Distributed power generation system fault detection and repair system

Abstract

The invention relates to the technical field of intelligent monitoring and fault detection of a power system, and discloses a distributed power generation system fault detection and repair system. The distributed power generation system fault detection and repair system can obtain various operation data of the power generation equipment in real time, the fault index is calculated through intelligent analysis, rapid identification and positioning of potential faults are achieved, the automatic fault detection and repair mechanism improves the timeliness of fault response, and the fault detection and repair efficiency is improved. The risk of artificial omission is reduced, and automatic repair measures can be taken quickly when a fault occurs, so that efficient and stable operation of the system is guaranteed to the greatest extent, the overall reliability and efficiency of the distributed power generation system are improved, and continuity and safety of power supply are ensured. And the requirements of a modern power system on high reliability and high efficiency are met.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring and fault detection of power systems, and particularly to a fault detection and repair system for a distributed generation system. Background Art

[0002] A distributed generation system refers to a system in which power generation equipment is dispersed near power users and electricity is generated through various renewable energy sources (such as solar energy, wind energy, biomass energy, etc.). The main functions of this system are to improve the flexibility and reliability of power supply, reduce dependence on centralized power generation, and effectively reduce transmission losses. Since distributed generation equipment is usually installed on the user side, it can generate electricity locally to meet local electricity demand, reducing the burden on the power grid. At the same time, the distributed generation system can promote the utilization of renewable energy, optimize the energy structure, and contribute to sustainable development.

[0003] The fault detection and repair of traditional distributed generation systems often rely on manual inspections, which are inefficient and prone to missed detections, and cannot meet the requirements of modern power systems for high reliability and high efficiency. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides a fault detection and repair system for a distributed generation system, which can obtain various operating data of power generation equipment in real time and calculate a fault index through intelligent analysis to achieve rapid identification and location of potential faults. This automated fault detection and repair mechanism not only improves the timeliness of fault response, reduces the risk of human oversight, but also can quickly take automatic repair measures when a fault occurs, thereby maximizing the efficient and stable operation of the system, enhancing the overall reliability and efficiency of the distributed generation system, ensuring the continuity and security of power supply, and meeting the requirements of modern power systems for high reliability and high efficiency.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solution: A fault detection and repair system for a distributed generation system, comprising a data acquisition module, a data processing and analysis module, a fault detection module, a fault repair module, and a monitoring module;

[0008] The data acquisition module is used to obtain in real time the voltage, current, generator speed, generator temperature, humidity of the power generation environment, generator load, and equipment status data of the power generation system;

[0009] The data processing and analysis module is used to denoise the data obtained by the data acquisition module, and then calculate the power factor, output power, input power, power generation efficiency, temperature influence coefficient, wind speed influence coefficient, and light intensity influence coefficient of the power generation unit, and calculate the power generation system fault index for judging the fault problems of the power generation system;

[0010] The fault detection module conducts a fault analysis of the power generation system based on the power generation system fault index, identifies potential faults in the power generation system, and issues a power generation system fault repair instruction to the fault repair module once a fault is detected;

[0011] The fault repair module executes the power generation system fault repair instruction and takes automatic repair measures for the power generation system;

[0012] The monitoring module is responsible for real-time monitoring of the working status of the power generation system and feeding back the operation data and fault information of the power generation system to the operation and maintenance operators.

[0013] Preferably, the formula for data denoising is as follows:

[0014]

[0015] In the formula, y[n] represents the denoised data value, x[n-k] represents the original data value, M represents the selected size of the denoising window, and k represents the index subscript.

[0016] Preferably, the formula for calculating the power factor of the power generation unit is as follows:

[0017]

[0018] In the formula, PF represents the power factor of the power generation unit, P represents the active power, and S represents the apparent power.

[0019] Preferably, the formula for calculating the output power of the power generation unit is as follows:

[0020]

[0021] In the formula, P out represents the output power of the power generation unit, U out represents the output voltage, I out represents the output current, represents the phase difference between the output voltage and the current.

