4302 results about "Photovoltaic system" patented technology

The invention relates to the technical field of energy management, and discloses a multi-source photovoltaic energy storage collaborative management method and system. The method comprises the steps of obtaining a multi-source photovoltaic system data generation task set; constructing a multi-dimensional data fusion model, and defining a collaborative optimization coordinate system; determining an initial cooperative constraint condition; co-scheduling simulation is executed based on the model to generate a preliminary strategy; and dynamically correcting and generating a multi-source collaborative optimization strategy by using a self-adaptive optimization algorithm. The method also relates to refining processing of each axis in the model, adoption of an improved algorithm optimization strategy, a calculation framework and a fault-tolerant mechanism in simulation, anomaly detection and re-optimization, construction of a scene library for predicting conflicts and the like. The system comprises a data acquisition and classification module, a model construction module, a constraint setting module, a simulation scheduling module and a strategy optimization module. The energy utilization efficiency of the multi-source photovoltaic energy storage system can be effectively improved, stable operation of the system is guaranteed, and equipment loss and cost are reduced.

The invention provides a photovoltaic operation fault diagnosis method and system, and the method comprises the steps: constructing a fault mode and influence factor database based on real-time monitoring data and historical record data, carrying out the feature extraction, obtaining a fault feature vector, and constructing a fault diagnosis model through a preset decision algorithm; performing label classification on the fault feature vector to obtain a label classification data set, and constructing a label classification model; constructing a fault propagation model based on the fault mode and the influence factor database; and based on the plurality of models, performing fault diagnosis analysis on the real-time monitoring data to obtain a fault diagnosis report. According to the method, the problem that the operation reliability of a photovoltaic system is poor due to the fact that only processing is carried out when abnormity occurs in the whole operation state and performance expression and further analysis and processing are not carried out on the propagation path and potential influence of the abnormity or the fault in the prior art is solved. The fault condition of the system is diagnosed and analyzed by constructing a plurality of models, and stable operation of the system is ensured.

The invention relates to the field of photovoltaic systems, in particular to a monitoring alarm method and system for a photovoltaic system. The method comprises the following steps: performing all-directional thermal imaging scanning on a photovoltaic module array to generate a photovoltaic module multi-directional thermal imaging view; performing temperature distribution analysis on the multi-azimuth thermal imaging view of the photovoltaic module to obtain temperature distribution data of the photovoltaic module; obtaining space structure data of the photovoltaic module based on the multi-azimuth thermal imaging view of the photovoltaic module; performing three-dimensional point cloud reconstruction on the space structure data of the photovoltaic module, and constructing a three-dimensional point cloud structure model of the photovoltaic module; performing abnormal temperature analysis on the three-dimensional temperature distribution field model on the basis of a preset temperature threshold value on the basis of the temperature distribution data of the photovoltaic module so as to generate a local abnormal hot spot region; and performing hot spot region accurate positioning on the three-dimensional point cloud structure model of the photovoltaic module based on the local abnormal hot spot region so as to generate abnormal hot spot module position data. According to the invention, efficient and accurate monitoring alarm of the photovoltaic system is realized.

An optical storage system designed to compensate for the water hammer effect in hydropower turbines and its cooperative frequency modulation method are provided. The method involves detecting the water hammer effect and utilizing a pre-established system model integrating a hydropower unit, photovoltaic system, and hybrid energy storage system. Through model predictive control combined with a whale optimization algorithm, the governor parameters of the hydropower unit are optimized. The system then obtains the photovoltaic active power output and the battery's state of charge (SOC) within the hybrid energy storage system. Based on these parameters, a collaborative control strategy for the photovoltaic and hybrid energy storage systems is determined and executed. This strategy enables effective control of the photovoltaic system and / or hybrid energy storage to compensate for reverse power adjustments in the hydropower unit, addressing the water hammer effect and ensuring stable power grid operation.

The invention aims to provide an intelligent diagnosis method and system for a temporarily-built photovoltaic fault based on a knowledge graph, and belongs to the technical field of temporarily-built photovoltaic fault diagnos.The method comprises the steps that firstly, current, voltage, temperature and irradiance data of a temporarily-built photovoltaic system are collected, and multi-dimensional feature parameters are generated through abnormal value elimination, noise filtering and feature fusion; secondly, constructing a temporarily built photovoltaic knowledge graph containing equipment entity nodes, fault mode nodes and a topological connection relation, and calculating a topological connection weight based on historical fault data and an equipment rated power difference value; then, the multi-dimensional characteristic parameters are matched with fault mode nodes of the knowledge graph, fault propagation path reasoning is carried out through bidirectional breadth-first search and path weight screening, and fault types and positioning information are output; and finally, dynamically updating the association weight of the knowledge graph according to operation and maintenance feedback. The rapid and accurate diagnosis of the fault is realized, the downtime is obviously reduced, and the operation efficiency and the economic benefit of the temporarily built photovoltaic system are improved.

