2496 results about "Energy source" patented technology

The invention relates to an offshore energy platform coordinated scheduling method based on multi-energy complementation and hierarchical optimization, which combines multi-energy complementation characteristic modeling, multi-target opportunity constraint optimization and rolling optimization, and realizes offshore multi-energy coordinated scheduling by constructing a hierarchical decoupling optimization and control system. Based on prediction and historical data of multiple types of energy such as offshore wind power, photovoltaic energy and tidal energy, complementarity and flexibility of the energy are quantified, high-quality data support is provided for scheduling optimization, a day-ahead layered optimization model containing renewable energy priority consumption and flexible standby configuration is constructed, and a medium-and-long-term output strategy is formulated. Output of various energy sources is dynamically adjusted through a rolling optimization mechanism, and flexible response to renewable energy fluctuation is achieved. And finally, second-level frequency and voltage support is realized by using a virtual synchronous machine and droop control, and the self-adaptive capability of the system is enhanced. According to the invention, the cooperative regulation capability and operation stability of the offshore platform multi-energy system can be effectively improved, and the dependence on a traditional standby power supply is reduced.

A data-driven dynamic energy management system for the adaptive coordination of renewable and conventional energy sources, consisting of: a processing unit configured to perform real-time calculations to optimize the generation, storage, and distribution of electrical energy by continuously analyzing operational data, forecasting future energy demand, and generating control instructions to match available generation resources with forecasted consumption demand; a storage unit connected to the processing unit, configured to store records of historical energy production and consumption, environmental data, operating thresholds and learned model parameters, and to provide said data as input for the forecasting and optimization routines performed by the processing unit; a multitude of IoT-based monitoring units, each comprising at least one sensor configured to measure instantaneous parameters of generation, storage level, consumption rate and environmental conditions, with each monitoring unit being configured to periodically transmit measurement packets to the processing unit via a secure communication network; a forecasting unit implemented in the processing unit, configured to process historical and real-time data to create forecast curves for demand and generation using statistical and probabilistic forecasting techniques, and to dynamically update the weights of the forecasting model in response to observed deviations between forecasted and actual output; an optimization control unit implemented in the processing unit and configured to evaluate the outputs of the forecasting unit together with current operational data to determine a set of optimized control variables representing the target generation contribution of each energy source, and to pass these targets to a lower-level controller for execution; a controller that is communicatively connected to the processing unit and the multiple energy generation sources and is configured to regulate the operation of each source by adjusting the activation state, output level and operating priority based on the control signals received from the processing unit; an energy storage management unit comprising at least one battery array and a power conditioning circuit, configured to receive control instructions from the processing unit, store excess generated energy, release stored energy when forecasted demand exceeds available generation, and report charging and discharging characteristics in real time to the processing unit for continuous recalibration; an alarm and notification control unit connected to the processing unit, configured to continuously compare storage levels and generation reserves with stored operating thresholds, trigger predefined responses when critical or abnormal conditions are detected, and transmit acoustic, visual, and digital remote alerts to designated operators; a user interface terminal connected to the processing unit, configured to display real-time generation statistics, demand forecasts, energy storage status, and system alerts, and to accept operator-defined parameter inputs that are transmitted to the processing unit for recalibration of forecast or optimization parameters; and a secure server interface configured to synchronize operational logs, learning data, and performance indicators with a remote monitoring or analysis server for centralized monitoring, long-term data analysis, and distributed decision support.

The invention relates to the technical field of electric power energy storage system planning analysis, and discloses an electric power system planning operation optimization method, system and device and a storage medium. The method comprises the following steps: collecting electrical and equipment states and environmental parameters for feature extraction, and evaluating the health state of equipment; grouping the distributed energy sources based on health state evaluation and weather early warning information to form a virtual power plant resource pool; performing task decomposition according to the characteristics of the resource pool, and formulating a collaborative scheduling strategy; arranging a maintenance plan according to the equipment state and the scheduling strategy; and optimizing system operation parameters based on the scheduling strategy and the maintenance plan to obtain a balance control scheme. According to the invention, under the condition of considering the health state of the equipment and the influence of extreme weather, the dynamic balance of the minimization of the operation cost of the power distribution network and the maximization of renewable energy consumption is realized through the intelligent arrangement technology of the virtual power plant group.

Described herein are systems and methods for analyzing biological samples. Including a method for processing an analyte, comprising providing a fluidic device comprising the analyte and one or more polymer precursors; selecting a discrete area within said fluidic device; providing an energy source in optical communication with fluidic device; and selectively supplying a unit of energy generated from the energy source to the fluidic device to generate a polymer matrix within the fluidic device, wherein the polymer matrix is within the discrete area or adjacent to the discrete area.

