8315 results about "Power generation system" patented technology

The present invention relates to a production and energy system based on a new energy-powered submerged arc furnace, and a related control method. The production and energy system comprises a power transmission and distribution system, a renewable energy power generation system, an energy storage system, and a submerged arc furnace-based production system. The power transmission and distribution system is respectively connected to the renewable energy power generation system, the energy storage system, and the submerged arc furnace-based production system. The production and energy system further comprises an energy control system. The energy control system comprises: an integrated regulation and control system used for performing integrated regulation and control on the production and energy system by means of the power transmission and distribution system; a renewable energy power generation control system used for controlling operation of the renewable energy power generation system; an energy storage control system used for controlling operation of the energy storage system; and a submerged arc furnace-based production control system used for controlling operation of the submerged arc furnace-based production system. Compared with the prior art, the present invention has the advantages of optimizing energy utilization, achieving environmental protection and low-carbon development, improving the stability and reliability of the energy system, etc.

The invention provides an intelligent operation and maintenance method and system for a photo-thermal power generation system based on the Internet of Things, and relates to the technical field of information technologies, and the method comprises the steps: obtaining temperature, humidity and vibration environment parameter data collected by a sensor disposed on power generation equipment; and receiving the environmental parameter data, comparing the environmental parameter data with a preset threshold value, and judging whether the environmental parameters exceed a normal range or not. According to the method, environmental parameters such as temperature, humidity and vibration of the equipment are collected in real time by arranging the sensors, when the parameters exceed the preset threshold value, performance parameter collection is triggered, weighted average calculation is carried out in combination with the environmental parameters, and the equipment health index is obtained; according to the method, intelligent assessment and predictive maintenance of the health state of the power generation equipment are realized, the operation reliability and the maintenance efficiency of the equipment are improved, the equipment fault risk is reduced, and the service life of the equipment is prolonged.

The invention discloses a distributed optical storage micro-grid control system based on a large model and an energy management method, and the system collects various data through a data collection module, captures a time sequence long-term dependence relation based on a self-attention mechanism through a large model prediction system, and predicts the photovoltaic power generation amount, the load demand and the energy storage charging and discharging demand. The network-forming inverter integration module dynamically adjusts the output power, the energy storage strategy and the interaction power of the power generation system according to a prediction result, the distributed control strategy module adopts a distributed consensus algorithm to realize information sharing and collaborative decision making, and the energy management module makes a multi-time scale plan and introduces an economic optimization model. The energy management method comprises the steps of data collection, real-time monitoring, prediction modeling, plan making, distributed control, economic optimization, system monitoring, fault processing and the like. The method can improve the new energy utilization rate, the electric energy quality and the system stability, adapts to the change of environmental factors, and maximizes the economic and environmental benefits of the micro-grid.

The invention discloses an intelligent power grid fault early warning method and system for new energy power generation, and relates to the technical field of power grid automatic early warning, and the method comprises the following steps: 1, collecting key operation parameters including voltage, current, temperature and the like from new energy power generation equipment in real time, forming collection data, carrying out the primary processing, carrying out the cleaning, and carrying out the fault early warning; and then key features are extracted, so that a basis is provided for subsequent fault analysis. According to the intelligent power grid fault early warning method and system for new energy power generation, various potential fault modes can be accurately identified, an early warning model is continuously optimized through a machine learning algorithm, and the early warning accuracy and reliability are improved; according to the invention, the system reduces the dependence on manual inspection and fault processing, reduces the maintenance cost of equipment and the workload of operation and maintenance personnel through the intelligent fault early warning and automatic adjustment functions, and improves the overall operation efficiency of a new energy power generation system.

