92 results about "Thermodynamic system" patented technology

The invention provides a dynamic adjustment method and system for steam extraction energy storage and heat release in a thermodynamic system, and relates to the technical field of energy consumption adjustment, and the method comprises the steps: obtaining multi-dimensional operation parameters of the thermodynamic system and heat consumption demand data of a user side, predicting a steam load state in a specific time period in the future, and dynamically dividing a load time period according to the predicted steam load state; on the basis of the divided load time periods, steam extraction energy storage and heat release operation is carried out in the corresponding load time periods according to the optimal operation strategies of all the time periods; and continuously optimizing the load prediction model according to the deviation data, based on the optimized load prediction model, integrating the real-time operation state of the thermodynamic system, the actual heat consumption condition of the user side and the energy market price information, constructing a multi-target optimization model, and adaptively adjusting the operation parameters of steam extraction energy storage and heat release by using the multi-target optimization model. And dynamic adjustment of steam extraction energy storage and heat release in the thermodynamic system is realized.

The invention relates to the technical field of steam turbine testing, in particular to a testing system for mismatch correction of a wide-load-interval thermal power generating unit speed regulation model, which comprises a thermodynamic system component, a speed regulation system device, a dynamic signal acquisition device and a control device, a dynamic signal processing module analyzes the relevance between main steam pressure sudden change and control valve opening oscillation in real time, a dynamic response database including a time sequence is constructed, and a control valve opening feed-forward compensation instruction and a combustor fuel distribution gradient adjustment signal are generated according to correction parameters. Power over-modulation wave crests caused by sudden load change are suppressed, and primary frequency modulation action delay is reduced; and the simulation verification module compares measured data with model output through an error feedback mechanism, dynamically adjusts high-pressure cylinder flow characteristic curve calibration parameters, optimizes a control strategy in combination with a network-related safety margin evaluation result, and realizes improvement of dynamic response precision in a full peak regulation interval and enhancement of power grid frequency stability.

The invention provides a normal-temperature fusion target assembly, a laser fusion reactor system and a laser fusion power generation method.The fusion target assembly comprises a pair of coaxial compression cones with opposite cone tops, the compression cones are filled with normal-temperature boron deuteride lithium spherical crown targets, the fusion target assembly further comprises an ignition cone, and the cone tip end of the ignition cone is sleeved with a magnetic field coil; according to the light fusion power generation method, a spherical crown target is driven by compressed laser to generate centripetal implosion, high-density isometric plasma with a steep edge is formed near the sphere center in a collision mode, and tritium production reaction and fusion ignition combustion are generated by the collision plasma under driving of ignition laser. Energy released by high repetition frequency fusion is converted into electric energy which is stably output by a thermodynamic system; the invention further provides a laser nuclear fusion reactor system which is high in repetition frequency, low in cost and low in radioactivity.

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 transcritical working medium thermophysical property intelligent prediction method suitable for physical property mutation characteristics, and the method comprises the steps: obtaining the physical property-temperature data of a target working medium under a specified working pressure through a standard physical property database, and employing a piecewise linear regression change point detection algorithm based on residual sum of squares and dynamic monitoring; recognition of inflection points of a working medium physical property-temperature curve and self-adaptive division of temperature intervals are achieved, polynomial order optimization is carried out on each segmented interval based on a Bayesian information criterion to balance fitting precision and complexity, continuity constraints at segmented connection points are applied, and a globally continuous segmented polynomial function is constructed. According to the method, the full-process automatic transcritical working medium physical property-temperature function modeling of data acquisition-inflection point identification-order optimization-function generation can be realized, the subjectivity and limitation of artificial experience segmentation are effectively overcome, and the over-fitting risk is avoided while the model precision is ensured; and reliable support is provided for engineering simulation and thermodynamic system design under the transcritical working condition.

