102 results about "Renewable energy system" patented technology

The invention discloses a source network load storage real-time scheduling method for MADRL-GAN collaborative optimization, and the method comprises the steps: firstly constructing a carbon pollution collaborative optimization model, and converting the model into a solvable convex problem through function linearization and mixed integer conversion; further mapping the model into a multi-agent reinforcement learning model, dividing agents according to an electrical coupling degree, and designing a state and action space containing a dual-Critic reward mechanism; thirdly, learning system uncertainty distribution by using a generative adversarial network, generating diversified scenes to train a reinforcement learning model, and obtaining a preliminary strategy; and finally, correcting the strategy through the generative adversarial network, generating a final scheduling action through a strategy mixing mechanism, and realizing distributed real-time optimal scheduling. According to the method, the problems of multi-target collaboration, high-uncertainty scheduling and real-time distributed decision making in a high-proportion renewable energy system are effectively solved.

The invention discloses a photovoltaic module early-stage fault early-warning method based on electric-thermal characteristic joint analysis, and belongs to the field of photovoltaic module early-stage fault early-warning, and the method comprises the steps: segmenting an irregular high-temperature or low-temperature region according to a temperature distribution image through employing a data segmentation algorithm, and extracting the boundary contour and area quantification characteristics of the abnormal region; performing joint feature vector construction by using the abnormal region boundary contour and area quantization feature and the current and voltage fluctuation amplitude in the electrical signal time sequence to obtain the comprehensive fault diagnosis vector; according to the preliminary fault classification label, extracting a temperature electrical corresponding association mode of a similar fault case from a historical fault diagnosis database, and obtaining an enhanced fault corresponding relation model; and generating a system risk assessment report by adopting the final fault diagnosis classification result, triggering a corresponding alarm mechanism, and judging the overall risk level of the renewable energy system.

The invention discloses an operation state prediction method and device of a building new energy system, and the method comprises the steps: obtaining various monitoring variables of a target building, inputting the various monitoring variables of the target building into a trained prediction model, and obtaining the prediction results of the various monitoring variables of the target building in a set prediction time range; based on the prediction result, evaluating the operation state of the target building: firstly calculating a basic threshold value, and then determining a dynamic threshold value according to the basic threshold value, an equipment aging factor and a seasonal factor; the prediction result is compared with a dynamic threshold value, and if the prediction result is smaller than or equal to the dynamic threshold value, the operation state of the building new energy system is a normal state; and if the prediction result is greater than the dynamic threshold value, indicating that the operation state of the building new energy system deviates from the normal interval and the building new energy system has an abnormal phenomenon.

The invention discloses a method and a system for evaluating internal dynamic complementary characteristics of a multi-energy complementary power system. The method comprises the following steps: S1, acquiring an actual output time sequence of each unit; defining a fluctuation energy unit total output sequence, an adjustment energy unit total output sequence and a system total output sequence; s2, basic quantitative indexes of the random fluctuation dimension, the climbing trend dimension and the energy time shift dimension are calculated respectively; s3, calculating a random fluctuation compensation index, a climbing compensation index and an energy time shift index; s4, a comprehensive evaluation index MIRCI is calculated; s5, calculating an adjustment capability utilization factor RUF of each adjustment unit; and S6, based on MIRCI and RUF, performing complementary effect diagnosis. According to the method, the overall stabilizing effect of the adjusting resources on the fluctuating energy is effectively quantified, diagnosis of the complementary effect and limiting factor positioning are achieved, and the absorption capacity and the operation efficiency of the high-proportion renewable energy system are remarkably improved.

A renewable energy production system includes a plurality of solar panels and a torque tube. The torque tube has an exterior shape defined by an arcuate surface and a flat surface connected to the arcuate surface. The plurality of solar panels are coupled to the flat surface. A plurality of support columns is used to support the torque tube.

