Wind-solar-storage coordinated power control system

Abstract

The invention relates to the technical field of renewable energy utilization, and discloses a wind-solar-energy-storage coordinated power control system, which comprises a wind power generation module, a photovoltaic power generation module, an energy storage module and a control module, and is characterized in that the control module monitors the wind-solar power generation capacity and the energy storage state in real time through an intelligent algorithm, dynamically adjusts the power output of each module, and controls the power output of each module; stable and effective operation of the system is ensured; the wind power generation module adopts an advanced sensor to capture the wind speed change, the blade angle is accurately adjusted, and the wind energy utilization rate is maximized. The multi-stage detection algorithm of the fault diagnosis module can quickly identify and process faults, shorten recovery time and improve system reliability, the system can adapt to environmental changes, intelligently adjust operation strategies and guarantee power supply continuity, the service life of an energy storage device is optimized through real-time monitoring and data analysis, the service cycle of equipment is prolonged, and the system is suitable for popularization and application. The overall operation efficiency of the system is improved, the long-term maintenance cost is reduced, and the stability and sustainability of energy supply are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of renewable energy utilization, and particularly to a power control system for wind-solar-storage collaboration. Background Art

[0002] With the global emphasis on clean energy and sustainable development, the integrated wind-solar-storage system has gradually become a research hotspot in the energy field. However, there are still deficiencies in the power control of existing systems, such as uneven energy distribution, slow response speed, and untimely fault handling, resulting in low system operation efficiency. Therefore, the present invention proposes a power control system for wind-solar-storage collaboration to optimize the energy conversion and storage process and improve the stability and reliability of power supply. Summary of the Invention

[0003] The purpose of the present invention is to provide a power control system for wind-solar-storage collaboration to solve the problems raised in the above background art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: A power control system for wind-solar-storage collaboration includes a wind power generation module, a photovoltaic power generation module, an energy storage module, and a control module. The control module monitors the wind-solar power generation amount and energy storage status in real time through intelligent algorithms, dynamically adjusts the power output of each module, and ensures the stable and effective operation of the system; the wind power generation module uses advanced sensors to capture wind speed changes, precisely adjusts the blade angle, and maximizes the utilization rate of wind energy; the photovoltaic power generation module is equipped with efficient solar panels, combines light tracking technology, and adjusts the panel angle in real time to optimize light reception; the energy storage module uses a high-performance battery pack to achieve fast charging and discharging, effectively balance supply and demand fluctuations, and extend the system life;

[0005] An energy complementary mechanism module is provided between the wind power generation module and the photovoltaic power generation module, which exchanges power generation information in real time through a data sharing platform, coordinates their outputs, and improves the overall power generation efficiency; the wind power generation module, the photovoltaic power generation module, and the energy storage module are electrically connected, and the control module is connected to the wind power generation module, the photovoltaic power generation module, and the energy storage module through a data communication line.

[0006] Preferably, the wind power generation module specifically includes a horizontal axis wind power generation module, a vertical axis wind power generation module, and a pitch control module. The horizontal axis wind power generation module adjusts the blade windward angle through the pitch control module to optimize the wind capture efficiency; the vertical axis wind power generation module uses an adaptive adjustment technology to automatically adjust the blade rotation speed according to the wind direction change to improve the power generation efficiency; the pitch control module integrates multi-sensor data, accurately calculates the wind speed and wind direction changes, and adjusts the blade angle in real time to ensure that the wind power generation module can operate effectively under different meteorological conditions.

[0007] Preferably, the wind power generation module further includes a lightning protection module and a heat dissipation module. The lightning protection module adopts a multi-layer shielding design and effective lightning rods to effectively prevent lightning damage and ensure the safety of the equipment. The heat dissipation module uses effective heat dissipation materials and an intelligent temperature control system to monitor the equipment temperature in real time, automatically adjust the heat dissipation intensity, prevent overheating faults, and ensure the long-term stable operation of the system.

