884 results about "Gas consumption" patented technology

The invention discloses an intelligent control system for a compression heat zero-gas-consumption dryer, and relates to the technical field of compressed air drying. The intelligent control system comprises a data sensing module, an intelligent decision module and an execution module; the data sensing module acquires humidity, temperature, pressure and flow data of compressed air in real time, and can dynamically adjust acquisition frequency according to working conditions to provide a data basis for subsequent decision making; according to the invention, the over-integrated data sensing module monitors the humidity, temperature, pressure and flow of compressed air in real time, and dynamically adjusts the acquisition frequency according to working conditions, thereby providing an accurate data basis for intelligent decision making; the intelligent decision-making module adopts an advanced data processing technology and a VAE model to repair and supplement the data, so that the accuracy and integrity of the data are ensured; in this way, the system can accurately control the drying process, reduce energy waste and achieve the zero-gas-consumption drying effect, and therefore the operation cost is remarkably reduced.

The invention discloses an air compressor frequency conversion and energy saving control method and system based on data analysis, and particularly relates to the technical field of air compressor control. Aiming at the problems of frequency jitter and motor instability of the permanent magnet variable-frequency screw air compressor in a high-frequency air consumption fluctuation scene, the method comprises the following steps of: acquiring exhaust pressure, air consumption flow, motor current, frequency converter output frequency and environment temperature data in real time, performing trend prediction by utilizing a data analysis model, and constructing a multi-dimensional working condition characteristic curve; a gas consumption fluctuation mode is accurately recognized, and predictive judgment is made before frequency fluctuation is about to exceed the limit; according to a prediction result, a frequency converter control strategy is dynamically adjusted, the frequency response rate is buffered in advance, an energy-saving mode is automatically triggered when the load change trend is abnormal, rotating speed control is optimized in real time, and according to the method, the operation stability and response precision of the air compressor are effectively improved, energy consumption is remarkably reduced, and the service life of equipment is prolonged; the method is suitable for the intelligent energy-saving operation requirement in a high-beat and high-precision manufacturing scene.

The invention provides a self-adaptive teaching-free welding robot intelligent gas saving monitoring system, which relates to the technical field of industrial robots, and comprises a three-dimensional sensing module used for identifying the workpiece material category through a multispectral sensor integrated with a welding gun of a welding robot, meanwhile, a stereoscopic vision camera and a line structure light scanning camera are used for obtaining three-dimensional point cloud data of the welding seam in real time; the parameter adjusting module is used for calling a heat conductivity coefficient database based on the three-dimensional point cloud data, and correcting the initial flow of the welding current, the arc voltage and the protective gas in real time; and the matching control module is used for calculating the arc length variable quantity based on the arc voltage, controlling the opening degree of the gas flow valve through a dynamic regulator, realizing dynamic matching of the gas flow and the changed arc length, and generating gas dynamic matching control parameters. Through cooperative operation of self-adaptive attitude compensation and real-time gas consumption monitoring, teaching-free accurate operation in the welding process is achieved, and intelligent control over gas consumption is improved.

The invention relates to an air compressor energy-saving control method, device and equipment based on an AI algorithm, and the method comprises the steps: collecting the operation data of an air compressor in real time; the real-time energy efficiency ratio of each air compressor is dynamically calculated according to the energy consumption and the gas production rate, and the air compressors with the energy efficiency ratios lower than 75% are marked as low-efficiency equipment; on the basis of the historical gas consumption data, the production line schedule, the environmental parameters and the equipment state, the gas consumption demand in the future time period and the future efficiency of the air compressor are predicted through the air pressure demand prediction model and the EER prediction model; on the premise of meeting the gas demand in the future period, with the goal of minimizing the total energy consumption and the constraint conditions that the total gas production rate meets the predicted gas demand and the load rate of the frequency converter is limited to be 50%-100%, an optimal switch combination and load distribution scheme is obtained, and a corresponding control instruction is generated and executed, so that the production demand is accurately matched, and meanwhile, the production efficiency is improved. The energy consumption of the system is reduced, the equipment management efficiency is improved, and the purpose of refined and intelligent energy-saving control of the air compression system is achieved.