The invention discloses a water-wind-light hybrid energy system optimization capacity configuration method and equipment considering resource space-time heterogeneity, and relates to the field of hybrid renewable energy system planning and optimization. According to the method, fine modeling is carried out on inherent high-dimensional space-time heterogeneity and related planning uncertainty of water, wind and light resources, meanwhile, high-fidelity water and electricity simulation is integrated, and therefore optimal configuration of the whole system is achieved. According to the method, firstly, a high-dimensional problem is simplified through a strategy of clustering first and then decomposition; and diversified climate scenes are generated in combination with a conditional variation auto-encoder and Latin hypercube sampling, and rare events are covered to enhance robustness. Results show that through fine consideration of spatial-temporal heterogeneity and uncertainty, remarkable and quantifiable economic and reliable double benefits can be brought.

The present disclosure provides systems and methods for managing electrical energy generated by a renewable microgrid. One or more processors of a system may store priorities for one or more consumer loads; forecast an amount of available electrical energy for a time period; allocate a first electrical energy amount to a first consumer load to a first energy limit for the time period; determine more electrical energy is forecast to be available from the RES or the ESS for the time period; identify a second consumer load of the one or more consumer loads; allocate a second electrical energy amount to the second consumer load for the time period; and direct electrical energy from the RES or the ESS to the first and second consumer loads according to the allocations.

The invention relates to the development of low-cost functionalised copper (II) hydroxide (f-Cu(OH)2) electrodes for energy storage technologies and electrochemical devices. By means of surface functionalisation using high-energy X-rays, the energy storage capacity of the material is increased and an environmentally friendly production process is provided. The electrodes produced by this method can be used in applications such as supercapacitors, portable electronic devices, and renewable energy systems.

The invention discloses a renewable energy coupling hydrogen production control method and system based on a virtual synchronous machine. The control method comprises the steps that a virtual synchronous machine controller obtains renewable energy power generation system parameters; setting a given value of a virtual synchronous machine controller; establishing a power distribution strategy of the ALK hydrogen production system, the PEM hydrogen production system and the electric energy storage device BMS system according to the output active power condition of the renewable energy power generation system; constructing a virtual synchronous machine model of the renewable energy coupling hydrogen production system according to the obtained parameters, and associating the current condition of the coupling hydrogen production system according to the model; output parameters of the virtual synchronous machine model are sent to a grid-side converter, and a switching signal required by a switching tube is generated; and distributing the given output of the power distribution strategy to the corresponding system through the grid-side converter. The problems that an existing system is not high in integration degree, electric power splicing of a renewable energy system and a hydrogen production system is singly considered, and the renewable energy fluctuation stabilizing capacity is limited are solved.

The invention discloses a virtual power plant collaborative optimization scheduling method and system based on multi-time scale prediction, and relates to the technical field of virtual power plant collaborative optimization scheduling, and the method comprises the steps: obtaining multi-dimensional operation data of a virtual power plant scheduling object; the scheduling object comprises a distributed renewable energy system, an energy storage system and a controllable load system; performing medium and long term and short term multi-time scale prediction according to the acquired data; performing preliminary scheduling planning on the basis of medium and long term prediction results, and generating a short-term optimization scheduling plan in a rolling manner by taking the preliminary planning result as a constraint and utilizing a short-term rolling optimization model introducing a reinforcement learning algorithm to continuously adjust the weight of an objective function of the optimization model according to the short-term prediction data; and taking the short-term optimization scheduling plan as a reference, performing calculation by using a real-time control model based on measured data, and issuing a real-time control instruction to each scheduling object. According to the invention, adaptive optimization scheduling of the virtual power plant can be realized, and comprehensive benefits are guaranteed.

