122 results about "Micro gas turbine" patented technology

The invention provides a micro-grid dispatching method based on a hybrid genetic particle swarm optimization algorithm. The method comprises the following steps: constructing a micro-grid system comprising a photovoltaic cell PV, a fan WT, a diesel generator DE and a micro gas turbine MT; based on the micro-grid system, a multi-objective optimized micro-grid optimization scheduling model is constructed, an objective function of the optimization scheduling model is set to be cost for minimizing the micro-grid in a grid-connected mode, and the cost comprises operation cost and environment cost; and solving the optimal scheduling model of the micro-grid by adopting a hybrid genetic particle swarm optimization algorithm MOPSO, and outputting an optimization result meeting a scheduling strategy. According to the method, the operation cost is optimized, the microgrid dispatching strategy with the optimal economical efficiency can be formulated by accurately predicting the future load and the new energy output and fully utilizing adjustable and controllable means such as energy storage and the hybrid genetic particle swarm optimization algorithm, and the operation cost is reduced.

A micro gas turbine engine may include a single-piece rotor having a compressor, a turbine, and a shaft manufactured from an additive manufacturing process. The compressor, turbine, and shaft are a single uniform piece and not separately joined together. The micro gas turbine engine may further include a ceramic cover having built in fuel injectors and stator blades for the compressor. The micro gas turbine engine may further include a inner combustor lining having built in stator blades for the turbine.

The invention relates to a micro-grid system multi-objective optimization method based on an NSGA-GMO algorithm. The micro-grid system comprising a photovoltaic cell, a wind driven generator, a gas turbine and an energy storage cell is constructed; analyzing the fuel cost of the micro gas turbine; constructing a multi-target optimal scheduling model of the micro-grid system; an NSGA-GMO algorithm is adopted to solve the multi-target optimal scheduling model, and an optimal solution is obtained; and according to the optimal solution, guiding the micro-grid system to dispatch and operate. According to the method, the multi-target optimal scheduling model of the micro-grid system containing the distributed power supply is constructed, and the optimal solution of the multi-target optimal scheduling model is solved by using the NSGA-GMO algorithm, so that the power generation cost and the pollution abatement cost of the micro-grid system can be reduced; and the NSGA-GMO algorithm has better optimization capability and convergence.

The invention belongs to the technical field of power distribution network planning, and particularly relates to an elastic power distribution network planning method based on wind-solar-storage combined output. Comprising the steps of S1, establishing a power distribution network fault rate model; s2, constructing and selecting a typical disaster scene; establishing and screening typical disaster scenes by combining a Monte Carlo simulation method and information entropy; s3, establishing an elastic power distribution network planning model; on the basis of a disaster scene, an elastic power distribution network planning configuration model is established, and a power distribution network planning model in the disaster scene is established in combination with wind power generation, photovoltaic power generation, a micro gas turbine, energy storage and other elements; s4, solving the planning model; solving the planning model by adopting an NSGA-II algorithm to obtain an optimal configuration result of the power distribution network; renewable energy and an energy storage technology are integrated, various energy sources are reasonably distributed, dependence on a traditional power source is reduced, meanwhile, the overall toughness and disaster resistance of a power grid are enhanced, and therefore the reliability and stability of the power grid are improved.

According to the new energy power generation and electricity hydrogen hybrid energy storage integrated comprehensive energy system, new energy is used for power generation, and a methane cracking hydrogen production device is used for converting methane into hydrogen to serve as a raw material to be used for power generation of a fuel cell and a micro gas turbine. The problems that due to randomness, volatility and intermittency of wind energy and solar energy, stability energy storage equipment lacks, power supply reliability is reduced, and power supply quality is affected are solved. In addition, the fuel cell and the micro gas turbine take hydrogen as fuel and cannot consume fossil fuel, so that carbon emission and pollution are reduced. Meanwhile, compared with hydrogen production through electrolysis of water, hydrogen production through methane conversion by the methane cracking hydrogen production device, complexity in the energy conversion process is reduced, and the overall energy utilization efficiency is improved. A methane cracking hydrogen production technology is introduced, so that the yield and quality of hydrogen are improved, and the whole process is green, environment-friendly and pollution-free. According to the invention, the energy utilization rate is improved while the carbon emission is reduced.