The invention relates to a method for improving the power supply capacity of a cluster wind power and thermodynamic system in cold-wave weather, which belongs to the technical field of power system operation scheduling, and comprises the following steps: constructing an electrothermal coupling system model, considering the operation cost of each device of the system, and forming a comprehensive cost minimization objective function; considering the operation characteristics of the wind power plant under cold waves, introducing external reserve, and establishing a system safe operation constraint system; a Wasserstein distance is adopted to construct a fuzzy set, a probability distribution spherical set driven by sample data is utilized to describe the uncertainty of wind power prediction errors, a model is reconstructed, and a distribution robust optimization model is established; converting an inner-layer extreme value problem into a single-layer optimization problem by applying a duality theory, performing convex approximation processing on opportunity constraints in combination with a conditional value-at-risk theory, and constructing a solvable linear programming model; and designing a dynamic confidence level, and balancing system operation cost and power supply reliability in cold-wave weather by optimizing and coordinating economy and system risks.

The invention provides a coupled refrigeration and cold supply decoupling system and a design method, and the system comprises a first thermodynamic system which comprises a first condensation module and a first evaporation module; the second thermodynamic system comprises a first generation module and a second condensation module; the first generation module and the first condensation module are subjected to non-substance exchange energy coupling, the first condensation module drives the first generation module to generate vaporization through condensation heat release, and the second condensation module and the first evaporation module are subjected to non-substance exchange energy coupling; the first evaporation module drives the second condensation module to generate condensation through evaporation heat absorption. The coupling type refrigeration and cold supply decoupling system can effectively couple the compression type heat pump system and the absorption / adsorption type refrigeration system, high-grade heat released in the condensation process of the compression type system is used as a heat source of the absorption system, and energy gradient utilization between the compression type system and the absorption system is achieved; and the time relation between refrigeration and cold supply is effectively decoupled.

The invention discloses an intelligent coordination control system and method based on a secondary reheat unit, and belongs to the technical field of energy, and the method comprises the steps: collecting boiler and steam turbine operation data through a sensor, carrying out the preprocessing, combining a thermodynamic system physical mechanism with an ST-Attention-LSTM model, constructing a mechanism-data dual-drive thermodynamic system dynamic response prediction model, and carrying out the prediction of the dynamic response of the thermodynamic system. Multivariable prediction is achieved, and initial values of control parameters are set; using K-means clustering to classify system disturbance, calculating a weighted compensation amount, and obtaining a corrected control parameter through feedback correction; a rolling optimization algorithm is used for dynamically adjusting control parameters, and a working condition-rule mapping updating mechanism and a water quality prediction model are combined to adjust a water supply flow set value through self-adaptive fuzzy control; a coal yard is managed through unattended operation and real-time coal inventory, automatic repairing, starting, stopping and alarming mechanisms are set, carbon emission is monitored, and an optimization strategy is formulated; the unit operation efficiency can be improved, the energy consumption can be reduced, and the system stability and response speed can be 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 provides a method and device for constructing a dynamic model of a thermodynamic system, and the method comprises the steps: determining a process frequency domain topology linear constraint and a frequency response function characteristic of a part based on the heat transfer, transportation and conversion process of a heat exchanger and related parts, and constructing a frequency domain heat flow model; constructing a frequency domain equivalent heat flow model based on the frequency domain heat flow model and the topological connection relationship between the components, and establishing an overall heat flow model control equation set by using the Kirchhoff's law; based on the working medium flowing process of the heat exchanger and related parts, the function relation between the pressure change and the mass flow of the working medium after the working medium flows through all power and / or resistance parts is determined, and a power resistance balance equation set of the working medium flowing process is established; the coupling relation between the working medium flow process and the heat transfer, transportation and conversion process is analyzed, a constraint equation set between the working medium pressure and the temperature is established, and a frequency domain overall model for dynamic analysis of the thermodynamic system provides powerful support for performance analysis and regulation and control of the dynamic process of the complex thermodynamic system.

The invention belongs to the technical field of icebreaker thermodynamic systems, and particularly relates to a virtual-real fusion test method of an icebreaker thermodynamic system for polar complex working conditions, which comprises the following steps: S1, building a real object experiment system of the icebreaker thermodynamic system; s2, based on a mechanism model principle, constructing a virtual system of a thermodynamic system of the icebreaker; s3, performing a physical experiment under the typical working condition of the polar region by using a physical experiment system; performing a simulation experiment of the virtual system by using the same typical working conditions of the polar region; the virtual system is corrected based on the experimental data; s4, using the corrected virtual system to perform a simulation experiment of the polar region complex working condition to obtain corresponding simulation experiment data; and S5, carrying out design optimization and control strategy optimization on the thermodynamic system of the icebreaker by using the simulation data and the experiment data obtained in the S3 and the S4. According to the method, the dynamic characteristics of the system can be clearly revealed, the modeling accuracy is improved, the limitation of experimental tests is overcome, and an effective auxiliary means for system design optimization is provided.