[0022] Preferably, the formula for calculating the input power of the power generation unit is as follows:

[0023]

[0024] In the formula, Pin represents the input power of the power generation unit, U in represents the input voltage, I in represents the input current, represents the phase difference between the input voltage and the current.

[0025] Preferably, the calculation formula of the power generation efficiency is as follows:

[0026]

[0027] In the formula, F represents the power generation efficiency, P out represents the output power of the power generation unit, P in represents the input power of the power generation unit.

[0028] Preferably, the calculation formula of the temperature influence coefficient is as follows:

[0029] C temp = 1 - k temp *(T - T nom )

[0030] In the formula, C temp represents the temperature influence coefficient, k temp represents the temperature sensitivity coefficient, T represents the current temperature, T nom represents the rated temperature.

[0031] Preferably, the calculation formula of the wind speed influence coefficient is as follows:

[0032] C wind = 1 + k wind *(V - V nom )

[0033] In the formula, C wind represents the wind speed influence coefficient, kw in f represents the wind speed sensitivity coefficient, V represents the current wind speed, V nom represents the rated wind speed.

[0034] Preferably, the calculation formula of the light intensity influence coefficient is as follows:

[0035] C light = 1 + k light *(I - I nom )

[0036] In the formula, C light represents the light intensity influence coefficient, k light represents the light sensitivity coefficient, I represents the current light intensity, I represents the rated light intensity.

[0037] Preferably, the formula for calculating the fault index of the power generation system is as follows:

[0038] F = w1 * ΔP + w2 * ΔT + w3 * C temp + w4 * C wind + w5 * C wind

[0039] In the formula, F represents the fault index of the power generation system, ΔP represents the power change, ΔT represents the temperature change, and w1, w2, w3, w4, and w5 represent the weights of each index.

[0040] Compared with the prior art, the present invention provides a distributed power generation system fault detection and repair system, which has the following beneficial effects:

[0041] The present invention can obtain various operating data of the power generation equipment in real time, and calculate the fault index through intelligent analysis, realizing the rapid identification and positioning of potential faults. This automated fault detection and repair mechanism not only improves the timeliness of fault response, reduces the risk of human oversight, but also can quickly take automatic repair measures when a fault occurs, thus maximizing the efficient and stable operation of the system, enhancing the overall reliability and efficiency of the distributed power generation system, ensuring the continuity and security of power supply, and meeting the requirements of modern power systems for high reliability and high efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying 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 of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0044] Aiming at the problem that the traditional distributed power generation system fault detection and repair often rely on manual inspection, with low efficiency and easy to miss detection, and cannot meet the requirements of modern power systems for high reliability and high efficiency, a distributed power generation system fault detection and repair system is proposed. Please refer to Figure 1 , the system includes a data acquisition module, a data processing and analysis module, a fault detection module, a fault repair module, and a monitoring module;

[0045] The data acquisition module uses advanced sensing technologies and data acquisition devices to obtain multiple key parameters of the power generation system in real time. These parameters include the voltage, current, generator speed, generator temperature, humidity of the power generation environment, generator load, and the equipment status of the entire power generation system.

[0046] To ensure the accuracy and reliability of the data, the data acquisition module adopts high-precision sensors and data acquisition systems. Current transformers and voltage transformers are generally used for the measurement of voltage and current. These devices can work safely and stably in high-voltage and high-current environments. The generator speed is achieved through a rotary encoder, which can accurately obtain the speed information of the unit under high-speed conditions and avoid the influence of vibration and temperature fluctuations on data acquisition.

[0047] For the detection of generator temperature and humidity of the power generation environment, temperature sensors and humidity sensors are used. These sensors usually have good anti-interference capabilities and can adapt to complex changes in different working environments. The generator load monitoring is achieved by measuring the output power and input power to evaluate the operating condition and load changes of the generator.