[0008] Preferably, the photovoltaic power generation module specifically includes monocrystalline silicon solar panels, polycrystalline silicon solar panels, and a photoelectric conversion efficiency optimization module. The monocrystalline silicon solar panels have a high photoelectric conversion rate, and the polycrystalline silicon solar panels have a cost advantage. The photoelectric conversion efficiency optimization module optimizes the light utilization rate through algorithms and combines light tracking technology to improve the overall photoelectric conversion efficiency.

[0009] Preferably, the photovoltaic power generation module further includes a dust-proof self-cleaning module and an anti-aging coating. The dust-proof self-cleaning module uses nano-coating technology to effectively prevent dust from adhering, keep the panel surface clean, and ensure the light reception efficiency. The anti-aging coating uses weather-resistant materials to extend the service life of the solar panels and resist ultraviolet radiation and harsh weather erosion.

[0010] Preferably, the energy storage module specifically includes a high-performance lithium battery pack, an intelligent energy management system, and a fast charge and discharge control module. The high-performance lithium battery pack is electrically connected to multiple independent battery units, the intelligent energy management system is electrically connected to multiple sensors, and the fast charge and discharge control module is connected to each module through a data communication line. The intelligent energy management system dynamically adjusts the energy storage strategy according to real-time data.

[0011] Preferably, the control module adopts an advanced power control algorithm, which can intelligently adjust the power output of each module according to the real-time output power of wind power generation and photovoltaic power generation, as well as the power grid demand and the charge and discharge status of the energy storage device. It specifically includes a data acquisition module, a processor, a real-time monitoring module, a power regulation / optimization module, an energy scheduling module, and a fault diagnosis module. The data acquisition module uses multi-channel sensors to collect environmental data such as wind speed, light, and temperature in real time and transmits the collected data to the processor. The processor quickly analyzes the data according to the preset algorithm, and the real-time monitoring module dynamically tracks the system operation status. The processor is signal-connected to the power regulation / optimization module, which accurately regulates the power output of each module according to the analysis results. The power regulation / optimization module is signal-connected to the energy scheduling module to coordinate the work of each module and ensure the effective distribution of energy. The fault diagnosis module monitors system anomalies in real time, issues alarms in a timely manner, and automatically isolates the faulty unit to ensure the safe and stable operation of the system and extend the overall service life.

[0012] Preferably, the formula of the power control algorithm:

[0013] P = (W_f * K_f + W_p * K_p) / (S_f + S_p) + ΔE,

[0014] where W_f is the wind power generation power, K_f is the wind power regulation coefficient, W_p is the photovoltaic power generation power, K_p is the photovoltaic power regulation coefficient, S_f is the wind power generation energy storage state, S_p is the photovoltaic power generation energy storage state, and ΔE is the energy compensation coefficient. By adjusting the value of ΔE in real time, the power output of each module is accurately balanced to ensure that the system can operate stably under different climate conditions, maximize the energy utilization rate, reduce the operation and maintenance costs, and improve the overall economic benefits;

[0015] The power regulation / optimization calculation formula:

[0016] K = (P_f / P_max) * α + (P_p / P_max) * β,

[0017] where P_f is the real-time wind power generation power, P_p is the real-time photovoltaic power generation power, P_max is the maximum output power of the system, and α and β are the wind power and photovoltaic power regulation weights respectively. By dynamically adjusting the values of α and β, the actual power demand is accurately matched, the energy distribution strategy is optimized, the system response speed is improved, and it is ensured that the system can still operate effectively in a complex environment.