The invention, which relates to the technical field of intelligent power dispatching, discloses an optimal dispatching method for a water-wind-light complementary power generation system based on wind-light prediction, and the method comprises the steps: collecting historical meteorological data of a target power generation field, carrying out meteorological clustering, and generating a plurality of weather scene categories; collecting real-time wind and light meteorological data and carrying out periodic prediction to obtain a target weather scene change sequence; generating an initial power supply strategy based on the sequence; analyzing the incidence relation between the wind and light environment indexes and the power generation modules, extracting key influence factors and generating a multi-dimensional power generation evaluation network; and optimizing the initial power supply strategy by using the evaluation network to form a power supply optimization strategy, and implementing dynamic power generation scheduling. The technical problems of low power generation efficiency and low reliability caused by difficulty in realizing flexible power generation proportion adjustment of an existing water-wind-light complementary power generation system are solved, and the technical effects of dynamically optimizing and dispatching the power supply proportion of the water-wind-light complementary power generation system and improving the power generation efficiency and the reliability of the system are achieved.

The invention relates to the technical field of data processing, and discloses a load demand prediction method and system for a distributed new energy power generation system, and the method comprises the steps: obtaining historical data corresponding to power generation equipment and a load cluster in the distributed new energy power generation system, extracting feature parameters from the historical data, and carrying out the clustering analysis, dividing the power generation equipment and the load cluster into different subsets; processing the historical data corresponding to the power generation subsets and the load subsets to obtain a power generation output curve and a power utilization load curve; by analyzing the relevance between historical power generation and consumption data, obtaining a relevance index so as to fuse a power generation output curve and a power consumption load curve into a power generation load fusion model; and a parameter identification method is used to optimize the power abrupt change rate and the load change rate corresponding to the historical power generation data and the historical power utilization data, so that the power generation load fusion model is integrated into a generalized load model structure, a fusion equivalent model is obtained, and the load demand of the distributed new energy power generation system is accurately predicted.

The invention discloses an intelligent inspection system and method for a photovoltaic module of a photovoltaic power generation system, and relates to the technical field of intelligent inspection. The method comprises the steps that a high-definition camera and an infrared imager carried by an unmanned aerial vehicle automatically inspect a photovoltaic panel, real-time operation data are acquired and transmitted to a preprocessing module, the preprocessing module optimizes an image through denoising, graying, contrast enhancement and geometric correction, a Unet algorithm is utilized to accurately segment strings and assemblies in the image, and the photovoltaic panel is obtained. And a defect identification module analyzes the processed image, calculates the average temperature, compares the average temperature with a threshold value, identifies hot spot defects, and finally outputs specific information, fault types and maintenance suggestions of a defective component by the system, and generates an inspection report. According to the technical scheme, a fault source can be quickly positioned, and cloud storage and an AI analysis tool are used for managing data and predicting potential maintenance requirements.

The invention discloses a carbon capture and energy storage and thermal power generation coupled energy comprehensive utilization system, which comprises a thermal power generation system, an energy storage system and a carbon capture system, and is characterized in that a compression energy storage unit of the energy storage system is coupled to a feed water heat regeneration unit of the thermal power generation system; an expansion energy release unit of the energy storage system is coupled to a steam turbine generator set of the thermal power generation system, and a steam-water cycle working medium in the thermal power generation system serves as a heat storage and cold storage medium of the carbon dioxide energy storage system. The carbon capture system is coupled between the thermal power generation system and the carbon dioxide energy storage system, captures carbon dioxide gas in the flue gas, inputs the carbon dioxide gas into the carbon dioxide energy storage system to serve as a circulating working medium, and heats the circulating working medium in the expansion energy release unit through waste heat of the flue gas. According to the scheme, the operation efficiency of the thermal power generation system and the operation efficiency of the carbon dioxide energy storage system can be improved, the overall energy utilization efficiency of the system can be improved, and meanwhile the emission amount of gas pollutants is reduced.

