Optimization method and system for operation configuration of nuclear power plant cooling system

Abstract

The present invention relates to a method and system for optimizing the operational configuration of a nuclear power plant cold source system. The method comprises the following steps: collecting normal operating condition data and accident condition data of the nuclear power plant cold source system under various operating modes; performing simulation analysis on the normal operating condition data to determine an optimized operational configuration result of the cold source system for the normal operating condition; performing simulation analysis on the accident condition data to determine an optimized operational configuration result of the cold source system for the accident condition; and obtaining a final optimized operational configuration result for a specific operating mode based on the optimized operational configuration results for the normal operating condition and the accident condition. The present invention optimizes the operational configuration of the cold source system by comprehensively simulating and analyzing the normal operating condition data and the accident condition data under various operating modes, thereby improving the safety and operational flexibility of the nuclear power plant.

Description

Technical Field

[0001] This invention relates to the technical field of nuclear power units, and in particular to methods and systems for optimizing the operation and configuration of the cold source system in nuclear power plants. Background Technology

[0002] Nuclear power plant cooling systems include equipment cooling water systems and critical plant water systems. These systems remove various types of heat from the nuclear power plant, ensuring both normal operation and safety during accident conditions. The configuration of the nuclear power plant's cooling system is constrained by multiple factors. For example, it must ensure the removal of heat from every heat load, keeping the reactor coolant, spent fuel pool water, and various equipment and components within the plant within permissible temperature ranges. Furthermore, it must guarantee that under various potential accident conditions, the cooling system has sufficient capacity to control the consequences of the accident, ensuring that the consequences do not exceed the corresponding acceptance criteria.

[0003] Currently, the operation and configuration of the cooling source system in nuclear power plants are stipulated by various operating documents based on conservative principles. In order to comply with these regulations, nuclear power plants cannot flexibly carry out various maintenance activities on the cooling source system, which affects the power generation capacity of nuclear power plants. Therefore, there is room for improvement. Summary of the Invention

[0004] The technical problem to be solved by this invention is that the lack of flexibility in the operation and configuration of the cold source system of nuclear power plants leads to the inability to carry out maintenance activities efficiently and affects the power generation capacity. The invention provides an optimization method and system for the operation and configuration of the cold source system of nuclear power plants.

[0005] The technical solution adopted by the present invention to solve its technical problem is: an optimization method for the operation configuration of a nuclear power plant cold source system. The steps of the method include: collecting normal operating condition data of the nuclear power plant cold source system under various operating modes and collecting accident operating condition data of the nuclear power plant cold source system under various operating modes.

[0006] Simulation analysis is performed on the normal operating condition data under various operating modes to determine the optimized operating configuration of the cold source system under various operating modes for normal operating conditions.

[0007] Simulation analysis is performed on the accident condition data under various operating modes to determine the optimized operating configuration of the cold source system under various operating modes for accident conditions.

[0008] Based on the optimization results of the operation configuration for normal operating conditions and the optimization results of the operation configuration for accident operating conditions, the final optimization results of the operation configuration for various operating modes are obtained.

[0009] In one embodiment, the normal operating condition data includes: normal operating condition heat load data, normal operating condition operating configuration data, and seawater temperature data;

[0010] Simulation analysis of normal operating condition data under various operating modes determines the optimized operating configuration of the cold source system for normal operating conditions, including:

[0011] Step 1: Sampling the heat load data under normal operating conditions to obtain combined heat load data;

[0012] Step 2: Sample the normal operating configuration data to obtain the operating configuration combination data;

[0013] Step 3: Input the heat load combination data, the operation configuration combination data, and the seawater temperature data into the thermal-hydraulic analysis model for analysis to obtain the first performance index data of the cold source system under normal operating conditions;

[0014] Step 4: Repeat steps 1 to 3 until the preset number of samples is reached;

[0015] Step 5: Calculate the proportion of the first performance index data of the cold source system under normal operating conditions that meet the preset criteria for normal operating conditions. If the proportion meets the preset percentage, the corresponding operating configuration is taken as the operating configuration optimization result for normal operating conditions.