The invention relates to the technical field of medical oxygen generators, and discloses an efficient and energy-saving PSA oxygen generator which comprises an adsorption tank, a gas inlet pipeline, a nitrogen discharge pipeline, an I-shaped balance pipeline, a first purging pipeline, a second purging pipeline, an oxygen outlet pipeline, a purity measurement pipeline, a qualified gas pipeline, an unqualified gas pipeline and an emptying pipeline, a throttling element is arranged on each of an inlet pipeline and an outlet pipeline of the adsorption tank and used for controlling the flow of gas when the adsorption tank is balanced, impact of high-speed gas on a molecular sieve is avoided, oxygen-enriched air can stay at the top of the adsorption tank in various balance modes, and desorbed low-concentration oxygen is adsorbed again to obtain the oxygen-enriched air. And the oxygen recovery rate is improved, so that the air consumption is reduced, the required power of an air compressor is reduced, and the energy consumption required by oxygen production is reduced.

The invention relates to the technical field of air compressors, and particularly discloses an air compressor operation and maintenance scheduling method and system.The method comprises the steps that historical air consumption data of air consumption equipment is obtained, and an air consumption change period is divided according to the historical air consumption data of the air consumption equipment; determining typical working conditions of the gas consumption equipment according to the gas consumption change period, and determining load predicted values of the air compressors corresponding to the gas consumption equipment according to the typical working conditions of the gas consumption equipment; real-time load data of the air compressor are obtained, and the load prediction value is corrected according to the real-time load data of the air compressor; and determining the load grade of each air compressor according to the corrected load predicted value, and scheduling the air compressors according to the load grade of each air compressor. According to the method, the optimal air compressor scheduling strategy is formulated by predicting the load data of the air compressors, so that the control precision of the air compressors can be effectively improved, the operation energy consumption can be dynamically reduced, and the optimal operation and maintenance effect can be achieved.

The invention relates to the technical field of safety monitoring, and discloses a linkage monitoring method and system for a gas leakage alarm and a gas meter, and the method comprises the steps: periodically regulating and controlling the temperature of a gas sensor, obtaining monitoring values at different temperatures, calculating a specific value, and recognizing gas leakage and non-leakage gas sources; when leakage is judged, activating a camera to shoot an image of a gas meter counter, synchronously acquiring temperature and pressure data, and uploading the temperature and pressure data to a data processing center; a gas consumption value is extracted based on an image recognition algorithm, environmental interference is corrected in combination with an ideal gas state equation and a dynamic compensation model, and high-precision gas consumption is generated; and by analyzing the time sequence relevance between the corrected consumption and the leakage signal, if an abnormal condition is met, the valve is automatically closed, and an alarm is given. According to the invention, high precision, low false alarm and quick response of gas leakage detection can be realized.

The invention relates to the technical field of water removal and drying of a battery, in particular to a staged flowing type vacuum-pumping water removal method for the battery, and compared with a traditional vacuum-pumping water removal mode, the method can avoid the situation that vacuum needs to be pumped again after a large number of water molecules return to the battery again during pressure relief in the baking process. Therefore, the overall drying time of the battery is shortened, the battery dewatering efficiency is improved, the drying gas consumption is reduced, and the product quality is improved.

The invention provides an intelligent analysis and diagnosis system for caliber matching of a gas measuring instrument, which relates to the technical field of data processing and comprises an extraction module, an analysis and diagnosis module and an analysis and diagnosis module, selecting a main pipe intersection P1, a user access point P2 and a pressure regulating station output point P3 as three dynamic topology reference points; constructing a dynamic topological unit according to the three points, performing regional division on the unit, and extracting pressure-flow coupling feature values of sub-regions; the correction module is used for performing weighted correction on the user gas consumption demand sudden change probability feature vector through the pressure-flow coupling feature value to generate a corrected sudden change probability feature vector; and the processing module is used for performing tensor splicing on the corrected mutation probability feature vector and the pipeline equivalent inner diameter dynamic feature vector, and inputting a full-connection diagnosis network to generate a caliber matching deviation index. The intelligent operation efficiency of gas supply can be improved.

