling management method for a new energy power plant automatically adjusts the load distribution of the main uninterruptible power supply or the backup uninterruptible power supply when the load of the main uninterruptible power supply or the backup uninterruptible power supply exceeds a preset proportion of its rated load. The method includes: Real-time analysis of load change trends of the main uninterruptible power supply and the backup uninterruptible power supply, as well as the operating status of the target equipment; Based on the load change trend and the operating status of the target equipment, dynamically adjust the load distribution ratio between the main uninterruptible power supply and the backup uninterruptible power supply. By setting up a virtual load buffer between the primary uninterruptible power supply and the backup uninterruptible power supply, the impact during the load switching process can be smoothed out.

[0009] According to the present invention, a redundancy scheduling management method for new energy power plants is provided, which smooths out the impact during load switching by setting up a virtual load buffer between the primary uninterruptible power supply and the backup uninterruptible power supply, including: A virtual load buffer is constructed between the primary uninterruptible power supply and the backup uninterruptible power supply; By using deep learning algorithms to train historical load data of the main uninterruptible power supply and the backup uninterruptible power supply, a load change prediction model is obtained, which predicts the magnitude and duration of the impact that may occur during load switching, and serves as the prediction result. Based on the prediction results, the virtual load buffer automatically adjusts its internal load distribution strategy, temporarily storing some of the load in the buffer. After the load switch is completed, the virtual load buffer gradually redistributes the storage load to the primary and backup uninterruptible power supplies based on their actual load conditions.

[0010] According to a new energy power plant redundancy scheduling management method provided by the present invention, based on prediction results, a virtual load buffer automatically adjusts its internal load allocation strategy, temporarily storing a portion of the load within the buffer, including: Based on the prediction results, determine the maximum impact value and impact duration that may occur during the load switching process, and calculate the optimal load capacity range that needs to be reserved in the buffer zone by combining the current load status of the main uninterruptible power supply and the backup uninterruptible power supply. Based on the optimal load capacity range, a portion of the load is temporarily stored in the buffer. Gradually redistribute the storage load to the primary and backup uninterruptible power supplies, including: A piecewise linear compensation algorithm is used to gradually redistribute the storage load to the primary uninterruptible power supply and the backup uninterruptible power supply.

[0011] According to the present invention, a redundancy scheduling management method for new energy power plants employs a piecewise linear compensation algorithm to gradually redistribute the stored load to the primary uninterruptible power supply (UPS) and the backup UPS, comprising: In the first phase after the load switch is completed, the load distribution ratio is adjusted according to the first speed. In the second phase after the load switch is completed, the load allocation ratio is adjusted according to the second speed. In the third phase after the load switch is completed, the load distribution ratio is adjusted according to the third speed. Wherein, the first speed is faster than the second speed, and the second speed is faster than the third speed.

[0012] According to the present invention, a redundancy dispatch management method for a new energy power plant performs dynamic voltage compensation on target equipment during the switching process between the main uninterruptible power supply and the backup uninterruptible power supply, including: A multi-level dynamic voltage compensation module is set between the main uninterruptible power supply and the backup uninterruptible power supply. Each level of dynamic voltage compensation module adopts a different compensation strategy and dynamically selects the compensation level according to the magnitude and speed of voltage change. Real-time monitoring of the input voltage of the target device, combined with the voltage sensitivity and operating status of the target device, predicts the voltage change trend, and adjusts the voltage compensation strategy in advance based on the voltage change trend.

[0013] According to the present invention, a redundancy scheduling management method for a new energy power plant is provided, wherein the independent battery packs of the main uninterruptible power supply and the backup uninterruptible power supply are configured with differentiated charging strategies. Among them, the independent battery pack of the main uninterruptible power supply adopts constant current-constant voltage charging; The independent battery pack with uninterruptible power supply uses pulsed float charging.