[0048] During the data acquisition process, to ensure that the acquired data can reflect the real-time state, the module also needs to embed a data processing unit for real-time data denoising and preprocessing. This process uses digital signal processing algorithms to remove environmental noise and interference signals, improving the signal-to-noise ratio of the data for subsequent fault detection and analysis.

[0049] The data acquisition module and the central monitoring system conduct real-time data transmission through data communication interfaces (such as MODBUS, CAN bus, etc.), ensuring that monitoring personnel can obtain and analyze various status data of the power generation system in real time. The implementation of this overall solution not only greatly improves the intelligent level of the power generation system but also provides reliable basic data support for subsequent data analysis, fault diagnosis, and maintenance decision-making, thus achieving efficient monitoring and sustainable optimization management of the power generation system.

[0050] The data processing and analysis module plays a core role in the distributed power generation system, responsible for deeply analyzing and intelligently processing the real-time data from the data acquisition module. First, this module applies advanced signal processing algorithms to denoise the original data to eliminate the influence of environmental interference, sensor errors, and external noise, ensuring the accuracy and reliability of subsequent calculations. The denoised data can be used for the calculation of various key indicators, including the power factor, output power, input power, and power generation efficiency of the power generation unit.

[0051] Among them, the calculation formula for the power factor of the power generation unit is as follows:

[0052]

[0053] The power factor reflects the ratio of the active power to the apparent power. The closer the value is to 1, the more efficient the operation of the device. Improving the power factor can reduce the loss of reactive power and convert more electrical energy into actual useful power. In the formula, PF represents the power factor of the power generation unit, P represents the active power, and S represents the apparent power. A good power factor can reduce harmonic interference, improve the power quality, and reduce the impact on other electrical devices, such as causing the motor to overheat or shortening the device life.

[0054] The calculation formula for the output power of the power generation unit is as follows:

[0055]

[0056] Real-time monitoring of the output power can help the operator immediately evaluate the performance of the power generation unit, ensure its operation within the design parameters, and then optimize the power generation efficiency. In the formula, P out represents the output power of the power generation unit, U out represents the output voltage, I out represents the output current, represents the phase difference between the output voltage and the current. By monitoring the output power of each power generation unit, the load of other power generation units can be adjusted to maintain the frequency and voltage stability of the system and reduce the risk of power supply interruption.

[0057] The calculation formula for the input power of the power generation unit is as follows:

[0058]

[0059] Abnormal input power may indicate equipment failure or unstable operation. Timely monitoring can effectively identify and quickly handle potential problems, reducing economic losses and downtime. In the formula, P in represents the input power of the power generation unit, U in represents the input voltage, I in represents the input current, represents the phase difference between the input voltage and the current. By comparing the input and output powers, various parameters of the system operation, such as load matching and conversion efficiency, can be analyzed to further optimize the system design and operation strategy.

[0060] The calculation formula for the power generation efficiency is as follows:

[0061]

[0062] By calculating the power generation efficiency, the energy loss sources can be identified and eliminated, the fuel use can be optimized, the power generation cost can be reduced, and the profitability can be improved. In the formula, F represents the power generation efficiency, P out represents the output power of the power generation unit, Pin Represents the input power of the power generation unit. The power generation efficiency is an important indicator for evaluating the operating status of the equipment. Continuous monitoring can provide a data basis for maintenance and management decisions, thereby ensuring that the system always maintains the best performance;

[0063] The calculation formula for the temperature influence coefficient is as follows:

[0064] C temp = 1 - k temp *(T - T nom )

[0065] Temperature changes will affect the efficiency and output of the power generation equipment. Understanding the temperature influence coefficient in a timely manner can optimize the operating conditions of the generator and ensure that it operates within the optimal temperature range. In the formula, C temp represents the temperature influence coefficient, k temp represents the temperature sensitivity coefficient, T represents the current temperature, and T nom represents the rated temperature. By controlling the temperature influence coefficient, the safety of the system can be enhanced, and equipment damage or electrical incidents caused by high temperatures can be avoided, ensuring the safety of equipment and personnel;