[0016] In one embodiment, the normal operating condition heat load data includes heat load probability density distribution data;

[0017] The sampling of the heat load data under normal operating conditions to obtain combined heat load data includes:

[0018] Obtain the operating mode of the nuclear power plant;

[0019] According to the operating mode, obtain the heat load probability density distribution data corresponding to the operating mode;

[0020] The sampling method based on probability integral transformation samples the heat load according to the heat load probability density distribution data to obtain the heat load combination data.

[0021] In one embodiment, the operational configuration data for normal operating conditions includes probability distribution data of operating equipment parameters;

[0022] The sampling of normal operating condition configuration data to obtain combined operating configuration data includes:

[0023] Obtain the operating configuration of the cooling system;

[0024] Obtain the probability distribution data of the operating equipment parameters corresponding to the operating configuration based on the operating configuration of the cold source system;

[0025] The sampling method based on probability integral transformation samples the operating equipment parameters according to the probability distribution data of the operating equipment parameters to obtain the operating configuration combination data.

[0026] In one embodiment, the probability distribution data of the operating equipment parameters includes pump flow probability density distribution data and heat exchanger heat transfer coefficient probability density distribution data;

[0027] The sampling method based on probability integral transformation samples the operating equipment parameters according to the probability distribution data of the operating equipment parameters to obtain the operating configuration combination data, including:

[0028] The sampling method based on the probability integral transformation extracts pump flow rate samples according to the pump flow rate probability density distribution data.

[0029] Based on the sampling method of the probability integral transformation, the heat exchanger heat exchanger coefficient is extracted according to the probability density distribution data of the heat exchanger heat exchanger coefficient to obtain a heat exchanger heat exchanger coefficient sample.

[0030] The operating configuration combination data is obtained by combining the flow rate sample of the pump and the heat transfer coefficient sample of the heat exchanger.

[0031] In one embodiment, the thermal-hydraulic analysis model includes a lumped parameter model and a computational fluid dynamics model;

[0032] The step of inputting the heat load combination data, the operating configuration combination data, and the seawater temperature data into a thermal-hydraulic analysis model for analysis, to obtain the first performance index data of the cold source system under normal operating conditions, includes:

[0033] The combined heat load data, the combined operating configuration data, and the seawater temperature data are input into the lumped parameter model and the computational fluid dynamics model to obtain the first performance index data of the cold source system under normal operating conditions at the seawater temperature.

[0034] In one implementation, the collection of accident condition data for the nuclear power plant's cooling system under various operating modes includes:

[0035] Acquire operational mode and specific accident condition data;

[0036] Based on the combination of the operating mode and the specific accident condition data, accident condition data of the nuclear power plant's cooling system under various operating modes are collected.

[0037] In one implementation, the accident condition data includes accident condition heat load data and accident condition operation configuration data;

[0038] The simulation analysis of accident condition data under various operating modes to determine the optimized operating configuration of the cold source system for accident conditions under various operating modes includes:

[0039] The heat load data of the accident condition, the operation configuration data of the accident condition, and the seawater temperature data are input into the thermal-hydraulic analysis model for analysis to obtain the second performance index data of the cold source system for the accident condition.

[0040] Determine whether the second performance index data of the cold source system for the accident condition meets the preset criteria for the accident condition. If it does, determine the operation configuration optimization result of the cold source system for the accident condition.

[0041] In one implementation, the final operation configuration optimization results for various operation modes, based on the operation configuration optimization results for normal operating conditions and the operation configuration optimization results for accident operating conditions, include:

[0042] Based on the optimization results of the operation configuration for normal operating conditions and the optimization results of the operation configuration for accident operating conditions, the final optimization results of the operation configuration under a specific operating mode and a specific seawater temperature condition are determined.

[0043] This application also provides an optimization system for the operation configuration of a nuclear power plant cold source system, including a processor and a memory storing a computer program, wherein the processor, when executing the computer program, implements the steps of the optimization method for the operation configuration of the nuclear power plant cold source system described above.