The present disclosure relates to a computer-implemented method (100) at a processing unit (11, 203) for determining one or more optimization parameters in order to optimize the operation of a thermodynamic system (1) of a liquefied natural gas, LNG, plant. The present disclosure also relates to server (200) for providing cloud computing services that is remotely located with respect to a thermodynamic system (1) and which comprises a processing unit (203) for determining one or more optimization parameters in order to optimize the operation of a thermodynamic system (1) of the LNG plant.

The invention relates to a gas thermodynamic analysis method, system and equipment for a hydrogen energy automobile power device and a medium. The method comprises the following steps: S1, describing behaviors of high-pressure hydrogen gas in the hydrogen energy automobile power device by adopting an R-K real gas state equation; s2, dividing a system into a fixed-volume opening system, a variable-volume opening system and a variable-volume closed system according to whether a thermodynamic system to which high-pressure gas in the hydrogen energy automobile power device belongs exchanges substances and energy with the outside or not and whether the volume is fixed or not; s3, thermodynamic models of the three systems under the adiabatic condition and the convective heat transfer condition are calculated respectively; and S4, obtaining the temperature distribution rule of the high-pressure gas in the hydrogen energy automobile power device through the thermodynamic model under the adiabatic condition and the convective heat transfer condition, and completing the thermodynamic analysis of the high-pressure gas in the hydrogen energy automobile power device. Compared with the prior art, the thermodynamic analysis precision of the high-pressure gas in the hydrogen energy automobile power device is improved, and the application range is expanded.

The invention provides a semi-physical simulation test method, device and equipment for a wind-heat-electricity linkage system and a storage medium. The method comprises the steps that a wind generating set virtual model is built through Bladed software, and a thermodynamic system virtual response model is built; a wind-heat-electricity linkage control strategy is implanted into the PLC, and a corresponding control signal is transmitted to the PLC; fan and thermal control signals are transmitted to the Bladed hardware test module through a PLC communication interface based on a PLC private protocol of a TCP; through the Bladed hardware test module, a fan control signal is transmitted to the wind generating set virtual model, and a thermodynamic control signal is transmitted to the thermodynamic system virtual response model; different wind conditions are given in the virtual model of the wind generating set, so that the wind-heat-electricity linkage system is subjected to real-time simulation operation, and simulation test results under the different wind conditions are obtained. According to the invention, real-time simulation testing of different working conditions of the wind-heat-electricity linkage system is realized.

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 application discloses a kind of MSR secondary reheat extraction flow optimization methods of nuclear power unit based on NSGA-II, by establishing nuclear power unit conventional island thermodynamic system model, with secondary reheat extraction flow as design variable, with secondary reheat steam end difference and electric power as optimization goal optimization, to give the secondary reheat extraction flow of electric power most close to rated electric power and secondary reheat steam end difference most close to design end difference.This application has the advantages that: with secondary reheat extraction flow as design variable optimization, compared with the existing research focuses on reheat steam pressure, temperature and other design parameters optimization, directly controllable, easy for unit operation personnel to adjust unit operating condition.