[0014] On the other hand, the present invention also provides a redundancy scheduling and management system for new energy power plants, comprising: The switch module is used to deploy a main switch and a backup switch in the control center of a new energy power plant. The main switch achieves switching with the backup switch based on a dynamic link detection mechanism. The uninterruptible power supply (UPS) module is used to provide a main UPS and a backup UPS for the target equipment of the new energy power station. Both the main UPS and the backup UPS are equipped with independent battery packs, and the switching between the main UPS and the backup UPS is realized through a static switch. The load of the main UPS and the backup UPS is distributed through load balancing. The monitoring module is used to monitor the operating status of target equipment in the new energy power plant through the control center; The switching module is used to switch the abnormal target device to a pre-set backup device by triggering a redundancy switching mechanism through the control center when the target device's operating status indicates an abnormality.

[0015] The redundancy scheduling management method and system for new energy power plants provided by this invention, through the deployment of main and backup switches, as well as main and backup uninterruptible power supplies (UPS), can quickly switch to backup equipment when the target equipment fails or its performance degrades, ensuring the continuous and stable operation of the power plant. Based on a dynamic link detection mechanism, even if the main equipment has not completely failed, but its performance indicators are close to the threshold, it will switch to the backup equipment in advance to avoid the impact of potential failures on the system. By dynamically adjusting the traffic allocation of the main and backup switches, as well as the load allocation of the main and backup UPS, resources can be rationally allocated according to the real-time link status and equipment load, avoiding equipment overload and improving resource utilization. When an anomaly is detected in the target equipment, the redundancy switching mechanism can be quickly triggered to switch the load to the backup equipment, reducing the impact of failures on the operation of the power plant. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the redundant scheduling management method for new energy power plants provided in an embodiment of the present invention; Figure 2This is a schematic diagram of the structure of the redundancy dispatch management system for new energy power plants provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0019] Figure 1 This is a flowchart illustrating the redundant scheduling management method for new energy power plants provided in an embodiment of the present invention. New energy power plants can refer to photovoltaic power plants or wind power plants.

[0020] See Figure 1 The redundant scheduling management method for new energy power plants includes the following steps 101 to 104.

[0021] Step 101: Deploy a main switch and a backup switch in the control center of the new energy power plant. The main switch switches over to the backup switch based on a dynamic link detection mechanism.

[0022] The primary switch uses a dynamic link detection mechanism to switch over to the backup switch, including: A dynamic link detection mechanism is set up between the primary switch and the backup switch to monitor the bandwidth utilization, latency and packet loss rate of the link in real time and obtain the link detection results. When the link detection results indicate that the link performance of the main switch is higher than the preset threshold (e.g., bandwidth utilization is less than 90%, latency is less than 50ms, and packet loss rate is less than 2%), the traffic allocation between the main switch and the backup switch is dynamically adjusted. When the link detection results indicate that the link performance of the primary switch is lower than a preset threshold (e.g., bandwidth utilization exceeds 90%, latency exceeds 50ms, or packet loss rate exceeds 2%), the switch will automatically switch to the backup switch even if no network fault is detected.

[0023] Specifically, for example, when link detection results indicate that the main switch's link performance is higher than a preset threshold, it can be determined whether the link performance is outside the safe threshold range or within the adjustment threshold range. The safe threshold range can refer to bandwidth utilization less than 80%, latency less than 30ms, and packet loss rate less than 1%; the adjustment threshold range can refer to bandwidth utilization between 80-90%, latency between 30-50ms, and packet loss rate between 1-2%. If the link performance is within the safe threshold range, the main switch's traffic allocation does not need to be adjusted. If the link performance is within the adjustment threshold range, some of the main switch's traffic can be allocated to the backup switch.

[0024] Step 102: For the target equipment of the new energy power station, provide a main uninterruptible power supply and a backup uninterruptible power supply. Both the main uninterruptible power supply and the backup uninterruptible power supply are equipped with independent battery packs. A static switch is used to switch between the main uninterruptible power supply and the backup uninterruptible power supply. The load of the main uninterruptible power supply and the backup uninterruptible power supply is distributed through load balancing.