[0018] Preferably, the energy scheduling module analyzes the energy requirements of each module in real time through an intelligent scheduling algorithm, dynamically adjusts the energy storage and output ratio, and optimizes the charging and discharging strategies of the energy storage device to ensure the balance of energy supply and demand and reduce energy loss. Among them, the intelligent scheduling calculation formula:

[0019] E = (D_f * γ + D_p * δ) / (C_f + C_p), where D_f is the wind demand coefficient, D_p is the photovoltaic demand coefficient, γ and δ are the wind power and photovoltaic scheduling weights respectively, C_f is the wind power storage capacity, and C_p is the photovoltaic power storage capacity. By adjusting the values of γ and δ in real time, the energy requirements of different modules are accurately responded to, the optimal energy distribution is achieved, the overall operation efficiency of the system is improved, the energy consumption is reduced, and the stability of the energy supply is guaranteed.

[0020] Preferably, the fault diagnosis module adopts a multi-level fault detection algorithm to collect the operation data of each module in real time, analyze the abnormal waveforms, quickly locate the fault points, and automatically start the standby unit to ensure seamless switching of the system. Among them, the multi-level fault detection calculation formula:

[0021] F = (A_f * λ + A_p * μ) / (B_f + B_p), where A_f is the wind power anomaly coefficient, A_p is the photovoltaic anomaly coefficient, λ and μ are the wind power and photovoltaic fault weights respectively, B_f is the wind power fault reference value, and B_p is the photovoltaic fault reference value. By adjusting the values of λ and μ in real time, different fault types can be accurately identified, quickly responded to and processed, the recovery time can be shortened, the system reliability can be improved, and continuous and stable power supply can be ensured.

[0022] The present invention provides a power control system for coordinated operation of wind power, photovoltaic power and energy storage. It has the following beneficial effects:

[0023] (1) By setting the energy compensation coefficient ΔE, the present invention can balance the wind power and photovoltaic power output in real time, effectively cope with climate fluctuations, ensure the stable operation of the system, improve the energy utilization efficiency, and reduce the operation and maintenance costs.

[0024] (2) By dynamically optimizing the values of α, β, γ, and δ, the present invention can accurately match the energy demand, reduce energy loss, improve the overall economic benefit of the system, realize efficient energy utilization, and reduce the operation cost.

[0025] (3) The multi-level detection algorithm of the fault diagnosis module of the present invention can quickly identify and process faults, shorten the recovery time, improve the system reliability. The system can adapt to environmental changes, intelligently adjust the operation strategy, ensure the continuity of power supply. By real-time monitoring and data analysis, the life of the energy storage device can be optimized, the service life of the equipment can be extended, the overall operation efficiency of the system can be improved, the long-term maintenance cost can be reduced, and the stability and sustainability of energy supply can be ensured. Description of the Drawings

[0026] Figure 1 is the overall architecture diagram of the system of the present invention;

[0027] Figure 2 is the view of the interaction relationship and data flow direction among the modules of the present invention. Detailed Embodiments

[0028] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0029] Examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0030] A preferred embodiment of the power control system for coordinated operation of wind power, photovoltaic power and energy storage is as follows Figure 1-2 shown: A power control system for coordinated operation of wind power, photovoltaic power and energy storage includes a wind power generation module, a photovoltaic power generation module, an energy storage module and a control module. The control module monitors the wind and photovoltaic power generation and the energy storage status in real time through intelligent algorithms, and dynamically adjusts the power output of each module to ensure the stable and efficient operation of the system; the wind power generation module uses advanced sensors to capture wind speed changes, precisely adjusts the blade angle, and maximizes the utilization rate of wind energy; the photovoltaic power generation module is equipped with efficient solar panels, combined with light tracking technology, and adjusts the panel angle in real time to optimize the light reception; the energy storage module uses a high-performance battery pack to achieve fast charging and discharging, effectively balance the supply and demand fluctuations, and extend the system life; an energy complementary mechanism module is provided between the wind power generation module and the photovoltaic power generation module, and the power generation information is exchanged in real time through a data sharing platform to coordinate the outputs of the two and improve the overall power generation efficiency; the wind power generation module, the photovoltaic power generation module and the energy storage module are electrically connected, and the control module is connected to the wind power generation module, the photovoltaic power generation module and the energy storage module through a data communication line;

