1467 results about "Stored energy" patented technology

The invention discloses a wind-light-hydrogen multi-energy complementary system cooperative operation optimization and comprehensive benefit evaluation method, which relates to the technical field of electric energy storage, and comprises the following steps: constructing a hybrid power flow model containing electricity, hydrogen and heat coupling, taking whole life cycle cost and new energy consumption as double targets, introducing grid-connected and off-grid risk constraints, and optimizing equipment capacity configuration; a scheduling baseline and an intra-day dynamic correction strategy are formulated in the day-ahead stage, and hybrid energy storage cooperative control is combined to improve the response speed and flexibility of the system to wind and light fluctuation; a peak regulation and frequency modulation mode is switched according to the power grid state, a power response model is established, fluctuation is stabilized through hydrogen energy storage, the stability of the power grid is enhanced, and auxiliary service benefits are created; the performance of the system is evaluated from the three dimensions of efficiency, economy and interactivity, dynamic weight and Monte Carlo simulation optimization are utilized, system parameters are continuously optimized through a feedback mechanism, and the self-evolution ability is formed. The problem that system instability and economy are difficult to take into account due to wind and light fluctuation is solved.

The disclosure relates to an audible indicator in combination with a drug delivery device having a resilient force member capable of resting in either of two states. In a biased state, the resilient force member is biased and stores energy and in a relaxed state, the resilient force member is relaxed. The resilient force member releases the stored energy when changing from the biased state into the relaxed state, thereby generating an audible signal, wherein the resilient force member is supported by a retaining element in the biased state in order to prevent transition into the relaxed state.

The disclosure relates to an audible indicator for use with a drug delivery device comprising a bistable resilient force member capable of residing in two states. In a biased state, the resilient force member is biased and stores energy In a relaxed state, the resilient force member is relaxed. The resilient force member releases the stored energy when transitioning from the biased state into the relaxed state, thereby generating an audible signal.

The invention discloses a supercritical carbon dioxide energy storage system and method based on porous liquid absorption and storage, and belongs to the technical field of energy storage industry. Comprising a low-pressure storage system for storing low-pressure carbon dioxide; the compression energy storage system is used for compressing the carbon dioxide energy storage working medium; the high-pressure storage system is used for obtaining and storing high-pressure supercritical carbon dioxide; the expansion energy release system is used for high-pressure supercritical expansion energy release and pushing a power generator to generate power; and the heat circulation system exchanges heat with and circulates heat with the compression energy storage system and the expansion energy release system. A porous liquid absorbent is adopted. Permanent gaps for containing carbon dioxide can be provided, the problem of a carbon dioxide low-pressure storage end can be solved, and the system investment cost is greatly reduced. High-density storage of the low-voltage end of carbon dioxide is achieved through a chemical absorption method, the supercritical carbon dioxide compression energy storage system stores excess electric quantity generated by the renewable energy system, expansion power generation is carried out in the power utilization peak, and the peak regulation capacity of a power grid is improved.

The embodiment of the invention relates to the field of data processing, in particular to a multi-market transaction prediction method and system for a virtual power plant. The method comprises the steps of obtaining first predicted output data based on historical electricity prices, user load data and time-of-use electricity prices before a transaction, obtaining a first preset total energy demand through correction of a load fuzzy response model, and generating a day-ahead market bidding strategy and a first bidding electricity price; and on the same day of the transaction, acquiring second predicted output data based on the real-time data, receiving the first bidding result, correcting the first bidding result to obtain a second preset total energy demand, and generating a real-time market bidding strategy and a second bidding electricity price. And after the second bidding result is received, dynamically adjusting the real-time preset total energy demand, optimizing the power scheduling and charging and discharging strategy of the energy storage system, and balancing the energy reserve after the transaction. According to the method, the bounded rationality problem of the controllable load in the demand response process is solved, the user demand response result and the DER are effectively combined, and a solution is provided for the VPP to participate in the bidding plan of multiple types of power markets.