[0025] The load balancing of the main uninterruptible power supply (UPS) and the backup UPS includes: Real-time monitoring of the load of the main uninterruptible power supply (UPS) and the backup uninterruptible power supply; When the load on the main uninterruptible power supply or the backup uninterruptible power supply exceeds the preset ratio of its rated load, the load distribution of the main uninterruptible power supply or the backup uninterruptible power supply will be automatically adjusted to prevent the main uninterruptible power supply or the backup uninterruptible power supply from being overloaded. Dynamic voltage compensation is performed on the target equipment during the switching process between the main uninterruptible power supply and the backup uninterruptible power supply.

[0026] Step 103: Monitor the operating status of the target equipment in the new energy power station through the control center.

[0027] In this step, the target equipment refers to the key equipment in the power plant that requires close monitoring, such as generator sets, transformers, inverters, and energy storage systems. Operational status monitoring includes, but is not limited to, monitoring of electrical parameters (such as voltage, current, power, and frequency), environmental parameters (such as temperature, humidity, and air pressure), and equipment status (such as equipment operating time, fault alarm signals, and operating modes).

[0028] Step 104: When the operating status of the target device indicates an abnormality, the redundancy switching mechanism is triggered through the control center to switch the abnormal target device to the pre-set backup device.

[0029] In this step, the control center determines whether the target equipment is in an abnormal state based on the monitored operating status. An abnormal state may include equipment failure, performance degradation, or exceeding safe operating limits. The redundancy switching mechanism automatically switches the load of the target equipment to a pre-set backup device when an abnormality is detected, ensuring the continuous and stable operation of the power plant. The backup device is typically in standby mode, ready to take over the load of the primary equipment at any time.

[0030] In this embodiment, by deploying a primary switch and a backup switch, as well as a primary uninterruptible power supply (UPS) and a backup UPS, the system can quickly switch to the backup device when the target device fails or its performance degrades, ensuring the continuous and stable operation of the power plant. Based on a dynamic link detection mechanism, even if the primary device has not completely failed, the system will switch to the backup device in advance when its performance indicators are close to the threshold, avoiding potential failures from impacting the system. By dynamically adjusting the traffic allocation of the primary and backup switches, as well as the load allocation of the primary and backup UPS, resources can be rationally allocated according to the real-time link status and device load, avoiding device overload and improving resource utilization. When an anomaly is detected in the target device, the redundancy switching mechanism can be quickly triggered to switch the load to the backup device, reducing the impact of failures on the operation of the power plant.

[0031] In one embodiment of this specification, when the load of the main uninterruptible power supply (UPS) or the backup UPS exceeds a preset proportion of its rated load, the load distribution of the main UPS or the backup UPS is automatically adjusted, including: Step 1: Analyze the load change trends of the main uninterruptible power supply and the backup uninterruptible power supply, as well as the operating status of the target equipment in real time; In this step, the load status of the primary uninterruptible power supply (UPS) and backup UPS is monitored in real time to analyze load change trends, including the rate of increase or decrease in load and the timing of load peaks. For example, if the system detects a rapid increase in the load on the primary UPS, it may indicate a sudden increase in the power demand of a certain device. The operating status of the target device (such as power generation equipment, energy storage systems, etc.), including the device's power output, operating mode, and fault status, helps the system determine the cause of load changes, thereby allowing for more precise load allocation adjustments.

[0032] Step 2: Based on the load change trend and the operating status of the target equipment, dynamically adjust the load distribution ratio between the main uninterruptible power supply and the backup uninterruptible power supply. In this step, for example, if the target device is operating in an abnormal state, the system can switch to the corresponding backup uninterruptible power supply (UPS). If the load change trend indicates that the load on the main UPS is higher than the set rated ratio, a portion of the load can be switched to the backup UPS.

