4789 results about "Power generation system" patented technology

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 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 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 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.

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 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 multifunctional cycle power generation system and method by a gravity lever. The system comprises a supporting rack and a balance weight arranged on the supporting rack and slidably matched with the supporting rack, wherein engines are arranged on one side or two sides of the balance weight; the input shaft of each engine is connected to a transmission shaft; two or more single-directional clutches are fixedly connected to the middle of the transmission shaft; the locking directions of the single-directional clutches are same, gears are fixed to the peripheries of thesingle-directional clutches, and a rack matched with each gear to drive the transmission shaft to rotate is arranged next to each single-directional clutch; at least one pair of racks is arranged on the upper part and the lower part, separately, the racks and the balance weight which reciprocates are in driving movement and the balance weight is arranged on the supporting rack to swing through a lifting mechanism in a reciprocating manner. As the balance weight which swings in the reciprocating manner pulls the racks to drive the transmission shaft to rotate in the single direction, multiple engines can be driven synchronously to generate electricity synchronously, and the power needed by a supporting rack lifting device is alleviated greatly by means of a swing mode like to a lever, so that the energy sources are saved and the power generation efficiency is improved greatly.

The embodiment of the invention provides a digital simulation modeling method and device of a tandem type hybrid electric propulsion system, computer equipment and a medium, and relates to the technical field of simulation modeling, and the method comprises the following steps: constructing a turboshaft prime mover model, constructing a generator model, connecting the turboshaft prime mover model and the generator model in series to generate a generator set, the power generation groups are connected in parallel to construct a turbine power generation system; constructing a propulsion system; constructing a battery energy storage system; constructing a power transmission and distribution system, and respectively connecting the power transmission and distribution system with a turbine power generation system, a propulsion system and a battery energy storage system; and constructing a comprehensive control and energy management system, and outputting a digital simulation modeling result through a turbine power generation system, a power transmission and distribution system and a battery energy storage system. According to the scheme, a simulation modeling method based on multi-physics field coupling double-power-source dynamic response and energy flow regulation and control provides reliable modeling technical support for engineering application of a tandem type hybrid electric propulsion system.

The invention discloses a self-adaptive harmonic current suppression method for harmonic waves of a photovoltaic inverter, which belongs to the technical field of power quality control of a power system and comprises the following steps of: compensating a control strategy through a self-adaptive harmonic component of the photovoltaic inverter by adopting a'detection-reverse injection 'framework; the difference between the residual apparent capacity of the inverter after fundamental wave power supply and the borne harmonic power is used as an adaptive quantity, and the total harmonic distortion rate of the grid-connected point is reduced to the maximum extent on the premise of no overload; the method comprises the following steps: firstly, constructing a real-time harmonic detector based on a cascade generalized integrator; secondly, an inverter impedance model is established from the aspect of impedance stability, and a control parameter stability boundary is determined; then, a self-adaptive harmonic control strategy is introduced into the single-inverter grid-connected system, and a reasonable parameter setting method is provided on the basis of considering stability limitation; afterwards, a capacity-matched harmonic power distribution algorithm is provided for a multi-inverter parallel system, and the efficiency and operation stability of a photovoltaic grid-connected power generation system are improved.

The invention discloses a transcritical carbon dioxide energy storage power generation system for combined supply of cooling, heating and power, and belongs to the technical field of energy storage. Low-pressure carbon dioxide is compressed to be in a supercritical high-pressure state through the structure that the three-stage compressor and the three-stage intercooler are matched; the maximum pressure increase is obtained by using the minimum entropy increase; complete release of high-pressure carbon dioxide is realized through cooperation of a three-stage heat regenerator and a three-stage turbo expander; the condition that the equipment conformity is too high due to single-stage expansion is avoided; the surplus electric energy is stored in the valley period of the electricity price, and the high-voltage carbon dioxide is released for power generation in the peak period of the electricity price, so that economic benefits are obtained through the electricity price difference, and rapid peak regulation capacity is provided for a power grid; the high-pressure carbon dioxide storage tank adjusts the capacity of an air bag through pressure-resistant oil, so that the storage requirement of constant-pressure high-pressure carbon dioxide is met, the material cost of the high-pressure carbon dioxide storage tank is reduced, and the manufacturing cost of a power generation system is reduced; the multi-stage compression efficiency of the low-pressure carbon dioxide storage bag is improved by adopting a double-layer air bag structure.