The invention relates to the technical field of dynamic scheduling, in particular to a dynamic optimization scheduling algorithm for a photovoltaic energy storage system, which is characterized in that based on a working environment of the photovoltaic energy storage system, environment illumination intensity data is acquired in real time, average power generation under the same illumination intensity is extracted, and weather conditions in a future time period of a current region are received through weather forecast data; and predicting the generating capacity in a future period to obtain generating capacity evaluation information. According to the invention, by capturing the environment illumination condition in real time and combining the historical power generation data, the future power generation condition of the photovoltaic system is effectively predicted, the load change of the power grid is monitored in real time, and the influence brought by specific activities is considered, so that timely response can be made when the demand of the power grid fluctuates, and the supply and scheduling of electric energy are optimized; according to the invention, continuous monitoring and abnormity processing are carried out on the power generation equipment, and the abnormal condition of the equipment is handled by correcting the discharge capacity in real time, so that the risk in operation of the energy storage system is reduced, and solid technical support is provided for stable operation of a power grid.

The invention discloses a flexible photovoltaic tracking support and a photovoltaic system, and relates to the field of photovoltaic technology, and the flexible photovoltaic tracking support comprises a main rope assembly, a supporting structure, a driving assembly and a wind-resistant assembly. The main cable assembly comprises at least two parallel main cables; the at least two supporting structures are used for anchoring the main cable assembly; the driving assembly comprises a cross beam assembly and a driving part, the cross beam assembly is rotationally connected with the supporting structure, the two ends of the main rope assembly are fixed to the cross beam assembly, and the driving part is in transmission connection with the cross beam assembly; the wind-resistant assembly comprises a stabilizing cable assembly and a wind-resistant frame, the stabilizing cable assembly comprises at least one stabilizing cable, the two ends of the stabilizing cable are fixed to the cross beam assembly, the first side of the wind-resistant frame is connected with the main cables, and the second side of the wind-resistant frame is connected with the stabilizing cable. According to the flexible photovoltaic tracking bracket provided by the invention, the stability of the flexible photovoltaic tracking bracket is improved while the effective light receiving area of the photovoltaic panel is ensured.

The invention discloses a self-adaptive photovoltaic tracking control method and system, and the method comprises the steps: collecting and fusing multi-source data, detecting the operation environment of a photovoltaic system in real time, and carrying out the real-time processing of the collected environment data; constructing a self-adaptive photovoltaic tracking control model, training the self-adaptive photovoltaic tracking control model, and dynamically adjusting a tracking strategy of the photovoltaic panel according to historical data and real-time environment change; a dynamic error compensation mechanism is introduced, errors of a tracking system are corrected in real time, a multi-objective optimization strategy is designed, and tracking modes are automatically switched according to different environmental conditions. The system comprises a multi-source data acquisition module, a photovoltaic tracking control module and a tracking mode switching module. According to the invention, the precision and efficiency of operation monitoring of the photovoltaic system are improved; high-quality data input is provided for a photovoltaic tracking control model, and the decision-making ability of the model is improved; the intelligent and automatic photovoltaic panel tracking strategy is realized, and the power generation efficiency of a photovoltaic system is improved.

The invention discloses a photovoltaic system abnormal data detection method and device, and relates to an abnormal detection technology based on a multi-head self-attention mechanism fusion variational auto-encoder and a bidirectional long short-term memory network (BiLSTM). Abnormal detection of electrical parameters (including DC voltage and current and AC voltage and current), environment parameters (relative humidity, wind direction and wind speed) and system parameters (including inverter error codes, inverter environment temperature difference, module environment temperature difference and the like) in a photovoltaic system is realized. The invention discloses a photovoltaic system abnormal data detection method. The method comprises the following steps: (1) photovoltaic system data acquisition and data processing; (2) encoding time sequence data of the photovoltaic system; (3) data sampling and data feature enhancement; (4) data decoding operation; and (5) detecting an abnormal value of the photovoltaic system.

