33 results about "Thermodynamic system" patented technology

The invention provides a cogeneration unit peak regulation capability evaluation method, which comprises the following steps: firstly, constructing a thermodynamic system mathematical model, solving system coupling parameters under a deep peak regulation working condition through a multi-layer iterative loop architecture, and generating a multi-working-condition data set which covers a full working condition and meets physical consistency; secondly, deducing a linear qualitative relation equation of the power, the main steam flow and the heat supply steam extraction flow, preprocessing a data set, training a pure data driving model as a performance reference, introducing the linear qualitative relation equation as a physical constraint item into a loss function, and constructing and training a PINN; and finally, the rated boundary condition of the peak regulation capacity is determined, a thermal characteristic curve is obtained through PINN simulation, the peak regulation capacity range and the real-time peak regulation margin under different heat supply requirements are calculated, and the result is transmitted to a power system dispatching platform. According to the method, the all-working-condition peak regulation evaluation precision and reliability can be improved, and the flexibility and universality of the model are enhanced.

The invention discloses a thermodynamic system analysis method and system based on a physical information neural network. The method comprises the following steps: constructing a thermodynamic system mathematical model; converting a solving problem of the mathematical model of the thermodynamic system into an optimization problem taking a minimum control equation set residual error as a target function; constructing a physical information neural network; constructing a composite loss function based on the control equation set residual sum of squares, and performing end-to-end training on the physical information neural network to obtain a trained physical information neural network; taking the trained physical information neural network as an approximate solver, and for any given thermodynamic system input working condition, predicting a group of approximate solutions as initial predicted values through one-time forward propagation; and inputting the initial predicted value into a traditional numerical solver for accurate solving to obtain a to-be-solved state variable. According to the method, a feasible technical path is provided for applications with strict requirements on the analysis and calculation speed of the thermodynamic system, such as real-time simulation, online optimization and digital twinning.

The invention discloses an intelligent system for coding production equipment in the thermal industry, which belongs to the technical field of equipment intelligent monitoring, and comprises a data acquisition module deployed on thermal equipment, establishing a sensor network, acquiring static parameters of the equipment and acquiring operation data of the equipment in real time, the code generation module obtains basic information and feature vectors of the equipment according to static parameters and operation data of the equipment and generates or updates equipment codes, the health analysis module analyzes the equipment codes and achieves equipment fault prediction, service life evaluation and energy efficiency optimization, and the user interface module provides a visual interface and provides a user interface. A user is allowed to query an equipment code, receive an alarm and check an analysis report, so that the equipment code identifies the identity, reflects the real-time health level, realizes equipment fault prediction, life evaluation and energy efficiency optimization, reduces the risk of non-planned shutdown, avoids the situation that the equipment is difficult to position, so that the fault treatment is lack of reference, and shortens the fault response and maintenance time; the operation and maintenance efficiency of the thermodynamic system is improved.

The invention discloses an aero-engine fault diagnosis method based on a conditional physical perception diffusion model, and the method is characterized in that the method comprises the steps: obtaining a working condition monitoring parameter and a performance monitoring parameter in the operation process of an aero-engine; based on the thermodynamic system characteristics of the aero-engine, constructing a physical constraint system; a conditional physical perception diffusion model is constructed, noise addition and physical violation term injection are carried out in a physical perception forward process, and noise removal and physical violation term correction are respectively carried out through a noise prediction branch and a physical correction branch of a double-branch network by taking a fault type label as a condition in a reverse process. The double-branch network completes pre-training based on a physical constraint system; training the conditional physical perception diffusion model; based on the working condition monitoring parameters and the performance monitoring parameters, physical perception features are extracted through middle layer representation of the condition physical perception diffusion model, and fault diagnosis of the aero-engine is achieved through a fault diagnosis classifier.

The invention provides a thermodynamic system smart energy management method and platform based on reinforcement learning. The method comprises the steps that structural state vectors reflecting the thermodynamic coupling relation among a solar heat collector, an air source heat pump, a gas water heater and a water tank are constructed; generating a risk-driven hot water demand prediction sequence in combination with the historical water consumption behavior of the user and the heat supply capability of the current system; based on the prediction sequence and the structure state vector, scheduling actions including energy path selection and water tank target heating temperature are generated through a reinforcement learning strategy model, and energy consumption, temperature difference requirements, switching cost and path impedance are comprehensively considered in the scheduling process; and the scheduling action is converted into equipment control instruction execution, and the state is updated to form a closed loop. According to the invention, the prospective and adaptive scheduling of multi-energy cooperation is realized, and the economy, comfort and reliability of the system are improved.

