Design method for station service power system of pumped storage power station

Abstract

The invention discloses a pumped storage power station auxiliary power system design method, and relates to the technical field of pumped storage power stations, and the method comprises the following steps: S1, multi-redundant power supply architecture design; s2, an intelligent bus connection and flexible switching mechanism; s3, carrying out intelligent classification and dynamic calculation on the auxiliary power load; s4, intelligent protection and panoramic monitoring of the auxiliary power system; according to the pumped storage power station auxiliary power system, through the multi-redundant power supply architecture, the intelligent bus connection and switching mechanism and the intelligent protection device, the occurrence probability of power failure accidents is effectively reduced, continuous power supply of key equipment can still be guaranteed in a complex fault scene, the reliability of the auxiliary power system is greatly improved, and the service life of the auxiliary power system is prolonged. A solid guarantee is provided for safe and stable operation of a power station.

Description

Technical Field

[0001] The present invention relates to the technical field of pumped-storage power stations, and particularly to a design method for the station service power system of a pumped-storage power station. Background Technique

[0002] A pumped-storage power station is a type of hydropower station that uses the low-valley electric energy of the power system to pump water from the lower reservoir to the upper reservoir for storage, and releases the water from the upper reservoir to generate electricity during the peak or emergency of the power system. The station service power system is an important part of the pumped-storage power station, responsible for providing reliable power supply for the unit equipment, auxiliary equipment, lighting system, etc. of the power station. As the core support part of it, the station service power system is directly related to the safety and stability of the power station operation.

[0003] However, there are many drawbacks in the design of the traditional station service power system. For example, the power supply reliability is poor, and it is difficult to cope with complex fault scenarios; the power quality is interfered by various factors, affecting the equipment life and operation efficiency; the operation and maintenance cost remains high, relying on a large number of manual inspections and conventional maintenance means; the adaptability to different working conditions is limited, and it is unable to dynamically and accurately match the power consumption requirements. With the development of pumped-storage power stations towards large capacity and high parameters, there is an urgent need for an innovative design method for the station service power system to break through the existing dilemmas.

[0004] Therefore, it is necessary to design a design method for the station service power system of a pumped-storage power station to solve the above technical problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a design method for the station service power system of a pumped-storage power station to solve the problems of poor power supply reliability of the power system in the prior art and limited adaptability to different working conditions as mentioned in the above background technique.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A design method for the station service power system of a pumped-storage power station, which includes the following steps:

[0007] S1. Design of a multi-redundant power supply architecture:

[0008] Connect the low-voltage side of the A main transformer to the underground No. I busbar, and the low-voltage side of the B main transformer to the underground No. III busbar. When the main transformer is operating normally, it converts the high voltage to 10 kV for the corresponding busbar, and introduces an intelligent algorithm to monitor the main transformer load and equipment power consumption requirements in real time to dynamically distribute power; Construct the underground No. III busbar, and at the same time connect the local power supply and the on-site diesel generator power supply as a backup system, and equip an energy storage buffer module to absorb current surges and store surplus electricity;

[0009] S2. Intelligent bus connection and flexible switching mechanism:

[0010] An intelligent connection switch is set between the underground Bus I, Bus II, and Bus III. During a fault, it automatically detects the fault type and location, and then closes the switch automatically or manually according to the preset strategy to switch the normal power supply to the faulty bus.

[0011] S3. Intelligent classification and dynamic calculation of auxiliary power loads:

[0012] The auxiliary power loads are divided into four categories: core critical, important guarantee, general operation, and non-essential interruptible loads. A model integrating big data and artificial intelligence algorithms is used to collect the operation data of equipment in real time. Combining the equipment working conditions, seasons, and power station dispatching plans, the load is dynamically predicted and accurately calculated through deep neural network algorithms.

[0013] S4. Intelligent protection and panoramic monitoring of the auxiliary power system:

[0014] An intelligent protection device integrating advanced algorithms and adaptive strategies is deployed. In addition to traditional functions, it adds harmonic monitoring and suppression and unbalanced current protection, and uses machine learning algorithms to automatically set the action parameters. A panoramic monitoring system based on the Internet of Things, big data, and cloud computing is constructed. Sensors are deployed at key positions in the plant to collect data such as equipment operation, power, and environment and upload them to the cloud platform. Operators can access the cloud platform through terminals to achieve monitoring, control, and alarm.