The invention discloses a new energy station and distributed pumped storage power station coordinated optimization method and system, and the method comprises the steps: firstly constructing an output power time sequence model of wind power generation and photovoltaic power generation, and predicting the output power at different moments; secondly, the fluctuation rate of the new energy station yard is calculated according to the output power, and the wind and light capacity ratio is optimized to reduce fluctuation; a distributed pumped storage power station output model is constructed based on hydrological conditions; and finally, combining the output model of the pumped storage power station with the optimized wind and light capacity ratio, constructing a multi-objective optimization function, and outputting the optimal capacity ratio of the new energy station yard to the pumped storage power station. According to the method, the wind and light output time sequence characteristics of the new energy station and the operation constraint of the distributed pumped storage power station are combined, a multi-objective optimization function with the total cost minimization and new energy consumption maximization as objectives is constructed, new energy and energy storage collaborative optimization is achieved through calculation, decision support is provided for planning of a high-proportion renewable energy system, and the method is suitable for large-scale popularization and application. And investment and decision risks are reduced.

The application relates to a kind of digital power energy storage system dynamic network reconfiguration methods in the technical field of power energy storage, S1. Build energy storage system;It is composed of intelligent layer, control layer and data layer;S2. Energy storage network modeling;Adopt graph capsule neural network to learn the optimal control strategy of energy storage network;S3. Dynamic network reconfiguration;Based on Markov decision process, generate fault emergency response model;By systematic optimization of the topological structure and optimal control strategy of energy storage network, the quick isolation of fault area is realized, and the dynamic adjustment and reconfiguration of the working mode of energy storage equipment and load equipment are realized, to ensure that the energy storage network can still operate stably under fault situation, improve the flexibility and elasticity (fault tolerance) of energy storage system in dynamic environment;By reducing the energy loss in the transmission process, balancing network load and preventing local failure, the technical problems existing in the prior art are solved, and the sustainable development of new renewable energy system is promoted.

The application belongs to the field of green building and building construction technology, and specifically discloses a green low-carbon building civil engineering integrated efficient construction building method. In view of the problems of design construction disconnection, multi-specialty cross conflict, high carbon emission and serious resource waste in traditional building civil engineering construction, the application constructs a 'cooperative design-factory prefabrication-assembly construction-low-carbon operation and maintenance' integrated system, and the method comprises the following steps: multi-specialty cooperative deepening design and carbon emission calculation based on BIM; factory prefabrication of low-carbon concrete components and integration of thermal insulation structure exterior wall; on-site assembly type construction and dry method connection; renewable energy system and photovoltaic building integrated synchronous installation; and whole life cycle carbon footprint monitoring and closed loop optimization. The application realizes the synchronous construction of the envelope structure and the main structure by driving the deep integration of industrialized production and assembly type construction through digital design, so that the construction period can be shortened, the whole life cycle carbon emission of the building can be reduced, and the civil engineering integrated green construction is realized.

Disclosed is a battery aging assessment method based on multi-source and multi-scale high-dimensional state space modeling in the field of energy storage in renewable power systems. The method includes: acquiring a time series of each discharge process within a preset number of discharge cycles of a sample battery; determining a first state transition path and a second state transition path based on discharge parameters corresponding to the time series; establishing a benchmark working-state transition path; calculating multiple sample distances between the second state transition path and the benchmark working-state transition path; training a battery aging assessment model using the sample distances as input and corresponding target state-of-health values as output; calculating a target distance between a state transition path of a to-be-predicted target battery and the benchmark working-state transition path.

The invention relates to the technical field of carbon emission accounting, and provides a carbon emission accounting method for a high-speed rail passenger station, and the method comprises the steps: determining the building information of a to-be-accounting high-speed rail passenger station and the accounting boundary information of carbon emission; based on the building information and the accounting boundary information of the carbon emission, determining a carbon emission source list of the to-be-accounting high-speed rail passenger station; based on the carbon emission source list, the carbon emission generated by using energy, treating generated waste, operating vertical transportation equipment, providing hot water, using a communication system, maintaining the passenger station, using a cooling system, heating and refrigerating, using a standby power supply, operating a lighting system and the like in the unit operation time of the high-speed rail passenger station to be checked is determined. The carbon emission reduction amount of the operation renewable energy system and the carbon sequestration amount of the operation carbon absorption system; and based on each carbon emission amount, carbon emission reduction amount and carbon sequestration amount, determining the total carbon emission amount of the to-be-checked high-speed rail passenger station in the unit operation time. According to the invention, carbon emission accounting can be accurately carried out on the high-speed rail passenger station.