Provided are a method, an IoT system, and a storage medium for demand management of natural gas in distributed energy pipelines. The method includes: determining a commercial gas consumption change sequence; obtaining gas flow data; obtaining historical gas consumption data based on the gas flow data; determining a residential gas consumption change sequence; determining a demand volume sequence based on the residential gas consumption change sequence, the commercial gas consumption change sequence, and the historical gas consumption data; constructing a micro-pipeline network map based on a low-pressure transportation network, a current gas storage amount and a storage capacity of a gas field station, and the demand volume sequence; determining a gas storage coverage rate and a gas supply priority; determining a gas storage adjustment parameter based on the gas storage coverage rate and the gas supply priority; and generating a storage adjustment instruction based on the gas storage adjustment parameter.

The embodiment of the invention discloses a gas consumption demand prediction method, system and device and a storage medium. The method comprises the steps that a plurality of gas consumption demand prediction models are constructed; obtaining a fitting result of the gas consumption demand prediction values and the gas consumption actual values of the plurality of gas consumption demand prediction models; determining a weight factor of each gas consumption demand prediction model under each time node according to the fitting result; and predicting the gas demand by combining the plurality of gas demand prediction models with the weight factor of each gas demand prediction model at the current time node. According to the embodiment of the invention, the weight factor of each gas demand prediction value can be determined through the fitting result between the gas demand prediction values and the actual gas values of the plurality of gas demand prediction models, and the prediction result closer to the actual gas value can be predicted according to each gas demand prediction value and the weight factor thereof. Therefore, the effect of improving the prediction precision of the urban gas demand quantity is achieved.

The invention discloses a gas saving device for welding shielding gas, and relates to the technical field of shielding gas saving, the gas saving device comprises gas saving equipment, a fluid pipeline and a control part are arranged in the gas saving equipment, the control part drives a baffle in the fluid pipeline to move through obtained seam width data so as to obtain the maximum flow of welding the seam width; according to the method, the maximum fluid flow during welding of the seam width is determined through the seam width, namely, targeted fluid flow adjustment can be conducted according to different welding seam widths, the purpose of preliminary gas saving is achieved, and meanwhile covering of protective gas can be guaranteed. And the rotating angle of the dynamic adjusting plate is adjusted according to the proportion, so that the flow is dynamically adjusted to further save gas. According to the real-time change of the welding current, the gas flow is intelligently controlled, and gas is supplied after being specially treated on the premise that the gas formula is not changed. And the gas consumption is effectively reduced while the welding quality is ensured.

The invention discloses an indoor gas consumption abnormity early warning method, device and equipment and a storage medium. The method comprises the following steps: acquiring historical parameter information related to gas information in a target user room; according to the historical parameter information and a pre-constructed gas consumption prediction model, predicting the predicted gas consumption of indoor gas of the target user in a preset prediction period; according to the historical parameter information and the predicted gas consumption, determining a target consumption threshold interval in the preset prediction period; and in the preset prediction period, if the actual indoor gas consumption of the target user is located outside the target consumption threshold interval, determining that the indoor gas consumption of the target user is abnormal, and performing alarm processing. According to the method, the reliability of monitoring the tiny leakage can be improved, false alarm and false interference on the user experience are reduced, an active early warning mechanism is introduced, and a technical basis is provided for gas use safety early warning.