The invention discloses a range extender power generation system and a control method, and relates to the technical field of power systems. The system comprises an energy storage module, a driving module, a range extender module and a control module, the control module combines model predictive control and reinforcement learning and optimizes energy distribution, so that the system can automatically select an optimal strategy according to different driving working conditions, the energy utilization efficiency is further improved, the total energy consumption is reduced, and the driving efficiency is improved. The efficient cooperative work of the internal combustion engine, the generator and the driving motor is realized; self-adaptive gear shifting control is carried out based on real-time vehicle working conditions, path prediction information and motor efficiency, and it is ensured that a driving motor always works in an efficient area. Besides, the system also has fault diagnosis and fault-tolerant control functions, can detect the performance deviation of the engine and the generator in real time, automatically enters a fault-tolerant mode when a fault occurs, and ensures that the vehicle can safely run to a preset place even under the fault condition by cutting off or adjusting the output of the engine.

The invention discloses a wind power generation system. The system comprises a ground device; the floating device comprises an adjusting air floating piece and a first annular air floating piece, the adjusting air floating piece is movably connected with the ground device, the first annular air floating piece is connected with the adjusting air floating piece, and a through duct is defined by the inner wall of the first annular air floating piece; the wind power generation device is arranged in the duct; and the position of the gravity center of the adjusting air floating piece in the extending direction of the duct is adjustable. According to the wind power generation system, the influence of airflow disturbance, temperature change and buoyancy lift gas leakage on the floating device can be reduced, the phenomenon that the pitching posture change amplitude is large is reduced, particularly, the included angle between the wind receiving face of the blade of the wind power generation device and the airflow direction is closer to the optimal value, the effective wind energy area flowing through the blade is increased, and the wind power generation efficiency is improved. And the fluctuation of the wind energy yield along with the posture is reduced, so that the wind energy utilization efficiency and the power generation output power are improved.

A gate linkage control method and device and a parallel water supply and power generation system are provided. The method comprises the following steps of: acquiring current gate opening degree information of the parallel water supply and power generation system and a current water level of a third trunk canal, the current gate opening degree information comprising current first gate opening degree information and current second gate opening degree information; determining a target gate linkage control strategy of the parallel water supply and power generation system according to the current gate opening degree information of the parallel water supply and power generation system and the current water level of the third trunk canal; and controlling a gate opening degree of a target gate according to the target gate linkage control strategy of the parallel water supply and power generation system.

The invention relates to the technical field of photovoltaic power generation, and discloses a photovoltaic energy storage cooperative power generation system and method.The photovoltaic energy storage cooperative power generation system comprises a photovoltaic assembly, an intelligent string structure, an energy storage system and an intelligent controller, and the photovoltaic assembly comprises an east assembly and a west assembly and is connected to the direct current end of the same inverter to balance the morning and evening power generation peak values. The group string structure adopts a fixed group string and a switchable group string to be connected in parallel, and the group strings are dynamically switched to be connected and disconnected through an intelligent switch to adapt to irradiation fluctuation. The energy storage system comprises an energy storage battery and a bidirectional converter, a direct current end is connected with the battery, an alternating current end is connected with a grid through an intelligent switch, and charging and discharging scheduling under a peak-valley electricity price strategy is supported. The intelligent controller integrates a power prediction module, an economic dispatching module and an equipment protection module, monitors photovoltaic output, an energy storage SOC and a power grid state in real time, and dynamically optimizes string switching, energy storage charging and discharging and inverter operation parameters. Through east-west assembly power balance, flexible string reconstruction and energy storage intelligent scheduling, power generation income maximization and equipment service life prolonging are realized.