An energy management system can comprise a housing configured to receive energy storage assemblies within an interior region of the housing via one or more openings on a surface of the housing. One or more guide tracks positioned within the interior region can mechanically and electrically couple to the energy storage assemblies. One or more switches can electrically couple the energy storage assemblies in series to increase a voltage provided from energy storage assemblies to an electrical load and can electrically couple the energy storage assemblies in parallel to facilitate charging the energy storage assemblies from an energy source.

Systems for analyzing biological components are provided. The systems may include a fluidic device and an energy source in communication with the fluidic device. The energy source may supply energy to the fluidic device to form a polymer matrix on or adjacent to a biological component within the fluidic device. Methods of using the systems to analyze biological components are also provided.

The invention discloses a multi-time-scale optimization scheduling method and a related device suitable for a Sagolian new energy large base, and relates to the technical field of multi-energy comprehensive utilization, and the method comprises the steps: constructing a day-ahead optimization scheduling model, an intra-day optimization scheduling model and a real-time optimization scheduling model for the Sagolian new energy large base, the combination of the three models not only can fully excavate the complementary advantages among energy sources, but also can meet the stable operation requirement of a power transmission system; and further solving the day-ahead optimization scheduling model, the intra-day optimization scheduling model and the real-time optimization scheduling model to complete optimization scheduling of three time scales of day-ahead optimization scheduling, intra-day optimization scheduling and real-time optimization scheduling. According to the method, scientific and effective decision support can be provided for reliable operation of the Sagomean new energy large base.

The invention discloses an intelligent energy consumption distribution method for a multi-source energy system. The method comprises the steps of energy supply data fusion, dual-channel joint prediction, energy response lag correction, multi-objective optimization and intelligent energy consumption distribution. The invention relates to the technical field of data processing of power management and resource scheduling, and the method comprises the steps: carrying out the unified collection and archiving of operation control data and environment information of power grid energy, distributed photovoltaic energy and an energy storage system, and constructing an energy supply fusion data set; respectively extracting energy availability and user load characteristics by adopting a double-domain attention decoupling fusion joint supply and demand prediction method, and realizing double-channel joint modeling; modeling, estimating and correcting response lags of different energy sources in combination with a dynamic response curve reconstruction method; and further constructing a layered target penalty function containing real-time response error, economic cost, carbon emission and response penalty terms, and embedding the layered target penalty function into a particle swarm optimization algorithm to obtain an energy distribution strategy under multi-target optimization.

The invention provides a new class of transportation with a partially aerostatically supported ram air cushion ship (PASRACS) that can provide safe, fast, efficient global transport services with extraordinary comfort, luxury and amenities. The PASRACS employs inventive synergistic combinations of lift from aerostatic, aerodynamic, hydrostatic and hydrodynamic forces for different modes of operation ranging from a stationary floating configuration on a water surface, to flight in ground effect at high speed. A propulsion system can utilize hydrogen as an energy source driving fluid-dynamic thrusters, to enable zero carbon emissions operations. A transition method is provided for a PASRACS to transition from a floating mode to a takeoff mode to a flight in ground-effect mode in an inventive optimized manner. A transport method for multimodally transporting payload is provided with PASRACS vehicles and systems, with quick turn time operations enabled by the use of payload transfer transport modules and transfer vehicles.

In an approach to a state of health for grid applications, a system includes one or more battery energy storage systems having a plurality of batteries; energy sources; power distribution systems; and computing devices. The computing devices are configured to: for each of the battery energy storage systems: receive battery parameters for each of the batteries from the battery energy storage systems; determine a lithium plating state, a solid electrolyte interface (SEI) thickness, and a dendrite length for each of the plurality of batteries; determine a battery state of health (SOH) for each of the batteries based on at least one of the lithium plating state, the SEI thickness, and the dendrite length; determine a battery charge profile to mitigate aging for each of batteries based on the SOH; and send updated battery parameters and control thresholds for each of batteries to each of the battery energy storage systems.

