2512 results about "Heat supply" patented technology

The invention discloses a dynamic load adaptive charging pile liquid cooling control method, relates to the technical field of thermal management, and solves the problems of temperature prediction deviation, local hot spot leak detection and protective supercooling caused by a simplified thermal model based on fixed parameters and key temperature points under rapid load fluctuation. Parameterization time-varying heat supply network parallel multi-rate observation is constructed, a heat exchange coefficient and node heat capacity are identified and calibrated through recursion with physical constraints, transmission time delay is merged into an extended state in an explicit mode, short-window high-frequency sampling and local temperature field reconstruction are triggered based on residual errors, and the time-varying heat supply network parallel multi-rate observation is achieved. A control sequence is issued in parallel by adopting hierarchical rolling type control with a second-order moment uncertainty constraint; based on the scheme, the short-term temperature field prediction precision and the local hot spot identification capability are improved, and the cooling resource directional utilization efficiency and the charging system operation continuity are remarkably improved.

The multi-energy complementary heat supply system comprises an external basic heat source, a middle-grade synergistic heat source, a high-grade energy storage heat source, an intelligent heating power mixing center and a central controller, and the intelligent heating power mixing center is used for heating heat source equipment of all levels and operation instructions of associated assemblies according to the operation instructions of the heat source equipment of all the levels and the operation instructions of the associated assemblies. Heat energy of different grades is mixed and allocated, and heat loads meeting the grade requirements of heat consumers are output to the heat consumers; the central controller is used for establishing a multi-target optimization model taking the minimum total operation cost of the system as a core target based on the electricity price prediction data and the different-grade thermal load prediction data, solving the multi-target optimization model and generating a system operation strategy under the condition that preset basic guarantee logic, economic operation logic and peak response and power grid interaction logic are met; and the generated system operation strategy is converted into an operation instruction for the heat source equipment of each level and the associated assembly, so that the reliability and the adaptability of operation control of the heat supply system are effectively improved.

The invention provides a heat supply digital twinborn intelligent regulation and control method, and relates to the technical field of intelligent regulation and control, and the method comprises the steps: executing millisecond-level high-concurrency numerical simulation according to a dynamic digital twinborn body, so as to obtain a simulation result; based on the simulation result, coupling the electricity price fluctuation data and the weather prediction data, performing future heat supply system multi-working-condition deduction, and dynamically optimizing a heat source unit start-stop combination and pipe network valve opening strategy to obtain a deduction result and an optimization strategy; generating an equipment regulation and control instruction set according to the deduction result and the optimization strategy; and an equipment regulation and control instruction set is issued to an edge computing node, a variable-frequency circulating pump and an electric control valve executing mechanism are controlled, and dynamic closed-loop regulation of the flow and the pressure of the heat supply pipe network is achieved. According to the invention, the pipe network flow and pressure regulation response time can be shortened to a second level.

The invention relates to the technical field of data processing, and discloses a heat supply network heat supply system control method based on a prediction model, and the method comprises the steps: S1, collecting historical operation data and real-time operation data of a heat supply network heat supply system, S2, carrying out the preprocessing of the historical operation data and the real-time operation data, and generating a standardized heat supply data set; by constructing a prediction model based on historical data and real-time data, the thermal load demand change in a future time period can be dynamically predicted, the problem of adjustment lag caused by dependence on a static model in a traditional control method is solved, the response ability of a heat supply system to extreme weather and user demand sudden change is improved, and the heat supply efficiency is improved. The stability and reliability of heat supply quality are guaranteed, the time hysteresis between a regulation and control instruction and the actual heat supply effect is reduced by analyzing the heat transmission characteristic and the delay effect of each node of the pipe network in real time, the phenomena of insufficient heat supply and energy waste caused by untimely regulation of the system are avoided, and the energy consumption is reduced. And the operation efficiency and the energy utilization rate of the heat supply system are improved.

The invention relates to the technical field of heat supply control, in particular to a heat supply secondary network branch line intelligent hydraulic equilibrium method and device, a medium and a product. The method comprises the following steps: constructing a branch topological graph of a heat supply secondary network in a target heat supply area; the environment temperature is obtained in real time, the heat supply station is controlled to supply heat to each heating single body in the target heat supply area based on the dynamic flow control strategy, and the node flow and the node temperature of each node in the branch topological graph are collected; constructing a branch heat supply loss model of the branch topological graph based on the environment temperature, the node flow and the node temperature; the monomer temperature and heat supply backflow data of each heating monomer are obtained, and a monomer heating model is constructed for each heating monomer based on the environment temperature, the monomer temperature and the heat supply backflow data; and determining a flow regulation and control strategy based on the monomer heating model and the branch line heat supply loss model, and adjusting the monomer heat supply flow of the heat supply secondary network based on the flow regulation and control strategy. According to the method, heat supply hydraulic balance can be achieved through precise flow regulation and control precision.