The invention discloses a multi-park power-carbon cooperative scheduling strategy considering power generation side life cycle carbon emission. The method comprises the following steps: acquiring related data information in a multi-industrial park system, and constructing a life cycle carbon emission accounting model of a thermal power generation system and a photovoltaic power generation system; a carbon compensation mechanism is provided, the carbon emission reduction characteristic of the photovoltaic power generation system is used for counteracting the life cycle carbon emission of the photovoltaic power generation system in the production, construction and decommissioning stages, and the interior of the life cycle carbon emission responsibility of the photovoltaic power generation system is promoted; an upper-layer model is mainly combined with a carbon compensation mechanism to solve a scheduling strategy of a power distribution network and calculate node carbon intensity, and a lower-layer model is used for calculating node carbon intensity on the basis of dynamic carbon emission factors calculated by the upper-layer model. And performing low-carbon economic dispatching by taking the lowest operating cost and carbon trading cost of the park as a target, solving an optimal production and power-carbon trading strategy of the industrial park through double-layer model iteration, and processing an oscillation phenomenon by adopting a heuristic method based on a bisection method.

The invention belongs to the technical field of ocean renewable energy power generation, and particularly relates to a floating type storm power generation system control method based on knowledge distillation and a partitioning strategy. Constructing a multi-teacher model system; knowledge distillation and student model training; designing a partition control strategy; designing a target function; designing a weight adaptive mechanism; defining constraint conditions; performing upper layer optimization solution; executing a lower-layer control instruction; and dynamically feeding back a correction mechanism. The method covers all operation and survival working conditions of the combined power generation system, on one hand, the modeling difficulty and complexity of a control model are reduced, the real-time performance and reliability of prediction and control are improved, on the other hand, the zoning control strategy is proposed in combination with the stormy wave condition from the angle of engineering application of the combined system, and the control efficiency is improved. Therefore, the energy utilization efficiency and the operation stability of the floating type wind and wave combined power generation system under complex sea conditions are enhanced.

The invention discloses a photovoltaic-wind power-energy storage integrated power generation system based on intelligent optimization in the technical field of intelligent scheduling of energy storage systems. The photovoltaic-wind power-energy storage integrated power generation system comprises a power generation module; the hybrid energy prediction module is used for predicting the load of the power generation module by using a hybrid prediction model according to the meteorological data and the equipment operation state data acquired from the communication module; the optimal scheduling module is used for performing real-time power generation power compensation, short-term charging and discharging scheduling and long-term energy storage capacity proportion planning through multi-time scale cooperation; the energy storage collaboration module is used for constructing a full-life-cycle virtual mirror image of the wind and light storage system by using a digital twinning technology and establishing a time-sharing hierarchical energy storage architecture; a communication module and a feedback module. According to the invention, through power generation prediction, energy supply scheduling and energy storage ratio planning on multiple time scales, the overall operation efficiency and stability of the system are improved, the service life of equipment is optimized, the equipment, manual and leveling cost of kilowatt-hour electricity is reduced, and the shutdown loss of abandoning light and electricity is reduced.

The invention discloses a water electrolysis hydrogen production control method and device based on wind and light power generation and electronic equipment. The method comprises the following steps: acquiring the operation cost, the electrolytic cell efficiency and the power grid interaction power variation of the wind-solar hybrid power generation hydrogen production system in a first sampling interval; constructing a target function based on the operation cost, the electrolytic cell efficiency and the power grid interaction power variation; determining the wind power generation predicted power of a wind power generation system in the wind-solar hybrid power generation hydrogen production system in the prediction time period and the photovoltaic power generation predicted power of a photovoltaic power generation system in the prediction time period according to a second sampling interval; and based on the wind power generation predicted power and the photovoltaic power generation predicted power, determining a water electrolysis hydrogen production control strategy (including an electrolytic cell power instruction value and an energy storage compensation power instruction value) by taking the minimum function value of the target function as a target. According to the invention, the technical problems of unbalanced power supply and demand and unstable power grid interaction in the wind-solar hybrid power generation hydrogen production system in the prior art are solved.