The invention relates to the technical field of comprehensive energy systems, and particularly discloses a multi-source cooperative fault recovery control method for an electricity-gas comprehensive energy system, which aims at minimizing the sum of weighted power-loss load capacity, weighted gas-loss load capacity and network loss. A remote controllable switch of a power distribution network, opening and closing of a pipeline valve in a natural gas network and distributed energy output of an electricity-gas integrated energy system are used as control variables, corresponding constraint conditions are constructed for the power distribution network, the natural gas network and electrical coupling equipment, and a multi-source cooperative fault recovery problem is constructed. And an optimal recovery strategy is obtained by solving the multi-source collaborative fault recovery problem. According to the method, the characteristics of flexibility and coordination of the power-gas internet and the pipeline storage characteristic of the gas network are fully utilized, the power and gas load recovery state and the output of each distributed energy source are optimized in time, the system source load fluctuation can be effectively resisted, continuous supply of key loads is guaranteed, and the new energy utilization rate is increased.

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

The invention provides an impedance scanning device based on network side voltage dynamic compensation under a three-phase voltage imbalance working condition, and relates to the technical field of new energy station power electronic converter topology and control, the device comprises a three-phase rectifier, a direct current bus capacitor, an inverter, a voltage compensation device, a frequency sweeping device, a circuit breaker and a series transformer part, the three-phase rectifier is connected in series with inverters of the voltage compensation device and the frequency sweep device, a secondary side of a series transformer of the voltage compensation device is connected in series with a network side, a secondary side of a series transformer of the frequency sweep device is connected in series with a grid-connected point, and a primary side of the series transformer is connected to the inverters and is coupled to a secondary side of the series transformer; according to the device, the power grid side voltage is rectified through the voltage compensation unit and is compensated to the grid side after being subjected to single-stage inversion transformation, voltage compensation is achieved through the energy of a power grid when the voltage is unbalanced, and an external energy source or an interference source does not need to be introduced. After compensation, the accuracy of the frequency sweeping result is obviously improved.

A catheter system (100) for treating a treatment site (106) within or adjacent to a vessel wall (108A) of a blood vessel (108), or within or adjacent to a heart valve, includes an energy source (124) and a system controller (126). The energy source (124) generates a plurality of energy pulses. The system controller (126) includes a processor that controls the energy source (124). The system controller (126) is configured to implement an energy control algorithm to control both of (i) a pulse frequency of the plurality of energy pulses, and (ii) an energy level for each of the plurality of energy pulses that are generated by the energy source (124). As the pulse frequency of the plurality of energy pulses increases, the energy level for each of the plurality of energy pulses decreases.

A toy rounds blaster apparatus launching multiple projectile rounds with an energy source including a single launch spring for moving one or more pistons within one or more cylinders. A pressure distributor couples each of the one or more cylinders forward the one or more pistons, with an alignment system receiving a collection of the projectile rounds, for aligning individual projectile rounds between pressure distributor and the at least one barrel, with the pressure distributor coupling each of the one or more cylinders with a respective one of the individual projectile rounds. An actuator is linked with the energy source for causing the single launch spring of the energy source to move the one or more pistons and launch the projectile rounds.

The invention relates to the technical field of electric energy storage control, in particular to an energy storage thermal power generating unit frequency modulation capability assessment method and system, and the method comprises the following steps: based on thermal power storage operation data, identifying node indexes and state records, extracting fluctuations and frequencies, assessing frequency response fitness, analyzing a regulation rate and a cooperation ratio, and screening risk units. And outputting the frequency modulation capability evaluation interval. According to the invention, through integration and identification of operation data of the energy storage thermal power generating unit, electric quantity fluctuation, an energy storage state and load change are monitored in real time, a response period of an energy storage unit is optimized, stability of a frequency modulation process is ensured, battery capacity, a temperature rise rate and a cycle frequency are comprehensively monitored, overload and efficiency reduction are avoided, stable scheduling of a power grid is guaranteed, and the power generation efficiency is improved. Through health risk identification and frequency modulation response space demarcation, cooperation of energy storage and thermal power generating units is realized, the regulation capability and long-term reliability of a power grid for dealing with fluctuating energy are enhanced, and the problem of response delay or efficiency in a traditional method is avoided.

The invention discloses a water-wind-light combined intelligent control system based on multi-energy coordinated control, and belongs to the technical field of multi-energy coordinated control, and the system comprises the steps: firstly collecting environment and operation parameters of wind power, photovoltaic and hydroelectric equipment, and carrying out the preprocessing of the environment and operation parameters to form a structured data set with a space-time label and a dynamic sampling identifier; performing space-time correlation analysis on the data set, constructing a wind power fluctuation and hydropower regulation margin real-time response matrix and a photovoltaic output attenuation and hydropower storage capacity compensation time sequence correlation model, and quantifying the multi-energy dynamic complementation degree and grading the data credibility through a two-dimensional coupling algorithm; then combining with a historical meteorological scene association rule base, constructing a water-wind-light combined power supply capability prediction model containing an energy characteristic mutual compensation coefficient, and generating a hierarchical regulation and control strategy with a space-time priority; and finally, executing a regulation and control strategy to complete parameter adjustment, continuously monitoring through closed-loop feedback, and triggering multi-energy collaborative complementary regulation when the single energy regulation capability is saturated, thereby realizing water-wind-light efficient collaborative control.