The invention belongs to the technical field of power systems, and discloses a hybrid renewable energy system, a control method and a charging system.The hybrid renewable energy system comprises a bidirectional Zeta converter, an inverter, a photovoltaic power source and a wind power source; the bidirectional Zeta converter comprises a first switch tube, a second switch tube, a first capacitor, a second capacitor, a third capacitor, a filter capacitor, a first inductor, a second inductor and a diode. The inverter comprises an inverter first switch tube, an inverter second switch tube, an inverter third switch tube, an inverter fourth switch tube, an inverter fifth switch tube and an inverter sixth switch tube; the source electrode of the fifth switch tube of the inverter is connected with the drain electrode of the sixth switch tube of the inverter; and the inverter is connected with a power grid. According to the invention, the efficiency of the photovoltaic system is obviously improved, so that photovoltaic and wind power generation systems are integrated into a power grid, and continuous and reliable power supply is provided for charging of the electric vehicle.

1. The name of this design product: Silicon carbide power module. 2. Application of this design product: Used for power conversion and drive control in power electronic equipment such as electric vehicles, renewable energy systems, industrial motor drives, power supplies, and data centers. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

A platform arranged to support a renewable energy system, the platform comprising a central structure (103), wherein the central structure comprises at least three pivot connections (104); and at least three radial arms (102), each radial arm configured to be pivotably connected to a respective pivot connection of the central structure such that each of the at least three radial arms are configured to pivot between a folded configuration and an unfolded configuration.

The invention relates to a wind-light-heat storage system collaborative operation optimization method and device based on data driving, and the method comprises the steps: 1, building a historical database, collecting the historical data of a wind-light-heat storage system, and carrying out the preprocessing of the collected data, and obtaining a standardized data set; the wind-solar heat storage system is a multi-modular hybrid energy power generation system; step 2, based on historical data, establishing a photovoltaic output prediction model, a wind power output prediction model and a load power consumption prediction model by using a deep learning method; and step 3, based on prediction results of the photovoltaic output prediction model, the wind power output prediction model and the load power consumption prediction model, dynamically optimizing a system operation strategy through an optimization model. The method can achieve the precise matching of the system output and the load demand, is suitable for a hybrid scheduling mechanism of a large-scale centralized renewable energy system, and improves the overall reliability of the system.

This invention discloses a frequency security planning method for grid-based energy storage in high-proportion renewable energy systems. The method includes: acquiring basic data of the high-proportion renewable energy system; establishing an equivalent model of frequency dynamic response by quantifying the coupling relationship of relevant parameters and constructing frequency security constraints; then establishing a medium-to-long-term time-series operation simulation energy storage planning model with the goal of minimizing the total life cycle cost; and finally solving the time-series segmented problem to obtain the result and regulate the system. This invention proposes a frequency security planning method for grid-based energy storage in high-proportion renewable energy systems. By quantifying the coupling relationship between grid-based energy storage parameters and system frequency dynamics, embedding multi-dimensional frequency security constraints, and integrating them into a medium-to-long-term time-series planning model, it can solve the problem that in the medium-to-long-term time-series operation planning of energy storage in high-proportion renewable energy systems, the lack of quantification of the coupling relationship between grid-based energy storage parameters and system frequency dynamics, and the absence of embedded frequency security constraints, makes it difficult to ensure system frequency security.