[0033] Here's a specific example: Assume a new energy power plant has two UPS systems: a main UPS and a backup UPS. Under normal circumstances, the main UPS handles 70% of the load, and the backup UPS handles 30%. At this time, the system detects that the load on the main UPS is rapidly increasing and is expected to reach 90% of its rated load within a short period. Simultaneously, the system detects a sudden increase in the power demand of a target device, causing an increase in the load on the main UPS. To prevent the main UPS from overloading, the system, based on the load change trend and the operating status of the target device, decides to adjust the load on the main UPS to 60% and switch 10% of the load to the backup UPS. After the adjustment, the load on the main UPS is 60%, and the load on the backup UPS is 40%, thus achieving a balanced load distribution and avoiding the risk of the main UPS overloading.

[0034] Step 3: By setting up a virtual load buffer between the primary uninterruptible power supply and the backup uninterruptible power supply, the impact during the load switching process is smoothed out.

[0035] In this embodiment, the load distribution ratio between the main UPS and the backup UPS can be dynamically adjusted according to load change trends and the operating status of the target equipment to ensure load balance and avoid overloading of a single UPS. During load switching, a virtual load buffer can effectively reduce voltage fluctuations and shocks caused by load switching, protecting the stability of equipment and the power grid.

[0036] In one embodiment of this specification, a virtual load buffer is set between the primary uninterruptible power supply (UPS) and the backup UPS to smooth out the impact during load switching, including: Step 1: Construct a virtual load buffer between the primary uninterruptible power supply (UPS) and the backup UPS; In this step, the virtual load buffer can be viewed as an "intermediate layer" used for temporary load storage and distribution between the primary and backup UPS, avoiding voltage fluctuations and equipment shocks caused by direct load switching. A virtual load buffer can be constructed through software or hardware; it can be a standalone module or part of the primary / backup UPS system.

[0037] Step 2: Use deep learning algorithms to train the historical load data of the main uninterruptible power supply and the backup uninterruptible power supply to obtain a load change prediction model, and predict the magnitude and duration of the impact that may occur during load switching, as the prediction result. In this step, historical load data of the main UPS and the backup UPS are collected, including load size, rate of change, peak value, etc.; deep learning algorithms (such as neural networks, LSTM, etc.) are used to train this data to build a load change prediction model; the prediction model can output the magnitude and duration of the impact that may occur during load switching in real time.

[0038] Step 3: Based on the prediction results, the virtual load buffer automatically adjusts its internal load distribution strategy, temporarily storing some of the load in the buffer. Step 4: After the load switch is completed, the virtual load buffer gradually redistributes the storage load to the primary and backup uninterruptible power supplies based on their actual load conditions.

[0039] In this embodiment, a virtual load buffer temporarily stores part of the load, effectively smoothing out the impact during load switching and reducing voltage fluctuations and equipment shocks. The load allocation strategy is dynamically adjusted based on prediction results to ensure reasonable load distribution and efficient system operation.

[0040] In one embodiment of this specification, based on the prediction results, the virtual load buffer automatically adjusts its internal load distribution strategy, temporarily storing a portion of the load in the buffer, including: Based on the prediction results, determine the maximum impact value and impact duration that may occur during the load switching process, and calculate the optimal load capacity range that needs to be reserved in the buffer zone by combining the current load status of the main uninterruptible power supply and the backup uninterruptible power supply (such as current load rate, remaining capacity, etc.). Based on the optimal load capacity range, a portion of the load is temporarily stored in the buffer. Gradually redistribute the storage load to the primary and backup uninterruptible power supplies, including: A piecewise linear compensation algorithm is used to gradually redistribute the storage load to the primary uninterruptible power supply and the backup uninterruptible power supply.

[0041] In this embodiment, the optimal load capacity range that needs to be reserved is generally greater than the maximum impact value. A load change prediction model can be built by training historical load data of the primary uninterruptible power supply (UPS) and the backup UPS using deep learning algorithms. This model can output the magnitude and duration of the potential impact during load switching in real time. The optimal load capacity is obtained by multiplying the load change rate by a safety factor and then adding it to the maximum impact value. The safety factor is an empirically set constant used to ensure sufficient buffer space. When the current load rate of the primary and backup UPS is low and there is ample remaining capacity, the optimal load capacity can be appropriately increased.