The invention relates to a method for controlling a thermodynamic system with m supercharging stages, m ≥ 2, comprising a supercharging stage n including a turbine (Tn), an electric machine (EMGn), a compressor (Cn), and a combustion chamber (CCn) upstream of the turbine. The method includes control steps between controllable quantities specific to the supercharging stage (rotational speed (wn) of the electric machine, quantity of fuel injected (Qinjn) into the combustion chamber, position (VGTn) of a variable turbine geometry) and measurable quantities specific to the supercharging stage (temperature (Tchn) of the combustion chamber, pressure Pin-n downstream of the compressor, and pressure Pout-n upstream of the turbine) according to the relationships: fn, gn, and hn, depending on the sizing and positioning of the considered supercharging stage n, and n is between 2 and m. Figure 3

The invention discloses a turbine exhaust enthalpy measuring and calculating method based on a heat exchanger dynamic model. The turbine exhaust enthalpy is calculated by utilizing actual monitoring data of a unit; the method comprises the following steps of: solving regenerative steam extraction capacity and steam flow of a steam turbine at each stage in a superheated steam area by utilizing actual monitoring data in the superheated steam area of the steam turbine, and constructing a steam turbine stage group steady-state model, a condenser dynamic model and a low-pressure heater dynamic model in a wet steam area; and the regenerative steam extraction capacity of each stage and the steam flow of the turbine in the wet steam area are indirectly obtained. The exhaust enthalpy value of the steam turbine is indirectly measured and calculated through the model and actual monitoring data, the problem that in the prior art, the exhaust enthalpy value of the steam turbine cannot be obtained when last-stage steam extraction of the steam turbine is wet steam is solved, and a basis can be provided for safe and reliable operation of a steam turbine thermodynamic system.

The invention provides a multi-scene adaptive heat storage system and electric thermodynamic system integration method and device. The method comprises the following steps that a heat source side operation data sequence, a user side heat load demand sequence and thermophysical parameters of candidate heat storage media in a target application scene are obtained; constructing a source storage characteristic matching model based on a dynamic time warping algorithm to screen candidate heat storage media; constructing a physical topological structure of the integrated system; constructing a double-layer planning optimization model to carry out configuration and operation optimization on a physical topological structure of the integrated system; solving the bilayer programming optimization model by using an iterative algorithm, and outputting optimal heat storage capacity configuration parameters and a corresponding operation control strategy; and a heat storage system is built according to the optimal heat storage capacity configuration parameters, and the valve opening degree and flow distribution between the heat storage module and the heat source module are controlled according to the operation control strategy. According to the invention, deep fusion of the heat storage system and the electric thermodynamic system in physical characteristics and operation strategies is realized.

The application specifically relates to a simulation calculation method for a high-pressure heater split condition of a nuclear power unit, and belongs to the field of performance calculation and simulation of a secondary loop thermodynamic system of a nuclear power unit, and comprises the following steps: a mechanism model for performance calculation of the secondary loop thermodynamic system of the unit is established according to design condition data and normal operation condition data of the unit; a support vector regression model for prediction of key operation parameters of the secondary loop thermodynamic system of the unit is established and trained according to the normal operation condition data and high-pressure heater split condition data of the unit; and the mechanism model and the support vector regression model are fused to perform performance calculation of the secondary loop thermodynamic system of the unit after the high-pressure heater is split. The mechanism model and the support vector regression model are fused, and in the case that actual high-pressure heater split condition data is lacking, the accurate and rapid prediction of key operation states of the nuclear power unit after sudden splitting of one high-pressure heater of the nuclear power unit under normal operation conditions is realized.

The invention relates to the technical field of steam turbines, and discloses a thermodynamic system based on a wide pressurization module, the thermodynamic system comprises a boiler, a high-pressure cylinder, an intermediate-pressure cylinder, a low-pressure cylinder, a recovery mechanism and a generator, the boiler, the high-pressure cylinder, the intermediate-pressure cylinder, the low-pressure cylinder and the recovery mechanism are sequentially connected through pipelines; the recovery mechanism is connected with the boiler through a pipeline, and the low-pressure cylinder is connected with the generator; the boiler is further connected with a wide pressurizing module through a pipeline; according to the thermodynamic system in a normal operation mode, the wide-width pressurization module is in a non-operation state, and the boiler conveys steam to the high-pressure cylinder; according to the thermodynamic system in a peak regulation operation mode and in low-load operation, the wide-width pressurization module and the high-pressure cylinder are connected in series for operation, the boiler conveys steam to the wide-width pressurization module, and the wide-width pressurization module conveys steam to the high-pressure cylinder. According to the invention, the low-load operation efficiency is improved, and wide-load efficient operation is realized.