The invention relates to a photovoltaic power generation system fault diagnosis method based on a dual-channel CNN and time-frequency characteristics. The method comprises the following steps: S1, collecting and preprocessing historical time sequence data of a photovoltaic power generation system; s2, copying the preprocessed data set to obtain a one-dimensional time sequence data set and a two-dimensional time-frequency graph data set; s3, inputting a dual-channel CNN for feature extraction, enabling a one-dimensional time sequence data set to enter a 1DCNN channel, and enabling a two-dimensional time-frequency graph data set to enter a 2DCNN channel; s4, performing dynamic fusion on the features extracted by the dual-channel CNN through an SE attention module; s5, constructing a classifier based on the SVM, and optimizing two key parameters of a kernel function of the classifier by adopting an adaptive inertia weight particle swarm algorithm to obtain a final SVM classifier; and S6, inputting the fused features into a final SVM classifier, and carrying out fault diagnosis classification. The complex fault diagnosis efficiency and reliability of the photovoltaic power generation system are effectively improved.

The invention discloses a photovoltaic power generation system maximum power tracking control method, and relates to the technical field of power system operation control, and the method comprises the steps: collecting operation data of a photovoltaic power generation system, and carrying out the preprocessing of the operation data, and obtaining feature data, so as to construct a maximum power point prediction model; training a maximum power point prediction model based on the obtained historical operation data sample, and predicting a target working point by using the trained maximum power point prediction model; and in combination with the target working point and an ant colony optimization algorithm, determining an optimal working point, and obtaining control parameters of maximum power tracking by constructing an adaptive voltage controller. According to the MPPT dynamic prediction method based on deep learning, historical operation data and environmental parameters are fused through the LSTM neural network, tracking lag under the conditions of illumination abrupt change and local shadow is avoided, and the prediction precision and response speed of the maximum power point are improved.

The invention relates to the technical field of power supply thermal management control, and discloses a high-voltage variable-frequency power supply thermal management control method for improving energy efficiency, and the method comprises the following steps: carrying out the order reduction processing in combination with a solar high-temperature thermal power generation system, and obtaining a low-dimensional model; carrying out data fusion by using Gaussian process regression and a Kalman filtering algorithm, and reconstructing temperature field information of the system; establishing a multi-objective optimization function, and dynamically adjusting a weight optimization objective; generating a control parameter sequence by using an improved particle swarm optimization algorithm, and adjusting a control decision in real time through iterative optimization; the optimized control parameters are input into a multi-rate hierarchical control system for division execution; and detecting a fault type and switching to a corresponding fault-tolerant control mode. According to the method, a multi-physical field coupling model and an intrinsic orthogonal decomposition technology are combined, an accurate coupling model of an electromagnetic field, a temperature field and a flow field in the high-voltage variable-frequency power generation system is established, through order reduction processing, the dimension of the model is reduced, the calculation complexity is remarkably reduced, and the calculation efficiency is improved.

The invention relates to the technical field of ship propulsion power generation system control, in particular to a constant-power rotating speed control method and system for a ship shaft generator, and the method comprises the following steps: obtaining operation state parameters and ship environment parameters of a ship propulsion power generation system; based on the operation state parameters and the ship environment parameters, the influence of the adjusting action of the shaft generator on the rotating speed of a main propulsion diesel engine and the influence of the adjusting action of a main propulsion diesel engine speed adjusting device on the output power of the shaft generator are pre-judged, and an interactive pre-judgment result is obtained; according to the interactive pre-judgment result, jointly deciding and generating a first adjusting instruction for adjusting an axle generator and a second adjusting instruction for adjusting a main propulsion diesel engine speed adjusting device; by introducing an interactive pre-judgment and joint decision-making mechanism, the negative interaction between the shaft generator and the main propulsion diesel engine speed regulation device can be effectively identified and eliminated, and the operation stability and safety of the ship under the severe sea condition are improved.