The invention belongs to the technical field of testing devices, and discloses a micro gas turbine generator set testing device and a using method thereof.The micro gas turbine generator set testing device comprises a bottom plate, a plurality of mounting plates are slidably connected to the bottom plate, and two movable plates are symmetrically slidably connected to each mounting plate; a distance adjusting assembly is arranged between the two movable plates, fixed shells are fixedly connected to the movable plates, vertical plates are slidably connected into the fixed shells, height adjusting assemblies used for adjusting the height positions of the vertical plates are arranged in the two fixed shells, and the upper ends of the vertical plates extend to the positions above the fixed shells and are provided with multi-point supporting assemblies. A displacement assembly used for adjusting the position of the mounting plate is arranged between the mounting plate and the bottom plate, a movable frame is slidably connected to the bottom plate, and a test assembly is movably arranged on the movable frame; the device is simple in overall structure, and can carry out efficient, convenient and stable test operation on the micro gas turbine generator set.

The invention relates to a high-proportion photovoltaic power distribution network reactive power optimization method considering day-ahead random-intra-day rolling distribution. Monte Carlo simulation is combined with an M ILP model to establish a day-ahead optimization model, output strategies of a photovoltaic inverter and a micro gas turbine are predicted and optimized, and network loss and operation cost are minimized; on the basis, DPMU real-time data is used for carrying out intra-day rolling optimization, and a reactive power output strategy is dynamically adjusted; a model is constructed by taking reactive power loss minimization as a target, and reactive power resources are coordinated by using an ADMM algorithm; and finally, realizing continuous optimization through closed-loop control and effect evaluation. The system stability can be improved, the operation cost can be reduced, the electric energy quality can be improved, the adaptability and the optimization precision can be enhanced, and the reactive power optimization problem of the high-proportion photovoltaic power distribution network can be effectively solved.

The invention discloses a combustion state monitoring method based on a micro gas turbine combustion chamber. The method comprises the steps of temperature change and distribution in the combustion chamber, pressure pulsation of combustion gas in the combustion chamber, combustion tail gas component and content measurement, combustion efficiency measurement and combustion flame state monitoring. Specifically, the temperature change and distribution are monitored through the arrangement of thermocouples; data of gas pressure pulsation are collected through a pressure pulsation sensor, and data analysis processing can be conducted on the gas pressure pulsation so that a researcher can analyze the gas pressure pulsation; the flue gas analyzer monitors the components and the content of tail gas generated in the combustion process, and then the combustion efficiency is calculated; the combustion flame state is analyzed through flame pictures shot by a high-speed flame camera. The four monitoring modes are carried out at the same time, data are transmitted to a computer to be analyzed, and reference can be provided for subsequent further analysis of combustion performance, power generation performance, operation maintenance and fault diagnosis of the gas turbine.

The invention discloses a microgrid robust constraint scheduling method and system considering data center demand response, and relates to the technical field of power system optimization control scheduling, and the method comprises the steps: considering the operation characteristics of a micro gas turbine, an energy storage device, a photovoltaic unit and a data center, and carrying out the modeling of the operation stage of a microgrid; establishing a data center microgrid flexibility model, processing the uncertainty of photovoltaic output, conventional load and data center load by using distributed robust opportunity constraint, and constructing an objective function with operation cost minimization; and solving the model by using a CPLEX solver. By optimizing the scheduling strategy, various new energy equipment such as the micro gas turbine, the energy storage equipment and the photovoltaic unit can efficiently and cooperatively work, renewable energy sources are utilized to the maximum extent, and the energy consumption cost of the data center is reduced. A distributed robust opportunity constraint method is adopted to deal with the uncertainty of photovoltaic output, conventional load and data center load, and the operation cost is minimized while the robustness of the system is ensured.