[0044] The present invention offers the following advantages: It relates to a method and system for optimizing the operational configuration of a nuclear power plant's cold source system. The method includes the following steps: collecting normal operating condition data and accident operating condition data of the nuclear power plant's cold source system; performing simulation analysis on the normal operating condition data under various operating modes to determine the optimized operational configuration results of the cold source system under normal operating conditions in each operating mode; performing simulation analysis on the accident operating condition data under the various operating modes to determine the optimized operational configuration results of the cold source system under accident operating conditions in each operating mode; and obtaining the final optimized operational configuration results for each operating mode based on the optimized operational configuration results for both normal and accident operating conditions. This invention optimizes the operational configuration of the cold source system by comprehensively simulating and analyzing the operating data of the cold source system under both normal and accident operating conditions, thereby improving the safety and operational flexibility of the nuclear power plant under different operating conditions. Attached Figure Description

[0045] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description of the present invention will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating the optimization method for the operation and configuration of the nuclear power plant cold source system proposed in this application. Detailed Implementation

[0047] To make the objectives, features, and advantages of this invention more apparent and understandable, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without inventive effort are within the scope of protection of this invention.

[0048] To address the technical problems existing in the background art—namely, the inability of nuclear power plants to flexibly carry out various maintenance activities on their cooling systems—this invention provides an optimization method for the operational configuration of nuclear power plant cooling systems, solving the problem of achieving a balance between high efficiency and safety in the operational configuration of cooling systems under different operating conditions. This method collects and analyzes normal operating condition data and accident operating condition data of the nuclear power plant cooling system under various operating modes, uses simulation analysis technology to determine the optimal operating configuration under each operating mode, and comprehensively evaluates the results to arrive at the final optimized operating configuration, thereby improving the operating efficiency of the cooling system while ensuring safety.

[0049] like Figure 1 As shown, in order to solve the above problems, this application provides an optimization method for the operation configuration of a nuclear power plant's cold source system, the method comprising the following steps:

[0050] Collect normal operating condition data of the nuclear power plant's cooling system under various operating modes and collect accident operating condition data of the nuclear power plant's cooling system under various operating modes;

[0051] Simulation analysis of normal operating condition data under various operating modes is conducted to determine the optimized operating configuration of the cold source system under various operating modes for normal operating conditions.

[0052] Simulation analysis of accident conditions under various operating modes is conducted to determine the optimized operating configuration of the cold source system under various operating modes for accident conditions.

[0053] Based on the optimization results of the operation configuration for normal operating conditions and the optimization results of the operation configuration for accident operating conditions, the final optimization results of the operation configuration for various operating modes are obtained.

[0054] This application optimizes the operation configuration of the cold source system under specific operating modes or stages of a nuclear power plant, and at specific seawater temperatures. This enhances the flexibility of cold source system maintenance, reduces overhaul time, and thus improves the operational efficiency and performance of the nuclear power plant while ensuring safety. This optimization method not only improves the efficiency of maintenance scheduling but also promotes the optimal allocation of human resources, effectively enhancing the overall operational flexibility and economic benefits of the nuclear power plant.

[0055] In addition to optimizing the operation configuration of the cold source system of a nuclear power plant, this invention can also be used to optimize the operation configuration of other systems in a nuclear power plant, such as the power system, thereby improving the flexibility of nuclear power plant operation, maintenance, and testing, and enhancing the operating performance of the nuclear power plant.

[0056] Specifically, this method involves collecting normal operating condition data and accident operating condition data from the nuclear power plant's cooling system and conducting two simulation analyses: one based on the normal operating condition data to determine the operating configuration of the cooling system under normal operating conditions; and the other, incorporating the accident operating condition data, to evaluate the operating performance of the cooling system under accident conditions and determine the corresponding safety configuration. Based on the results of these two simulation analyses, a final operating configuration scheme for the cooling system is derived. This optimization method not only improves the flexibility of cooling system maintenance and effectively saves overhaul time, thus significantly improving the operational efficiency and performance of the nuclear power plant, but also ensures operational safety.