The present disclosure provides a dispatch method of an energy management system for energy storage and a photovoltaic system for industrial and commercial use. The dispatch method includes: determining whether a third-party control system issues dispatch instructions, and initiating a third-party dispatching mode in response to determining that the third-party control system issues dispatch instructions; determining whether the cloud terminal issues dispatch curves, and initiating an active dispatching mode in response to determining that the cloud terminal issues dispatch curves; and initiating a passive dispatching mode in response to determining that the third-party control system does not issue any dispatch instruction and the cloud terminal does not issue any dispatch curve.

A fault alarm device for solar power generation belongs to the field of solar fault monitoring. The system includes an edge monitoring module, a multimodal data fusion module, a fault classification module, a trend prediction module, a dynamic adjustment module and an alarm response module. The present invention improves the accuracy of fault identification by integrating multidimensional features such as photovoltaic panel current, voltage, power, ambient temperature and light intensity by using a deep learning fusion model. By introducing an attention mechanism and dynamically adjusting the alarm threshold, it effectively distinguishes environmental fluctuations from actual faults, reduces the false alarm rate and missed alarm rate, and can adapt to the complex and changeable photovoltaic system operating environment without manual intervention.

The invention discloses a back contact cell, a photovoltaic module and a photovoltaic system.The back contact cell comprises first areas, second areas and isolation areas which are arranged on the shady face of a silicon substrate, the first areas and the second areas are alternately arranged, and the isolation areas are located between the first areas and the second areas; the first region comprises a first doped conductive layer, the second region comprises a second doped conductive layer, and the doping type of the first doped conductive layer is opposite to that of the second doped conductive layer; the side, close to the isolation area, of the first area is provided with a concave structure. According to the invention, efficient isolation of different doped regions on the back surface of the back contact cell can be realized, so that the photoelectric conversion efficiency of the back contact cell is improved.

The invention discloses a mountain photovoltaic system based on three-dimensional modeling and a construction method thereof, and aims to solve the problems of complex mountain terrain, high construction difficulty, low precision of a traditional planning scheme and the like. According to the system, a three-dimensional modeling technology is adopted to carry out digital modeling on a mountain environment, the installation positions and angles of photovoltaic panels are accurately analyzed and optimized through software, an optimal arrangement scheme is formed, and quality control and real-time monitoring are carried out in cooperation with an unmanned aerial vehicle inspection technology. The invention provides a construction method, which comprises the steps of data acquisition, three-dimensional modeling, scheme design, equipment installation, quality control and the like, and effectively improves the construction precision and efficiency of a mountain photovoltaic project.

The invention relates to the field of voltage regulation and control, in particular to a real-time voltage regulation method for a new energy automobile. Initializing a power distribution network voltage measurement module, and collecting voltage data of each node of the power distribution network; setting a voltage deviation threshold value, and judging whether the voltage is in a normal range or not; collected voltage is compared with a set voltage deviation threshold value, a result obtained after preliminary voltage regulation of an on-load voltage regulation transformer is compared with the set voltage deviation threshold value, and a result obtained after cooperative voltage regulation of an electric vehicle charging pile is compared with the set voltage deviation threshold value. According to a comparison result, tap adjustment of an on-load voltage regulation transformer, cooperative voltage regulation of an electric vehicle charging pile and voltage regulation participated by a distributed photovoltaic system are carried out in sequence; and formulating an optimization strategy based on historical data and results of three times of voltage regulation. By means of cooperative voltage regulation, optimal control, intelligent management and the like, the voltage stability is effectively improved, and the adaptability and flexibility of the system are enhanced.

The invention is applicable to the technical field of back contact solar cells, and provides a back contact solar cell, a photovoltaic module and a photovoltaic system.The back contact solar cell comprises a silicon substrate, a plurality of p-type doped regions and a plurality of n-type doped regions which are sequentially and alternately arranged on the back face of the silicon substrate in the first direction, and p-type fine grids electrically connected with the p-type doped regions; the n-type fine grids are electrically connected with the n-type doped regions, the isolation regions are arranged between the adjacent p-type doped regions and the n-type doped regions, and in the first direction, the ratio C1 of the width of the isolation regions to the width of the n-type doped regions is # imgabs0 #. And the photoelectric conversion efficiency of the solar cell is improved.