The invention provides a centralized heating method and system based on room temperature feedback regulation, and the method comprises the steps: collecting and verifying real-time room temperature data, and generating a room temperature feedback signal; the signals are transmitted to a central control unit for sequential processing, and a temperature-time two-dimensional data matrix is generated; a preset dynamic compensation algorithm is used for calculating a heat demand correction value of each heat supply pipe network key node; the heat supply pipeline flow is dynamically adjusted according to the correction value; and verifying the effect through a closed-loop feedback mechanism and optimizing algorithm parameters. According to the method, a network is constructed to realize multi-node synchronous acquisition and verification, and heat distribution heterogeneity and fluctuation characteristics are captured in combination with matrix processing and interpolation completion. Compared with a traditional single-point sensor, according to the scheme, through two-dimensional mapping and anomaly detection, the adjustment response time is shortened to the sampling period level, the temperature deviation calculation precision is improved to + / -0.1 DEG C level, the overheating-underheating alternating phenomenon is solved, and accurate dynamic matching of the heat demand correction value is achieved.

The invention discloses a heat pump waste heat recovery cooperative heat supply method and system, and relates to the technical field of intelligent heat supply control, and the method comprises the steps: collecting environment data and heat pump operation data through a sensor, and carrying out the data preprocessing; modeling the operation state of the heat pump system by using a gradient lifting tree algorithm, constructing a heat pump load prediction model, and outputting load prediction; in combination with the load prediction result and the heat pump operation data, a collaborative heat supply strategy is obtained through an optimization algorithm; and waste heat recovery scheduling is carried out according to the load prediction result and the current waste heat recovery condition. According to the method, the accuracy and the real-time performance of load prediction can be remarkably improved, heat source configuration and heat supply requirements are highly matched, the waste heat utilization rate is improved to the maximum extent, power consumption is reduced, meanwhile, the indoor comfort degree and the system operation stability are guaranteed, finally, the operation cost is remarkably reduced, and the service life of equipment is prolonged.

The invention provides a coal mine multi-source waste heat intelligent utilization system and method based on cross-seasonal heat storage, and relates to the technical field of coal mine waste heat utilization, and the system comprises the steps that a heat prediction module monitors and obtains a plurality of historical redundant heat sequences of a plurality of coal mine waste heat sources, and carries out heat prediction in a preset time window; a heat supply demand prediction module reads the heat use characteristic sequence and the associated heat use characteristic sequence and performs heat supply demand prediction; a heat storage scheme optimization module performs heat storage scheme optimization and outputs an optimal heat storage proportion sequence by taking a heat supply quantity sequence meeting a predicted demand as a conditional constraint, taking the maximum capacity of heat storage equipment as an equipment constraint and taking the minimum heat loss as a target; and the heat storage management and control module executes heat storage management and control in a preset time window according to the optimal heat storage proportion sequence. The technical problem that in the prior art, waste heat cannot be effectively stored can be solved, the technical target of intelligent regulation and control system construction is achieved, and the technical effect of improving the waste heat utilization efficiency is achieved.

The invention discloses a high-pressure combustion combined heat and power generation energy storage system and method for hydrogen and oxygen production through electrolysis, and relates to the field of hydrogen energy storage. After the electrolytic cell produces high-pressure hydrogen and oxygen, the high-pressure hydrogen and oxygen are stored in the hydrogen / oxygen storage tank, the system can operate in a hydrogen / oxygen mode, and in the oxygen mode operation, the hydrogen and oxygen steam mixed gas from the oxygen storage tank and the hydrogen / oxygen evaporation compressor are combusted in the high-pressure combustion chamber to generate superheated steam, and then the superheated steam enters the expansion turbine to do work; due to excessive oxygen, dead steam after acting is separated into two working media through a gas-liquid separator, that is, gas enters a cooler to be cooled and then returns to a combustion chamber through a hydrogen / oxygen evaporation compressor, drainage water generated after liquid enters a heat supply heat exchanger is pressurized through a water pump and then enters a high-temperature combustion chamber, and therefore clean utilization of hydrogen energy and cyclic regeneration of the working media are achieved. The system can realize high power generation efficiency and excellent environmental protection performance, and is suitable for regions requiring stable consumption of fluctuating renewable energy sources, power and heat supply and the like.