[0057] In another embodiment, after determining the operating configuration of the cooling source system for normal operating conditions, a simulation analysis of accident conditions can be performed based on this configuration. Specifically, the operating configuration obtained for normal operating conditions is used as a prerequisite and input into the accident simulation analysis model to evaluate the cooling source system's response capability. In this way, while ensuring the efficient operation of the cooling source system under normal conditions, it also provides strong protection for its safe operation under accident conditions. This embodiment not only enhances the flexibility of cooling source system configuration but also further improves the safety and reliability of nuclear power plants in responding to accidents.

[0058] Furthermore, the normal operating condition data includes: normal operating condition heat load data, normal operating condition operating configuration data, and seawater temperature data;

[0059] Simulation analysis of normal operating condition data is conducted to determine the optimized operating configuration of the cold source system for normal operating conditions;

[0060] Step 1: Sampling the heat load data under normal operating conditions to obtain combined heat load data;

[0061] In one embodiment, a specific operating mode of the nuclear power plant (such as power operation mode, hot standby mode, etc.) is acquired. Based on this operating mode, the corresponding heat load probability density distribution data is obtained, including but not limited to through analysis and calculation or from operational and experimental data. This data includes the probability density distribution of heat loads such as core residual heat, spent fuel pool residual heat, and equipment heat. Then, based on a sampling method using probability integral transformation, the heat load is sampled according to the heat load probability density distribution data to simulate multiple sets of possible heat load combinations. Each set of data represents the heat load distribution that may occur under a specific operating mode.

[0062] Step 2: Sample the normal operating configuration data to obtain the operating configuration combination data;

[0063] In one embodiment, a specific operating configuration of the cold source system is obtained, including the number and configuration of pumps and heat exchangers in operating and standby states. Based on these configurations, including but not limited to obtaining corresponding probability distribution data of operating equipment parameters through analysis or from operating and experimental data, such as the flow probability density distribution of pumps and the heat transfer coefficient probability density distribution of heat exchangers. Then, using a sampling method based on probability integral transformation, the operating equipment parameters are sampled according to these probability distribution data to simulate multiple sets of possible operating configuration combinations. Each set of data represents the performance parameters of the pumps and heat exchangers that may occur under a specific configuration.

[0064] Step 3: Input the heat load combination data, operation configuration combination data and seawater temperature data into the thermal-hydraulic analysis model for analysis to obtain the first performance index data of the cold source system under normal operating conditions;

[0065] In one embodiment, a thermal-hydraulic analysis model is established. This model can be a lumped parameter model, a computational fluid dynamics model, or a coupling of both. Using the combined heat load data, combined operating configuration data, and specific seawater temperature data obtained in steps one and two as inputs, the model calculates the first performance index data of the cold source system under normal operating conditions, such as the inlet temperature of the equipment cooling water system, the reactor coolant temperature, and the spent fuel pool temperature.

[0066] Step 4: Repeat steps 1 to 3 until the preset number of samples is reached;

[0067] In one embodiment, a sampling number is preset (e.g., 1000 times), and then the process of steps one to three is repeated. Each time, different heat load combination data, operating configuration combination data and seawater temperature data are used for calculation and analysis to obtain a sufficient number of first performance index data samples of the cold source system under normal operating conditions.

[0068] Step 5: Calculate the proportion of the first performance index data of the cold source system under normal operating conditions that meet the preset criteria for normal operating conditions. If the proportion meets the preset percentage, the corresponding operating configuration is taken as the operating configuration optimization result for normal operating conditions.

[0069] In one embodiment, specifically, some criteria are pre-set according to design requirements (such as the maximum inlet temperature of the equipment cooling water system not exceeding a certain value, the time required for the reactor coolant to reach a specified cooling range not exceeding a certain value, etc.), and then the proportion of samples that meet these criteria in all sampling results is counted. If the proportion exceeds a preset threshold (such as 95%), the operating configuration is considered appropriate for a given operating mode and seawater temperature, and can be used as an optimization option.