[0042] Based on the current load status (including current load rate and remaining capacity) of the main UPS and the backup UPS, this embodiment determines the optimal load capacity range that needs to be reserved in the buffer through a preset calculation model or algorithm. This ensures that the buffer can effectively absorb and mitigate the impact of load changes during load switching, while avoiding resource waste due to excessive reserved capacity.

[0043] In one embodiment of this specification, a piecewise linear compensation algorithm is used to gradually redistribute the storage load to the primary uninterruptible power supply and the backup uninterruptible power supply, including: In the first phase after the load switch is completed, the load distribution ratio is adjusted according to the first speed. In this step, load switching can be responded to quickly, initially balancing the load on the primary and backup UPS. Assuming 10% of the load in the buffer needs to be reallocated, the first phase can quickly allocate 3% of the load to the backup UPS. For example, the initial speed is 1 second.

[0044] In the second phase after the load switch is completed, the load allocation ratio is adjusted according to the second speed. In this step, after the first phase is completed, the virtual load buffer continues to allocate load at a slower rate. This adjustment speed is slower than the first phase to avoid system fluctuations caused by rapid allocation. For example, after allocating 3% of the load in the first phase, the second phase can allocate another 3% of the load to the backup UPS. For example, the second speed is 2 seconds.

[0045] In the third phase after the load switch is completed, the load distribution ratio is adjusted according to the third speed. In this step, after the second phase is completed, the virtual load buffer distributes the remaining load at the slowest possible speed. This adjustment speed is slower than the second phase to ensure smooth load distribution and system stability. For example, after allocating 3% of the load in the second phase, the third phase can gradually distribute the remaining 4% of the load to the backup UPS. For example, the third phase might take 4 seconds.

[0046] The first speed is faster than the second speed, and the second speed is faster than the third speed.

[0047] In this embodiment, the piecewise linear compensation algorithm significantly improves the smoothness and stability of the uninterruptible power supply system of the new energy power plant during load switching, providing a strong guarantee for the stable operation of the power plant.

[0048] In one embodiment of this specification, dynamic voltage compensation is performed on the target device during the switching process between the main uninterruptible power supply and the backup uninterruptible power supply, including: A multi-level dynamic voltage compensation module is set between the main uninterruptible power supply and the backup uninterruptible power supply. Each level of dynamic voltage compensation module adopts a different compensation strategy and dynamically selects the compensation level according to the magnitude and speed of voltage change. For example, a first-stage compensation module might be used to handle larger voltage changes, while a second-stage compensation module might be used to handle smaller voltage changes. If the voltage change is large and fast, the first-stage compensation module is selected; if the voltage change is small and slow, the second-stage compensation module is selected.

[0049] Real-time monitoring of the input voltage of the target device, combined with the voltage sensitivity and operating status of the target device, predicts the voltage change trend, and adjusts the voltage compensation strategy in advance based on the voltage change trend; This step uses time series analysis or machine learning algorithms to predict voltage change trends. Assuming three dynamic voltage compensation modules are set up: the first-level module handles voltage changes greater than 10%, the second-level module handles changes between 5% and 10%, and the third-level module handles changes less than 5%. Real-time monitoring of the target device's input voltage reveals a drop from 230V to 225V (a decrease of approximately 2.2%). Considering the target device's voltage sensitivity (it is highly sensitive to voltage fluctuations) and its current operating state (high load operation), it is predicted that the voltage may continue to drop to 220V (a decrease of approximately 4.3%). Based on this prediction, the second-level compensation module is selected to compensate, raising the voltage to 228V.

[0050] In this embodiment, a multi-level dynamic voltage compensation module and a real-time monitoring and prediction mechanism are introduced, which significantly improves the voltage stability of the uninterruptible power supply system of the new energy power plant during the power switching process.

[0051] In one embodiment of this specification, the main uninterruptible power supply and the backup uninterruptible power supply are configured with different charging strategies for their independent battery packs. Among them, the independent battery pack of the main uninterruptible power supply adopts constant current-constant voltage charging; The independent battery pack with uninterruptible power supply uses pulsed float charging.