[0015] Furthermore, as an optimization, in the S1 multi-redundant power supply architecture design, the energy storage buffer module uses a supercapacitor bank, whose charge and discharge response time is fast, can absorb current spikes at the moment when the backup power supply is connected, and store excess electrical energy when the power is stable.

[0016] Furthermore, as an optimization, in the S2 intelligent bus connection and flexible switching mechanism, the intelligent connection switch has a fault type recognition function. By analyzing the characteristics such as the current waveform, voltage amplitude change, and power factor of the bus during a fault, it is used to accurately judge the fault type as short circuit, overload, or ground fault, etc. in a short time, and select the optimal normal power supply for switching according to the preset strategy.

[0017] Furthermore, as an optimization, in the S2 intelligent bus connection and flexible switching mechanism, the intelligent control system establishes a time series model of the power consumption load in each area, combines the real-time power supply status and equipment working condition data, and uses genetic algorithms to optimize the power distribution path to improve the overall operation efficiency of the auxiliary power system.

[0018] Furthermore, as an optimization, in the S3 intelligent classification and dynamic calculation of auxiliary power loads, it is the basis for classifying the power consumption of equipment such as the unit control system and emergency fire pumps as core critical loads.

[0019] Further, preferably, in the intelligent classification and dynamic calculation of the plant electrical load in S3, the deep neural network algorithm adopts a long short-term memory network (LSTM) model to learn the historical power consumption data of equipment under different seasons and different power station scheduling plans.

[0020] Further, preferably, in the intelligent protection and panoramic monitoring of the plant electrical system in S4, when the intelligent protection device detects harmonics, an active power filter is used to suppress harmonics, reducing the harmonic content to below the range permitted by national standards to ensure the power quality of the plant electrical system.

[0021] Further, preferably, in the intelligent protection and panoramic monitoring of the plant electrical system in S4, the panoramic monitoring system collects real-time environmental parameters such as vibration and temperature of the equipment by pasting sensors based on MEMS technology on the surface of the equipment, and uploads the data to the cloud platform through a wireless communication module.

[0022] Compared with the prior art, the present invention provides a design method for the plant electrical system of a pumped storage power station, having the following beneficial effects:

[0023] 1. Through the multi-redundant power supply architecture, intelligent bus connection and switching mechanism, and intelligent protection device, the present invention effectively reduces the occurrence probability of power outage accidents, and can still ensure the continuous power supply of key equipment in complex fault scenarios, greatly improving the reliability of the plant electrical system and providing a solid guarantee for the safe and stable operation of the power station.

[0024] 2. Through the intelligent classification and dynamic calculation of the plant electrical load, the adaptive optimization operation strategy, and the real-time optimization and dynamic adjustment mechanism, the present invention enables the plant electrical system to accurately match the power consumption requirements of the power station under different working conditions, realizes the efficient utilization of power resources, and significantly enhances the adaptability to various complex working conditions.

[0025] 3. Through the monitoring and suppression of power quality problems such as harmonics and unbalanced currents by the intelligent protection device, and the precise regulation and control of the operating states of the power supply and equipment, the present invention provides a stable and high-quality power supply environment for the in-plant equipment, extends the service life of the equipment, and improves the operating efficiency of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The drawings are used to provide a further understanding of the present application and constitute a part of the specification. They are used to explain the present application together with the embodiments of the present application and do not constitute a limitation to the present application;

[0027] Figure 1 It is a schematic flow chart of the steps of a design method for the plant electrical system of a pumped storage power station;

[0028] Figure 2 It is a schematic line structure diagram of a design method for the plant electrical system of a pumped storage power station; Detailed implementation manners

[0029] To make the objectives, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings in the present application. Apparently, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without making creative efforts shall fall within the protection scope of the present application.