[0070] Furthermore, the heat load data under normal operating conditions includes heat load probability density distribution data;

[0071] Sampling of heat load data under normal operating conditions yields combined heat load data, including:

[0072] Obtain the operating mode of the nuclear power plant;

[0073] Obtain the heat load probability density distribution data corresponding to the operating mode based on the operating mode;

[0074] The sampling method based on probability integral transformation samples the heat load according to the probability density distribution data of the heat load to obtain the heat load combination data.

[0075] Specifically, in a particular operating mode or stage of a nuclear power plant, a thorough analysis of all heat loads in the cooling system is first conducted. These heat loads not only contain deterministic values ​​but also each possesses a unique probability density distribution. To comprehensively and accurately evaluate the performance of the cooling system, based on these probability density distributions, a sampling method based on probability integral transformation is used, combined with a specific operating mode of the nuclear power plant, to precisely extract heat load samples, forming a representative heat load combination. Simultaneously, under normal operating conditions, optimizing the operational configuration of the cooling system is also crucial. A thorough analysis of the probability density distribution of key operating parameters of the cooling system is performed, using methods such as probability integral transformation to extract the flow rate value of each pump and the heat transfer coefficient value of each heat exchanger until a complete dataset of key operating parameters of the cooling system is obtained, thereby constructing a detailed and optimized combination of key operating parameters for the cooling system.

[0076] Furthermore, the operational configuration data for normal operating conditions includes probability distribution data of operating equipment parameters;

[0077] Sampling of the operating configuration data under normal operating conditions yields the following combined operating configuration data:

[0078] Obtain the operating configuration of the cooling system;

[0079] Obtain the probability distribution data of the operating equipment parameters corresponding to the operating configuration based on the operating configuration of the cold source system;

[0080] The sampling method based on probability integral transformation samples the operating equipment parameters according to the probability distribution data of the operating equipment parameters to obtain the operating configuration combination data.

[0081] Specifically, for pumps and heat exchangers, sampling is performed based on their probability density distribution data. For pumps, a flow rate value is extracted as a sample based on the pump's flow rate probability density distribution data using the probability integral transform method. For heat exchangers, a heat transfer coefficient value is extracted as a sample based on the heat transfer coefficient probability density distribution data using the same probability integral transform method. These pump and heat exchanger samples are then combined to form a complete set of operational configuration combination data. This process is repeated until the preset number of samplings is reached.

[0082] The probability distribution data of operating equipment parameters includes pump flow probability density distribution data and heat exchanger heat transfer coefficient probability density distribution data;

[0083] The sampling method based on probability integral transform samples the operating equipment parameters according to the probability distribution data of the operating equipment parameters, and obtains the operating configuration combination data, including:

[0084] The sampling method based on probability integral transformation extracts pump flow rate samples from pump flow rate probability density distribution data.

[0085] The sampling method based on probability integral transformation extracts the heat transfer coefficient of the heat exchanger according to the probability density distribution data of the heat transfer coefficient of the heat exchanger, and obtains the heat transfer coefficient sample of the heat exchanger.

[0086] The operating configuration combination data is obtained by combining the pump flow rate sample and the heat exchanger heat transfer coefficient sample.

[0087] Specifically, under normal operating conditions, for a specific operating configuration of the cold source system, a sampling method based on probability integral transformation is used to determine the combination of key operating parameters of the cold source system. First, based on the probability density distribution of the flow rates of each pump in the cold source system, a flow rate value is extracted. Similarly, based on the probability density distribution of the heat transfer coefficients of each heat exchanger in the cold source system, a heat transfer coefficient value is extracted using methods such as probability integral transformation. This process is repeated until sample values ​​of the flow rates of all pumps and the heat transfer coefficients of all heat exchangers in the cold source system are obtained. The probability distribution data of the operating equipment parameters, including the probability density distribution data of pumps and heat exchangers, is the basis for this sampling. Finally, these pump flow rate samples and heat exchanger heat transfer coefficient samples are combined to obtain a complete set of cold source system operating configuration combination data. Based on the probability distribution data, the sampling and combination of key operating parameters of the cold source system can be achieved to determine a reasonable combination of operating parameters.