The invention provides a source network collaborative planning method and system considering typhoon and wind power capacity credibility, and the method comprises the steps: carrying out the simulation of a typhoon wind field, calculating the theoretical fault rate of a line through employing a line vulnerability curve calculation method under a typhoon disaster, and obtaining the state of each power transmission line of the system; calculating the output power of the wind power plant unit by using the basic information of the power grid, and predicting the output sequence of the wind power plant unit in the typhoon wind field based on the simulated typhoon wind field; obtaining the fault probability of the power transmission line at each moment, generating a typical fault scene, and calculating the wind power credible capacity according to the state of each power transmission line of the system; and constructing a source-network collaborative planning model based on the output sequence of the wind power plant unit and the wind power credible capacity. According to the method, the problems of wind power plant unit output, wind power spinning reserve and line reinforcement planning in typhoon-free weather are solved, and the purposes of considering the load importance level and energy storage access and coordinating resources in the aspects of source-network-load-storage and the like during planning are achieved.

The invention discloses a hierarchical coordination control system and method for an AC / DC hybrid micro-grid group, and relates to the technical field of smart grids and micro-grids, the system comprises a dynamic partition aggregation unit, a flexible interconnection control unit and a wide-area coordination control unit. The method is advantaged in that firstly, operation efficiency and reliability of the micro-grid group are substantially improved, stable supply of electric energy is guaranteed, secondly, the system has high flexibility and adaptivity, dynamic partition aggregation and flexible interconnection control can be carried out according to different source load scene characteristic parameters, various complex conditions can be effectively handled, response speed and stability of the system are improved, and the method is suitable for large-scale popularization and application. And finally, the implementation of the system also contributes to reducing the operation cost, realizes double improvement of economy and reliability by optimizing energy scheduling and energy storage management, and lays a solid foundation for sustainable development of the microgrid group.

The invention belongs to the technical field of island integrated energy systems, and particularly discloses a short-time scale low-carbon optimal scheduling method and system for an island integrated energy system, and the method comprises the steps: constructing an electricity-hydrogen-heat multi-energy coupled island integrated energy system model; constructing a real-time stepped carbon transaction model based on the interval to which the carbon emission quota participating in the carbon emission transaction belongs by using an island integrated energy system model; on the basis of a real-time stepped carbon transaction model, deviation penalty of new energy prediction is considered, one day is divided into n scheduling cycles, n is an integer larger than 1, a target function is constructed with the highest total income of a system as an optimization target, the optimization target is solved, and an optimized scheduling result is obtained. According to the invention, wind energy, solar energy, wave energy, stored energy, a photo-thermal power station and other energy sources are co-scheduled with electricity, hydrogen and water loads to form a dynamically balanced energy system; and high consumption and low carbon emission are kept as far as possible.

The invention discloses a long-term vibration monitoring method and system based on multi-channel data acquisition, and the method comprises the following steps: installing a sensor node integrated with a multi-mode energy collection module on a monitored object, and providing continuous power supply for a multi-channel data acquisition and edge processing unit; according to the invention, through a dynamic adaptive sampling mode and edge end extraction key features, the data load in a distributed monitoring scene is significantly reduced; the multi-mode energy collection module is integrated to collect vibration and environmental mechanical energy, and the energy management unit is combined to dynamically distribute stored energy and supply power, so that long-term autonomous operation of the sensor node is realized; the abnormal state is locally inferred and identified through the edge processing unit, and only key feature data instead of full data is uploaded, so that the real-time response capability to the equipment abnormality is improved; multi-dimensional correlation features are extracted by collecting multi-channel sensing data and combining a deep learning model and a time sequence-space feature fusion algorithm, and the health state of the equipment is comprehensively reflected.

The invention discloses an intelligent temperature monitoring device of a computer main board and a control method thereof, and relates to the field of temperature monitoring of the computer main board, the intelligent temperature monitoring device comprises a temperature sensing module which uses a plurality of high-sensitivity sensors in a key area and is high in precision and fast in response, a data transmission module transmits data at a high speed through Bluetooth or Wi-Fi and encrypts the data, and a control unit is multi-core heterogeneous and adjusts a temperature threshold according to an algorithm. The alarm module performs over-temperature acousto-optic alarm and has multiple modes, the heat dissipation control module intelligently adjusts heat dissipation equipment, the display module visually displays the temperature condition, the power management module supplies power in a voltage-stabilized mode and has stored energy backup, and all the modules cooperate to guarantee that the temperature of the mainboard is monitored, regulated and controlled accurately and efficiently. The device accurately monitors the temperature of the mainboard, the sensor is high in precision, the response is fast, data transmission is safe and efficient, control is intelligent, heat dissipation is reasonable, display is visual, power management is good, overheating can be effectively prevented, the service life of the mainboard is prolonged, the operation stability and safety of a computer are improved, and user experience is enhanced.