The invention provides a self-adaptive air-fuel ratio control method and system for a micro gas turbine, and the method specifically comprises the following steps: S1, collecting the fuel flow, the air flow, the combustion temperature, the oxygen content and the emission concentration in real time; s2, predicting the optimal fuel / air ratio under the current combustion condition by adopting a combustion model or a neural network; s3, calculating an error between the actual combustion result and the combustion result predicted in the step S2; s4, according to the error obtained in the step S3, a self-adaptive control algorithm is adopted to adjust supply of fuel and air; and S5, the combustion chamber conducts combustion according to the adjusted fuel and air supply, the adjusted combustion effect is monitored in real time, and the control strategy is updated according to the combustion effect. The system is high in adaptability, efficient, energy-saving, low in emission and capable of responding in real time.

The invention discloses a hydrogen energy production and production-and-use distributed energy supply system, which relates to the technical field of new energy, and comprises a hydrogen production module which comprises a proton exchange membrane electrolytic tank, an alkaline electrolytic tank and a solid oxide electrolytic tank and runs through a three-mode collaborative architecture, in combination with a light-electricity-heat synergistic catalysis device and a wastewater or industrial tail gas coupling hydrogen production device, the hydrogen storage and safety management module comprises a metal hydride hydrogen storage unit, a metal organic framework material hydrogen storage unit and a liquid organic hydrogen storage unit. According to the invention, multi-source, high-efficiency and low-cost hydrogen production is realized through the hydrogen production module with a three-mode collaborative architecture in combination with light-electricity-heat collaborative catalysis and wastewater / industrial tail gas coupling hydrogen production, and meanwhile, a solid oxide fuel cell and micro gas turbine combined cycle, a hydrogen combustion turbine direct drive and a multi-type energy storage unit in the energy supply module realize multi-source, high-efficiency and low-cost hydrogen production. And in cooperation with waste heat-cold energy gradient utilization, the energy conversion efficiency and the comprehensive energy utilization rate are greatly improved.

The low-NOX-emission hydrogen-ammonia fusion micro gas turbine comprises a combustion chamber, a plurality of secondary air inlet holes are formed in the wall face of the combustion chamber, and the secondary air inlet holes are used for feeding part of compressed air and a first path of liquid ammonia fuel into the combustion chamber; a cracking chamber with a cracked gas outlet is arranged in the combustion chamber and located at one end close to the turbine, a catalyst is arranged in the cracking chamber, a second path of liquid ammonia fuel is fed into the cracking chamber, the second path of liquid ammonia fuel is cracked under the action of heat energy of the combustion chamber and the catalyst, and the second path of liquid ammonia fuel is fed into the cracking chamber. And obtained cracked gas enters the combustion chamber through the cracked gas outlet to be combusted. High-temperature flue gas generated by the combustion chamber is used as a heat source, ammonia is catalytically cracked in the combustion chamber of the gas turbine to generate hydrogen-rich mixed gas, the hydrogen-rich mixed gas is introduced into the combustion chamber to serve as a combustion improver, ammonia combustion flame is stabilized, NOX emission is reduced, and meanwhile stepped utilization of energy is achieved.

The application discloses a multi-time scale hierarchical scheduling method for a combined heat and power system containing electric vehicles, and the system comprises a micro gas turbine unit, an absorption refrigeration unit, a ground source heat pump unit, a wind turbine unit, photovoltaic, a battery, a super capacitor and a heat storage device. The optimization method contains two time scales. In the day-ahead stage, economic scheduling is carried out according to the day-ahead predicted power value of wind power and photovoltaic and the day-ahead predicted value of load power in the system, and a target function and optimization constraint condition are established, and the result is used as a reference for the day-ahead optimization. In the day-ahead stage, a two-layer rolling optimization model is considered, a target function and a constraint are established, and a model predictive control (MPC) rolling optimization layer corrects the result of the upper layer according to real-time predicted power information and non-planned behavior of the electric vehicle (EV). The application adopts a multi-time scale hierarchical optimization strategy, real-time tracks the optimal scheduling strategy of the combined heat and power system containing electric vehicles, and realizes a win-win situation between the electric vehicle owner and the micro-grid operator.