An integrated energy system includes a nuclear thermal plant situated on a nuclear site. The nuclear thermal plant produces thermal energy that is transported to a thermal energy storage system located outside the nuclear site. The thermal storage system is thermally coupled to a power generation system which is also remote to the nuclear site. By this arrangement, the nuclear thermal plant is isolated and decoupled from the power generation system. The nuclear thermal plant may supply thermal energy upwards of 800° C. or more to be stored at the thermal energy storage system until needed such as for industrial heat, power generation, or other uses. The thermal storage system is source agnostic, and one or more additional thermal energy generators, such as additional nuclear reactors, solar thermal plants, or other thermal energy generators can be coupled to a common thermal storage system and power generation system.

A self-adaptive control technology for rotational inertia and damping coefficient of an optical storage VSG system comprises a grid-connected system overall structure which is provided with an energy storage device, takes photovoltaic as a source end and is controlled by a grid-connected inverter virtual synchronous machine, and the grid-connected system overall structure is formed by electrically connecting a photovoltaic array, the energy storage device, an inverter, a DC / DC (Direct Current / Direct Current), a converter and a filter; the energy storage device is additionally arranged at a direct current bus of the system, the energy storage device and the photovoltaic array form a common direct current bus structure, the inverter is controlled by a virtual synchronous machine, inertial response and frequency adjustment are provided for the optical storage power generation system, and the power shortage between the photovoltaic array and the photovoltaic inverter is made up by adding the energy storage device; and the frequency deviation and the frequency change rate are introduced into VSG parameters, and the inertia and damping parameters of the VSG system are adaptively adjusted, so that the frequency stability of the micro-grid during power sudden change is improved, and the direct-current measurement energy storage power balance is met.

The invention discloses a network-following flexible switching prediction control method and system for a grid-connected converter, and the method comprises the steps: calculating a short-circuit ratio according to obtained power grid impedance data, and if the short-circuit ratio is smaller than a switching threshold value, indicating that the power grid strength is reduced, and otherwise, indicating that the power grid strength is not reduced. At the moment, a prediction control reference current in the switching process is calculated through an adaptive switching function in a first switching function form and a current reference value in a grid following mode and a grid construction mode, and the grid-connected converter is switched from the grid following mode to the grid construction mode; and otherwise, indicating that the power grid intensity is increased, calculating a prediction control reference current in a switching process through an adaptive switching function in a second switching function form and a current reference value in a grid following mode and a grid construction mode, and switching the grid-connected converter from the grid construction mode to the grid following mode. Therefore, according to the adaptive switching function-based network-following flexible switching prediction control method, rapid and flexible switching of the grid-connected converter module is ensured, and the stability and the grid-connected output efficiency of the converter in the new energy grid-connected power generation system can be effectively improved.

A system for power generation. The system includes a flywheel assembly including matter therein and a chamber arrangement enclosure surrounding the flywheel assembly, wherein the chamber arrangement enclosure is configured to store antimatter therein using magnetic and / or electrostatic fields. Herein the antimatter in the chamber arrangement enclosure is configured to cause rotation of the flywheel assembly, said rotation providing a driving force to the flywheel assembly for generation of power via a turbine connected thereto.

The invention discloses a wave power generation efficiency optimization control method and device based on artificial intelligence. The method comprises the steps that S1, a marine environment data set is collected; s2, forming a preprocessed marine environment data set; s3, according to the preprocessed marine environment data set and the structure parameters of the wave energy power generation system, constructing an optimization objective function; s4, performing global search on the optimization objective function by using a bitter fish optimization algorithm, initializing an optimization population, and determining a plurality of candidate optimal parameter regions; s5, adopting an adaptive jellyfish search algorithm to perform local fine search on the area where the candidate optimal parameters are located, updating and optimizing the key control parameters, and obtaining the key control parameters for further improving the electric energy conversion efficiency; and S6, the key control parameters are applied to the wave energy power generation system, and dynamic closed-loop feedback control is formed. According to the invention, the system is always in an optimal working state, so that the electric energy conversion efficiency is further improved, and the energy loss is remarkably reduced.