The present invention relates to the field of medical imaging technology, and discloses a mobile slide rail CT, including a scanning ring, a U-arm body and a base table, wherein the outer wall of the scanning ring is provided with the U-arm body, and the base table is provided below the U-arm body, the interior of the scanning ring includes a rotor assembly and a stator assembly, and a rotor drive assembly is provided between the rotor assembly and the stator assembly, and the interior of the U-arm body includes a control box, an operation panel, a cable rope, a cable handle, a cable hook, and a camera. In the present invention, by installing the CT device on a movable base, and configuring a battery module for the CT device so that the CT device relies on its own energy storage to work, and gets rid of the constraints of the cable on the device, the CT device can be flexibly moved between different working positions, which well solves the clinical problem of multiple working positions sharing one CT device, facilitates the flexible use of the CT device in an operating room or a radiotherapy room, and reduces the equipment cost of the hospital and enhances flexibility.

The disclosure relates to an audible indicator for use with a drug delivery device comprising a bistable resilient force member capable of residing in two states. In a biased state, the resilient force member is biased and stores energy In a relaxed state, the resilient force member is relaxed. The resilient force member releases the stored energy when transitioning from the biased state into the relaxed state, thereby generating an audible signal.

The invention provides a consumption reduction method and device for a wind and light energy storage complementary thermal power plant system, and the method comprises the steps: obtaining the wind speed, illumination intensity, energy storage charge state, auxiliary power load curve, power grid dynamic electricity price signal and thermal power generating unit auxiliary machine operation parameters of the thermal power plant system, and taking the parameters as a data set; based on a weather prediction model, a load prediction model and an electricity price fluctuation model, generating a wind power generation output prediction value, a photovoltaic power generation output prediction value, a load demand prediction value and an electricity price interval prediction value in a future preset time period according to the data set, and taking the prediction values as prediction results; by taking minimization of plant power cost and maximization of renewable energy consumption as targets, generating an energy storage charging and discharging instruction, a wind power generation and photovoltaic power generation grid-connected priority sequence and a thermal power auxiliary engine regulation and control strategy according to the data set and the prediction result to serve as control instructions; control instructions are executed through control equipment in the wind-solar energy storage complementary thermal power plant system, and energy conservation and consumption reduction are achieved by integrating wind energy, solar energy and an energy storage system.

A fault managed power method and system are provided, which includes a source, downstream component(s) and a power cable for delivering electrical energy, including electrical pulse(s) or DC current / voltage and electrical pulse(s), from the source to the downstream component(s). The cable is isolated from upstream and downstream noise or signals using low-pass filters, which are arranged upstream and downstream of the power cable. The method and system can measure electrical activity on the cable using an impedance sensor tank circuit; detect for an electrical disturbance on the cable corresponding to an occurrence of a fault resulting from body contact with the cable or other faults, based on the measurements from the sensor, when the pulses or the DC current / voltage and pulses are supplied to the cable; and in response to detection of the occurrence of the fault, interrupt the supply of electrical energy to the cable, via an upstream switch(es).

The invention discloses a cooperative scheduling method for a zero-carbon park complementary energy storage system, and the method comprises the steps: enabling an electric energy quality index to be explicitly incorporated into an optimization target through multi-source resource dynamic modeling and scene prediction, and building a strong coupling relation between a physical constraint and a scheduling decision; the hierarchical execution mechanism gives consideration to global optimization and local quick response, realizes undisturbed switching under abnormal working conditions, forms a prediction-optimization-execution-feedback closed-loop control system, and can accurately describe physical connection and electrical characteristics of a park power grid by establishing a power distribution network equivalent model and acquiring topological parameters, thereby realizing the optimal control of the park power grid. And basic network data is provided for subsequent optimization. By determining the controllable resource set and completing topological mapping, the position and the regulation and control range of each device in the power grid can be determined, and mistaken sending or conflict of instructions can be avoided. An apparent power upper limit constraint and SOC dynamic model is established, overload operation of equipment can be avoided, the energy storage charging and discharging capacity can be accurately represented, and the performability of a scheduling scheme is ensured.