[0088] Furthermore, the thermal-hydraulic analysis model includes lumped parameter models and computational fluid dynamics models;

[0089] The combined heat load data, combined operating configuration data, and seawater temperature data are input into a thermal-hydraulic analysis model for analysis, yielding the first performance index data of the cold source system under normal operating conditions, including:

[0090] By inputting the combined heat load data, combined operating configuration data, and seawater temperature data into the lumped parameter model and the computational fluid dynamics model, the first performance index data of the cold source system under normal operating conditions at seawater temperature is obtained.

[0091] Specifically, combined heat load data (including core residual heat, spent fuel pool residual heat, equipment heat, etc.), combined operating configuration data (including performance parameters of pumps and heat exchangers), and specified seawater temperature data are input into the lumped parameter model. The model analyzes the heat transfer processes within the cold source system and between the cold source system and other systems, establishes the heat balance equations for each heat exchanger, and obtains all overall parameters, such as the inlet temperature of the equipment cooling water system, the reactor coolant temperature, and the spent fuel pool temperature, through numerical solutions. Simultaneously, the same input data can also be input into the computational fluid dynamics (CFD) model. The CFD model focuses more on a detailed analysis of the heat transfer process within a specific heat load, obtaining detailed information such as local temperature and velocity distributions by solving the fluid dynamics and energy equations. Finally, the outputs of the lumped parameter model and the CFD model are combined to obtain the primary performance index data of the cold source system under normal operating conditions. This data comprehensively reflects the performance of the cold source system under given conditions.

[0092] Furthermore, collecting accident condition data of the nuclear power plant's cooling system under various operating modes includes:

[0093] Acquire operational mode and specific accident condition data;

[0094] Based on the combination of operating modes and specific accident condition data, accident condition data of the nuclear power plant's cooling system under various operating modes are collected.

[0095] Specifically, in the safety assessment of a nuclear power plant, the first step is to identify accident scenarios that require the cooling system to perform safety functions. These safety functions are crucial and aim to effectively remove heat from the reactor core, spent fuel pool, and other safety-related equipment. The identified accident scenarios include breach accidents and accidents involving the complete or partial loss of cooling. Next, a specific operating mode or stage of the nuclear power plant is combined with these identified accident scenarios, assuming that any of the aforementioned accident scenarios requiring cooling system intervention occurs during a specific operating mode or stage of the nuclear power plant. Subsequently, simulation analysis is performed using this accident scenario data. This analysis process involves combining the operating mode with the accident scenario data and using thermo-hydraulic simulation analysis to determine the optimized operating configuration of the cooling system for the accident scenarios. This process aims to comprehensively evaluate the performance and capabilities of the cooling system under various possible accident scenarios at the nuclear power plant.

[0096] Furthermore, the accident operating condition data includes accident operating condition heat load data and accident operating condition operation configuration data;

[0097] Simulation analysis of accident condition data under various operating modes was conducted to determine the optimized operating configuration of the cooling source system for accident conditions under various operating modes, including:

[0098] The heat load data, operation configuration data and seawater temperature data under the accident conditions are input into the thermal-hydraulic analysis model for analysis, and the second performance index data of the cold source system under the accident conditions are obtained.

[0099] Determine whether the second performance index data of the cold source system for the accident condition meets the preset criteria for the accident condition. If it does, determine the optimized operation configuration result of the cold source system for the accident condition.

[0100] In one embodiment, the accident-condition heat load data includes the envelope value of all heat loads that need to be removed by the cooling system under accident conditions. These heat loads cover the residual heat in the reactor core, the residual heat in the spent fuel pool, and the heat from various equipment. The accident-condition operating configuration data includes the envelope values ​​of key operating parameters under accident conditions, such as pump flow rates and heat exchanger coefficients. This data can be obtained based on design parameters or statistical data from actual operation and testing of the power plant. Next, a thermal-hydraulic analysis model of the cooling system under accident conditions is constructed. The heat load, the envelope values ​​of operating parameters, and a specified seawater temperature are used as inputs. The model outputs the inlet temperature of the equipment cooling water system and key parameters under accident conditions, such as the core water level, containment temperature and pressure, and containment sump water temperature. If all these calculated output parameters meet the corresponding criteria, it is determined that the operating configuration of the cooling system is appropriate for a certain operating mode or a certain stage of that mode in the nuclear power plant and can be considered as an optimization option.