The utility model relates to the technical field of medical oxygen generators, and discloses a high-efficiency energy-saving PSA oxygen generator which comprises an adsorption tank, a gas inlet pipeline, a nitrogen discharge pipeline, an I-shaped balance pipeline, a first purging pipeline, a second purging pipeline, an oxygen outlet pipeline, a purity measurement pipeline, a qualified gas pipeline, an unqualified gas pipeline and an emptying pipeline, a throttling element is arranged on each of an inlet pipeline and an outlet pipeline of the adsorption tank and used for controlling the flow of gas when the adsorption tank is balanced, impact of high-speed gas on a molecular sieve is avoided, oxygen-enriched air can stay at the top of the adsorption tank in various balance modes, and desorbed low-concentration oxygen is adsorbed again to obtain the oxygen-enriched air. And the oxygen recovery rate is improved, so that the air consumption is reduced, the required power of an air compressor is reduced, and the energy consumption required by oxygen production is reduced.

The present invention discloses a gas infrared radiation and hot air dual-mode drying furnace for drying printing inks, which comprises a furnace body housing. Inside the furnace body housing, there are a heating chamber and two machine position chambers. The two machine position chambers are symmetrically distributed at the top and bottom of the heating chamber. An inlet and an outlet penetrating through the furnace body housing are respectively arranged on both sides of the middle of the heating chamber. The present invention heats printing paper through two modes of gas infrared radiation and hot air. Due to the physical properties that infrared rays can penetrate and objects can actively absorb the heat of infrared rays, the ink and the interior of the paper can be quickly heated. In the later stage, the high-temperature flue gas waste gas generated by the front-end gas infrared radiation burner is used, and is guided to the air knife for drying through the hot air circulation mode by a blower and a forced air blower. The gas consumption of the burner is lower, and the heating speed is faster, further reducing the gas energy consumption. Under the condition of the same gas consumption, the speed of the printing press is significantly increased, meeting the requirement of lower gas energy consumption of existing conventional gas burners.

The invention provides a membrane separation oxygen production device capable of simultaneously producing medical oxygen and oxygen-enriched air, the device comprises a common oxygen production main machine, a membrane separation purification system and a pure oxygen production main machine, when the common oxygen production main machine needs to be purged, oxygen-enriched nitrogen, high-concentration oxygen-enriched air and waste gas can be utilized to purge an adsorption tower. The system has the advantages that the oxygen concentration can be automatically switched according to the requirements of a hospital, and medical oxygen and oxygen-enriched air are provided for the hospital at the same time or are independently provided for any one of the medical oxygen and the oxygen-enriched air; the membrane separation oxygen production technology is adopted, high-concentration waste gas generated during membrane separation medical oxygen production is used in the production process of oxygen-enriched air, the air-oxygen ratio is optimized, and the gas consumption is lower compared with a medical oxygen production system on the market; the waste gas exhausted from the direct current side in the medical oxygen generation process is rich in oxygen which is still contained in gas mainly containing argon and nitrogen and still contains high-concentration oxygen, the oxygen is used for producing oxygen-enriched air, the production efficiency is improved, the air amount needed by a product is reduced, and the effect of reducing energy consumption is achieved.

The invention discloses an air jet loom auxiliary jet air consumption prediction method and device, equipment and a medium, and belongs to the technical field of industrial automation. The method comprises the following steps: obtaining to-be-measured structure parameters of a to-be-measured nozzle in the air jet loom, wherein the to-be-measured structure parameters comprise an inlet diameter, a straight pipe diameter, a nozzle taper, an elliptical outlet long axis and an elliptical outlet short axis; the to-be-measured structure parameters are input into an air flow prediction model, the nozzle air consumption, output by the air flow prediction model, of the to-be-measured nozzle is obtained, and the air flow prediction model is obtained based on sample structure parameters of the sample nozzle and air consumption label training. According to the method, the gas consumption of the nozzle can be accurately predicted in a complex industrial environment.