[0052] In this embodiment, the main UPS and the backup UPS play different roles during operation. The main UPS is typically in continuous operation, while the backup UPS is in standby mode, ready to take over the load in the event of a main UPS failure. Therefore, their battery packs require different charging strategies to adapt to their operational needs. A constant current-constant voltage charging strategy is employed. Initially, the battery is charged rapidly with a constant current. When the battery voltage approaches the rated voltage, it switches to constant voltage charging mode to maintain stable battery voltage. This ensures that the main UPS can quickly recover power during daily operation while avoiding overcharging and extending battery life. A pulsed float charging strategy is also used. The charging current is output in pulses, intermittently charging the battery. This strategy maintains battery activity, reduces energy consumption, and adapts to the standby state of the backup UPS, ensuring rapid load takeover when needed.

[0053] In some other embodiments of this specification, the redundancy scheduling management method for new energy power plants further includes: The system integrates modules such as dispatch data network switch, station control layer switch, five-proof operating system, fault recording system, and UPS system into a compact device. Develop a dedicated embedded operating system to enable collaborative work between modules; An integrated, high-efficiency heat dissipation system ensures stable operation of the equipment in high-temperature environments.

[0054] In this embodiment, the heat dissipation system can be designed in various ways, such as fan cooling, liquid cooling, or heat pipe cooling. A suitable heat dissipation solution can be selected based on the device's power and operating environment. The heat dissipation system monitors the device temperature in real time using a temperature sensor. When the temperature exceeds a set threshold, the heat dissipation system automatically activates to ensure stable operation of the device in high-temperature environments.

[0055] A specific implementation example is shown below.

[0056] The implementation of the scheduling data network switches involves selecting high-performance Layer 3 switches as the core switching devices. Redundancy is achieved through VLAN (Virtual Local Area Network) and VRRP (Virtual Router Redundancy Protocol) configurations, creating a primary and backup switch setup. The primary switch handles normal data transmission, while the backup switch operates in hot standby mode. If the primary switch fails, the backup switch automatically takes over network traffic.

[0057] The implementation method of the station control layer switch is as follows: Deploy a dedicated Layer 2 switch to connect the station control layer equipment (such as a five-proof operating system, fault recording system, etc.). Monitor the equipment status in real time through a heartbeat detection mechanism (such as ICMP heartbeat packets or a dedicated heartbeat line). If a primary device failure is detected, immediately switch to the backup device.

[0058] The five-proof operating system is implemented by using a dual-machine hot standby architecture, deploying two servers running the five-proof operating system. Real-time synchronization between the primary and backup servers is achieved through software (such as clustering software), ensuring that the backup server can immediately take over in the event of a primary server failure.

[0059] The fault recording system is implemented using a dual-machine hot standby mode, deploying two fault recording devices. A real-time data synchronization and switching mechanism ensures the continuity and integrity of the fault recording data.

[0060] UPS system implementation: Deploy two UPS devices, one as the primary UPS and the other as a backup UPS. Each UPS is equipped with an independent battery pack, and primary / backup switching is achieved through a static switch. When the primary UPS detects a mains power outage or its own failure, the static switch automatically switches to the backup UPS.

[0061] Based on the same general inventive concept, this invention also protects a redundant scheduling and management system for new energy power plants, such as... Figure 2 As shown, Figure 2This is a schematic diagram of the structure of the redundancy dispatch management system for new energy power plants provided in an embodiment of the present invention. The redundancy dispatch management system for new energy power plants provided by the present invention is described below, and the redundancy dispatch management method for new energy power plants described below can be referred to in correspondence with that described above.

[0062] The redundant dispatch management system for new energy power plants includes a switch module 201, an uninterruptible power supply module 202, a monitoring module 203, and a switching module 204.