The invention relates to the field of uranium concentration, and discloses an energy-saving device and method for drying a first-batch centrifugal unit. According to the device, an inlet of a centrifugal machine is connected with an outlet of an evaporator through a pipeline provided with a fourth cooling valve and an eighth cooling valve and is connected to the secondary side of a cooling plate heat exchanger and the secondary side of a heating plate heat exchanger respectively; an outlet of the centrifugal machine is connected with an inlet of the evaporator through a sixth cold valve, a first cold valve and a second water pump. An inlet of the sixth cold valve is connected with the secondary side of the heat supply plate heat exchanger through a first water pump. The primary side of the cold supply plate heat exchanger is connected with a newly-built cooling tower loop, and the primary side of the heat supply plate heat exchanger, the condenser and the newly-built cooling tower form circulation. By optimizing system connection and a heat energy circulation path, the energy utilization efficiency and the equipment utilization rate are effectively improved, and the investment and operation cost is remarkably reduced.

The utility model provides a peak-shaving steam supply system for deep waste heat utilization of a thermoelectric unit, which deeply recovers cold end waste heat and flue gas waste heat of a cogeneration unit, is coupled with a two-stage compression heat pump, extracts waste heat to heat demineralized water, and serves as a primary heat source for supplying industrial steam, so that the waste heat participates in external heat supply; the superheater utilizes the generating capacity of the unit to enable industrial steam to reach steam supply parameters, the waste heat of the unit and the generating capacity are combined for external steam supply, the circulating heat efficiency is improved, the steam supply capacity is improved, meanwhile, the on-grid electricity is reduced, thermoelectric decoupling is achieved, the unit adjusting operation interval is expanded, the operation cost and pollutant emission are reduced, and peak regulation or spot transaction earnings are improved. And a clean, low-carbon, flexible, efficient, economical and energy-saving combined heat and power generation system is constructed.

The invention relates to the field of heavy water production, and discloses a compression cycle heat supply heavy water rectification process which comprises the following steps: 1, carrying out primary rectification on feed water; 2, condensing tower top steam by a first-stage cooler to obtain tower top produced liquid, enabling one part of the produced liquid to flow back to a first-stage rectifying tower, discharging the other part of the produced liquid, pressurizing and heating a working medium heated by the first-stage cooler by a compressor, and feeding the working medium into a first-stage reboiler; 3, feeding one part of deuterium-enriched water of the tower kettle into a first-stage reboiler, boiling, returning to the bottom of the rectifying tower, taking the rest part as feed water for next-stage rectification, and returning a working medium cooled by the first-stage reboiler into a first-stage cooler through a first-stage expansion valve to be heated and evaporated; and 4, performing N-stage rectification and purification until the heavy water meets the purity requirement. By utilizing the characteristics that the boiling difference between water and heavy water is extremely small and the condensation heat of the tower kettle is equivalent to the heat source required by the tower kettle, the condensation heat of tower top steam is transferred to the tower kettle through the circulating working medium, the energy consumption is greatly reduced, and a large amount of heat sources can be provided for the system by a small amount of power consumption of the compressor.

A gas and steam power generation afterburning type heat-electricity decoupling system and a working mechanism thereof, characterized in that the system comprises a gas turbine power generation system, a power transmission and transformation system, a molten salt heat storage system and a steam power generation system; the gas turbine power generation system is connected with the molten salt heat storage system through a flue gas pipeline; the molten salt heat storage system is connected with the power transmission and transformation system through a cable; the gas turbine power generation system is connected with the power transmission and transformation system through a cable; the molten salt heat storage system is connected with the steam power generation system through a main steam pipeline and a backwater pipeline; and the steam power generation system is connected with the power transmission and transformation system through a cable. The system can realize complete heat-electricity decoupling in a green energy storage system, realize the functions of self-supply of external power, storage of green electricity or heat supply, increase the accommodation capacity of a power grid to green electricity, and enhance the stability, flexibility and safety of a new power system.