The invention relates to the technical field of ocean renewable energy power generation, and particularly discloses a floating type wind wave combined power generation system model prediction control method, which comprises the following steps: establishing a nonlinear mathematical model of a floating type wind wave combined power generation system; determining a steady-state working condition point of the system; carrying out linear processing on the nonlinear model; constructing a discrete time prediction model; designing a target function; defining a state and an input constraint condition; performing real-time rolling optimization solution; and dynamically feeding back a correction mechanism. Starting from a wind wave excitation mechanism, on one hand, response in a turbulent wind frequency band is reduced through fan variable pitch control, and on the other hand, response in a wave frequency band is reduced through wave energy power generation device PTO control, so that tower footing load is effectively reduced, and pitching motion of a platform is restrained. Global multi-objective optimization is realized by designing an objective function, defining constraint conditions and solving the objective function.

The invention relates to the technical field of photovoltaic power generation energy storage grid connection, and discloses an optical storage VSG control method and system for coordinating power maximum output and energy storage, and the method comprises the steps: building an output power-angular frequency model between the output power of an inverter and the angular frequency of a VSG virtual rotor based on a VSG control principle; establishing a direct current capacitor voltage-output power model; establishing a control model of the proportional relation between the direct current side voltage and the output frequency deviation; simulating droop control between the input power and the rotor speed in the synchronous generator, associating the battery power with the direct current side voltage, establishing a battery droop control strategy, and transferring the battery power change response demand to a direct current side capacitor; active-power control in a traditional photovoltaic energy storage power generation system control principle is optimized, and a battery droop control strategy is established, so that battery power change response demands are transferred to a direct current side capacitor, more photovoltaic energy is utilized, and demands and adverse effects on photovoltaic power generation absorbed by a local battery are reduced.

The invention discloses a layered energy management method of a fuel cell hybrid tramcar with self-adaptive working condition perception. In the recognition layer, a sliding window mechanism is adopted to extract time domain and frequency domain features of load conditions, feature data are clustered based on a spectral clustering algorithm driven by a deep auto-encoder, a data set with category labels is obtained, and a deep dynamic learning vector quantization neural network classifier is trained; in the strategy layer, a double-delay depth deterministic strategy gradient reinforcement learning algorithm is adopted, a reward function is constructed, and lithium battery SOC fluctuation penalty term limit parameters in the reward function are adaptively adjusted according to the real-time load working condition category output by the recognition layer; training the reinforcement learning agent to obtain an optimal power distribution scheme between the multi-stack fuel cell power generation system and the lithium battery; and according to the performance degradation degrees of different fuel cell stacks, a distributed cooperative control strategy considering performance difference is adopted to distribute the output power of each stack, so that the coordinated control of the running state of the multi-stack fuel cell power generation system is realized.

The invention relates to an optimal configuration and scheduling method and system for a wind-solar hydrogen production and storage system matched with a hydrogen demand, and the method comprises the following steps: converting a configuration problem of the wind-solar hydrogen production and storage system into a double-layer optimization problem according to the demand matching of the wind-solar hydrogen production and storage system and a hydrogen end, initial hydrogen production system parameters, initial new energy power generation system parameters and initial hydrogen storage system parameters are set according to the hydrogen demand curve, and new energy configuration energy storage system parameters and hydrogen production electrolytic cell parameters are determined to serve as inputs for establishing a wind and light hydrogen production and storage system optimization model based on constraint conditions; the upper-layer model takes the minimum life cycle cost of the wind-solar hydrogen production and storage system as an optimization target, and the lower-layer model takes the optimal efficiency of the wind-solar hydrogen production and storage system as an optimization target; solving the double-layer optimization model by adopting a beetle antennae search algorithm to obtain the capacity optimal configuration and the whole life cycle minimum cost of the wind and light hydrogen production and storage system; and according to the hydrogen utilization load interval prediction result and the hydrogen storage capacity, the current-day hydrogen production electrolytic cell operation strategy is optimized.