[0101] Furthermore, based on the optimization results of the operation configuration for normal operating conditions and the optimization results of the operation configuration for accident operating conditions, the final optimization results of the operation configuration for various operating modes are obtained, including:

[0102] The final optimized operating configuration is determined based on the optimized operating configuration results for normal operating conditions and for accident operating conditions, under a specific operating mode and a specific seawater temperature condition.

[0103] Specifically, the results combined optimizations of the operating configuration for normal operation and optimizations for accident operation. These two sets of results represent the possible optimized configurations of the cooling source system under different conditions and considerations. Through meticulous comparison and analysis, the final operating configurations for the nuclear power plant under specific operating modes and specific seawater temperature conditions were determined. This process not only reflects stringent safety requirements but also fully considers the system's operating efficiency and economy, thereby ensuring that the nuclear power plant maintains optimal operating conditions under various circumstances.

[0104] This application optimizes the operation configuration of the cooling source system for specific operating modes or stages of nuclear power plants, and under specific seawater temperature conditions. This significantly improves the flexibility of cooling source system maintenance, effectively shortens overhaul periods, and thus substantially enhances the operational efficiency and performance of the nuclear power plant, while ensuring extremely high safety throughout the process. This optimization strategy not only greatly improves the efficiency of maintenance activity scheduling but also promotes the optimal allocation of human resources, significantly enhancing the overall operational flexibility and economic benefits of the nuclear power plant. More importantly, the optimization approach presented in this invention is not limited to the cooling source system; it is also applicable to other systems in the nuclear power plant, such as the power system, comprehensively improving the flexibility of the nuclear power plant in operation, maintenance, and testing, thereby further driving the growth of the nuclear power plant's operational performance.

[0105] This application also provides an optimization system for the operation configuration of a nuclear power plant cold source system, including a processor and a memory storing a computer program. When the processor executes the computer program, it implements the steps of the optimization method for the operation configuration of a nuclear power plant cold source system as claimed above.

[0106] It is understood that the above embodiments only illustrate preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can freely combine the above technical features without departing from the concept of the present invention, and can also make several modifications and improvements, all of which fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made with respect to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for optimizing the operation configuration of a nuclear power plant's cooling source system, characterized in that, The method includes: Collect normal operating condition data of the nuclear power plant's cooling system under various operating modes and collect accident operating condition data of the nuclear power plant's cooling system under various operating modes; Simulation analysis is performed on the normal operating condition data under various operating modes to determine the optimized operating configuration of the cold source system under various operating modes for normal operating conditions. Simulation analysis is performed on the accident condition data under various operating modes to determine the optimized operating configuration of the cold source system under various operating modes for accident conditions. Based on the operation configuration optimization results for normal operating conditions and the operation configuration optimization results for accident operating conditions, the final operation configuration optimization results for various operating modes are obtained. The normal operating condition data includes: normal operating condition heat load data, normal operating condition operation configuration data, and seawater temperature data; the normal operating condition operation configuration data includes probability distribution data of operating equipment parameters. Sampling of the normal operating condition configuration data yields combined operating configuration data, including: Obtain the operating configuration of the cooling system; Obtain the probability distribution data of the operating equipment parameters corresponding to the operating configuration based on the operating configuration of the cold source system; The sampling method based on probability integral transformation samples the operating equipment parameters according to the probability distribution data of the operating equipment parameters to obtain the operating configuration combination data. The probability distribution data of the operating equipment parameters includes pump flow probability density distribution data and heat exchanger heat transfer coefficient probability density distribution data. The sampling method based on probability integral transformation samples the operating equipment parameters according to the probability distribution data of the operating equipment parameters to obtain the operating configuration combination data, including: Based on the sampling method of the probability integral transformation, the pump flow rate is extracted according to the pump flow rate probability density distribution data to obtain a pump flow rate sample; Based on the sampling method of the probability integral transform, the heat transfer coefficient of the heat exchanger is extracted according to the probability density distribution data of the heat transfer coefficient of the heat exchanger to obtain a sample of the heat transfer coefficient of the heat exchanger; The operating configuration combination data is obtained by combining the flow rate sample of the pump and the heat transfer coefficient sample of the heat exchanger.