[0066] The calculation formula for the wind speed influence coefficient is as follows:

[0067] C wind = 1 + k wind *(V - V nom )

[0068] Wind speed changes directly affect the output power of the power generation unit. Understanding the wind speed influence coefficient can support operators to adjust the working parameters of the fan in a timely manner to ensure the stability of power generation. In the formula, C wind represents the wind speed influence coefficient, k wind represents the wind speed sensitivity coefficient, V represents the current wind speed, and V nom represents the rated wind speed. Based on the change of the wind speed influence coefficient, the utilization rate of wind energy resources can be optimized, the power generation capacity and economy of the power generation system can be improved, and thus the efficient utilization of resources can be achieved;

[0069] The calculation formula for the light intensity influence coefficient is as follows:

[0070] C light = 1 + k light *(I - I nom )

[0071] By understanding the light intensity influence coefficient, operators can optimize the positioning and configuration of photovoltaic modules to ensure maximum light energy absorption and conversion, improve the power generation quality. In the formula, C light represents the light intensity influence coefficient, k lightrepresents the light sensitivity coefficient, I represents the current light intensity, and I represents the rated light intensity. According to the real-time change of the light intensity influence coefficient, the operation strategy can be adjusted to counter the change of light conditions caused by weather or seasonal changes, ensuring stable power generation;

[0072] The calculation formula of the power generation system fault index is as follows:

[0073] F = w1 - ΔP + w2 * ΔT + w3 * C temp + w4 * C wind + w5 * C wind

[0074] The fault index integrates multiple parameters into a single indicator, enabling operators to quickly assess the overall health status of the power generation system and providing a convenient detection tool. In the formula, F represents the power generation system fault index, ΔP represents the power change, ΔT represents the temperature change, and w1, w2, w3, w4, w5 represent the weights of each indicator. This weight is assigned by power system operation and maintenance experts. By monitoring the change trend of the fault index, technicians can be notified to identify potential problems in advance, thereby taking preventive maintenance measures to reduce the risk of unexpected shutdowns and maintenance costs;

[0075] The fault detection module in the distributed power generation system is responsible for real-time monitoring and analysis of the working state of the power generation system. Using the calculated power generation system fault index, it conducts fault analysis using rule-based algorithms and machine learning models. By comparing the current fault index with historical data and threshold settings, this module can accurately identify potential fault conditions and provide early warnings to ensure that the system can detect potential hazards that may affect power generation efficiency and safety at an early stage. Once a fault is detected, the fault detection module will automatically generate a fault repair instruction and send it to the fault repair module through a secure communication interface;

[0076] After receiving these instructions, the fault repair module will apply intelligent automated repair algorithms to evaluate the type and degree of the fault and formulate corresponding repair strategies, which may include adjusting operating parameters, reconfiguring the load distribution of the power generation unit, or even starting standby equipment to restore the normal operating state of the system. The design of this module also incorporates adaptive control methods, enabling it to flexibly respond and execute various repair measures in different situations, such as remotely restarting power generation equipment or making real-time parameter adjustments, thus achieving fast and efficient fault response;

[0077] Meanwhile, the monitoring module is responsible for real-time monitoring of the operating data and fault information of the power generation system. It uses advanced data visualization tools to visualize the system status as charts or dashboards, helping operation and maintenance personnel quickly understand the system operating conditions and fault information, and providing real-time feedback to operation and maintenance operators through the user interface of the mobile or desktop terminal. In addition, the monitoring module also integrates an alarm mechanism. When a fault occurs or deviates from the normal operating range, the system will notify relevant operators in a timely manner through multiple methods such as email or text message, so that they can respond quickly to ensure the continuous and stable operation of the power generation system. This overall solution not only improves the efficiency of fault detection and repair through intelligent data processing and real-time monitoring, but also greatly reduces the need for manual intervention, making the operation and maintenance of the power generation system more efficient and safe.