The present invention discloses a linear optimization method for real-time dispatch of energy in an isolated microgrid, including designing an isolated microgrid structure based on a multi-agent system, designing a real-time dispatch optimization method for the isolated microgrid, and establishing a real-time dispatch linear model for the isolated microgrid. The isolated microgrid increases the absorption resistance to absorb the excess power to ensure real-time power balance; by establishing a linear model of a battery, a micro gas turbine and an absorption resistance, the isolated microgrid is transformed into a simple linear programming model with a small amount of calculation, and then the intelligent agent is used to collect data information such as the output plan of the battery and micro gas turbine scheduled before the day, the deviation value of renewable energy and load between the day-ahead dispatch and the real-time dispatch, and the real-time dispatch plan of energy is obtained by optimization through a linear programming solution algorithm. The present invention can improve the speed and ability of the isolated microgrid to handle the uncertainty of load and renewable energy in real time, and improve the reliability of the stable operation of the isolated microgrid.

The present invention relates to the field of renewable energy power generation technology, and in particular to a hoisted micro gas turbine and system based on renewable energy, comprising a main support frame, wherein both bottom ends of the main support frame are provided with bottom feet supported on the ground, a hoisting structure embedded in a reserved pit on the ground is provided below the main support frame, a micro gas turbine is provided at the bottom of the hoisting structure, a fossil crushing mechanism is provided on one side of the micro gas turbine, and a photovoltaic component is provided between the hoisting structure and the main support frame. The present invention adopts fossil energy as fuel, and crushes the fossil fuel into powder through a fossil crushing mechanism so that it can be fully burned, thereby avoiding toxic gases generated by incomplete combustion of the fossil fuel from polluting the environment, and secondly, photovoltaic power generation is used as the starting power for the main motor of the micro gas turbine and the crushing motor of the fossil crushing mechanism, thereby truly realizing zero-energy starting.

The invention relates to the technical field of design of centripetal turbines of micro gas turbines, in particular to a design method for a volute and a nozzle ring of a centripetal turbine of a micro gas turbine. One-dimensional design of a volute and a nozzle ring is carried out by adopting a near-zero vortex design method, after a three-dimensional model is established, three-dimensional flow analysis and structure optimization are carried out, and the blade profile design of the nozzle ring adopts an integer operation mode in the design of an axial flow plane cascade gas turbine under the framework of the near-zero vortex design. The required annular blade grid is obtained through shape-preserving transformation, the blade profile can achieve a better pneumatic effect, and the energy conversion rate is increased; ribs are additionally arranged at an outlet in the volute design, and the problem that static strength of the volute is insufficient possibly is solved. Due to the design of the nozzle ring and the volute, the overall design requirement of the centripetal turbine of the micro gas turbine is met, the aerodynamic performance of the turbine is further improved, and the flowing loss of airflow is reduced.

The invention discloses a highway self-consistent energy system based on ammonia energy storage and an operation method of the highway self-consistent energy system, and belongs to the technical field of comprehensive energy systems. The system comprises an energy supply part, an electricity-hydrogen conversion unit, an ammonia energy storage unit, a multi-energy flow load part and a cascade energy utilization unit, the cascade energy utilization unit comprises a solid oxide fuel cell module, a micro gas turbine, a waste heat boiler and a heat storage tank; the solid oxide fuel cell module uses ammonia in an ammonia storage tank for first-stage power generation; high-temperature waste gas is guided into the micro gas turbine for second-stage power generation; medium and low temperature waste heat discharged by the micro gas turbine is captured by the waste heat boiler and stored in the heat storage tank; and heat energy in the heat storage tank is used for cold-state start preheating of the ammonia synthesis module in the ammonia energy storage unit by a start preheating loop. According to the system, energy gradient utilization of first-stage power generation, second-stage power generation and third-stage heat supply is achieved, the multi-energy flow load requirements of electricity, heat and hydrogen can be met at the same time, and the total energy efficiency, the self-consistent rate and the green low-carbon level of the system are greatly improved.