The invention relates to an efficient operation coal power unit thermodynamic system and an efficient operation coal power unit thermodynamic system control method. The coal power unit thermodynamic system capable of operating efficiently comprises a first low-pressure cylinder group and a second low-pressure cylinder group which are connected in parallel; the first cylinder group steam admission amount of the first low-pressure cylinder group and the second cylinder group steam admission amount of the second low-pressure cylinder group are set according to a preset proportion, and the sum of the first cylinder group steam admission amount and the second cylinder group steam admission amount meets the rated working condition use requirement of the thermodynamic system; a first cylinder group steam inlet of the first low-pressure cylinder group is connected with a medium-pressure steam transmission pipeline of the thermodynamic system of the coal power unit in efficient operation through a first medium-pressure steam transmission branch; a second cylinder group steam inlet of the second low-pressure cylinder group is connected with the medium-pressure steam transmission pipeline through a second medium-pressure steam transmission branch; a first valve is arranged on the first medium-pressure steam transmission branch and used for adjusting a first steam inlet parameter of the first low-pressure cylinder set. By the adoption of the thermodynamic system, the wide-load efficiency of the whole unit can be 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 discloses a protection device for a thermal system of a power plant, and relates to the technical field of protection devices. The number of the arc-shaped protective shells is two, four corresponding connecting columns are fixed to the front side of the arc-shaped protective shell on the rear side, four corresponding connecting holes are formed in the left edge and the right edge of the arc-shaped protective shell on the front side, and the connecting columns are clamped into the corresponding connecting holes. The device comprises two arc-shaped protective shells, wrapping assemblies and uniformly distributed fastening assemblies are installed in the two arc-shaped protective shells, the fastening assemblies are matched with the wrapping assemblies, moving assemblies and extrusion assemblies are installed on the surfaces of the arc-shaped protective shells, the moving assemblies are connected with the extrusion assemblies, and the two extrusion assemblies are connected with all the fastening assemblies correspondingly. And the fixing assembly comprises a fixing strip, a sliding block, a clamping column and a first spring, the replacement frequency can be reduced, and meanwhile rapid disassembly can be achieved.

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 invention provides a steam turbine thermodynamic system based on state reconstruction, a design method and an operation method.The thermodynamic system comprises at least one first acting cylinder body and at least one second acting cylinder body, and one first acting cylinder body and one corresponding second acting cylinder body form a reconstruction cylinder set; the reconstruction cylinder group is configured to control one acting cylinder body to be coupled into the thermal acting shaft system and the other acting cylinder body to be decoupled from the thermal acting shaft system based on a load working condition factor; by monitoring and controlling the load working condition factors, the acting cylinder body more suitable for the current load working condition is coupled into the thermal acting shaft system to play a better thermal effect, and the acting cylinder body not suitable for the current load working condition is decoupled from the thermal acting shaft system to realize more flexible load management and thermal efficiency optimization.

The thermodynamic system capable of intelligently controlling the water level comprises a heat source, the heat source is a gas-fired boiler, the gas-fired boiler comprises a hearth and a water tank, gas burns in the hearth to heat water in the water tank, a water outlet of the water tank is communicated with an inlet of a heat source main path, and a water return opening of the water tank is communicated with an outlet of the heat source main path; the water tank inlet pipeline is provided with a pumping device for conveying water; a gas valve is arranged on a gas pipeline for conveying gas, and an air valve is arranged on an air pipeline for conveying air to support combustion; a water level sensor is arranged in the water tank, the water level sensor and the pumping device are in data connection with a controller, and the controller automatically controls the power of the pumping device according to the measured water level in the tank body. On one hand, damage to the water tank and safety accidents caused by the too low water level are avoided, on the other hand, too large water volume caused by the too high water level is avoided, and intelligent control over the water level is achieved.

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 provides a thermodynamic system combined cycle online operation optimization method and device based on a decomposition algorithm. The method comprises the following steps: constructing a dynamic numerical model of a thermodynamic system; constructing a thermodynamic system operation optimization problem based on the thermodynamic system dynamic numerical model; decomposing a thermodynamic system operation optimization problem into a nonlinear programming sub-problem and a linear programming main problem; alternately and iteratively solving the nonlinear programming sub-problem and the linear programming main problem until convergence, and obtaining an optimal decision variable of the current optimization round; and operating the optimal decision variable and other operating parameters of the thermodynamic system under the optimal decision variable, and performing the next round of optimization in a rolling optimization mode. According to the method, the optimal decision variable of the operation optimization problem of the thermodynamic system is solved through a decomposition algorithm, the optimization calculation efficiency is improved while the model precision is ensured, the optimization calculation result is obtained in the time scale of the system operation working condition, online optimization under the time-varying boundary condition is achieved, and the optimization efficiency is improved. Therefore, the safety and the stability of the thermodynamic system are improved.

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.