[0063] The switch module 201 is used to deploy a main switch and a backup switch in the control center of a new energy power plant. The main switch achieves switching with the backup switch based on a dynamic link detection mechanism. The uninterruptible power supply module 202 is used to provide a main uninterruptible power supply and a backup uninterruptible power supply for the target equipment of the new energy power station. Both the main uninterruptible power supply and the backup uninterruptible power supply are equipped with independent battery packs. The switching between the main uninterruptible power supply and the backup uninterruptible power supply is realized through static switch, and the load of the main uninterruptible power supply and the backup uninterruptible power supply is distributed through load balancing. Monitoring module 203 is used to monitor the operating status of target equipment in the new energy power plant through the control center; The switching module 204 is used to switch the abnormal target device to a pre-set backup device by triggering a redundancy switching mechanism through the control center when the target device's operating status indicates an abnormality.

[0064] Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention.

[0065] like Figure 3 As shown, the electronic device may include a processor 310, a communication interface 320, a memory 330, and a communication bus 340. The processor 310, communication interface 320, and memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions from the memory 330 to execute a redundancy scheduling management method for new energy power plants.

[0066] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0067] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the new energy power plant redundancy scheduling management method provided by the above methods.

[0068] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the redundancy scheduling management method for new energy power plants provided by the above methods.

[0069] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0070] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0071] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for redundant scheduling and management of new energy power plants, characterized in that, include: A main switch and a backup switch are deployed in the control center of a new energy power plant. The main switch switches the switch with the backup switch based on a dynamic link detection mechanism. For the target equipment of the new energy power station, a main uninterruptible power supply and a backup uninterruptible power supply are provided. Both the main uninterruptible power supply and the backup uninterruptible power supply are equipped with independent battery packs. A static switch is used to switch between the main uninterruptible power supply and the backup uninterruptible power supply. The load of the main uninterruptible power supply and the backup uninterruptible power supply is distributed through load balancing. The control center monitors the operating status of the target equipment in the new energy power plant. When the target device's operating status indicates an abnormality, the redundancy switching mechanism is triggered through the control center to switch the abnormal target device to a pre-set backup device.

2. The method for redundant scheduling and management of new energy power plants according to claim 1, characterized in that, The primary switch implements the handover to the backup switch based on a dynamic link detection mechanism, including: A dynamic link detection mechanism is set up between the primary switch and the backup switch to monitor the bandwidth utilization, latency and packet loss rate of the link in real time and obtain the link detection results. When the link detection result indicates that the link performance of the main switch is higher than the preset threshold, the traffic allocation between the main switch and the backup switch is dynamically adjusted. When the link detection result indicates that the link performance of the primary switch is lower than the preset threshold, the switch will automatically switch to the backup switch even if no network fault is detected.

3. The method for redundant scheduling and management of new energy power plants according to claim 1, characterized in that, The load balancing of the main uninterruptible power supply and the backup uninterruptible power supply includes: Real-time monitoring of the load of the main uninterruptible power supply and the backup uninterruptible power supply; When the load on the main uninterruptible power supply or the backup uninterruptible power supply exceeds the preset ratio of its rated load, the load distribution of the main uninterruptible power supply or the backup uninterruptible power supply will be automatically adjusted to prevent the main uninterruptible power supply or the backup uninterruptible power supply from being overloaded. Dynamic voltage compensation is performed on the target equipment during the switching process between the main uninterruptible power supply and the backup uninterruptible power supply.

4. The redundancy scheduling management method for new energy power plants according to claim 3, characterized in that, When the load on the main uninterruptible power supply (UPS) or backup UPS exceeds a preset proportion of its rated load, the load distribution of the main UPS or backup UPS will be automatically adjusted, including: Real-time analysis of load change trends of the main uninterruptible power supply and the backup uninterruptible power supply, as well as the operating status of the target equipment; Based on the load change trend and the operating status of the target equipment, dynamically adjust the load distribution ratio between the main uninterruptible power supply and the backup uninterruptible power supply. By setting up a virtual load buffer between the primary uninterruptible power supply and the backup uninterruptible power supply, the impact during the load switching process can be smoothed out.