The invention provides a compound hydrate inhibitor and a natural gas consumption prediction device and method, the compound hydrate inhibitor comprises a kinetic hydrate inhibitor, a thermodynamic hydrate inhibitor and 900-1000 parts of solvent water, the kinetic hydrate inhibitor comprises 5-20 parts by weight of polyvinylpyrrolidone, the thermodynamic hydrate inhibitor comprises 10-20 parts by weight of polyvinylpyrrolidone, and the solvent water comprises 10-20 parts by weight of a solvent. The thermodynamic hydrate inhibitor is prepared from 19 to 38 parts of monohydric alcohol compound and 15 to 20 parts of soluble chlorine salt. The hydrate inhibitor has a remarkable inhibition effect on a hydrate nucleation stage, after polyvinylpyrrolidone, methyl alcohol and sodium chloride are mixed, the inhibition effect of the hydrate can be synergistically improved, the compound hydrate inhibitor is applied to a natural gas consumption prediction device, and the natural gas consumption prediction efficiency is improved. Generation of natural gas hydrate in the pipeline conveying process of natural gas can be further simulated, and more accurate natural gas consumption prediction can be carried out on an untested formula or according to actual natural gas conveying conditions.

The invention relates to the technical field of steel plant air compression, and discloses a steel plant air compression system universal energy-saving and stable air supply control method which comprises the following steps that S1, the total air consumption demand Q of a steel plant compressed air pipe network is monitored in real time; s2, executing a load segmentation control strategy based on the total gas consumption demand Q; s3, loading and unloading operation of the power frequency air compressor and rotation speed adjustment of the variable frequency air compressor are controlled in a coordinated mode through a central energy-saving control unit; and S4, a pressure buffer tank is arranged on an output pipeline of the variable-frequency air compressor and used for stabilizing the pressure of the pipe network. The total air consumption demand Q is divided into two sections, the power frequency machine is started and stopped according to the N + 1 principle, and the frequency converter is supplemented for continuous quantity supplement, so that the system can operate only with the minimum necessary unit in any load scene, energy waste caused by over-start and over-stop in a traditional scheme is avoided, and overall reduction of compressed air production energy consumption is realized.

The utility model discloses an energy storage type steam system based on a steam heat accumulator, which comprises a softened water supply unit, a gas steam supply unit, an electric steam boiler, the steam heat accumulator and a second thermal deaerator, the steam distribution cylinder is connected with the second thermal deaerator through a second steam pipeline, water supply of the first thermal deaerator is divided into two paths, the first path is connected with the gas steam boiler through a second water supply pipeline, and the second path is connected with the electric steam boiler through a third water supply pipeline. The electric steam boiler is used for supplying steam in an auxiliary mode, steam can be stored in the off-peak electricity period, the stored steam is used for supplying steam, the steam heat accumulator has the peak load shifting function, the proportion of absorbing green electricity is increased, gas consumption is reduced, energy is saved, emission is reduced, and the influence of steam load fluctuation on the gas steam boiler is eliminated. And the service life of the gas-steam boiler is prolonged.

The invention belongs to the field of natural gas demand prediction, and discloses an urban gas monthly gas consumption prediction method and device and a storage medium, and the prediction method comprises the steps: collecting historical pre-payment data of urban non-gas Internet of Things meter users and historical gas consumption data of gas Internet of Things meter users; according to the historical pre-payment data of the non-gas Internet of Things meter user, calculating the historical annual total gas consumption of the urban residents; preprocessing the historical gas consumption data of the gas Internet of Things meter user to obtain the historical gas consumption data of a non-abnormal gas Internet of Things meter user; according to the historical annual total gas consumption of the urban residents and the historical gas consumption data of the non-abnormal gas Internet of Things meter users, the historical monthly total gas consumption of all the urban residents is calculated; and based on the historical monthly total gas consumption of all residents in the city, predicting the monthly total gas consumption demand of the city by adopting a prophet model. According to the invention, based on the real resident pre-payment data and the gas consumption data of the Internet of Things meter, the prediction result is ensured to be accurate.