The present application relates to a kind of hybrid heat systems and its control method, system includes heat pump, gas furnace, heating terminal and water pump assembly;The water outlet of heat pump is provided with bypass water path between the water outlet of gas furnace, bypass water path is provided with first switch for controlling the on-off of bypass water path;In first mode, heat pump is opened heating function, bypass water path is conducted, the part of circulating water that is heated out by heat pump flows through gas furnace, another part flows through bypass water path, after the confluence of circulating water, it enters heating terminal, returns heat pump again;In second mode, only gas furnace is opened heating function, bypass water path is cut off, circulating water that is heated out by gas furnace flows through heating terminal, heat pump in turn after returning gas furnace;In third mode, heat pump and gas furnace are opened heating function, bypass water path is cut off, circulating water that is heated out by heat pump flows through gas furnace and is heated twice, circulating water after secondary heating flows through heating terminal and returns heat pump.

The invention discloses an intelligent regulation and control device and system for a multi-branch thermodynamic system, particularly relates to the technical field of heat supply systems, and is used for solving the problem of hydraulic congestion caused by the fact that a heat source output instruction exceeds the conveying capacity of a pipe section. A heat source output instruction and pipe network pressure and flow data are obtained through a data acquisition module, a state deduction module deduces the hydraulic transport capacity based on pipe network topology analysis and state change collaboration, and a topology recognition module constructs parameter space point cloud and recognizes conflicting pipe sections through topology data analysis. The risk early warning module analyzes the flow path change influence and identifies the hidden congestion risk pipe section, the instruction reconstruction module recalculates the heat source output instruction by combining the conflict and risk pipe sections, and the instruction issuing module issues a new instruction to realize the safe and stable operation of the system.

The invention provides a thermodynamic system regulation and control system and method based on real-time entropy production feedback and electronic equipment. Comprising a multi-source sensing and entropy production calculation terminal, a dynamic regulation and control quantity generation module and an execution module, and the real-time entropy production rate of each target subsystem is determined through multi-dimensional physical field data, collected in real time, of each target subsystem in the thermodynamic system; according to the preset target entropy yield of each target subsystem and the real-time entropy yield of each target subsystem, the entropy production change rate and the accumulated entropy production deviation of each target subsystem are determined through a differential link and an integral link in an adaptive gain PID control method; and obtaining the real-time regulation and control quantity of each target subsystem, dynamically adjusting the actuator parameters of each target subsystem according to the real-time regulation and control quantity of each target subsystem, and driving the real-time entropy yield of each target subsystem to return to the target entropy yield of each target subsystem.

The application discloses a kind of for the calculation method of energy in engine combustion process, comprising the following steps: according to actual working condition to determine reference environment and the thermodynamic state of system;Then check thermodynamic database and calculate the entropy and the chemical potential of initial time, and set initial solving step;According to combustion reaction path, combustion chemical reaction is classified;According to non-equilibrium thermodynamics method, four kinds of irreversible loss of combustion process, thermal mechanical and fuel are obtained by Chemkin to calculate the state parameter at time, and the entropy at this time is calculated according to thermodynamic database;The total loss in the classical thermodynamic method is calculated, and the total loss is verified reasonably.The application is based on open source Open FOAM platform, not only can meet the solving calculation of internal combustion engine combustion process, but also can be used for any existing chemical reaction thermodynamic system, and is suitable for different types of fuel.

The invention discloses a steam turbine double-path thermal power system and an operation method, and the steam turbine double-path thermal power system comprises at least one cylinder assembly which is connected with a conventional fluid path and a standby fluid path which are connected in parallel; the control unit is configured to selectively switch the conventional fluid path and the standby fluid path in response to the change of the working condition; wherein the backup fluid path is configured to, upon activation thereof, maintain the cylinder assembly in a ready state compatible with a thermodynamic state when the conventional fluid path is operating. By introducing standby fluid paths connected in parallel, when shutdown is needed, the steam turbine is switched from a conventional path to the standby path, steam with similar temperature is continuously conveyed to the cylinder assembly, and proper flowing and pressure conditions are maintained. When quick starting is needed, the system only needs to be switched from a standby path to a conventional path, the long heating process starting from a cold state in traditional starting is avoided, and original violent and discontinuous working condition switching is converted into mild and continuous thermal state transition.