The invention relates to the technical field of photovoltaic systems, and particularly discloses a fault identification method and system for a photovoltaic system, and the method comprises the steps: collecting data in real time through environment, electrical parameters and an equipment state monitoring sensor, carrying out the cleaning and standardization, extracting time domain, frequency domain and time frequency features, and screening a feature subset through a correlation analysis and feature importance sorting algorithm; detecting and classifying faults by using a hybrid model composed of an isolated forest algorithm and a random forest classifier; positioning a fault subsystem and analyzing a root cause by means of a hierarchical diagnosis strategy, a graph neural network and a Bayesian reasoning algorithm; and periodically updating the model based on the new data. The method can quickly and accurately identify and position faults, adapts to a complex environment, reduces the operation and maintenance cost, and improves the operation reliability and operation and maintenance efficiency of a photovoltaic system.

A busbar-free electrode structure, IBC solar cell, and a photovoltaic system, used in the technical field of solar cells. Since first end welding points close to a third edge and disposed at a first break position are not connected to a first fine grid, but are electrically connected to a part of a second fine grid closest to the third edge, second fine grids close to a first edge can be connected together. On this basis, the first end welding points can be disposed, by means of the described electric connection manner, at a positions distant from the first edge of the silicon substrate, so that when a welding strip is subsequently welded to a first end welding point, because there is a relatively large distance between a disposed first end welding point and the first edge, the risk of hidden cracks during welding can be reduced, the cell yield can be improved, and overall convergence of the second fine grid can be achieved.

The invention discloses a photovoltaic inverter equivalence simplification method based on a virtual synchronous machine, and relates to the technical field of inverters, and the method comprises the following steps: Step 1, providing an inverter coherence criterion based on virtual synchronous generator control according to a coherence discrimination method of a synchronous generator in an AC power grid; step 2, carrying out grouping operation on the photovoltaic inverters; and Step 3, according to a coherent equivalence theory in a large power grid, providing a parameter aggregation method of the photovoltaic inverters, and aggregating the photovoltaic inverters in the same group into an equivalent inverter. According to the photovoltaic cluster inverter based on the virtual synchronous generator control strategy, in the process of referring to the large power grid coherence equivalence theory, the judgment criterion of the coherence of the photovoltaic inverter is clarified, and then the equivalent modeling method of the inverter in the electromagnetic transient analysis process is researched. The method solves the problem that the existing photovoltaic system modeling has no corresponding solution measures on the problems of grouping index selection, system parameter aggregation, equivalent model establishment and the like, and the equivalent precision is not enough.

The APSO-SA-based photovoltaic system maximum power point tracking control method comprises the following steps: constructing a photovoltaic system model, and carrying out parameter and particle swarm initialization on a preset APSO-SA algorithm in MPPT control; voltage and current of the photovoltaic system model are collected in real time, the initialized APSO-SA algorithm is input for optimization iteration, and the optimal duty ratio is obtained; and adjusting the working state of the boost converter based on the optimal duty ratio, so that the photovoltaic system operates at the optimal duty ratio, and tracking of the maximum power point is realized. According to the method, the MPPT system can rapidly relocate the maximum power point when illumination suddenly changes, meanwhile, high-precision tracking is maintained in a steady state, and the energy capture efficiency of a photovoltaic system is remarkably improved.

The invention provides a renewable energy equipment fault intelligent diagnosis method based on deep learning. The method comprises the following steps: S1, collecting data of a photovoltaic system and the like, carrying out data preprocessing, and constructing a training sample set with a fault label; s2, constructing a fractional order physical information neural network in a weighted shift Grunwald-Letnikov format, and outputting an equipment fault probability prediction value; s3, establishing a segmented Poisson regression model, taking a time variable and an environment virtual variable as independent variables, performing dynamic trend modeling on the equipment fault probability predicted value, and outputting the fault probability after statistical correction; s4, fusing the equipment fault probability prediction value and the corrected fault probability to generate a final fault probability; and S5, optimizing prediction strategy parameters based on a reinforcement learning method of a relative reward regression mechanism. According to the invention, the identification capability of implicit fault features is improved, and the fault diagnosis accuracy is significantly improved.

The invention provides a distributed photovoltaic access distribution network voltage fluctuation evaluation method, medium and system, and belongs to the technical field of distributed photovoltaic, and the method comprises the steps: firstly collecting the parameters of a photovoltaic system and a distribution network, and building a power grid response equation set considering the parameters; more parameter samples are obtained through data augmentation and expansion, and indexes such as voltage, power and harmonic waves of each node are calculated according to the response equation set. Constructing a voltage fluctuation evaluation index matrix including voltage deviation, fluctuation, harmonic waves, short-circuit capacity change and the like; and decomposing the matrix by adopting singular value decomposition to obtain a voltage stability and fluctuation evaluation matrix, and finally calculating a voltage stability index and a fluctuation index. If the voltage fluctuation evaluation index exceeds a preset threshold value, an alarm is triggered, and decision support is provided for distribution network planning and operation. According to the invention, the technical problems of short evaluation time scale and difficulty in capturing the dynamic characteristics of voltage fluctuation in the evaluation of the distributed photovoltaic access distribution network in the prior art are solved.