The invention provides a multifunctional heating ventilation air conditioner waste heat utilization method and system, and the method comprises the following steps: 1, obtaining multi-source data of an air conditioner system and an external heat source, carrying out the preprocessing, carrying out the grading collection and preliminary integration of the multi-source waste heat, and dividing the multi-source waste heat into high-temperature waste heat, medium-temperature waste heat and low-temperature waste heat; multi-source data of an air conditioning system and an external heat source are collected, condensation heat of a compressor, industrial waste heat and other multiple types of waste heat are integrated and subjected to staged treatment, and a high-temperature power generation-medium-temperature heat supply-low-temperature heat storage gradient utilization system is constructed; an LSTM neural network thermal load prediction model and an intelligent algorithm are combined to dynamically adjust a waste heat distribution path so as to realize self-adaptive switching of a refrigeration mode, a heating mode and a hot water mode, and meanwhile, a cascade system, photovoltaic energy, geothermal energy and the like are coupled through a direct-current micro-grid to construct a hybrid energy supply system. The problems that in the prior art, waste heat sources are single, energy efficiency is low due to the fact that gradient utilization is lacked, dynamic regulation and control are insufficient, and cooperation with renewable energy sources is not achieved are sequentially solved.

A modular electric wheel assembly. The assembly including a motor with a rotor in a rotary union with a stator. The motor of the brushless DC type and including a circular rotor rotating about a central axis and including a central hollow axle. The hollow axle configured for coupling with a removable energy source and / or an external energy source and including attachment structures for a plurality of attachments to enable riding by a user or configuration within a parent vehicle such as a bicycle or moped, or use as another machine type, such as a power tool or power generation machine. The rotor configured with a quick-change mechanism through a first ring configured to accept a plurality of removable wheel types and rotatable attachments, enabling a user to select a variety of unique wheel / tire types and configurations for a variety of applications.

Apparatuses and methods for drying an object are provided. An apparatus for drying an object may include a first airflow channel that has an airflow inlet and an airflow outlet. The apparatus may also include one or more radiation energy sources configured to provide thermal radiation toward the object. The apparatus may also include an airflow generating element configured to provide an airflow by effecting the airflow into the first airflow channel through the airflow inlet and direct a first portion of the airflow in the first airflow channel toward the airflow outlet. The apparatus may further include an airflow guide assembly configured to provide a second airflow channel through which a second portion of the airflow in the first airflow channel is guided to a target region. The target region abuts at least one of the one or more radiation energy sources.

A method and system for performing analysis and calculation of multi-energy flow for integrated energy system (IES), comprising establishing electrical power flow model, hydraulic model and thermal model, to form preliminary model of IES; constructing DHL-LSTM neural network for nonlinear regression of electrical power flow model, construct SHL-LSTM neural network for nonlinear regression of hydraulic model, and finding optimal parameters of two neural networks; training the two models, and adding error compensations into the two models; simplifying the thermal model, to obtain mechanism-driven linear thermal mode; and embedding mechanism-driven linear thermal model into error-compensated hydraulic model and error-compensated electrical power flow model respectively, to form and use final model of the IES to perform analysis and calculation of multi-energy flow. The present invention fully considers the coupling property inside the system, and avoids the situation that the convergence speed is slowed down when solving high nonlinear problems.

An elongated functional system configured to be advanced in the lumen of a pipe, a duct or a tube. The system has a body part having a main proximal part and a distal part, the distal part being a continuous extension of the proximal part, the distal part including one functional end terminating with a tip, and at least one active area located upstream the functional end on the distal part; and an actuator configured to transform an amount of energy to the distal part sufficient to cause a reversible and multiple curvature of the active area, thereby preventing undesired spring back of the whole system; the actuator being connectable to a source of energy.