A black start system disclosed by the present invention comprises a first black start power supply, a black start power supply switch and a control system, the black start power supply switch supplies energy to the control system after being triggered by the first black start power supply, and the first black start power supply supplies energy through an energy storage battery; the invention discloses a micro-grid which comprises a power generation system and the black-start system, the invention also discloses a black-start method applied to the micro-grid, the black-start power supply triggers the black-start power supply switch and then supplies energy to the control system, and the power generation system is gradually started to the whole micro-grid. According to the invention, the energy storage battery is used as energy for black start, the characteristic that the energy storage battery performs electric quantity early warning to keep the lowest electric quantity and low electric quantity from the power grid for charging is utilized, stable and continuous energy can be provided for black start, and meanwhile, the situation that the energy storage battery is damaged due to the fact that the electric quantity of the energy storage battery is exhausted is avoided.

The invention relates to the technical field of peak regulation of power generation systems, in particular to a multi-mode power generation system for a new energy large base and an operation method of the multi-mode power generation system. The multi-mode power generation system comprises a thermal power station and a fused salt energy storage power station. The thermal power station comprises a boiler, a first turbine, a first water return unit and a first generator; the fused salt energy storage power station comprises a high-temperature fused salt tank, a low-temperature fused salt tank, a fused salt heating unit, a steam-water heating unit, a second water return unit, a second steam turbine and a second generator; an air inlet of the fused salt heating unit is configured to obtain steam flowing out of the boiler, and a second discharging opening of the fused salt heating unit is connected with the first water return unit; an air outlet of the steam-water heating unit is connected with the first steam turbine and the second steam turbine. The first water return unit and the second water return unit are connected with a second feeding port of the steam-water heating unit. The multi-mode power generation system can set different operation modes according to different requirements, so that the new energy large base can meet higher requirements.

The invention discloses a control method and device for a supercritical carbon dioxide recompression cycle power generation system, and the method comprises the steps: predicting the load change of the supercritical carbon dioxide Brayton cycle power generation system according to the historical operation data and current operation state of the supercritical carbon dioxide Brayton cycle power generation system; predicting the surge risk of the compressor according to the load change of the supercritical carbon dioxide Brayton cycle power generation system; according to the load change of the supercritical carbon dioxide Brayton cycle power generation system, the split ratio is adjusted, so that the recompression Brayton cycle power generation system operates at the optimal efficiency; and the flow, pressure and temperature of a compressor working medium in the supercritical carbon dioxide Brayton cycle power generation system are adjusted according to the surge risk, so that the compressor works in a non-surge area. When the supercritical carbon dioxide Brayton cycle power generation system approaches the surge boundary, the system adjusts the opening degree of the bypass valve in advance for flow release, so that active closed-loop control of surge prediction-response-relief is achieved, a compressor is effectively prevented from entering an unstable area under sudden load change, start and stop or extreme disturbance, and the service life of the compressor is prolonged. And the safety stability and the operation continuity of the system are obviously improved.

The invention discloses an intelligent optimization control method for a wave power generation device based on an improved MPC, and the method comprises the steps: collecting the wave height, period, flow velocity and device motion posture data in real time through a multi-source sensing module, constructing an exciting force prediction model based on a bidirectional long-short-term memory network, and achieving the precise prediction of the wave exciting force of n control periods in the future; prediction data and real-time feedback signals are input into an improved jellyfish search optimization algorithm, through a two-stage chaotic mapping perturbation mechanism, the convergence speed and the global optimization ability of the algorithm are remarkably improved, and finally optimal electric damping control parameters are output. Compared with a traditional MPC method, the method has the advantages that a feed-forward-feedback composite control framework is formed by fusing deep learning prediction and an intelligent optimization algorithm, so that the energy efficiency conversion efficiency of the power generation system is improved.