The present application relates to a solar cell, a method for manufacturing the same, a photovoltaic module and a photovoltaic system. The solar cell includes: a substrate (110), including a first surface (S1) and a second surface (S2) being opposite to each other, wherein the first surface (S1) has a first region (A) and a second region (B) adjacent to each other in a first direction; a passivating contact layer (120), located in the first region (A) of the first surface (S1); a polysilicon layer (130) located on at least a part of a surface of the passivating contact layer (120) away from the substrate (110); the passivating contact layer (120) including a first tunneling layer (121) and a first doped layer (122), the first tunneling layer (121) and the first doped layer (122) being sequentially stacked on the first region (A) of the first surface (S1) of the substrate (110) in a direction away from the second surface (S2); and a first passivation layer (140), located on a surface of the polysilicon layer (130) away from the passivating contact layer (120) and on the second region (B) of the first surface (S1).

The invention relates to the technical field of back contact cells, and particularly discloses a back contact cell and a preparation method thereof, and a photovoltaic system, the back contact cell comprises a silicon substrate, and the backlight surface of the silicon substrate is provided with a plurality of first areas and second areas which are alternately arranged; the first semiconductor composite layer is arranged in the first region and comprises a tunneling passivation layer and a first doping layer which are sequentially arranged in the direction away from the silicon substrate; the second semiconductor composite layer is at least partially arranged in the second area and comprises a passivation contact layer and a second doping layer which are sequentially arranged in the direction away from the silicon substrate, and the polarity of the second doping layer is opposite to that of the first doping layer; the composite TCO layer is arranged in at least partial areas of the sides, back to the silicon substrate, of the first doping layer and the second doping layer, the composite TCO layer comprises a first TCO layer and a second TCO layer which are sequentially arranged in the direction away from the silicon substrate, a plurality of holes are distributed in the first TCO layer, and the holes are provided with openings at least in the side, away from the second TCO layer, of the first TCO layer. According to the back contact battery structure, the back reflection effect on light can be effectively improved, the light utilization rate is improved, and then the battery conversion efficiency is improved.

The invention provides a photovoltaic system-based generating capacity loss intelligent evaluation method, which comprises the following steps of: 1, acquiring optical parameters in real time, and synchronously acquiring predicted irradiation data of a meteorological station; step 2, performing feature extraction on the current and voltage curve, identifying abnormal inflection points in the curve, dividing mismatch types, determining theoretical output power of each group of strings, and generating a future theoretical generating capacity baseline; 3, obtaining a group cascade stage power loss rate, and determining a current loss reason in combination with a mismatch type; 4, identifying a current system-level fault area; and step 5, based on a historical fault case library, extracting a group cascade power loss rate, a mismatch type and spatial distribution characteristics of a system-level fault area, matching a loss mode of a current system with a historical fault type, generating an evaluation report including a loss quantized value, a fault position and a repair priority, and carrying out fault recovery. And an optimization operation and maintenance instruction including a personnel scheduling scheme and a spare part demand list is generated. And the operation efficiency and the maintenance effect of the photovoltaic system are improved.

Disclosed is an integrated thermal and electrical system with self-regulating capabilities to provide enhanced cooling capacity and auxiliary power. The system includes two cooling loops, a primary cooling loop whose cooling capacity is fixed and a secondary cooling loop that supplements the primary cooling loop when the cooling capacity of the primary cooling loop is insufficient. The two cooling loops may use a phase change fluid whose vapor pressure is monitored to control the cooling capacity of the secondary cooling loop to respond to fluctuating thermal load. The system includes two types of energy sources such as a photovoltaic system and a power storage. The photovoltaic system may power the secondary cooling loop to control the fluid flow rate or the airflow rate through the secondary cooling loop based on the vapor pressure. The photovoltaic system may charge the power storage when not powering the secondary cooling loop.