The invention relates to a large-scale new energy base scheduling method based on uncertainty of an electric power spot market, and the method comprises the steps: collecting historical data of spot market node marginal electricity price and wind-solar power generation power, and generating a day-ahead market decision scene set comprising the spot market electricity price and new energy unit output through a Monte Carlo sampling method; establishing a two-stage stochastic optimization model for the large new energy base to participate in the day-ahead market by considering the uncertainty of the spot market, and establishing a model for participating in the real-time market; calculating a day-ahead market bidding strategy, a thermal power generating unit start-stop plan and a wind turbine generator maintenance plan in combination with the uncertain day-ahead market decision scene set; and according to high-precision short-period price prediction and renewable energy power prediction values, a real-time market bidding strategy and a charging and discharging strategy of energy storage equipment are calculated, and profit maximization in a large-scale new energy base market environment is realized. The problem of low economic benefit during energy storage scheduling of a large-scale new energy base in an electric power spot market is solved.

The invention relates to the technical field of image recognition and processing, and discloses a main network energy storage power station planning system and method based on wind-solar space-time correlation, and the system comprises a data collection and preprocessing module which carries out the cleaning and preprocessing of a data collection and preprocessing module; the wind and light space-time characteristic analysis module is used for researching space-time distribution characteristics and reverse peak regulation characteristics of wind power and photovoltaic output and correlation between the space-time distribution characteristics and the reverse peak regulation characteristics; a modeling and simulation module; the scene generation and screening module is used for generating a typical daily operation scene; and the energy storage technology evaluation module is used for comprehensively evaluating the technical performance of different types of stored energy. According to the method, the spatial-temporal distribution characteristics, the reverse peak regulation characteristics and the correlation of wind power and photovoltaic output are deeply researched, the output spatial-temporal correlation model suitable for large-scale wind and light is constructed, the level of accepting and utilizing renewable energy sources by a power grid is greatly improved, and the effect of remarkably improving the absorption capacity of the power grid to the renewable energy sources is achieved.

The invention provides a wind-light-water storage integrated scheduling method and system based on big data, and relates to the technical field of energy management, and the method comprises the steps: extracting a driving factor of wind-light-water storage data based on a generalized dynamic factor model, and carrying out the dynamic modeling of the driving factor, and obtaining an output state feature graph of a wind power plant and a photovoltaic power station; constructing an edge dependence structure based on a Copula function to obtain a wind-light-water combined space structure diagram; generating an energy storage response strategy sub-graph according to the wind-light-water combined space structure graph, the charge state of the energy storage system and the device degradation parameters; according to the energy storage response strategy subgraph and the load data and fluctuation data of the regional load center, singular spectrum analysis is carried out to extract periodic load characteristics, and a multi-energy output path field is obtained; and performing fuzzy approximate reasoning on the path field to obtain an optimal joint scheduling sequence. According to the method, the whole-process closed-loop optimization of the dispatching of the wind-light-water storage system is realized, and the method has the advantages of high prediction precision, high response speed and high dispatching flexibility.

The invention discloses an electric energy bidirectional multipath AC / DC conversion circuit, and relates to the technical field of electric energy conversion, and the circuit comprises a power supply multipath power distribution module which is used for inversion filtering, multipath power distribution and electric energy complementary superposition processing; the intelligent control module is used for signal receiving and module control; the first adjusting module is used for constant-voltage adjustment, constant-current adjustment and residual electric energy superposition control and supplying power to the first output module; the second adjusting module is used for constant-voltage adjustment, constant-current adjustment and residual electric energy superposition control and supplying power to the second output module; the energy storage control module is used for storing residual electric energy and supplying power; and the compensation control module is used for boosting and providing electric energy for the first adjusting module or the second adjusting module. According to the electric energy bidirectional multipath AC / DC conversion circuit, multipath power distribution processing can be carried out, constant current or constant voltage adjustment processing can be carried out according to needs, the superposed residual electric energy is stored and is supplied to the first adjustment module or the second adjustment module, the utilization rate of the electric energy is improved, and a wider voltage range can be provided.

The invention discloses a Fourier transform and S transform combined battery impedance spectroscopy measurement method and device, and aims to improve the precision, speed and reliability of impedance measurement of a battery energy storage system. According to the method, a multi-frequency component excitation signal is generated through a controllable current source, and current and voltage response signals of a battery are synchronously acquired and are respectively input into a Fourier transform module and an S transform module for frequency domain analysis. The Fourier transform module extracts impedance spectrums of low and medium frequency bands, and the S transform module extracts impedance spectrums of medium and high frequency bands through Gaussian window time-frequency analysis. And a data fusion algorithm is adopted to perform composite processing on results of the two modules, including a direct selection method, an arithmetic average method, an amplitude and phase calibration method and a weighted average method, so that smooth transition and optimization between frequency bands are realized, and finally the electrochemical impedance spectrum is generated. Through collaborative analysis of Fourier transform and S transform, parameter optimization and a fusion algorithm, the efficiency and accuracy of impedance spectroscopy measurement are remarkably improved, and the method is suitable for rapid monitoring and diagnosis of the battery state.