[0031] The wind power generation module specifically includes a horizontal axis wind power generation module, a vertical axis wind power generation module and a pitch control module. The horizontal axis wind power generation module adjusts the blade windward angle through the pitch control module to optimize the wind capture efficiency; the vertical axis wind power generation module uses an adaptive adjustment technology to automatically adjust the blade rotation speed according to the wind direction change to improve the power generation efficiency; the pitch control module integrates multi-sensor data, accurately calculates the wind speed and wind direction changes, and adjusts the blade angle in real time to ensure that the wind power generation module can operate effectively under different meteorological conditions;

[0032] The wind power generation module also includes a lightning protection module and a heat dissipation module. The lightning protection module uses a multi-layer shielding design and effective lightning rods to effectively prevent lightning damage and ensure the safety of equipment; the heat dissipation module uses effective heat dissipation materials and an intelligent temperature control system to monitor the equipment temperature in real time, automatically adjust the heat dissipation intensity, prevent overheating faults, and ensure the long-term stable operation of the system;

[0033] The photovoltaic power generation module specifically includes monocrystalline silicon solar panels, polycrystalline silicon solar panels and a photovoltaic conversion efficiency optimization module. The monocrystalline silicon solar panels have a high photovoltaic conversion rate, and the polycrystalline silicon solar panels have a cost advantage. The photovoltaic conversion efficiency optimization module optimizes the light utilization rate through algorithms, combined with light tracking technology, to improve the overall photovoltaic conversion efficiency;

[0034] The photovoltaic power generation module also includes a dust-proof self-cleaning module and an anti-aging coating. The dust-proof self-cleaning module uses nano-coating technology to effectively prevent dust adhesion, keep the panel surface clean, and ensure the light reception efficiency; the anti-aging coating uses weather-resistant materials to extend the service life of the solar panels and resist ultraviolet rays and harsh weather erosion;

[0035] The energy storage module specifically includes a high-performance lithium battery pack, an intelligent energy management system, and a fast charge and discharge control module. The high-performance lithium battery pack is electrically connected to multiple independent battery units. The intelligent energy management system is electrically connected to multiple sensors to monitor the battery status in real time, optimize the charge and discharge strategy, and ensure the battery life. The fast charge and discharge control module is connected to each module through a data communication line to achieve fast current response, reduce energy loss, and improve the overall stability of the system. The intelligent energy management system dynamically adjusts the energy storage strategy according to real-time data, optimizes the energy distribution, and ensures effective output under different load conditions, thereby improving the comprehensive performance of the system.

[0036] The control module adopts an advanced power control algorithm. It can intelligently adjust the power output of each module according to the real-time output power of wind power generation and photovoltaic power generation, as well as the grid demand and the charge and discharge status of the energy storage device. It specifically includes a data acquisition module, a processor, a real-time monitoring module, a power regulation / optimization module, an energy scheduling module, and a fault diagnosis module. The data acquisition module uses multi-channel sensors to collect environmental data such as wind speed, light, and temperature in real time, and transmits the collected data to the processor. The processor quickly analyzes the data according to the preset algorithm. The real-time monitoring module dynamically tracks the system operation status. The processor is signal-connected to the power regulation / optimization module to accurately control the power output of each module according to the analysis results. The power regulation / optimization module is signal-connected to the energy scheduling module to coordinate the work of each module and ensure effective energy distribution. The fault diagnosis module monitors system anomalies in real time, issues alarms in a timely manner, and automatically isolates the faulty unit to ensure the safe and stable operation of the system and extend the overall service life.