The invention belongs to the technical field of nuclear power operation management, and particularly relates to a nuclear power conventional island thermodynamic system data correction method. The method includes the following steps that a nuclear power unit conventional island principle thermodynamic system diagram is used for disassembling the nuclear power unit conventional island principle thermodynamic system diagram; establishing constraint equations for the disassembled subsystems one by one; through topology analysis, physical quantities representing the same meaning in the disassembled system are combined; establishing a Jacobian matrix for column-by-column scanning analysis; constructing an optimization problem of a complete thermodynamic cycle system; and correction values of various parameters of the complete thermodynamic cycle system are obtained. The method has the beneficial effects that the conventional island thermodynamic system is disassembled into a plurality of subsystems, the correction value of the thermodynamic parameter of each subsystem can be stably obtained by utilizing the characteristic that the number of optimization variables of the subsystems is small, and the correction value is used as an iteration initial value for solving the complete thermodynamic cycle system optimization algorithm, so that the solving stability is effectively improved.

The invention discloses an automatic optimization and anti-freezing control method for a cold end system of a thermal power generating unit. According to the invention, remote real-time monitoring and control by operators can be realized. And then based on the actual operation condition of the unit of the Qingdong aluminum industry power generation limited company, combining with the environmental parameters of the power plant, establishing a whole-plant thermodynamic system simulation model of the direct air cooling unit, and carrying out deeper numerical simulation research on the variable working condition operation characteristics of the direct air cooling system of the power plant so as to develop a cold end automatic optimization control platform. The optimal operation mode of the cold-end system of the unit under different thermoelectric load and environmental conditions is obtained through the neural network model, so that real-time control and adjustment of cold-end system equipment such as a fan and a plugging and anti-freezing device are completed, and the unit can be controlled and adjusted in real time under the background of deep adjustment in winter. The anti-freezing measures can be automatically executed, adjusted and optimized according to the environment and operation conditions, the reliability of the system is improved, the operation safety of the unit is guaranteed, and good economic benefits and social benefits are achieved.

The invention relates to the technical field of thermodynamic system intelligent control, and discloses a boiler heat storage peak regulation optimization control method based on load prediction, and the method comprises the steps: firstly obtaining a probabilistic heat load prediction result in a future planning time domain; then based on a prediction result and a system physical model, an elastic state corridor of the charging state of the heat storage equipment is generated through robust optimization solution so as to deal with load uncertainty, then under the boundary constraint of the corridor, the system executes a real-time control strategy so as to maximize economic operation benefits, and finally, the control strategy is optimized. A strategy-model mismatch signal is calculated by monitoring the execution effect of a real-time control strategy, and when the signal exceeds a preset threshold value, online parameter identification and correction of a system physical model are triggered. According to the method, the problems of load uncertainty and long-term drifting of the model are solved by constructing the self-adaptive closed loop, and the economical efficiency and the self-adaptive capacity of long-term operation of the heat supply system are remarkably improved on the premise that the safety robustness of the heat supply system is ensured.

The invention relates to a method for controlling a thermodynamic system with m supercharging stages, m ≥ 2, comprising a supercharging stage n including a turbine (Tn), an electric machine (EMGn), a compressor (Cn), and a combustion chamber (CCn) upstream of the turbine. The method includes control steps between controllable quantities specific to the supercharging stage (rotational speed (wn) of the electric machine, quantity of fuel injected (Qinjn) into the combustion chamber, position (VGTn) of a variable turbine geometry) and measurable quantities specific to the supercharging stage (temperature (Tchn) of the combustion chamber, pressure Pin-n downstream of the compressor, and pressure Pout-n upstream of the turbine) according to the relationships: fn, gn, and hn, depending on the sizing and positioning of the considered supercharging stage n, and n is between 2 and m. Figure 3

The application discloses a supercritical carbon dioxide cycle system of a laser fusion reactor and a design method thereof, and is used for establishing a high-efficiency power cycle system suitable for a large temperature difference of a multi-heat source of a laser fusion reactor primary loop; the cycle system comprises a heat exchanger connected with heat sources of different temperature ranges, a turbine, a regenerator, a compressor and a cooling device; a high-temperature heat exchanger and a low-temperature heat exchanger are arranged respectively and used for leading out heat of a high-temperature lithium-lead alloy loop and a low-temperature supercritical carbon dioxide loop in the laser fusion reactor; the design method firstly establishes a multi-stage thermodynamic model based on thermodynamic system parameters and a specific configuration of the cycle system; then, the thermodynamic equations of each device are calculated to obtain a cycle system thermal efficiency and thermodynamic parameters of each device; finally, a particle swarm algorithm is used for optimization. The application provides two cycle systems suitable for a large temperature difference of a laser fusion reactor primary loop and a design method for realizing optimal system cycle thermal efficiency.