[0030] The terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features; in the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0031] Please refer to Figure 1 - Figure 2 , an embodiment of the present invention provides a design method for the auxiliary power system of a pumped-storage power station, which includes the following steps:

[0032] S1. Design of a multi-redundant power supply architecture:

[0033] Connection and intelligent distribution of main transformer power supplies: Through a specific electrical connection method, the low-voltage side of main transformer A is connected to the underground busbar No. I, and the low-voltage side of main transformer B is connected to the underground busbar No. III. When the main transformer is operating normally, the electromagnetic conversion structure inside it stably converts high voltage into 10 kV low voltage to provide electrical energy for the corresponding busbar to meet the electricity consumption needs of most equipment in the plant. The introduced intelligent algorithm, based on the real-time data acquisition module, obtains parameters such as current and voltage of the main transformer load, as well as information such as power and duration of equipment electricity consumption. Using algorithm models such as fuzzy logic and neural networks, these data are deeply analyzed to calculate the power distribution ratio required for each busbar, and then through the intelligent power regulation device, the power distribution is dynamically adjusted to optimize the operation efficiency of the main transformer and reduce energy consumption.

[0034] Construction of Backup Power Supply System: Construct the underground Bus No. III and connect it to both the local power supply and the in-station diesel generator power supply simultaneously to form a backup power supply system. The local power supply is connected through a dedicated high-speed and reliable special line. In case of a main power failure, with the help of an intelligent switching device, the power supply can be switched within a short time to ensure the continuous supply of plant electricity. The in-station diesel generator power supply serves as the ultimate guarantee and is equipped with a quick start device. When both the main power supply and the local power supply fail, it can be started and powered within seconds. A energy storage buffer module is equipped for the backup power supply system. This module uses a supercapacitor bank, which is composed of multiple high-performance supercapacitors internally. Supercapacitors have the characteristic of an extremely short charge and discharge response time. At the moment when the backup power supply is connected, they can quickly absorb current spikes and avoid damage to equipment caused by current surges. When the power supply is stable, the excess electric energy is stored in the supercapacitor bank through an energy management circuit, and the storage efficiency can reach more than 95% for subsequent emergency use.

[0035] S2. Intelligent Bus Tie and Flexible Switching Mechanism:

[0036] Implementation of Intelligent Tie Switch Function: Install intelligent tie switches between the underground Bus No. I, Bus No. II, and Bus No. III. This switch integrates high-precision current and voltage sensors, as well as advanced signal processing and analysis chips. When a fault occurs in the bus or its corresponding power supply, the sensors quickly collect characteristic data such as the current waveform of the bus, the change in voltage amplitude, and the power factor during the fault, and transmit them to the signal processing chip. The chip uses a fault identification algorithm to accurately determine the type of fault within 5 milliseconds. For example, a short-circuit fault can be identified through characteristics such as a sharp increase in current and a sudden drop in voltage instantaneously; an overload fault is judged by the current exceeding the rated value for a long time; a grounding fault is determined based on characteristics such as zero-sequence current. According to the preset intelligent switching strategy, such as preferentially selecting the normal power supply that is closest to the faulty bus and has a lighter load, the intelligent tie switch automatically or manually closes according to the remote instruction of the operator, and precisely switches the power of the normal power supply to the faulty section of the bus to ensure the continuous and stable power supply of important loads.

[0037] The intelligent control system optimizes power distribution: An intelligent power network that coordinates between underground and above-ground is constructed through intelligent switches connecting the underground Busbar I and the above-ground Busbar I, the underground Busbar II and the above-ground Busbar II, and the above-ground Busbar I and the above-ground Busbar II. The intelligent control system uses a data acquisition module to obtain real-time data on the changes in power consumption loads in each area, including power, current, voltage, etc., as well as power source status data such as the load situation of the main transformer and the availability of standby power sources, and equipment operating condition data such as the operating status of equipment and start / stop times. Based on this data, a time series model of the power consumption load in each area is established, and a genetic algorithm is used to optimize the power distribution path. By simulating the biological evolution process, the genetic algorithm performs selection, crossover, and mutation operations on different power distribution schemes to find the optimal power distribution path, increasing the overall operating efficiency of the auxiliary power system by more than 15%. This ensures that when the power consumption load changes in different areas or the power source fluctuates, power can be quickly and reasonably allocated to ensure the stable operation of the system.