The invention discloses a wind and light energy storage power station capacity prediction system based on multiple targets, and relates to the technical field of new energy power generation. The multi-target data acquisition module determines a target area according to power grid topology, load and wind and light resource distribution, equipment is installed to acquire data, a reliable data basis is provided for subsequent modules, data is ensured to be accurate and effective, error and abnormal data interference is avoided, and the balance management module monitors a power grid in real time. Analyzing the wind-solar power generation and electrical load balance relationship, and adjusting the operation mode of the energy storage power station according to the relationship; the power prediction module constructs and optimizes a model, accurately predicts power, calculates energy storage charging and discharging power, ensures stable operation of a power grid and improves energy utilization efficiency, and the scheduling decision module formulates a scheduling scheme in combination with multi-aspect information to ensure safe, stable and economic operation of the power grid; the risk assessment module comprehensively considers various risk factors, assesses the operation performance of each power station, matches a coping strategy and an early warning mechanism, and enhances the operation reliability and safety of the power grid.

The invention discloses an intelligent glasses system based on self-adaptive vision correction and multi-mode interaction and an implementation method thereof.The intelligent glasses system comprises a glasses frame, a loudspeaker, a solar power supply module, liquid crystal variable-focus lenses, an energy storage module, a data acquisition module and a data processing module, and the method comprises the steps that 1, data acquisition is conducted; step 2, vision detection and correction; step 3, performing multi-mode health monitoring; step 4, performing man-machine interaction; 5, emotion recognition and management; step 6, intelligent fatigue prevention; step 7, augmented reality; step 8, energy management; according to the invention, wavefront sensing and liquid crystal variable-focus lenses are adopted, so that vision monitoring and automatic correction are realized; comprehensive health management is provided by monitoring multiple physiological parameters; natural interaction is realized based on gesture and voice recognition; fusing the expression and the voice to recognize an emotional state and providing suggestions; detecting fatigue based on eye movement features, and adjusting parameters; navigation, translation and object recognition services are provided; a solar power supply module is additionally arranged to prolong the endurance time.

The invention discloses a double-layer optimization scheduling method considering electricity-storage-carbon cooperation and user demands, and the method comprises the steps: building a constraint model for the dynamic segmented adjustment of a carbon transaction price along with the carbon emission according to the carbon emission quotas of thermal power, wind power and photovoltaic power and based on a reference carbon transaction cost model; taking the lowest comprehensive power generation cost as a target, jointly optimizing output plans of thermal power, wind power, photovoltaic power and energy storage, coupling the constraint model to limit carbon emission of the thermal power generating unit, and constructing an electricity-storage-carbon collaborative optimization model; a demand response mechanism is constructed based on the user energy consumption mode satisfaction degree and the energy consumption cost satisfaction degree, a user load curve is adjusted and optimized through the electricity price, and a user demand optimization model is established; solving the double-layer optimization model hierarchically by adopting an improved algorithm; and compared with a reference carbon transaction model and a stepped carbon transaction model, the constraint force is stronger, and collaborative optimization of power generation economy, low-carbon property and user satisfaction is realized under the condition of meeting system power balance and power grid security constraint conditions.

The invention discloses a cooperative photovoltaic power generation grid-connected control method, system and device and a medium, and relates to the field of photovoltaic power generation. The method comprises the following steps: acquiring environmental parameters and historical power generation data of each photovoltaic power station in a cluster, and predicting an optimal power generation state of each photovoltaic power station in future preset time according to the environmental parameters and the historical power generation data; determining an output power target value and a voltage target value of the target photovoltaic power station according to the optimal power generation state; adjusting a maximum power point tracking control parameter of the target photovoltaic power station according to the output power target value and the voltage target value, and controlling the target photovoltaic power station to generate power according to the maximum power point tracking control parameter; predicting the power demand in the future preset time according to the current demand of the power grid, calculating the difference between the overall generating capacity of the cluster and the power demand, and controlling the energy storage system to output or store electric energy according to the difference. By implementing the technical scheme provided by the invention, the effect of improving the photovoltaic power generation efficiency is achieved.