The invention relates to the technical field of heat meter performance test and operation and maintenance management, in particular to a heat supply working condition multi-source parameter real-time acquisition heat meter performance intelligent analysis system, which comprises a working condition simulation subsystem, a multi-source parameter real-time acquisition module, an intelligent analysis engine and data management and visual interaction interface, and a digital twinning virtual calibration module. Multi-dimensional variable working conditions are constructed through the working condition simulation subsystem, the acquisition module realizes high-precision synchronous acquisition, the intelligent analysis engine integrates multiple algorithms to complete data fusion, performance prediction, health degree evaluation and fault early warning, and the data management module realizes whole-process closed-loop management. The heat meter test accuracy and the working condition coverage are improved, intelligent analysis and accurate calibration are achieved, the operation and maintenance cost is reduced, and stable and efficient operation of a heat supply system is guaranteed.

The invention belongs to the technical field of heat supply systems, and discloses a regional heat supply system optimization control method for multi-heat-source networking operation. The method comprises the steps that S1, physical entity data, hydraulic working condition data and temperature data in a regional heat supply pipe network are collected in real time, an adjacent matrix is constructed according to the actual connection relation of the physical entity data, and a digital network architecture is formed; s2, dividing the digital network architecture into a plurality of sub-architectures based on an improved GN algorithm, and establishing a state space model for each sub-architecture; and S3, constructing a rapid simulation model based on the state space model, and continuously fusing each physical entity data and a preset deviation range through a physical information neural network. According to the method, the thermal state change caused by hydraulic adjustment and the reaction of the thermal change on the hydraulic resistance characteristic can be captured in real time, meanwhile, all physical entity data and hydraulic working conditions are processed in a unified mode, and deviation caused by decoupling simplification in a traditional method is reduced.

The invention relates to a heat supply prediction method and system based on spatial-temporal feature fusion deep learning, and the method comprises the following steps: S1, carrying out the collection and fusion of multi-source heterogeneous data, and constructing an integrated data set; s2, preprocessing the data; s3, constructing a graph structure model of the heat supply system, and constructing a weighted undirected graph; s4, constructing and executing forward calculation of the space-time double-flow deep network; s5, designing a composite loss function including mean square error loss and physical constraint loss, and performing joint optimization training on the space-time double-flow deep network; and S6, performing multi-step heat supply load prediction by using the trained model, outputting a heat supply load curve of each heat exchange station in a specified time period in the future, and integrating a prediction result with a heat supply scheduling system. The method has the advantages that the prediction precision is improved compared with that of a traditional machine learning model by capturing the spatial-temporal characteristics at the same time, and the advantages are more remarkable in extreme weather.

The application discloses a supplemental combustion type flue gas molten salt heat exchanger and a working mechanism thereof, characterized in that: a supplemental combustion device is added in the upstream of a flue gas molten salt heat exchanger, the supplemental combustion device is connected with the flue gas molten salt heat exchanger through a flue, and a supplemental combustion type flue gas molten salt heat exchange integrated device is formed; the device comprises a supplemental combustion device or a supplemental combustion device, and a first-stage flue gas molten salt heat exchange component. The application can realize the functions of more uniform and efficient supplemental combustion heat transfer in the flue gas, realize a safer ignition mode of the supplemental combustion gas or the mixed body of the atomized supplemental combustion gas and liquid (or gas powder) outside the flue, realize the function of more convenient monitoring of the supplemental combustion, realize the complete decoupling of heat and electricity in the combustion engine power generation heat supply energy storage system, and realize the functions of self-supply of external power, heat storage or heat supply of the system.

The invention provides a heat pump non-stop defrosting control method and system based on double-evaporator cooperative control, and the method comprises the steps: building a temperature difference response change rate index by collecting the refrigerant inlet and outlet temperatures of two groups of fin heat exchangers in real time, and recognizing a side needing to be defrosted and a heating side; an electronic expansion valve, a fan and an electromagnetic valve are dynamically configured, so that the side needing to be defrosted enters a static defrosting mode, and the heating side continuously supplies heat; the frequency rising of the compressor and the switching of the four-way valve are cooperatively adjusted, and small-flow pre-balancing is executed before reversing so as to restrain pressure impact; and after defrosting is completed, it is judged that defrosting is finished based on the thermal response state and the heat change trend, the side needing defrosting is controlled to be reset, and heating is started again. Uninterrupted heat supply of the user side in the defrosting process is achieved, water temperature fluctuation and energy consumption are remarkably reduced, and the operation stability and energy efficiency of the heat pump in the low-temperature and high-humidity environment are improved.