The present invention relates to a DC bus hierarchical response coordinated control method for a hybrid power generation system of supercapacitor energy storage and micro gas turbine, comprising: a micro gas turbine, a generator, a three-phase bidirectional converter, a bus capacitor, an inverter, a load, a DC converter, a supercapacitor, a three-phase converter controller and a DC converter controller. The high-power dynamic response of the supercapacitor energy storage unit compensates for the low dynamic response of the micro gas turbine output power, so that the system is in a state of instantaneous power balance in real time, ensuring the stability of the DC bus voltage and enhancing the adaptability of the micro gas turbine power generation system to pulse power loads. It can ensure the stable operation of the hybrid power generation system of supercapacitor energy storage and micro gas turbine, and improve the transient power quality of the system under impact loads. The proposed method can effectively improve the adaptability of the micro gas turbine power generation system under complex working conditions, and has great promotion and application value.

The object of the present invention is to provide a blade specimen salt spray dynamic thermal corrosion test bench based on a micro gas turbine, comprising a micro gas turbine, a blade test section and an exhaust gas discharge section connected in sequence, wherein the blade test section comprises a gas-salt spray mixing pipeline, a salt water supply pipeline and a blade specimen loading platform, wherein the gas-salt spray mixing pipeline is located behind the micro gas turbine, the salt water supply pipeline is located outside the gas-salt spray mixing pipeline, and a salt spray filter device and a salt spray nozzle are respectively installed thereon, the salt spray filter device is located outside the gas-salt spray mixing pipeline, the salt spray nozzle is located inside the gas-salt spray mixing pipeline, and the blade specimen loading platform is located inside the gas-salt spray mixing pipeline, and a test blade specimen is installed thereon. This test bench can simulate the actual blade working condition to the maximum extent, and the test blade specimen is located downstream of the micro gas turbine, so as to avoid the corrosion of the blade causing the change of the working condition of the gas turbine, thereby improving the stability of the experimental environment.

The invention relates to the technical field of virtual power plants, in particular to a virtual power plant multi-class power resource collaborative clearing method considering uncertainty, and the method comprises the steps: constructing a hierarchical interaction architecture of a virtual power plant and a power grid for multi-class power resources provided by the virtual power plant for the operation of the power grid; constructing a virtual power plant operation model by taking an energy storage operation constraint, a micro gas turbine operation constraint, an electric energy transaction constraint, an electric power balance constraint and a multi-class electric power resource balance constraint as constraint conditions and taking minimization of the operation cost of the virtual power plant as a target; establishing a multi-virtual power plant multi-class power resource collaborative clearing optimization model; aiming at uncertainty of new energy output, introducing distribution robust opportunity constraints, and constructing a virtual power plant multi-class power resource distribution robust collaborative clearing optimization model; and considering information privacy of each main body and energy and information interaction among a plurality of virtual power plants, proposing a distributed solution algorithm fusing a bisection method and an alternating direction multiplier method, and solving the collaborative clearing optimization model.

The present invention provides a rotor system, a micro-gas turbine generator set, and a deicing method. The rotor system includes a rotating shaft, which is an integrally formed structure; bearings, a motor, a compressor, and a turbine are mounted on the rotating shaft; the bearings are all air bearings made of conductive materials, and the air shafts are connected to a power source and a switch; and a water absorption chamber is provided near the air inlet of the air bearing, filled with a water absorbent. This invention can solve the technical problem of water accumulation in the air bearings used in the rotor system and micro-gas turbine generator set, and the throttle orifices thereof are prone to ice formation.

This invention discloses a micro gas turbine based on a turbocharger, featuring a dual-mode flame stabilization device in its annular combustion chamber. This device includes a combustion chamber body structure, a sector-divided radial jet structure, and an axial jet standby flame structure. The sector-divided radial jet structure divides the gas collection chamber circumferentially into multiple independent sector gas collection chambers. Each sector is equipped with an independent high-speed solenoid valve. Under high-load conditions, when backfire precursors are detected, only the radial jet in a local sector is triggered to suppress backfire. The axial jet standby flame structure injects a richer premixed gas into the combustion zone inlet under low-load conditions to form a standby flame, preventing the main flame from being blown out.