This invention discloses a press-to-rebound damping slide rail, belonging to the field of slide rail technology. The press-to-rebound damping slide rail of this invention includes a slide rail assembly and a press-to-rebound damping device. The slide rail assembly includes a fixed rail and a movable rail. The gearbox of the press-to-rebound damping device is equipped with a transmission gear and a clutch mechanism that mesh with a rack on the movable rail. In the first position, the gearbox has a rebound spring and a self-closing spring stretched and stored energy, and the gearbox is locked in the base. In the first position, the trigger part of the trigger transmission block is pushed by the trigger plate on the movable rail, causing the gearbox to unlock and rebound to the second position. The clutch mechanism locks the reverse rotation of the transmission gear and drives the rack and movable rail to rebound and move together. This invention organically combines the press-to-rebound mechanism and the damping closing mechanism, ensuring that the stability of their cooperation is not reduced by factors such as installation errors, making assembly simpler and more convenient, and guaranteeing product consistency.

The invention relates to the technical field of automatic control of a power system, discloses a dynamic response optimization and self-adaptive compensation method for primary frequency modulation of a speed regulator of a hydropower station, and aims to solve the problem that the response speed and the operation economy are difficult to consider in a traditional combined frequency modulation strategy. Meanwhile, a dynamic task allocation threshold value is calculated according to the real-time cost of the hydroelectric generating set and the energy storage. Then, by comparing the size of the disturbance with the threshold value, the system autonomously decides: if the disturbance is small, the stored energy independently responds; and if the disturbance is large disturbance, a prospective optimal control strategy is started, a hydroelectric generating set and stored energy are cooperatively allocated, and a frequency modulation task is completed at the lowest comprehensive cost. According to the method, by introducing pre-judgment on disturbance and dynamic evaluation on cost, economical optimal distribution of frequency modulation tasks among different types of power supplies is realized, and the comprehensive frequency modulation performance and economic benefits of the system are remarkably improved.

An example operation includes one or more of: arranging a connection between a first vehicle associated with a location and a second vehicle associated with the location, wherein the first vehicle has an excess of stored energy and the second vehicle has a shortage of stored energy; and transferring energy from the first vehicle connected at a first connection point associated with the location to a second vehicle connected at a second connection point associated with the location.

The invention discloses a coal power plant optimization scheduling system matched with a virtual power plant. Belongs to the technical field of virtual power plant optimization scheduling, and discloses a virtual power plant optimization scheduling system which is used for aggregating a coal power plant and other distributed energy sources to form a collaborative scheduling and management platform, realizing power supply collaborative optimization scheduling of the virtual power plant to the coal power plant, and optimizing operation of the coal power plant through the virtual power plant optimization scheduling system. Interactive fusion of the virtual power plant and the coal power plant is realized; the operation state of the coal power plant is monitored in real time through the intelligent terminal, the power grid load is balanced through the energy storage system, the coal power plant and other energy generating capacity are intelligently dispatched according to the power grid requirement and the real-time state of each energy source, and the power generation plan and the operation strategy of the coal power plant are optimized by predicting the load and the energy source price through prediction and intelligent optimization algorithms. Finally, the virtual power plant participates in the power market transaction on behalf of the coal power plant, thereby improving the operation efficiency of the coal power plant, and enhancing the reliability of the whole power grid.

An uninterruptible power supply includes an input configured to be coupled to a renewable power source and an energy storage component configured to receive and store energy and to provide stored power. Power circuitry is configured to receive the renewable power and the stored power and provide output power to a load. A controller coupled to the power circuitry determines whether an amount of available renewable power exceeds the output power level provided to the load and, if so, provides excess power from the renewable power to the stored energy component.

The invention discloses a renewable energy scheduling control method based on electricity-carbon-green evidence market coupling, and relates to the technical field of renewable energy control, and the method comprises the following steps: predicting wind and light output fluctuation intervals based on a neural network, and classifying the wind and light output fluctuation intervals; constructing a first simulator based on chaotic mapping, and constructing a second simulator based on quantum machine learning; controlling to switch the first simulator and the second simulator according to a classification result, and outputting a wind-light output predicted value; and controlling energy storage output according to the wind-solar output predicted value and a preset electricity-carbon interaction model. The method is used for solving the problem of insufficient simulator adaptability in different wind and light output fluctuation scenes and insufficient energy storage control capability in an electricity, carbon and green evidence cooperative scene.