The invention provides a heat supply method and system utilizing waste heat resources and a control device, and relates to the field of heat exchange. According to the heat utilization required temperature and the grade and temperature of the waste heat return water, when the waste heat return water does not meet the heat utilization required temperature, the heat pump unit is started to heat the waste heat return water and then provide the waste heat return water for heat utilization equipment for use, and water flow on the evaporation side of the heat pump unit exchanges heat with dead steam; therefore, various waste heat resources of different grades and different forms are cooperatively utilized, and the utilization efficiency of energy is improved.

The invention discloses a heat exchange station intelligent heat supply system, and relates to the field of heat exchange station intelligent heat supply, and the system comprises a stable heat supply module which is used for obtaining a preset target value for maintaining the total water supply temperature of a secondary network, and dynamically adjusting the total water supply temperature of the secondary network through a PID controller to maintain the preset target value; the model construction module is used for drawing a secondary network heat supply pipe network topological graph and constructing a heat supply pipe network real-time hydraulic model; the instruction generation module is used for predicting and generating a cooperative control instruction set of all the intelligent regulating valves in the whole network based on a genetic algorithm; the dynamic adjusting module is used for dynamically adjusting the opening degree of the adjusting valves according to the cooperative control instruction set of all the intelligent adjusting valves in the whole network; and the interaction platform module is used for building a user interaction platform and dynamically adjusting the opening degree of the adjusting valve according to feedback of the user interaction platform. The method has the advantages that by dynamically adjusting the opening degree of the adjusting valve, the heat supply comfort degree of a user is adapted in a personalized mode, and the problems of unified heat supply and unified pricing are avoided.

The invention discloses a heating network heater drainage multi-path switching and water quality standard reaching control technology, and relates to the field of path switching and water quality control, and the technology comprises the steps: configuring a foundation of a heating network heater drainage system, including a conventional drainage path and an accident drainage path, the conventional drainage path is composed of a drainage pump, a drainage pipeline, a drainage control valve and a pipeline connected with a condensate water mother pipe, and the accident drainage path is composed of a drainage pipeline, an accident drainage control valve and a discharge connector connected with a waste heat boiler fixed discharge pipeline. A tubular heat supply network heater is arranged in a heat supply network circulating water system, and a multi-path drainage drainage system comprising a conventional drainage path and an accident drainage path is established on the outlet side of the heat supply network heater, so that graded recovery and abnormal isolation of drainage are realized; and continuously monitoring the hydrophobicity by combining an on-line conductivity analyzer, an on-line pH analyzer and an on-line iron ion analyzer.

The utility model relates to the technical field of heat supply pipe networks, in particular to a heat supply pipe network leakproof device for heat supply, which comprises a middle connecting pipe and two joint pipes, the two joint pipes are respectively connected to two ends of the middle connecting pipe, a middle pipe is fixedly mounted at the center of the inner wall of the middle connecting pipe, and an insertion pipe is fixedly mounted on the inner wall of the middle pipe. According to the heat supply pipe network leakage-proof device for heat supply, mechanical fastening force is provided through threaded connection of the sleeve and the middle connecting pipe, the sealing ring is pressed to fill the gap between the connector base and the insertion pipe to block external leakage, the insertion pipe is installed in the insertion groove, expands under the pressure of a heated medium and is tightly attached to the inner connecting pipe to form dynamic sealing, and the sealing effect is good. And the elastic head of the inner connecting pipe is made of high-temperature-resistant rubber, so that the axial expansion amount of the pipeline can be absorbed, and connection looseness caused by thermal expansion and cold contraction is avoided.

The invention provides an energy-saving system for continuously boiling a brewery boiler by adding air source heat energy. The energy-saving system comprises the boiler, a condensing heat exchanger, an air energy heat supply device, an intermediate heat exchanger, an energy storage tank, a preheater and temperature values among the devices. The energy storage tank can store heat of the air energy heat supply device and heat of steam waste heat after boiling of the boiler, and can supply heat supplement for continuous boiling of the boiler through the stored energy. Air source heat and recovered steam heat energy of the boiling device are used for supplementing heat for wort, so that the steam consumption of an external pipe network can be reduced, steam loss is reduced, heat circulation and repeated utilization of the system are realized, the heat energy utilization rate is improved, the energy-saving effect is achieved, the wort temperature rising time is shortened, and the working efficiency is improved. Furthermore, the wort boiling time of the boiler is shortened, and the production efficiency is improved.