[0038] S3. Intelligent classification and dynamic calculation of auxiliary power loads:

[0039] Basis for fine load classification: According to the importance of equipment to the safe operation of the power station, the auxiliary power loads are divided into four categories. The power consumption of equipment such as the unit control system, governor system, excitation system, and emergency fire pump is classified as core critical loads because once the power supply to these devices is cut off, it will directly endanger the safe operation of the power station and may trigger major accidents. The power consumption of important lighting systems, some ventilation equipment, etc. is classified as important guarantee loads, which require stable power supply under normal and most special circumstances to maintain the basic operating environment and some key functions of the power station. The power consumption of ordinary plant ventilation equipment, some auxiliary production equipment, etc. belongs to general operating loads, and under certain conditions, such as when the power supply is tight, the power supply strategy can be appropriately adjusted to reduce its power consumption priority. The power consumption of some maintenance equipment during non-critical periods is non-essential interruptible loads, and when the power supply is insufficient or the system is abnormal, the power supply can be interrupted first to ensure the power consumption needs of more important equipment.

[0040] Operation of the dynamic load calculation model: A dynamic load calculation model that integrates big data analysis and artificial intelligence algorithms is adopted. Data acquisition sensors are deployed at key positions such as various in-plant electrical equipment, busbars, and lines to collect equipment operation data in real time, including current, voltage, power factor, operation time, etc. Combine the equipment operation condition data, such as different operation states of equipment when the unit is in the power generation or pumping condition; seasonal change data, the electricity consumption demand of equipment in different seasons may vary due to factors such as environmental temperature and humidity; power station load dispatch plan data, such as the power generation or pumping task arrangements of the power station at different times. Input these data into the deep neural network algorithm model, and use the long short-term memory network (LSTM) model to learn and process the data. The LSTM model can effectively capture the long-term dependence relationships in the data through a special memory unit structure, learn the historical electricity consumption data of equipment under different seasons and different power station dispatch plans, predict the load change within the next 1 hour, and the prediction accuracy reaches more than 90%, providing a scientific basis for power distribution and equipment regulation, and realizing the refined management of the in-plant power system.

[0041] S4. Intelligent protection and panoramic monitoring of the in-plant power system:

[0042] Upgrade of the intelligent protection device: An intelligent protection device is deployed in the in-plant power system. This device integrates advanced fault detection algorithms and adaptive protection strategies. In addition to having traditional functional modules such as overcurrent protection, overvoltage protection, undervoltage protection, and grounding protection, it also adds functional modules such as harmonic monitoring and suppression, and unbalanced current protection. Using machine learning algorithms, according to the parameters of equipment and lines, such as rated current, voltage level, line impedance, etc., automatically set parameters such as the operating current and operating time of the protection device. When there is harmonic interference in the system, the harmonic monitoring module detects the harmonic content and frequency in real time through algorithms such as Fourier transform. Once harmonics are detected, the intelligent protection device starts the active power filter, and by generating a compensation current with the same magnitude and opposite direction as the harmonic current, reduces the harmonic content to below the national standard allowable range, ensuring the power quality of the in-plant power system and avoiding damage to equipment caused by harmonics.

[0043] Construction of Panoramic Monitoring System: Build a panoramic plant power consumption monitoring system based on Internet of Things, big data and cloud computing technologies. Sensors based on MEMS technology are pasted on the surfaces of various power-consuming equipment in the plant. These sensors can collect environmental parameters such as vibration and temperature of the equipment in real time, as well as equipment operation status parameters such as rotational speed and pressure. Power parameter sensors are installed on the busbars and lines to collect power parameters such as current, voltage and power. These sensors upload the collected data to the cloud platform through wireless communication modules such as Bluetooth and Wi-Fi. Operators can access the cloud platform anytime and anywhere through terminal devices such as mobile phone APPs or computer clients to achieve real-time monitoring, remote control and fault alarm functions of the plant power consumption equipment. With the help of big data analysis and visualization technologies, the uploaded data is analyzed and processed to generate equipment operation status evaluation reports, power consumption trend analysis charts and fault warning information reports, etc., providing strong support for operation management and decision-making. By analyzing historical data, potential equipment failure risks are predicted, equipment maintenance plans are arranged in advance, equipment failure rates are reduced, and the operation management level of the power station is improved.