The application discloses a photovoltaic energy-saving curtain wall based on a renewable energy system and belongs to the technical field of photovoltaic energy-saving curtain walls, which comprises a longitudinal beam assembly installed on a building outer wall, a cross beam assembly vertically installed on the longitudinal beam assembly, and a positioning frame sealingly installed between the longitudinal beam assembly and the cross beam assembly; a folding photovoltaic power generation module is used to convert renewable solar energy into electric energy; the folding photovoltaic power generation module comprises a fixed strip plate fixedly installed in the center of the positioning frame, two groups of movable strip plates symmetrically installed in the positioning frame relative to the fixed strip plate, and two groups of photovoltaic plates arranged between the movable strip plates and the positioning frame and rotationally connected with each other; the photovoltaic energy-saving curtain wall can control the rotation and folding of the multiple groups of photovoltaic plates according to the needs of building ventilation, illumination and light energy conversion, and can synchronously drive the longitudinal movement of a cleaning flow guide module during the operation process, so that the surface of the photovoltaic plate can be automatically cleaned.

This invention introduces a novel energy conversion system and method that synergistically combines the electrohydraulic and piezoelectric effects to enhance electricity generation efficiency. By leveraging the overunity energy potential of cavitation, the system achieves exceptionally high energy efficiency for producing electrical energy. It features a hermetically sealed container filled with a pressurized dielectric liquid, electrodes connected to a high-voltage power source to induce cavitation, and a geometric shape incorporating piezoelectric material to directly convert energy from pressure shock waves into electricity. This approach uniquely exploits cavitation dynamics to generate sustainable and efficient electrical power, offering a scalable solution adaptable to various applications. The invention has the potential to revolutionize renewable energy systems by providing a cleaner and highly efficient source of electricity.

The invention discloses a water-wind-light-hydrogen combined system collaborative scheduling method based on ecological value accounting, and the method comprises the steps: building an ecological service value evaluation model, and quantifying the ecological value of each energy main body through indexes such as ecological flow guarantee and carbon emission reduction; an ecological footprint model of the multi-energy complementary system is constructed, and an ecological bearing capacity evaluation model is established in combination with the regional resource environment capacity; the output of a wind power plant and a photovoltaic power station is predicted by adopting Monte Carlo simulation in combination with a K-means clustering algorithm, and meanwhile, output operation models of a cascade hydropower station and an electrolytic hydrogen production system are established; the method comprises the following steps: constructing a double-layer collaborative scheduling optimization model, solving the double-layer collaborative scheduling optimization model by adopting an NSGA-II multi-objective optimization algorithm, obtaining a Pareto optimal solution set through non-dominated sorting and congestion degree calculation, and obtaining an optimal scheduling scheme considering ecological benefits and economic benefits. According to the method, the ecological benefit of the renewable energy system is quantified and the ecological-economic collaborative optimization model is constructed, so that the problem that a traditional scheduling method is difficult to consider both ecological protection and economic benefit is solved.

The invention relates to a high and new energy power system balance risk assessment method based on mean value risk coordination, and the method comprises the steps: building a balance risk stochastic optimization model integrating expected operation cost and tail risk control based on a preset mean value-conditional value-at-risk stochastic optimization framework; based on the balance risk stochastic optimization model, constructing a balance risk index system comprising universal indexes and special indexes; and evaluating the overall risk level of the power system based on the universal indexes in the balance risk index system, and evaluating the multi-time scale balance risk of the power system in short-time power imbalance, medium-term power shortage and long-term structural rigidity based on the special indexes in the balance risk index system. According to the method, the economical efficiency and the tail risk can be effectively balanced, the index system has good sensitivity and distinction degree for the system vulnerability under different time scales, and quantitative support is provided for risk assessment and flexible resource planning of the high-proportion renewable energy system under the extreme meteorological condition.

The invention belongs to the technical field of electric energy storage system optimization, and discloses a water-hydrogen complementary system toughness optimization method based on intra-day-cross-season coupling nesting, and the method comprises the steps: S1, multi-time scale feature extraction and framework construction; s2, designing a target function; s3, constructing water-hydrogen coupling constraint logic; s4, constructing a toughness optimization model; and S5, carrying out cross-time scale iterative optimization. Through cross-time-scale collaborative optimization, the clean energy utilization rate is improved, the energy storage strategy is optimized, and the electricity purchase cost and the operation cost are reduced; a supply-demand matching unbalance rate index is introduced, wind and light abandoning is reduced, and the stability and sustainability of the system are improved; and through hydrogen supply toughness index and equipment characteristic modeling, the adaptability and recovery capability of the system under seasonal fluctuations and emergencies are enhanced. The method is suitable for a high-proportion renewable energy system and has good popularization prospects and practical application value.