The application discloses a kind of intelligent prediction methods for trans-critical working medium thermophysical property suitable for property mutation characteristics, obtain the property-temperature data of target working medium under specified working pressure by standard property database, using piecewise linear regression variable point detection algorithm based on residual sum of squares dynamic monitoring, realize the identification of working medium property-temperature curve inflection point and the adaptive division of temperature interval, based on bayesian information criterion, the polynomial order optimization of each segmented interval is carried out to balance fitting accuracy and complexity, and continuity constraint is applied at the connection point of segmentation, to build globally continuous segmented polynomial function.The application can realize the whole process automation of trans-critical working medium property-temperature function modeling of "data acquisition-inflexion point identification-order optimization-function generation", effectively overcome the subjectivity and limitation of artificial experience segmentation, while ensuring the accuracy of model, avoid overfitting risk, provide reliable support for engineering simulation and thermodynamic system design under trans-critical condition.

The invention discloses a database question-answering method and device based on a thermodynamic system and a medium, and relates to the technical field of intelligent question-answering. The method comprises the steps that a natural language query question is received, and a target thermodynamic database is established based on metadata information of a thermodynamic industry knowledge base, an enterprise specification knowledge base and a target thermodynamic database; performing semantic analysis and intention understanding on the natural language query problem, generating a standardized query statement without hidden information, and determining at least one target data table associated with the standardized query statement; constructing an executable SQL query statement based on the standardized query statement and the target data table in combination with professional knowledge, SQL generation criteria and error-prone examples in an SQL generation rule base; and executing the executable SQL query statement to obtain an original query result from the target thermodynamic database, fusing the semantic information and the service context of the natural language query problem, and converting the original query result into a structured text reply which conforms to the understanding habit of the user to be output.

The invention discloses a thermal power generating unit all-condition real-time primary frequency modulation margin calculation method, which comprises the following steps of: obtaining a thermal power generating unit primary frequency modulation means according to a thermal power generating unit field key thermodynamic system configuration and an available principle; according to the fastest action time of a main steam valve, the maximum coal feeding rate of a coal mill and the water level of a deaerator, the total response amount and the response rate under different primary frequency modulation means are obtained, and the theoretical primary frequency modulation margin is obtained; the influence of the operation state, the operation condition and the real-time working condition of the thermal power generating unit on the theoretical primary frequency modulation margin is considered through the historical database, the historical response curve and the historical operation working condition, and then the full-working-condition real-time primary frequency modulation margin of the thermal power generating unit is obtained. The method can evaluate the primary frequency modulation capability of the thermal power generating unit in real time, and provides technical guidance for the frequency modulation service of the thermal power generating unit.

The invention discloses an electric heating interconnection system distribution collaborative scheduling method, system and device based on risk quantification and a storage medium, and belongs to the technical field of comprehensive energy system optimization scheduling. The method comprises the steps of obtaining electric heating interconnection system data; constructing a moment fuzzy set based on wind power historical data, and introducing distribution robust opportunity constraints to construct a centralized risk scheduling model; the distribution robust opportunity constraint is converted into a convex optimization problem through second-order cone programming to reconstruct a centralized risk scheduling model; decomposing the centralized risk scheduling model into a power system optimization problem and a thermodynamic system optimization problem by adopting an adaptive penalty coefficient alternating direction multiplier method, and iteratively solving the two optimization problems to obtain a distributed scheduling intermediate result; and calculating a risk index based on the distributed scheduling intermediate result, and if the risk index is not greater than a preset threshold, taking the distributed scheduling intermediate result as a final scheduling strategy. According to the method, the balance risk controllability and the scheduling economy are ensured, and the optimal output strategy of the unit is output.