The present application relates to the gas lift type mechanical device for liquid pumping and discharging, which is especially suitable for oil exploitation, natural gas well liquid discharging and gas pumping, and underground water exploitation in industrial and agricultural production and life. The chamber gas liquid pumping and discharging device is composed of a unique U-shaped valve (10), a gas mixing valve (14) and a chamber (12), and a plurality of open chamber sections are formed on the production pipe, so that the upward fluid is divided into a plurality of gas pushing liquid and liquid pushing gas sections, thereby reducing the flow pressure and facilitating the production. The gas mixing valve (14) has the function of automatically adjusting the density of the fluid, so that the gas injection amount and the liquid pumping amount are always optimal, the gas consumption is only 15-20% of the conventional gas lift method, and the device meets the needs of low energy oil well production or natural gas well liquid discharging and gas pumping. The yield of the production well can be controlled by adjusting the gas injection time or the gas injection amount of the ground equipment. The device has the advantages of simple structure, reliable work, long service life, low energy consumption and wide application range.

The utility model discloses a rotary gas phase coating intermittent furnace which comprises a hearth, carrier rollers are arranged on the two sides of the hearth, a furnace pipe is arranged in the hearth and rotates on the carrier rollers, and a gas inlet pipe and an exhaust pipe are arranged in the furnace pipe in a penetrating mode. And a raising plate is arranged on the inner wall of the furnace pipe. The lifting plates are arranged on the inner wall of the furnace pipe, so that powder can be promoted to roll over, the powder can be in full and uniform contact with gas-phase lysate, and the uniformity of a coating layer is remarkably improved; by optimizing the design of a gas flow path and a filtering system, the emission of diluent gas and incompletely cracked gas is effectively reduced, and the gas utilization rate is improved, so that the gas consumption and the energy consumption in the whole coating process are reduced, and the production cost is saved. The furnace pipe rotates on the carrier rollers, so that materials are fully turned over and uniformly heated in the hearth, the conditions of material accumulation and non-uniform heat distribution are avoided, and the casting yield and the production efficiency of products are improved.

According to the multifunctional integrated oven trolley, fuel gas is adopted as energy, smoke generated in the barbecuing process can be reduced, no charcoal ash is left, and cleaning and maintaining are convenient; the multiple straight pipe furnace ends can be independently controlled, a user can adjust fire power according to requirements, gas consumption is reduced, the overall temperature control precision is improved, and partition temperature control is supported; the movable cabinet body is convenient to move, and food materials are convenient to stack due to the arrangement of the storage table; through the design of the exhaust fume collecting hood and the exhaust fume extraction device, exhaust fume gas generated in the barbecue process can be extracted, meanwhile, after the hood body rotates upwards by 90 degrees to be opened, some scattered exhaust fume can enter the main fume suction channel of the exhaust fume collecting hood along the auxiliary fume suction channel and the auxiliary fume suction opening, and due to the fact that the coverage range of the hood body is large, the range of the hood body is large. The range of suction of the spilled oil smoke is larger, so that the spilled oil smoke gas is further sucked, and finally, the oil smoke gas subjected to concentrated suction can be matched with a related oil smoke purifier for purification treatment.

A method for distribution controlling of a smart gas pipeline is provided, the method including: obtaining historical usage data of end-users of a target pipeline; determining a distribution demand sequence based on the historical usage data; obtaining historical monitoring data and initial gas supply parameters of a gas supply source; determining a gas consumption peak period based on the historical monitoring data; in response to determining that a gas delivery time point is in the gas consumption peak period: determining a peak regulation parameter for the target pipeline based on the distribution demand sequence and the initial gas supply parameters; and generating a peak regulation distribution instruction based on the peak regulation parameter to control the distribution control device in the target pipeline to carry out a distribution peak regulation operation in accordance with the peak regulation parameter.