The invention discloses a hydraulic intelligent balance regulation and control method and platform for multiple systems of a heat exchange station, and relates to the technical field of hydraulic balance of central heating systems, and the method comprises the steps: obtaining the real-time operation data of multiple heating systems of the heat exchange station, calculating the heat consumption data of a unit area, analyzing the hydraulic unbalance, and obtaining a hydraulic supply state parameter set; temperature change parameters of the heat exchange station are monitored, and a climate compensation adjustment curve is constructed in combination with hydraulic unbalance indexes; collaboratively optimizing the two to generate a multi-system valve control instruction set; adjusting and monitoring according to the instruction set and then feeding back and backtracking, and constructing a hydraulic balance regulation and control strategy to realize intelligent control. The technical problems that due to the fact that regulation and control of the multiple heat supply systems of the heat exchange station are lack of pertinence and collaboration and inaccurate in state judgment, heat supply is uneven and energy consumption is too high are solved, and the technical effects that the operation states of the multiple systems of the heat exchange station are precisely controlled and cooperatively adjusted, heat supply balance is improved, and overall energy consumption is reduced are achieved.

The invention discloses a heat supply system optimization scheduling control method based on an operation benchmark library and working condition matching. The method comprises the following steps: constructing an offline operation benchmark library comprising a scheduling control business demand type, a business working condition type, business working condition relevance and a business operation strategy; business demand similarity and business working condition type similarity are calculated through the scheduling control agent; if the business demand similarity and the business working condition type similarity both exceed threshold values, business operation strategies under the business demand and the business working condition are obtained through an offline operation benchmark library, and operation strategies of other types of scheduling control businesses are adaptively adjusted according to business working condition relevance; taking the offline operation benchmark library as a training sample set through a scheduling control agent, carrying out training learning of each business scheduling control model, constructing each business scheduling control model, and obtaining a corresponding business operation strategy; and fusing and analyzing the benchmark strategy and the model strategy to obtain a final operation strategy of each scheduling control service.

The invention relates to the technical field of data processing, in particular to a heat supply data monitoring system based on artificial intelligence. The system comprises a return water temperature prediction module, a deviation monitoring module, a thermal load analysis module, a first pipe network state monitoring module, a second pipe network state monitoring module and a parameter correction module. An expected return water temperature target value is calculated, and a deviation monitoring module captures the difference between an actual operation state and a theoretical value based on a heat balance principle; the thermal load analysis module accurately draws a system total load curve through data of a user side intelligent heat meter, when the system is abnormal, fault sources can be intelligently distinguished, whether set parameters are misaligned or not is judged according to a thermal inertia mechanism by recognizing near-end overheating and tail-end underheating, hydraulic instability and physical blockage are accurately positioned, and the system reliability is improved. Meanwhile, self-adaptive optimization of set parameters is achieved, the accuracy and timeliness of fault diagnosis of the heat supply system are improved, and stable and efficient operation of the heat supply system is effectively guaranteed.

The invention relates to the technical field of intelligent heat supply, and discloses a load prediction energy-saving regulation and control method for secondary network heat supply. Extreme weather is identified through the multi-source meteorological data, and graded early warning signals are generated; collecting and processing data flow of a heat supply pipe network and an indoor sensor; fusing the data flow and the early warning signal, and generating a thermal load prediction value subjected to physical constraint and dynamic compensation by adopting a hybrid prediction model; based on the early warning level and the predicted value, a multi-objective optimization problem is solved in a rolling mode through model prediction control, and a water supply temperature and water pump frequency setting curve is generated; and finally, after instruction smoothing and safety verification, an execution mechanism is driven to complete accurate regulation and control. According to the invention, by constructing a sensing, predicting, optimizing and executing full-link intelligent regulation and control system, the industrial problem that the rapid mutability of extreme weather is not matched with the slow dynamic response of the system is solved, and the regulation and control quality and the energy efficiency level of the heat supply system are remarkably improved.

The invention discloses a new energy electric heating collaborative optimization method and device fused with an artificial intelligence algorithm, electronic equipment and a storage medium thereof, and relates to the technical field of new energy electric heating collaboration. Multi-source data of an electric power system and a thermodynamic system are integrated, the perception and correction capability of wind and light output prediction on high-frequency disturbance is improved, an accurate electrothermal coupling dynamic model is constructed, a multi-target optimization decision is realized through an efficient intelligent algorithm, and a refined real-time control mechanism is combined to realize high-precision optimization of wind and light output. Therefore, electricity and heat supply and demand are balanced, operation cost is reduced, and stable and efficient operation of the system under high-proportion access of new energy is guaranteed.