The invention relates to a sustainable and stable output control method for grid-connected output power of a photovoltaic power generation system, and belongs to the technical field of photovoltaic power generation. According to the method, based on an existing photovoltaic power prediction model, a constant output power reference value of each time period is formulated, visual advance of the photovoltaic power generation power and adjustability of the photovoltaic power generation output power by a power grid are realized, and the problems of randomness, intermittency and uncontrollability of a photovoltaic power generation system under the influence of environmental meteorological factors are solved. Through the time-phased method, the power fluctuation needing to be adjusted of the energy storage system is remarkably reduced, so that the configuration capacity required by energy storage is effectively reduced, the cost is reduced, and the economical efficiency and the operation efficiency of the system are improved. Through the coordinated operation strategy of the photovoltaic-storage combined system, the stability and controllability of the photovoltaic system are enhanced, and stable grid connection of the photovoltaic system is ensured. According to the invention, large-scale grid connection of photovoltaic power generation is promoted, and the economic benefit of the photovoltaic-energy storage combined system and the operation reliability of the power grid are further improved.

The invention relates to the technical field of multi-energy complementary power generation, and discloses an industrial steam supply peak shaving system and method coupling fused salt heat storage and solar energy, and the industrial steam supply peak shaving system comprises a coal-fired power generation system and an industrial steam supply system; in the heat storage mode, the boiler, the steam cooler and the condenser are sequentially connected; in the heat release mode, the high-pressure heater, the primary feed water heater and the low-pressure cylinder are sequentially connected through pipelines; and the feed pump, the secondary feed water heater and the boiler are connected in sequence. In the low ebb of the electrical load, solar energy is used for heating fused salt to store heat, and part of high-temperature steam is extracted from steam-water circulation of the improved coal-fired power generation system to store the heat in a heat storage device and does not enter a steam turbine for power generation; the power load output is adjusted by adjusting the thermal load output of the thermodynamic system in the power generation process, and load decoupling of the boiler and the steam turbine is achieved. And in the electrical load peak, the stored heat energy is released back to steam-water circulation, and the electrical load of the coal-fired power generation system is increased.

This application provides a wind-resistant, stable power generation agricultural-solar hybrid system, including pillars, beams, photovoltaic supports, and photovoltaic panels erected in farmland. The photovoltaic panels are equipped with a buffer mechanism and an overload release device. The buffer mechanism effectively absorbs kinetic energy and reduces the swaying amplitude and speed of the photovoltaic panels through its elasticity, and automatically resets the photovoltaic panels after strong winds. The overload release device protects the photovoltaic panels from damage caused by strong winds. This application overcomes the technical defects of existing static wind-resistant systems, reduces system wind resistance, can withstand super typhoons, provide stable power generation and irrigation, and promote agricultural production.

The invention provides a fused salt heat storage coupled compressed air energy storage cooperative power generation system and a control method thereof.The fused salt heat storage coupled compressed air energy storage cooperative power generation system comprises a data acquisition module, a multi-target optimization decision algorithm based on dynamic programming, an energy distribution module, a dynamic adjustment module and a safety protection module; a multi-objective optimization decision algorithm based on dynamic programming automatically switches system working modes, an energy distribution module optimizes fused salt and air flow of a high-temperature fused salt air heat exchanger, and a dynamic adjusting module adjusts fused salt pump flow, compressor rotating speed and valve opening in real time. And the safety protection module is used for monitoring and preventing over-temperature, fused salt solidification and pipeline corrosion. The problems that in the prior art, a fused salt heat storage type photo-thermal power generation system is insufficient in heat storage capacity under the extreme weather condition, a compressed air energy storage system depends on fossil fuel, the afterburning efficiency is low, and the energy loss is caused due to the low system coupling degree can be effectively solved.

The invention discloses a supersonic aircraft head thermal protection structure, and belongs to the technical field of hot end component cooling, the supersonic aircraft head thermal protection structure comprises a cooling system, a preheating system, a CBC power generation system and a secondary cooler, the cooling system comprises a coolant liquid storage tank, an electromagnetic adjustable pump and a cooling channel arranged in the wall surface of the aircraft head, a cooling medium flowing in a direction opposite to that of external high-temperature gas is arranged in the cooling channel; the preheating system comprises a fuel tank, a fuel adjustable pump and a fuel channel; the secondary cooler is used for transferring heat in the cooling channel into the fuel channel; the CBC power generation system comprises a heater, a primary cooler and a circulating working medium, the heater is used for transferring heat in the cooling channel to the circulating working medium, and the primary cooler is used for transferring heat in the circulating working medium into the fuel channel. Efficient thermal protection of the head of the supersonic aircraft can be achieved, the risk of structural failure caused by high temperature is reduced, and the safety of the aircraft is improved.