This invention relates to a regenerative micro gas turbine, comprising: an upper volute, a lower volute, a compressor, a turbine, a W-tube, two regenerators, two combustion chambers, and two J-tubes. The compressor is disposed within the upper volute, and the turbine is disposed within the lower volute. The regenerators, combustion chambers, and J-tubes are rotationally symmetrical about the upper volute. The upper volute is connected to the cold fluid inlet of each regenerator, the cold fluid outlet of each regenerator is connected to the J-tube, the J-tube is connected to the combustion chamber, the combustion chamber is connected to the lower volute, the lower volute is connected to the center port of the W-tube, and the two side ports of the W-tube are respectively connected to the hot fluid inlets of the two regenerators, thereby realizing the utilization of exhaust gas and improving thermal efficiency.

This invention provides a cylindrical heat exchanger and a micro gas turbine. The cylindrical heat exchanger includes a hollow inner cavity and a circumferential heat exchanger wall. The heat exchanger wall includes a first gas collecting pipe, a second gas collecting pipe, and a three-period minimally oriented curved surface (TPMS) structural unit. Multiple first and second gas collecting pipes are spaced apart circumferentially along the heat exchanger wall and are all arranged axially along the heat exchanger wall. A TPMS structural unit is provided between any two adjacent first and second gas collecting pipes. The TPMS structural unit includes a TPMS wall and TPMS holes. The first gas collecting pipe, the flow channel within the TPMS wall, and the second gas collecting pipe are sequentially connected to form a first flow channel, and the TPMS holes, which are separated by the TPMS wall, form a second flow channel. This invention, by using a TPMS wall surface in the cylindrical heat exchanger, achieves a lightweight structure with a large specific surface area, resulting in higher thermal efficiency, lightweight design, low resistance, and good noise reduction, while also reducing manufacturing costs.

The invention provides a starting method and device of a micro gas turbine, a storage medium and an electronic device.The method comprises the steps that a starting signal of the micro gas turbine is responded, a starting generator is started and enters a first starting stage, and in the first starting stage, the rotating speed of the starting generator is controlled to rise through open loop, the starting generator is connected with the micro gas turbine through a coupling; in the first starting stage, collecting a first bus voltage and a first phase current of the generator in real time; based on the first bus voltage and the first phase current, controlling the starting generator to switch from the first starting stage to a second starting stage; and in the second starting stage, the rotating speed of the generator is continuously increased through closed-loop control to reach the ignition rotating speed of the micro gas turbine. According to the embodiment, the technical problem that in the prior art, starting of the micro gas turbine is controlled through a position sensor, and the occupied space is large is solved, and the cost and the size of a power generation system are reduced.

This invention provides a multi-microgrid collaborative scheduling method based on green energy balance and time-of-use response, relating to microgrid collaborative optimization, renewable energy generation applications, and demand-side response. The method includes: Step S1, establishing various distributed power source models and demand-side response models in the multi-microgrid, including photovoltaic equipment models, wind power equipment models, micro gas turbine models, and energy storage system models; Step S2, constructing a three-layer hybrid game model for the multi-microgrid, including an upper-layer microgrid scheduling model, a middle-layer microgrid-user non-cooperative game model, and a lower-layer cooperative game model based on green energy balance allocation factors; Step S3, using ENGO to solve the three-layer hybrid game model and outputting the optimal scheduling scheme for the multi-microgrid. This invention solves the supply-demand mismatch problem caused by high-proportion distributed renewable energy grid connection conditions and regional differences between different microgrids, optimizing the trading strategy and scheduling scheme of multi-microgrids.