The invention relates to a planning and optimal configuration method for an active traction network energy system, and the method achieves the construction of a universal planning and optimal configuration method through three typical scenes, and carries out the planning and configuration of a new energy and energy storage system in a traction network in consideration of the operation cost and a full-life-cycle net present value. Therefore, it is guaranteed that the railway system has economic feasibility, carbon reduction of the railway system is guaranteed, and meanwhile energy self-consistency is achieved to the maximum extent. According to the method, a double-layer optimization model is adopted for capacity configuration optimization, an upper-layer optimization model adopts an intelligent algorithm to perform capacity planning on a renewable energy system and an energy storage system so as to achieve the lowest net present value cost in the whole life cycle, and a lower-layer optimization model calculates the operation cost through a solver so as to achieve the purpose of reducing the operation cost of operation and maintenance, electricity purchasing, electricity selling and the like. The upper layer and the lower layer depend on each other, the whole life cycle cost and the real-time operation efficiency are both considered, and the scientificity and operability of energy system planning are improved.

An indoor air pollution-free cleanroom system which achieves artificial intelligence green and health building standards is disclosed. Based on an indoor air pollution detection and purification system combined with an efficient building design structure, a renewable energy system, a water resources management system, a circular economy and resource recycling, the requirements of high comfort and low energy consumption of the green building standards (LEED standards) and the healthy building standards (WELL standards) are achieved, the new artificial intelligence green and healthy building standards is achieved, and the advantages of controlling indoor air pollution, water pollution, noise pollution and carbon emission to be zero, extremely saving energy, improving the health and comfort of the living environment are achieved.

The invention relates to the technical field of renewable energy system configuration, and discloses a renewable energy system configuration optimization method and device based on time sequence modeling, and the method comprises the steps: carrying out the operation simulation of a power system according to original operation time sequence data, so as to obtain simulation time sequence data; decomposing the original operation time sequence data based on a seasonal adjustment method to determine a consumption capability parameter; determining acceptance characteristics according to the simulation time sequence data and the absorption capability parameters, and performing clustering analysis on the load area based on the acceptance characteristics to obtain a configuration area; and determining a renewable energy system configuration model corresponding to the configuration area and solving the renewable energy system configuration model so as to optimize the renewable energy system configuration of each configuration area according to a solving result. According to the method provided by the invention, accurate configuration of the renewable energy system is realized by fusing time sequence data analysis, regional difference analysis and collaborative optimization of multiple types of renewable energy systems, so that the admitting ability and operation flexibility of a power system are improved.

The invention relates to the technical field of ocean renewable energy sources, and discloses a novel vertical coupling type ocean renewable energy source system which comprises a floating platform, a floating assembly is installed at the lower end of the floating platform, a mooring assembly is installed on the outer side of the floating assembly, and a supporting frame is installed at the upper end of the floating platform. According to the floating platform, the wave energy conversion mechanism and the photovoltaic module are structurally integrated, the limitation that traditional ocean energy equipment is independently arranged is broken through, multi-source collaborative arrangement and energy output are achieved, the energy utilization efficiency of a unit sea area is improved, and the energy utilization rate of the unit sea area is increased. Synchronous collection and cooperative control of ocean wave energy and solar energy are achieved, the stability and redundancy of an energy system are improved, the floating platform can be quickly assembled, modular assembly design is achieved, the number of floating bodies or the arrangement density of wave energy devices is increased according to different sea area requirements, construction, disassembly, assembly and later maintenance are facilitated, and the service life of the floating platform is prolonged. And the method has good engineering implementation.