[0037] The formula of this power control algorithm:

[0038] P = (W_f * K_f + W_p * K_p) / (S_f + S_p) + ΔE,

[0039] where W_f is the wind power generation power, K_f is the wind power regulation coefficient, W_p is the photovoltaic power generation power, K_p is the photovoltaic power regulation coefficient, S_f is the wind power generation energy storage status, S_p is the photovoltaic power generation energy storage status, and ΔE is the energy compensation coefficient. By adjusting the value of ΔE in real time, the power output of each module is accurately balanced to ensure that the system can operate stably under different climate conditions, maximize the energy utilization rate, reduce the operation and maintenance costs, and improve the overall economic benefits.

[0040] The formula for this power regulation / optimization:

[0041] K = (P_f / P_max) * α + (P_p / P_max) * β,

[0042] Among them, \(P_f\) is the real-time wind power generation power, \(P_p\) is the real-time photovoltaic power generation power, \(P_{max}\) is the maximum output power of the system, and \(\alpha\) and \(\beta\) are the wind power and photovoltaic power adjustment weights respectively. By dynamically adjusting the values of \(\alpha\) and \(\beta\), the actual power demand is accurately matched, the energy distribution strategy is optimized, the system response speed is improved, and it is ensured that the system can still operate effectively in complex environments;

[0043] Using the power control algorithm and power adjustment / optimization calculation, by adjusting the \(\Delta E\) value in real time, the power output of each module is accurately balanced, ensuring that the system can operate stably under different climate conditions. Dynamically adjust the values of \(\alpha\) and \(\beta\), accurately match the actual power demand, optimize the energy distribution strategy, improve the system response speed, ensure that the system can still operate effectively in complex environments, maximize the energy utilization rate, reduce the operation and maintenance costs, and improve the overall economic benefits.

[0044] The energy scheduling module analyzes the energy requirements of each module in real time through an intelligent scheduling algorithm, dynamically adjusts the energy storage and output ratio, optimizes the charge and discharge strategy of the energy storage device, and ensures the balance of energy supply and demand and reduces energy loss. Among them, the intelligent scheduling calculation formula:

[0045] \(E=(D_f*\gamma + D_p*\delta) / (C_f + C_p)\), where \(D_f\) is the wind power demand coefficient, \(D_p\) is the photovoltaic demand coefficient, \(\gamma\) and \(\delta\) are the wind power and photovoltaic scheduling weights respectively, \(C_f\) is the wind power energy storage capacity, and \(C_p\) is the photovoltaic energy storage capacity. By adjusting the values of \(\gamma\) and \(\delta\) in real time, the energy requirements of different modules are accurately responded to, the optimal energy distribution is achieved, the overall operation efficiency of the system is improved, the energy consumption is reduced, and the stability of the energy supply is guaranteed;

[0046] Using the energy scheduling module, by adjusting the values of \(\gamma\) and \(\delta\) in real time, the energy requirements of different modules are accurately responded to, the optimal energy distribution is achieved, the overall operation efficiency of the system is improved, the energy consumption is reduced, and the stability of the energy supply is guaranteed.

[0047] The fault diagnosis module adopts a multi-level fault detection algorithm, collects the operation data of each module in real time, analyzes the abnormal waveforms, quickly locates the fault point, and automatically starts the standby unit to ensure seamless switching of the system. Among them, the multi-level fault detection calculation formula:

[0048] \(F=(A_f*\lambda + A_p*\mu) / (B_f + B_p)\), where \(A_f\) is the wind power anomaly coefficient, \(A_p\) is the photovoltaic anomaly coefficient, \(\lambda\) and \(\mu\) are the wind power and photovoltaic fault weights respectively, \(B_f\) is the wind power fault reference value, and \(B_p\) is the photovoltaic fault reference value. By adjusting the values of \(\lambda\) and \(\mu\) in real time, different fault types are accurately identified, quickly responded to and processed, the recovery time is shortened, the system reliability is improved, and the continuous and stable power supply is guaranteed.