The invention relates to the technical field of natural gas hydrogen doping, and provides a wide-flow accurate natural gas hydrogen doping device and a natural gas hydrogen doping method. The wide-flow accurate natural gas hydrogen doping device comprises a natural gas pipeline, a hydrogen pipeline, a gas mixing pipeline and a PLC (Programmable Logic Controller) control system, the PLC control system sets the hydrogen doping proportion and controls the opening degree of the first flow transmitter of the natural gas pipeline, the opening degree of the flow adjusting valve of the hydrogen pipeline and the opening and closing of the buffer tank, and therefore the purpose of adjusting the hydrogen doping proportion of gas led out of the gas mixing pipeline is achieved. According to the wide-flow accurate natural gas hydrogen doping device, the effects that the hydrogen doping proportion is accurately controlled, hydrogen doping mixing is uniform and the system can be comprehensively and integrally controlled can be achieved according to the characteristics that the gas consumption rule of an urban gas pipe network is large in gas consumption flow, wide in flow and large in gas consumption peak-valley difference.

The embodiment of the invention relates to a resident gas consumption checking method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the clustering of all urban gas customers based on a gas consumption sequence of the urban gas customers, and obtaining different clusters; simulating a proportionality coefficient model according to the per-household gas consumption sequences of any two urban gas customers in the same cluster and the target difference characteristics between the two urban gas customers; migrating the proportionality coefficient model to other urban gas customers in the same cluster, and calculating the per-household gas consumption sequence of all urban gas customers in the same cluster; and calculating the gas consumption of all residents according to the per-household gas consumption sequence and the resident household number of the city gas customers of the same cluster so as to realize checking. And the accuracy of checking the data is improved.

The invention discloses a virtual power plant optimal scheduling method based on a two-stage dynamic game, which is used for solving the problems that the current related technology has insufficient attention on a carbon transaction and power market cooperation mechanism and lacks modeling for interaction of supply and demand parties under the dynamic game, so that the carbon emission reduction effect and economic benefit are difficult to balance, and the scheduling efficiency is poor. And the sustainability of the scheduling strategy is insufficient. The method comprises the following steps: acquiring gas consumption data and energy storage charging and discharging data of a virtual power plant; constructing a gas turbine power output model based on the gas consumption data, and constructing an energy storage battery operation model based on the energy storage charging and discharging data; in combination with system standby constraints, introducing a sectional excitation type carbon emission mechanism, and constructing a constraint model containing carbon emission; based on a gas turbine power output model, an energy storage battery operation model and a carbon-containing emission constraint model, constructing a scheduling balance optimization model based on a two-stage dynamic game; and carrying out optimization solution on the scheduling balance optimization model to obtain an optimized scheduling result of the virtual power plant.

The utility model relates to a high-frequency electrotome gas flow automatic control system which comprises a gas source, a gas compressor connected with the gas source and a gas buffer tank connected with the gas compressor. A first electromagnetic valve is arranged on a gas passage between the gas source and the gas buffer tank, and a second electromagnetic valve is arranged on a gas passage between the gas buffer tank and the electrotome; the gas source inflates the gas buffer tank; and the gas flow of the electrotome is controlled between the gas buffer tank and the electrotome through a second electromagnetic valve. The gas buffer tank is used for storing gas, and the pressure of the gas buffer tank is controlled within a certain fixed period, so that the gas consumption of the electrotome can be controlled to be stable without large fluctuation.

The invention relates to a micro-grid optimization operation method considering different operation modes, and belongs to the technical field of micro-grids. According to the method, based on a micro-grid operation mode and interaction electric quantity of a micro-grid and a large power grid, a first objective function is constructed by taking interaction cost minimization of the micro-grid and the large power grid as an objective; based on the rated power of each unit in the micro-grid and the gas consumption of the gas turbine, constructing a second target function by taking the operation cost minimization as a target; based on the gas turbine power generation power, the total power generation amount of the wind turbine generator, the total power generation amount of the photovoltaic unit, and the charging power and the discharging power of the energy storage unit, constructing a third objective function by taking micro-grid income maximization as an objective; and carrying out joint solution on the plurality of objective functions based on set constraints to obtain a micro-grid optimization operation scheme. According to the method, the utilization rate of new energy output in the micro-grid can be effectively improved, the adjustment capability of flexible resources such as energy storage in the micro-grid is fully exerted, and the operation cost of the micro-grid is reduced.