2. The method for optimizing the operation configuration of a nuclear power plant cold source system according to claim 1, characterized in that, Simulation analysis of normal operating condition data under various operating modes determines the optimized operating configuration of the cold source system for normal operating conditions, including: Step 1: Sampling the heat load data under normal operating conditions to obtain combined heat load data; Step 2: Sample the normal operating configuration data to obtain the operating configuration combination data; Step 3: Input the heat load combination data, the operation configuration combination data, and the seawater temperature data into the thermal-hydraulic analysis model for analysis to obtain the first performance index data of the cold source system under normal operating conditions; Step 4: Repeat steps 1 to 3 until the preset number of samples is reached; Step 5: Calculate the proportion of the first performance index data of the cold source system under normal operating conditions that meet the preset criteria for normal operating conditions. If the proportion meets the preset percentage, the corresponding operating configuration is taken as the operating configuration optimization result for normal operating conditions.

3. The method for optimizing the operation configuration of a nuclear power plant's cold source system according to claim 2, characterized in that, The normal operating condition heat load data includes heat load probability density distribution data; The sampling of the heat load data under normal operating conditions to obtain combined heat load data includes: Obtain the operating mode of the nuclear power plant; Obtain the heat load probability density distribution data corresponding to the operating mode based on the operating mode; The sampling method based on probability integral transformation samples the heat load according to the heat load probability density distribution data to obtain the heat load combination data.

4. The method for optimizing the operation configuration of a nuclear power plant's cold source system according to claim 2, characterized in that, The thermal-hydraulic analysis model includes a lumped parameter model and a computational fluid dynamics model; The step of inputting the heat load combination data, the operating configuration combination data, and the seawater temperature data into a thermal-hydraulic analysis model for analysis, to obtain the first performance index data of the cold source system under normal operating conditions, includes: The combined heat load data, the combined operating configuration data, and the seawater temperature data are input into the lumped parameter model and the computational fluid dynamics model to obtain the first performance index data of the cold source system under normal operating conditions at the seawater temperature.

5. The method for optimizing the operation configuration of a nuclear power plant's cold source system according to claim 1, characterized in that, The collected accident condition data of the nuclear power plant's cooling system under various operating modes include: Acquire operational mode and specific accident condition data; Based on the combination of the operating mode and the specific accident condition data, accident condition data of the nuclear power plant's cooling system under various operating modes are collected.

6. The method for optimizing the operation configuration of a nuclear power plant cold source system according to claim 5, characterized in that, The accident operating condition data includes accident operating condition heat load data and accident operating condition operation configuration data; The simulation analysis of accident condition data under various operating modes to determine the optimized operating configuration of the cold source system for accident conditions under various operating modes includes: The heat load data of the accident condition, the operation configuration data of the accident condition, and the seawater temperature data are input into the thermal-hydraulic analysis model for analysis to obtain the second performance index data of the cold source system for the accident condition. Determine whether the second performance index data of the cold source system for the accident condition meets the preset criteria for the accident condition. If it does, determine the operation configuration optimization result of the cold source system for the accident condition.

7. The method for optimizing the operation configuration of a nuclear power plant's cold source system according to claim 6, characterized in that, The final operation configuration optimization results for various operation modes, based on the operation configuration optimization results for normal operation conditions and the operation configuration optimization results for accident operation conditions, include: Based on the optimization results of the operation configuration for normal operating conditions and the optimization results of the operation configuration for accident operating conditions, the final optimization results of the operation configuration under a specific operating mode and a specific seawater temperature condition are determined.

8. An optimization system for the operation and configuration of a nuclear power plant's cooling source system, characterized in that, The device includes a processor and a memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method for optimizing the operating configuration of the nuclear power plant cold source system according to any one of claims 1 to 7.

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