The invention discloses a photovoltaic power prediction method, device and equipment, a medium and a product. The method comprises the following steps: acquiring photovoltaic power data of a photovoltaic power generation system, and meteorological data and satellite remote sensing data of an area where the photovoltaic power generation system is located; determining multi-dimensional feature data according to the photovoltaic power data, the meteorological data and the satellite remote sensing data; processing the multi-dimensional feature data based on a multi-level dynamic system and the dynamic feature weight, and determining weighted feature data; and generating photovoltaic power prediction data based on the weighted feature data and a pre-constructed multi-channel nested neural network model. Data from different sources are combined to be analyzed through a multi-level dynamic system, deep mining and accurate prediction of photovoltaic power dynamic characteristics are achieved, and the problem that in the prior art, signal extraction is not sufficient is solved. Through the multi-path nested neural network, fusion of cross-level features is realized, the precision of the prediction model under variable weather conditions is effectively improved, and the prediction precision is improved.

The invention discloses a generator access control method of an energy storage power generation system. The method comprises the following steps: connecting a generator to an alternating current side of an energy storage converter through a control switch; when the energy storage converter is in an off-grid state, if the total power supply amount of the energy storage converter meets the load requirement, the generator is disconnected with the load through the control switch, and at the moment, the energy storage converter carries out loading independently; if the total power supply quantity of the energy storage converter does not meet the load requirement, judging the output power of the generator; if the output power of the generator is not overloaded relative to the load demand, the control switch is closed to enable the generator to be loaded independently, and the energy storage converter seals waves; otherwise, the control switch is closed to enable the energy storage converter and the generator to be jointly loaded. The method has the advantages that the energy storage converter is subjected to wave sealing after the generator is connected into the system, power can be prevented from being accumulated on the bus for a long time, and the overvoltage risk of the bus is avoided.

The invention discloses an expressway slope photovoltaic grid-connected power generation system for cross energy fusion, and relates to the technical field of expressway slope photovoltaic grid-connected power generation. Comprising a main power grid dispatching sensing module, a reverse power transmission characteristic data acquisition module, an impact strength evaluation and classification module, a graded power regulation and control execution module and a self-adaptive regulation and control feedback module, the reverse power transmission characteristic data acquisition module is used for acquiring electrical characteristic data and power fluctuation characteristic data of the photovoltaic grid-connected point in real time and constructing a reverse power transmission evaluation data set when the judgment result is that the photovoltaic grid-connected point encounters transient reverse power transmission; and the impact strength evaluation and classification module determines the impact strength of the reverse current when the photovoltaic grid-connected point encounters transient reverse power transmission based on the constructed reverse power transmission evaluation data set, and classifies the impact strength. According to the invention, the problem that the photovoltaic grid-connected point cannot be dynamically regulated and controlled under the impact of transient reverse power transmission is solved, and the self-adaptive power regulation and control effect of impact strength identification and grading response is realized.

The invention provides a transient current capability improvement control system and method of a wind and light power generation system. The system comprises a self-synchronizing voltage source control module, a junction temperature prediction module, a transient current improvement control module, a current instruction calculation module and a transient current precise control module. According to the invention, online observation of the junction temperature of the wind-solar converter power device can be realized, the maximum short-circuit current which can be output can be accurately predicted, the DC bus voltage, the switching frequency and the modulation strategy are adjusted when the power grid has a fault, the junction temperature of the power device is reduced, and the transient current endurance capability of the power device is improved. And the transient current is accurately controlled to limit the utilization of the transient capability of the power device.