The centrifugal dust removal device comprises a shell, a primary dust removal unit and a fine dust removal unit, the shell comprises a first shell section and a second shell section which are sequentially communicated in the airflow direction, and the inner wall face of the second shell section forms the inner wall face of the fine dust removal unit; the primary dust removal unit is arranged at the air inlet end of the first shell section and used for conducting primary coarse separation on sucked air flow. The fine dust removal unit is arranged in the second shell section and comprises a radial impeller rotationally arranged in the second shell section and a blade flow guider fixedly arranged on the inner wall surface of the fine dust removal unit; the radial impeller is used for receiving the air flow treated by the primary dust removal unit and guiding the air flow from the middle part of the first shell section to the inner wall surface of the second shell section to the periphery in the radial direction; the blade flow guider is configured to conduct secondary flow guiding in the spiral direction on air flow from the outer edge of the radial impeller from the inner wall face of the second shell section to the peripheral area of the rotating shaft where the radial impeller is located.

The application discloses a kind of micro gas turbine online self-adapting high-efficiency intelligent control method, principle as follows: the fuel flow and rotating speed of gas turbine control quantity such as input airborne deep prediction model, the state parameter prediction value of gas turbine is calculated in combination with the environmental condition of current time.The performance deviation determination threshold is set, when the state parameter prediction value is less than or equal to performance deviation determination threshold, the optimal rotating speed is calculated according to high-efficiency optimal rotating speed adjustment control method;When the state parameter prediction value is greater than performance deviation determination threshold, optimal rotating speed control law is obtained based on online deep extreme limit learning machine training, and update.The application decouples strong time-varying factor (environmental temperature) and weak time-varying factor (performance degradation).Strong time-varying factor is considered in high-efficiency control inner loop, and weak time-varying factors such as performance degradation are considered in adaptive update control outer loop, which maximizes the frequency of update control law, and is more convenient for engineering implementation of controller.

The invention discloses a micro gas turbine generator set, and relates to the field of gas turbine generator devices.The micro gas turbine generator set comprises a generator body, a gas inlet is formed in one end of the generator body, the end of the gas inlet is connected with a gas feeding pipe, and the gas feeding pipe is composed of a fixing pipe, a gas injection assembly and a connecting flange; and the fixed pipe is fixedly connected with the gas inlet through the connecting flange. According to the micro gas turbine generator set, fuel gas sprayed out through the discharging holes in different directions can interact in the combustion cavity to form a uniform flow field, the fuel gas can be gradually diffused and fill the whole combustion cavity under the action of the flow field, dead angles and non-uniform areas of fuel gas distribution are reduced, fuel gas backflow is prevented, and the service life of the fuel gas turbine generator set is prolonged. Therefore, the stability of airflow in the combustion cavity can be maintained, it is guaranteed that the combustion process is carried out according to the design direction and mode, the problems of unstable combustion, even backfire and the like caused by gas backflow are solved, and the outflow amount of gas can be accurately controlled.

The invention aims to provide a micro gas turbine oil supply system and a multi-fuel nozzle suitable for a low-temperature environment, the micro gas turbine oil supply system comprises a flame tube outer cylinder, a flame tube inner cylinder, an oil transportation header pipe and an oil transportation branch pipe, the flame tube outer cylinder is mounted outside the flame tube inner cylinder, and a combustion chamber is formed between the flame tube outer cylinder and the flame tube inner cylinder; a flame tube outer tube oil supply interlayer is arranged in the flame tube outer tube, an oil conveying header pipe is communicated with the flame tube outer tube oil supply interlayer, an oil conveying branch pipe is arranged on the flame tube outer tube, one end of the oil conveying branch pipe is communicated with the flame tube outer tube oil supply interlayer, and an oil spraying nozzle is installed at the other end of the oil conveying branch pipe and located in a combustion chamber. By reasonably arranging the structures such as the oil conveying main pipe and the oil conveying branch pipes, the structural strength of the flame tube is enhanced, waste heat of the flame tube is fully utilized for preheating fuel oil, meanwhile, the fuel oil is utilized for cooling the tube wall of the flame tube, and the effect of enhancing the starting performance in the low-temperature environment is achieved.