[0049] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0050] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A power control system for coordinated operation of wind power, photovoltaic power and energy storage, comprising a wind power generation module, a photovoltaic power generation module, an energy storage module and a control module, characterized in that: The control module monitors the wind-solar power generation and energy storage status in real time through intelligent algorithms, dynamically adjusts the power output of each module, and ensures the stable and efficient operation of the system; the wind power generation module uses advanced sensors to capture wind speed changes, precisely adjusts the blade angle, and maximizes the utilization rate of wind energy; the photovoltaic power generation module is equipped with efficient solar panels, combines light tracking technology, and adjusts the panel angle in real time to optimize light reception; the energy storage module uses high-performance battery packs to achieve fast charging and discharging, effectively balance the supply and demand fluctuations, and extend the system life; An energy complementary mechanism module is set between the wind power generation module and the photovoltaic power generation module, which exchanges power generation information in real time through a data sharing platform, coordinates their outputs, and improves the overall power generation efficiency; the wind power generation module, the photovoltaic power generation module and the energy storage module are electrically connected, and the control module is connected to the wind power generation module, the photovoltaic power generation module and the energy storage module through a data communication line.

2. The power control system for coordinated operation of wind power, photovoltaic power and energy storage according to claim 1, wherein: The wind power generation module specifically includes a horizontal axis wind power generation module, a vertical axis wind power generation module and a pitch control module. The horizontal axis wind power generation module adjusts the blade windward angle through the pitch control module to optimize the wind capture efficiency; the vertical axis wind power generation module adopts adaptive adjustment technology and automatically adjusts the blade rotation speed according to the wind direction change to improve the power generation efficiency; the pitch control module integrates multi-sensor data, accurately calculates the wind speed and wind direction changes, and adjusts the blade angle in real time to ensure that the wind power generation module can operate effectively under different meteorological conditions.

3. A power control system for coordinated operation of wind, light and energy storage, according to claim 1, characterized in that: The wind power generation module also includes a lightning protection module and a heat dissipation module. The lightning protection module adopts a multi-layer shielding design and effective lightning rods to effectively prevent lightning damage and ensure equipment safety; the heat dissipation module uses effective heat dissipation materials and an intelligent temperature control system to monitor the equipment temperature in real time, automatically adjust the heat dissipation intensity, prevent overheating faults, and ensure the long-term stable operation of the system.

4. A power control system for coordinated operation of wind, light and energy storage according to claim 1, characterized in that: The photovoltaic power generation module specifically includes monocrystalline silicon solar panels, polycrystalline silicon solar panels and a photovoltaic conversion efficiency optimization module. The monocrystalline silicon solar panels have a high photovoltaic conversion rate, and the polycrystalline silicon solar panels have a cost advantage. The photovoltaic conversion efficiency optimization module optimizes the light utilization rate through algorithms, combines light tracking technology, and improves the overall photovoltaic conversion efficiency.

5. The power control system for coordinated operation of wind power, photovoltaic power and energy storage according to claim 1, wherein: The photovoltaic power generation module also includes a dust-proof self-cleaning module and an anti-aging coating. The dust-proof self-cleaning module uses nano-coating technology to effectively prevent dust adhesion, keep the panel surface clean, and ensure the light reception efficiency; the anti-aging coating uses weather-resistant materials to extend the service life of the solar panels and resist ultraviolet radiation and harsh weather erosion.

6. The power control system for coordinated operation of wind power, photovoltaic power and energy storage according to claim 1, wherein: The energy storage module specifically includes a high-performance lithium battery pack, an intelligent energy management system and a fast charge and discharge control module. The high-performance lithium battery pack is electrically connected to multiple independent battery units, the intelligent energy management system is electrically connected to multiple sensors, and the fast charge and discharge control module is connected to each module through a data communication line. The intelligent energy management system dynamically adjusts the energy storage strategy according to real-time data.