The invention discloses a micro-grid power control method, system and device based on fuzzy modulation and a storage medium, and relates to the technical field of intelligent grid integration of a photovoltaic system and a micro-grid, and the method comprises the steps: firstly obtaining the real-time power data of a photovoltaic system, carrying out the control processing through fuzzy logic, and calculating a reference instruction; according to the reference instruction, hysteresis time is dynamically adjusted through modulation hysteresis control, and an inverter switching signal is generated; converting direct current into alternating current based on the switching signal and a power switching device, injecting the alternating current into the micro-grid, calculating active and reactive power reference values, ensuring that the system operates according to a unit power factor, and giving active power to the reference value; according to the method, the power control precision and adaptability of the micro-grid are improved, excessive switching of the inverter is avoided, loss is reduced, the service life is prolonged, power matching and stable transmission are achieved, reactive loss is reduced, bus voltage is stabilized, harmonic waves can be reduced, the electric energy quality is improved, and efficient and stable operation of the micro-grid is guaranteed.

The invention discloses a protection circuit, a control method and a photovoltaic system, and belongs to the technical field of power electronics. The invention provides a protection circuit which is applied to a three-phase inverter circuit, the direct current side of the three-phase inverter circuit is used for being connected with a power supply assembly, the output end of each phase is provided with a relay assembly, and the protection circuit comprises a controllable power device which is connected with a bridge arm in the three-phase inverter circuit in parallel; the fault detection module is electrically connected with the three-phase inverter circuit and is used for generating a fault signal when the fault of short circuit to ground is detected; the current detection circuit is used for detecting the output current of each phase of the three-phase inverter circuit; and the controller is electrically connected with the fault detection module, the current detection circuit and the relay, controls the controllable power device to be switched on after receiving a fault signal, and disconnects the relay assembly of each phase when the output current of each phase meets a zero-crossing condition, so that the relay assembly can be ensured to be switched off safely, and a loop of short-circuit current can be cut off. And the short-circuit current is prevented from damaging components in the circuit.

The invention discloses an energy regulation and control method of a photovoltaic system, and relates to the field of energy regulation and control of the photovoltaic system, and the method comprises the steps: collecting comprehensive state data in a time period T, processing the comprehensive state data, and obtaining time sequence state data; performing primary processing on the time sequence state data by using moving average filtering to obtain a smoothed initial data set, taking the initial data set as observation input of Kalman filtering, further smoothing the data by using the Kalman filtering to obtain a high-precision gain data set, and using improved Pamp; performing disturbance judgment on the gain data set through an O algorithm; according to the method, power oscillation of voltage in a prediction interval is eliminated by using an IncCond method, subdivision demand judgment is performed, a maximum power point is accurately positioned by using a subdivision search method, and the maximum power point is output as a working point of the system, so that energy regulation and control of the photovoltaic system at the maximum power point are realized, and the energy efficiency of the photovoltaic system is improved.

The invention discloses a wind and light storage coordination control method and system for a virtual synchronous machine, and the method comprises the steps: building a wind power plant-energy storage power station double-layer response mechanism at a first stage, and employing a multi-time scale coordination control strategy for a second-stage energy storage system; and in combination with the virtual synchronous control characteristics of the optical storage power station, establishing a multi-scene optimization model of a wind and light storage multi-source collaborative double-layer coupling mechanism, and realizing dynamic optimization of output of each unit among inertia support, frequency modulation capacity and energy storage health state. According to the method, wind power plant rotor kinetic energy release combined overspeed load shedding control, a fuzzy control means based on an energy storage charge state and a VSG control means based on a virtual inertia and damping coefficient self-adaption photovoltaic system are considered, then wind and light energy storage frequency modulation coordination is optimized, and the system inertia safety is effectively improved on various working conditions and different time scales.

The invention discloses a photovoltaic module performance degradation rate prediction method based on environmental influence factors. The method comprises the steps of building a small photovoltaic system, and obtaining an initial photovoltaic module performance degradation condition; the photovoltaic module is monitored, and data of performance change of the photovoltaic module under different environmental factors are collected respectively; obtaining a preliminary photovoltaic module performance attenuation prediction model through the coupling effect of various environmental factors; based on the preliminary photovoltaic module performance degradation prediction model, coupling various environmental factor influence data to obtain a complete photovoltaic module performance degradation prediction model; and based on the complete photovoltaic module performance attenuation prediction model, speculating and calculating performance attenuation conditions of the photovoltaic module operating in different environments. The method not only has academic research value, but also can calculate and design the service life of the photovoltaic module in each region according to meteorological data.