5. The redundancy scheduling management method for new energy power plants according to claim 4, characterized in that, By setting up a virtual load buffer between the primary uninterruptible power supply (UPS) and the backup UPS, the impact during load switching is smoothed out, including: A virtual load buffer is constructed between the primary uninterruptible power supply and the backup uninterruptible power supply; By using deep learning algorithms to train historical load data of the main uninterruptible power supply and the backup uninterruptible power supply, a load change prediction model is obtained, which predicts the magnitude and duration of the impact that may occur during load switching, and serves as the prediction result. Based on the prediction results, the virtual load buffer automatically adjusts its internal load distribution strategy, temporarily storing some of the load in the buffer. After the load switch is completed, the virtual load buffer gradually redistributes the storage load to the primary and backup uninterruptible power supplies based on their actual load conditions.

6. The method for redundant scheduling and management of new energy power plants according to claim 5, characterized in that, Based on the prediction results, the virtual load buffer automatically adjusts its internal load distribution strategy, temporarily storing some of the load within the buffer, including: Based on the prediction results, determine the maximum impact value and impact duration that may occur during the load switching process, and calculate the optimal load capacity range that needs to be reserved in the buffer zone by combining the current load status of the main uninterruptible power supply and the backup uninterruptible power supply. Based on the optimal load capacity range, a portion of the load is temporarily stored in the buffer. Gradually redistribute the storage load to the primary and backup uninterruptible power supplies, including: A piecewise linear compensation algorithm is used to gradually redistribute the storage load to the primary uninterruptible power supply and the backup uninterruptible power supply.

7. The method for redundant scheduling and management of new energy power plants according to claim 6, characterized in that, A piecewise linear compensation algorithm is used to gradually redistribute the storage load to the primary and backup uninterruptible power supplies (UPS), including: In the first phase after the load switch is completed, the load distribution ratio is adjusted according to the first speed. In the second phase after the load switch is completed, the load allocation ratio is adjusted according to the second speed. In the third phase after the load switch is completed, the load distribution ratio is adjusted according to the third speed. Wherein, the first speed is faster than the second speed, and the second speed is faster than the third speed.

8. The method for redundant scheduling and management of new energy power plants according to claim 3, characterized in that, During the switching process between the main uninterruptible power supply (UPS) and the backup UPS, dynamic voltage compensation is performed on the target equipment, including: A multi-level dynamic voltage compensation module is set between the main uninterruptible power supply and the backup uninterruptible power supply. Each level of dynamic voltage compensation module adopts a different compensation strategy and dynamically selects the compensation level according to the magnitude and speed of voltage change. Real-time monitoring of the input voltage of the target device, combined with the voltage sensitivity and operating status of the target device, predicts the voltage change trend, and adjusts the voltage compensation strategy in advance based on the voltage change trend.

9. The method for redundant scheduling and management of new energy power plants according to claim 1, characterized in that, The main uninterruptible power supply (UPS) and backup UPS are configured with independent battery packs using differentiated charging strategies; among them... The independent battery pack of the main uninterruptible power supply adopts constant current-constant voltage charging; The independent battery pack with uninterruptible power supply uses pulsed float charging.

10. A redundant scheduling and management system for new energy power plants, characterized in that, include: The switch module is used to deploy a main switch and a backup switch in the control center of a new energy power plant. The main switch achieves switching with the backup switch based on a dynamic link detection mechanism. The uninterruptible power supply (UPS) module is used to provide a main UPS and a backup UPS for the target equipment of the new energy power station. Both the main UPS and the backup UPS are equipped with independent battery packs, and the switching between the main UPS and the backup UPS is realized through a static switch. The load of the main UPS and the backup UPS is distributed through load balancing. The monitoring module is used to monitor the operating status of target equipment in the new energy power plant through the control center; The switching module is used to switch the abnormal target device to a pre-set backup device by triggering a redundancy switching mechanism through the control center when the target device's operating status indicates an abnormality.

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