73 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 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.

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 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 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.

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.

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.

A floating offshore renewable energy system mounting platform for supporting a renewable energy system in a body of water is provided. The platform comprises a floating column having a top end and a bottom end, the column being arranged to support a renewable energy system thereon; and a plurality of mooring lines arranged to tie the columns to a bottom bed of the body of water such that the floating columns are positioned at a working depth in the body of water. The plurality of mooring lines includes: one or more first mooring lines secured to a bottom end of the column, the bottom end remote from the top end and arranged to engage a bed of the body of water; and at least three further mooring lines, a first end of each further mooring line being connected to the column between the top end and the bottom end of the column and a second end of each further mooring line being arranged to engage a bottom bed of the body of water such that the further mooring lines are oriented diagonally relative to the column at the working depth; wherein at the working depth, the first end of the post is positioned above the surface of the body of water and the second end is positioned below the surface of the body of water. The described platform is aimed at providing a simple and stable offshore renewable energy system installation scheme with simpler manufacturing, assembly and deployment procedures and easier advancement approach for deployment and maintenance of the vessel to minimize damage during deployment and maintenance.

A method may include receiving first parameters of a first renewable energy asset of a first type to be simulated, wherein the first parameters include a first set of parameters within a first predetermined range, receiving second parameters of a second renewable energy asset of a second type to be simulated, wherein the second parameters include a second set of parameters within a second predetermined range, correlating the sets of parameters into a plurality of simulated REPPs, for each simulated REPP of the plurality of simulated REPPs, calculating output parameters by co-optimizing dispatch of the first renewable energy asset and the second renewable energy asset, and displaying a graph including a visual representation of one or more output parameters of the output parameters of each simulated REPP of the plurality of simulated REPPs.

This application discloses a method, device, terminal, and medium for evaluating the stability characteristics of high-proportion renewable energy systems. The solution provided in this application constructs a model of a high-proportion renewable energy penetration system based on grid-connected energy storage and performs multi-parameter fault simulation and iterative adjustment, which can realistically reflect the voltage dynamic characteristics of the system under high wind power penetration. Therefore, this method provides a unified simulation platform for voltage stability issues in high wind power penetration systems, enabling quantitative evaluation of the voltage support effect of grid-connected energy storage. This solution helps to form criteria that can be directly used for engineering capacity configuration, providing a basis for the planning and design of grid-connected energy storage in high wind power penetration grids, thereby effectively improving the system's dynamic reactive power support capability and solving voltage stability problems.

An apparatus configured for use with an energy management system is provided and comprises a three-phase system connection comprising three power production wires and a neutral wire, the three-phase system connection configured to transpose the three power production wires so that multiple single-phase microinverters are equally distributed over the three-phase system connection and a power line communication (PLC) filter connected to the three-phase system connection and PLC signal wires which are transposed via the three-phase system connection and connected to the multiple single-phase microinverters, the PLC filter is configured to couple / decouple the PLC signal wires to / from the three power production wires to prevent shorting of the PLC signal wires during operation.

A mooring system for a floating electric power producing unit such as a wind turbine or a wave energy converter comprises a buoyant element held beneath the surface and a swivel supported by the buoyant element. The swivel comprises a static part that is held against angular movement about an upright axis and a rotating part that is movable angularly relative to the static part about the upright axis. A mooring link extends between the power producing unit and a mooring point supported by the buoyant element. A conductor link extends between the power producing unit and a connector supported by the buoyant element. The mooring point and the conductor link are movable angularly about the upright axis together with the rotating part of the swivel. Angular movement of the mooring link about the upright axis drives corresponding angular movement of the conductor link about the upright axis.

Systems / methods for controlling residential renewable energy systems, such as a home solar and storage power system, resolve or avoid overloading that could arise as a result of new loads / sources in the home or existing loads drawing too much power. The systems / methods provide a power control system (PCS) in the solar and storage power system that is configured to monitor the current in one or more busbars or other conductors in the home. If the current in the busbars or other conductors exceeds a predefined current threshold, then the PCS is configured to control the solar and storage power system to either supplement the current in the busbars or limit the current, and trip a microgrid interconnect device (MID) if other methods have been exhausted. This helps resolve or avoid overloading the power distribution system that could lead to unwanted overheating or tripping of an electrical panel breaker in the home.

The invention discloses a building system and renewable energy system collaborative optimization method, and aims to realize collaborative optimization of a building system and an energy system in zero-carbon building design. According to the method, an integrated numerical model is constructed based on the mechanism of energy flow, conversion and dissipation among multiple systems of building, enclosure structure, energy supply and energy storage, and building design parameters, building enclosure structure performance, a renewable energy system and an energy storage system are coupled from the overall level. By introducing a continuous decision variable and a discrete decision variable and adopting a multi-target heuristic intelligent optimization algorithm, unified modeling and collaborative solving of different types of design parameters are realized. According to the method, on the basis of considering double targets of carbon emission and economic cost, the balance and global optimal solution of the carbon emission and the economic cost can be obtained, the defect that a traditional method is limited to a single link, a single system and single target local improvement is overcome, and a new theoretical basis and practical reference are provided for architects and engineers to carry out low-carbon building design.

The present disclosure envisages a hybrid energy storage system (HESS) for power management of a microgrid. The system includes a plurality of renewable energy sources (RES), a plurality of power converters, a DC bus and a power management controller. Each RES is configured to generate a current IRES. Each RES is connected to a power converter. Each power converter generates a DC voltage Vdc from the current IRES. The DC bus is connected to the plurality of power converters. The DC bus receives the DC voltage Vdc. The power management controller controls a battery energy storage system (BESS) and a supercapacitor energy storage system (SCSS). The BESS includes a battery which is connected to receive the DC voltage Vdc and generate a battery current ibatt. The SCSS includes a supercapacitor which is connected to receive the DC voltage Vdc and generate a supercapacitor current iSC.

The application discloses a kind of short process steel enterprise participates in the peak shaving control method of high proportion renewable energy system.The short process steel enterprise participates in the peak shaving control method of high proportion renewable energy system of the application includes: design fusion short process steel enterprise's renewable energy peak shaving architecture and build short process steel enterprise load response model;Establish the non-cooperative game process based on grid demand release, enterprise response solution and aggregator information interaction;With the peak shaving demand in high proportion renewable energy power system and enterprise production electricity pricing and incentive double signal response mechanism are formulated;Build source and load double-layer economic dispatching model, hierarchical iteration solution and reach source and load benefit balance;The effectiveness of the peak shaving control method provided in the application is analyzed.The application aims to comprehensively consider the game equilibrium of grid peak shaving demand and short process steel production electricity, to improve the renewable energy consumption rate of power grid and thus improve the grid peak shaving effect, with the advantages of scientific and reasonable, strong applicability, good effect.

The invention belongs to the technical field of voltage stabilization of a new energy sending-end system, and provides a distributed phase modifier addressing and sizing method considering voltage stability constraints, which guides phase modifier addressing by evaluating system static voltage stability index distribution, and further plans the capacity of a phase modifier by taking the minimum investment cost and the reliability of system operation as targets. Comprising the following steps: 1) constructing a model of the new energy power system containing the phase modifier; and 2) constructing a voltage stability index based on a power flow equation solution theory. According to the distributed phase modifier addressing and sizing method considering the voltage stability constraint, the static voltage stability index distribution of the system is evaluated to guide phase modifier addressing, and then the capacity of the phase modifier is planned with the minimum investment cost and the reliability of system operation as targets. Example analysis shows that the method can obviously improve the voltage support strength of the high-proportion new energy system and improve the voltage safety of the system during operation by configuring fewer phase modifiers.