[0078] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A fault detection and repair system for a distributed power generation system, characterized in that: It includes a data acquisition module, a data processing and analysis module, a fault detection module, a fault repair module, and a monitoring module; The data acquisition module is used to obtain in real time the voltage, current, generator speed, generator temperature, humidity of the power generation environment, generator load, and equipment status data of the power generation system; The data processing and analysis module is used to denoise the data obtained by the data acquisition module, and then calculate the power factor, output power, input power, power generation efficiency, temperature influence coefficient, wind speed influence coefficient, and light intensity influence coefficient of the power generation unit, and calculate the power generation system fault index to judge the fault problems of the power generation system; The fault detection module conducts a fault analysis of the power generation system based on the power generation system fault index, identifies potential faults in the power generation system, and once a fault is detected, it issues a power generation system fault repair instruction and sends it to the fault repair module; The fault repair module executes the power generation system fault repair instruction and takes automatic repair measures for the power generation system; The monitoring module is responsible for monitoring the working status of the power generation system in real time and feeding back the operation data and fault information of the power generation system to the operation and maintenance operators.

2. The fault detection and repair system for a distributed power generation system according to claim 1, wherein: The formula for the data denoising is as follows: In the formula, y[n] represents the denoised data value, x[n-k] represents the original data value, M represents the selected size of the denoising window, and k represents the index subscript.

3. The fault detection and repair system for a distributed power generation system according to claim 2, characterized in that: The formula for calculating the power factor of the power generation unit is as follows: In the formula, PF represents the power factor of the power generation unit, P represents the active power, and S represents the apparent power.

4. A fault detection and repair system for a distributed power generation system according to claim 3, characterized in that: The formula for calculating the output power of the power generation unit is as follows: In the formula, P out represents the output power of the power generation unit, U out represents the output voltage, I out represents the output current, represents the phase difference between the output voltage and the current.

5. The fault detection and repair system for a distributed power generation system according to claim 4, characterized in that: The formula for calculating the input power of the power generation unit is as follows: In the formula, P in represents the input power of the power generation unit, U in represents the input voltage, I in represents the input current, represents the phase difference between the input voltage and the current.

6. The fault detection and repair system for a distributed power generation system according to claim 5, wherein: The calculation formula for the power generation efficiency is as follows: In the formula, F represents the power generation efficiency, and P out represents the output power of the power generation unit, and P in represents the input power of the power generation unit.

7. A fault detection and repair system for a distributed power generation system according to claim 6, characterized in that: The calculation formula for the temperature influence coefficient is as follows: C temp = 1 - k temp *(T - T nom ) In the formula, C temp represents the temperature influence coefficient, k temp represents the temperature sensitivity coefficient, T represents the current temperature, and T nom represents the rated temperature.

8. A fault detection and repair system for a distributed power generation system according to claim 7, characterized in that: The calculation formula for the wind speed influence coefficient is as follows: C wind = 1 + k wind *(V - V nom ) In the formula, C wind represents the wind speed influence coefficient, k wind represents the wind speed sensitivity coefficient, V represents the current wind speed, V nom represents the rated wind speed.

9. A fault detection and repair system for a distributed power generation system according to claim 8, characterized in that: The calculation formula for the light intensity influence coefficient is as follows: C light = 1 + k light *(I - I nom ) In the formula, C light represents the light intensity influence coefficient, k light represents the light sensitivity coefficient, I represents the current light intensity, and I represents the rated light intensity.

10. A fault detection and repair system for a distributed power generation system according to claim 9, characterized in that: The formula for calculating the power generation system fault index is as follows: F = w1 * ΔP + w2 * ΔT + w3 * C temp + w4 * C wind + w5 * C wind In the formula, f represents the power generation system fault index, ΔP represents the power change, ΔT represents the temperature change, and w1, w2, w3, w4, w5 represent the weights of each index.

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