The invention discloses a physical constraint mixer outlet temperature prediction method, system and device and a storage medium, and belongs to the technical field of industrial process modeling and intelligent prediction control. The method comprises the following steps: acquiring an input airflow parameter, an output airflow temperature parameter and an interference parameter of a controlled object; the theoretical output temperature is obtained through calculation and correction by means of the input airflow parameters and the interference parameters; performing statistical property analysis on the time sequence of the output airflow temperature parameters; performing multi-scale decomposition on the collected airflow related parameters according to a statistical characteristic analysis result to obtain a low-frequency trend component and a high-frequency disturbance component; and constructing a double-branch deep learning prediction model to process trend and disturbance characteristics respectively, introducing a theoretical output temperature as a physical constraint into the model, and outputting an outlet prediction temperature. According to the method, the mechanism model and data driving advantages are effectively fused, the prediction precision, robustness and generalization ability are remarkably improved, and the method is suitable for complex thermodynamic systems such as aero-engines and gas turbines.

The invention relates to a method for controlling a thermodynamic system having m supercharging stages, m>=2, including a supercharging stage n comprising a turbine (Tn), an electric machine (EMGn), a compressor (Cn) and a combustion chamber (CCn) upstream of the turbine, the method including steps of automatic control between controllable quantities specific to the supercharging stage (speed of rotation (ωn) of the electric machine, amount of fuel injected (Qinjn) into the combustion chamber, position (VGTn) of a variable geometry of the turbine) and measurable quantities specific to the supercharging stage (temperature (Tchn) of the combustion chamber, pressure P in-n downstream of the compressor and pressure Pout-n upstream of the turbine) according to the relations: a) Pin-n = fn(ωn); b) Pout-n = gn(VGTn); and c) Tchn = hn(Qinjn); fn, gn and hn depending on the dimensioning and positioning of the supercharging stage n in question, and n being between 2 and m.

The invention discloses an SEC-based air cooling island flushing system data processing method, and relates to the technical field of intelligent operation and maintenance of a power plant thermodynamic system, and the method comprises the steps: collecting data generated in the operation process of an air cooling island, calculating an original standardized energy consumption coefficient according to a thermodynamic parameter and a fluid parameter, and combining a current load rate, an environment temperature and the like, the method comprises the following steps: generating a normalized dynamic SEC reference value through a working condition normalization model, performing space-time alignment on the normalized dynamic SEC reference value and visual perception data, inputting the aligned value and visual perception data into a multi-modal representation learning network, outputting a high-dimensional enhanced SEC state vector, constructing a time sequence sample set based on a historical normalized dynamic SEC reference value and the high-dimensional enhanced SEC state vector, and obtaining a time sequence sample set; and inputting the time sequence sample set into a time sequence evolution prediction model, predicting a future SEC evolution trend, calculating comprehensive resource cost in combination with the SEC evolution trend, real-time electricity price information and the like, determining an optimal flushing execution moment and flushing parameters according to a minimization result, generating a flushing control instruction, and sending the flushing control instruction to a flushing execution platform.

The invention provides a coupling type flexible refrigerating system and a design method. A first thermodynamic system comprises a first condensation module and a first evaporation module; the second thermodynamic system comprises a first generation module, a second condensation module and a third condensation module; the first condensation module drives the first generation module to generate vaporization through condensation heat release; the first evaporation module drives the second condensation module to generate condensation through evaporation heat absorption, and a part of condensation heat in the second thermodynamic system is taken away through a first cooling medium; the third condensation module is connected to the downstream of the second condensation module in series, and residual condensation heat in the second thermodynamic system is taken away through a second cooling medium. The compression type heat pump system and the absorption / adsorption type refrigeration system can be effectively coupled, high-grade heat released in the condensation process of the compression type system serves as a heat source of the absorption system, energy gradient utilization between the compression type system and the absorption / adsorption type refrigeration system is achieved, and the time relation between refrigeration and cold supply is effectively decoupled.

The invention belongs to the technical field of power grid frequency analysis, and particularly relates to a once-through boiler frequency modulation simulation method and device considering heat distribution and storage characteristics. The method comprises the steps that the steady-state distribution condition of physical property parameters along the height of a hearth is calculated based on heat load distribution nonuniformity, and a dynamic heat exchange model is constructed; aiming at the dynamic heat exchange model, building a thermodynamic system dynamic simulation model of the boiler; based on a thermodynamic system dynamic simulation model, the method is embedded into a traditional primary frequency modulation model of a power system for simulation verification and comparison. According to the method, the boiler model is built by using the heat flow method, the mismatching relation between complex fluctuation and large delay of a power plant boiler thermodynamic system in power grid frequency modulation is revealed, and under the working condition of long-term power shortage or low load, the frequency modulation capability prediction precision is higher, and the prediction accuracy is higher. And optimization of a power grid frequency modulation scheduling instruction and stability control of the power grid frequency under high-proportion new energy grid connection are facilitated.