The invention discloses a wind-solar complementary power generation system and method based on intelligent monitoring, belongs to the field of wind-solar complementary power generation, and is used for solving the problems of fixed parameter weight, lack of environment-equipment coupling analysis and large power generation capacity prediction deviation of a traditional system. Generating a standard matching curve template to match the current working condition, and monitoring a working condition fluctuation index to trigger updating; key equipment parameters are screened based on historical data and association degree, an environmental working condition scene association rule base is constructed, generating capacity fluctuation is judged through double references, and a core influence chain is traced; matching historical samples through Euclidean distance to calculate an initial generating capacity predicted value, constructing three types of correction coefficients of environmental deviation, equipment health and a core influence chain, and obtaining a comprehensive correction factor and a correction predicted value; the monitoring accuracy and the fluctuation attribution capability are improved, the prediction deviation is reduced, and the system operation strategy is ensured to adapt to the actual power generation demand.

The invention discloses a power system energy management method and equipment based on hydrogen energy hybrid power, belongs to the technical field of energy management, and is used for solving the technical problems that the random load characteristic of field operation of an existing tractor is complex, and a hybrid power tractor is uneven in ploughing and sowing under the complex terrain operation working condition and the tillage state. The method comprises the following steps: collecting multi-modal data of a farmland environment; performing vehicle speed prediction processing on the tractor under related environment characterization to obtain a dynamic prediction vehicle speed of the tractor; carrying out rolling optimization processing on the dynamic prediction vehicle speed under related output power to obtain the driving demand power of the tractor; and superposing the driving required power and the pre-obtained tillage tool required power to obtain the total required power of the power system, decomposing the required power in a frequency domain according to a formulated variational mode decomposition rule, and endowing the required power to a driving power generation system formed by a fuel cell, a power cell, a hydrogen internal combustion engine and a generator.

The invention relates to the technical field of power system optimization scheduling, and discloses a distribution robust opportunity constraint low-carbon economic scheduling method considering an N-1 safety criterion, and the method comprises the steps: building a wind-solar-energy-storage combined power generation system carbon transaction model which considers the bidirectional flowing of a carbon emission right, and taking the minimization of the total operation cost of the wind-solar-energy-storage combined power generation system as a target; establishing a low-carbon economic dispatching model considering the safe operation constraint of the power grid; aggregating wind and light output to establish a fuzzy set based on uncertainty moment information, establishing a distribution robust opportunity constraint economic dispatching model considering wind power uncertainty, and adopting a conditional value-at-risk theory to measure a system operation risk; on the basis, a power transmission line N-1 safety constraint rapid dynamic checking and adding method is provided based on branch circuit breaking distribution factors, and an economic dispatching model considering an N-1 safety criterion is established and solved. The power supply reliability of the system can be ensured under the condition of key line faults, and the solving efficiency and the practicability of the scheduling scheme are improved.

The invention relates to the technical field of solar heat utilization, and discloses an electric energy conversion and power regulation and control method based on a solar heat exchange coupling system, which comprises the following steps: calculating the phase change latent heat release rate and pressure and temperature sensitivity of a working medium in real time through a nonlinear prediction model, and establishing a compensation factor to dynamically correct the fusion weight of temperature and pressure signals; the shape memory alloy runner is driven to adjust the branch angle in a self-adaptive mode within the range of 45-75 degrees; constructing an energy potential matching matrix of the temperature gradient of the heat storage module and the output voltage of the power generation system, and combining a pulse type energy release strategy to maintain power stability; and controlling adjacent flow channel branches to generate a phase difference based on pressure fluctuation spectrum characteristics to realize fluctuation offset. According to the method, through closed-loop control of thermodynamic parameter compensation and flow channel dynamic adjustment and space-time collaborative optimization of energy potential matching and pulse release, continuous and stable power generation under the intermittent irradiation condition is achieved, the overall energy efficiency of the system is improved, and operation is more stable.