7. The power control system for coordinated operation of wind power, photovoltaic power and energy storage according to claim 1, wherein: The control module adopts an advanced power control algorithm, which can intelligently adjust the power output of each module according to the real-time output power of wind power generation and photovoltaic power generation, as well as the grid demand and the charge and discharge status of the energy storage device. Specifically, it includes a data acquisition module, a processor, a real-time monitoring module, a power regulation / optimization module, an energy scheduling module, and a fault diagnosis module. The data acquisition module uses multi-channel sensors to collect environmental data such as wind speed, light, and temperature in real time, and transmits the collected data to the processor. The processor quickly analyzes the data according to the preset algorithm. The real-time monitoring module dynamically tracks the system operation status. The processor is signal-connected to the power regulation / optimization module, which accurately regulates the power output of each module according to the analysis results. The power regulation / optimization module is signal-connected to the energy scheduling module to coordinate the work of each module and ensure the effective distribution of energy. The fault diagnosis module monitors system anomalies in real time, issues alarms in a timely manner, and automatically isolates the faulty unit to ensure the safe and stable operation of the system and extend the overall service life.

8. A power control system for coordinated operation of wind, light and energy storage, characterized in that: The formula of this power control algorithm: P = (W_f * K_f + W_p * K_p) / (S_f + S_p) + ΔE, where W_f is the wind power generation power, K_f is the wind power regulation coefficient, W_p is the photovoltaic power generation power, K_p is the photovoltaic power regulation coefficient, S_f is the wind power generation energy storage status, S_p is the photovoltaic power generation energy storage status, and ΔE is the energy compensation coefficient. By adjusting the value of ΔE in real time, the power output of each module is accurately balanced to ensure that the system can operate stably under different climate conditions, maximize the energy utilization rate, reduce the operation and maintenance costs, and improve the overall economic benefits. The formula for this power regulation / optimization: K = (P_f / P_max) * α + (P_p / P_max) * β, where P_f is the real-time wind power generation power, P_p is the real-time photovoltaic power generation power, P_max is the maximum output power of the system, and α and β are the wind power and photovoltaic power regulation weights respectively. By dynamically adjusting the values of α and β, the actual power demand is accurately matched, the energy distribution strategy is optimized, the system response speed is improved, and it is ensured that it can still operate effectively in a complex environment.

9. A power control system for coordinated operation of wind power, photovoltaic power and energy storage, characterized in that: The energy scheduling module analyzes the energy requirements of each module in real time through an intelligent scheduling algorithm, dynamically adjusts the energy storage and output ratio, and optimizes the charge and discharge strategy of the energy storage device to ensure the balance of energy supply and demand and reduce energy loss. Among them, the intelligent scheduling formula: E = (D_f * γ + D_p * δ) / (C_f + C_p), where D_f is the wind power demand coefficient, D_p is the photovoltaic power demand coefficient, γ and δ are the wind power and photovoltaic scheduling weights respectively, C_f is the wind power energy storage capacity, and C_p is the photovoltaic power energy storage capacity. By adjusting the values of γ and δ in real time, the energy requirements of different modules are accurately responded to, the optimal energy distribution is achieved, the overall operation efficiency of the system is improved, the energy consumption is reduced, and the stability of the energy supply is guaranteed.

10. A power control system for coordinated operation of wind, light and energy storage, characterized in that: The fault diagnosis module adopts a multi-level fault detection algorithm, collects the operation data of each module in real time, analyzes the abnormal waveform, quickly locates the fault point, and automatically starts the standby unit to ensure seamless switching of the system. Among them, the multi-level fault detection formula: F = (A_f * λ + A_p * μ) / (B_f + B_p), where A_f is the wind power anomaly coefficient, A_p is the photovoltaic anomaly coefficient, λ and μ are the wind power and photovoltaic fault weights respectively, B_f is the wind power fault reference value, and B_p is the photovoltaic fault reference value. By adjusting the values of λ and μ in real time, different fault types can be accurately identified, quickly responded to and processed, the recovery time can be shortened, the system reliability can be improved, and continuous and stable power supply can be guaranteed.

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