[0044] The above is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its inventive concept, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. A method for designing a power system for a pumped storage power station, characterized in that: It includes the following steps: S1. Multi-redundant power supply architecture design: Connect the low-voltage side of the A main transformer to the underground busbar I, and the low-voltage side of the B main transformer to the underground busbar III. When the main transformer is operating normally, the high voltage will be converted to 10kV to supply the corresponding busbar, and an intelligent algorithm will be introduced to monitor the main transformer load and equipment power demand in real time to dynamically allocate power; build an underground busbar III, connect the local power supply and the diesel generator power supply in the station as a backup system, and equip it with an energy storage buffer module to absorb current shocks and store surplus power; S2, Intelligent bus connection and flexible switching mechanism: An intelligent interconnection switch is installed between underground busbars I, II, and III. When a fault occurs, it automatically detects the fault type and location, and then automatically or manually closes the switch according to the preset strategy to switch the normal power supply to the faulty busbar. S3. Intelligent classification and dynamic calculation of power load in power plants: The power load of the plant is divided into four categories: core and critical loads, important guarantee loads, general operation loads and non-essential interruptible loads; A model integrating big data and artificial intelligence algorithms is used to collect equipment operation data in real time, and the load is dynamically predicted and accurately calculated through a deep neural network algorithm in combination with equipment operating conditions, seasons, and power station dispatch plans; S4. Intelligent protection and panoramic monitoring of power supply system: Deploy intelligent protection devices that integrate advanced algorithms and adaptive strategies. In addition to traditional functions, they also add harmonic monitoring suppression and unbalanced current protection, and use machine learning algorithms to automatically adjust action parameters. Build a panoramic monitoring system based on the Internet of Things, big data and cloud computing, deploy sensors at key locations in the factory, collect data such as equipment operation, power and environment, and upload them to the cloud platform. Operators access the cloud platform through terminals to achieve monitoring, control and alarm.

2. A method for designing a power system for a pumped storage power station according to claim 1, characterized in that: In the S1 multi-redundant power supply architecture design, the energy storage buffer module adopts a supercapacitor group, which has a fast charging and discharging response time, can absorb current spikes at the moment the backup power supply is connected, and store excess electrical energy when the power is stable.

3. A method for designing a power system for a pumped storage power station according to claim 1, characterized in that: The intelligent interconnection switch in the S2 intelligent bus interconnection and flexible switching mechanism has a fault type identification function. By analyzing the current waveform, voltage amplitude change, power factor and other characteristics of the bus during a fault, it is used to accurately determine the fault type as short circuit, overload or ground fault in a short time, and select the optimal normal power supply for switching according to the preset strategy.

4. A method for designing a power system for a pumped storage power station according to claim 1, characterized in that: In the S2 intelligent bus connection and flexible switching mechanism, the intelligent control system establishes a time series model of the power load in each area, combines the real-time power supply status and equipment operating data, and uses a genetic algorithm to optimize the power distribution path to improve the overall operating efficiency of the factory power system.

5. A method for designing a power system for a pumped storage power station according to claim 1, characterized in that: In the intelligent classification and dynamic calculation of the S3 plant power load, the power consumption of equipment such as unit control systems and emergency fire pumps is divided into the basis for core critical loads.

6. A method for designing a power system for a pumped storage power station according to claim 1, characterized in that: In the intelligent classification and dynamic calculation of the S3 plant power load, the deep neural network algorithm adopts a long short-term memory network (LSTM) model to learn the historical power consumption data of equipment under different seasons and different power station scheduling plans.

7. A method for designing a power system for a pumped storage power station according to claim 1, characterized in that: When the intelligent protection device in the S4 plant power system intelligent protection and panoramic monitoring detects harmonics, it uses an active power filter to suppress the harmonics and reduce the harmonic content to below the allowable range of national standards, so as to ensure the power quality of the plant power system.

8. A method for designing a power system for a pumped storage power station according to claim 1, characterized in that: The panoramic monitoring system described in the S4 plant power system intelligent protection and panoramic monitoring collects environmental parameters such as vibration and temperature of the equipment in real time by attaching sensors based on MEMS technology on the surface of the equipment, and uploads the data to the cloud platform through the wireless communication module.

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