The invention discloses a hydrogen fuel cell unmanned aerial vehicle energy management and trajectory tracking cooperative control method, and belongs to the field of hydrogen fuel cell long-endurance unmanned aerial vehicle energy management and trajectory tracking control. According to the method, the influence of external disturbance and model uncertainty is studied, fixed time control and active disturbance rejection control principles are introduced, a double-closed-loop unmanned aerial vehicle trajectory tracking method based on fixed time active disturbance rejection control is designed, and effective unmanned aerial vehicle working condition demand information and power control output in a time domain are obtained; based on demand information generated by trajectory tracking control, factors such as hydrogen fuel cell temperature difference, lithium battery SoC maintenance, hydrogen fuel consumption and energy source service life are comprehensively considered, a life attenuation cost function and an energy consumption cost function based on minimum equivalent fuel consumption are established, and an intelligent energy management cooperative control method fusing trajectory tracking control is designed. Hydrogen consumption is reduced, and the cruising ability of the whole machine is improved.

The invention relates to the field of power systems and automation thereof, in particular to a multi-energy system collaborative operation optimization method based on improved particle swarm optimization and a related device. Modeling according to the operation characteristics of the multiple energy systems to obtain a multi-energy system model; optimizing the multi-energy system model based on particle swarm optimization, and calculating and generating an energy scheduling result by taking system operation cost, energy utilization efficiency and pollutant emission as optimization targets; and distributing output priorities of different energies according to an energy scheduling result, and generating an energy storage system operation strategy based on the output priorities. According to the invention, the comprehensive power system model of photovoltaic, wind power, hydroelectric, thermal power and energy storage systems is constructed, and according to the operation characteristics of each energy device, the physical characteristics and dynamic interaction relationships of different energy sources can be accurately simulated. According to the model, equipment constraint conditions and real-time operation parameters are fully considered, high-precision basic data are provided for optimal scheduling, and the practicability and reliability of the model are remarkably enhanced.

A vehicle structure includes a plurality of first members disposed at a distance from each other and a plurality of second members disposed at a distance from each other in gaps between two first members. Each second member from the plurality of second members being rigidly attached to a respective pair of first members. A thickness of the plurality of first members and the plurality of second members being 0.5 inches or less. The vehicle structure is attached to two side components that are designed with sloped walls increasing a cavity for an energy source. An energy source shield may be also provided to shield and exposed end of the energy source at a front end of a vehicle. The side components include apertures to detachably fasten the energy source.

Apparatuses and methods for drying objects are provided. The apparatus can comprise a housing configured to provide an airflow channel having an airflow inlet and an airflow outlet, an airflow generating element configured to generate an airflow through the airflow channel, and one or more radiation energy sources configured to generate infrared radiation and direct the infrared radiation toward an exterior of the housing. A device controller can control the operation of the airflow generating element and the one or more radiation energy sources, and a power element controller in connection with the device controller can control the operation of the power element that can provide power at least to the radiation energy source and the airflow generating element.

The invention discloses a hybrid energy storage system differential standby power control method based on multi-information fusion, and relates to the technical field of hybrid energy storage, and the method comprises the following steps: collecting operation parameter data of a plurality of accessed energy sources in real time, constructing a multi-energy input data set, and transmitting the data to a system central control unit for unified processing. Through a multi-information fusion technology and differentiated standby power control, the system solves the problem of inconsistency of multi-energy data, and improves the power supply stability and efficiency. The power supply gap is predicted and scheduled in real time to guarantee stable operation of the base station; clean energy is intelligently allocated for peak clipping and valley filling, mains supply dependence and energy storage equipment loss are reduced, and the service life is prolonged. Meanwhile, energy distribution is optimized through data preprocessing and load matching, and energy consumption and cost are reduced.

An electrical line selection system comprising a circuit module configured to connect energy sources with multiple line outputs. The circuit module has a number of inputs configured to connect to energy sources, including rechargeable battery systems, and a number of outputs configured to connect with other electrical systems such as other battery systems, loads, charging sources, and various AC or DC power supplies. A switching circuit is contained by the circuit module and a controller manages the switching circuit based on desired connections and strategies for managing power supplies and current sinks.

The invention discloses a fuel cell hybrid electric vehicle power distribution method based on heuristic action planning deep reinforcement learning. The method comprises the following steps: establishing a power distribution system model of a fuel cell hybrid electric vehicle equipped with a lithium battery and a super capacitor; a power layered structure is provided, a deep reinforcement learning model of the fuel cell hybrid electric vehicle is designed, a probability transfer matrix of required power is constructed, and model training is performed in a data driving mode; designing a reward function by adopting an equivalent consumption minimum strategy, and guiding optimization of an energy management strategy by fuel economy; the motion space of deep reinforcement learning is improved by adopting heuristic planning, and smooth output of the fuel cell is kept on the premise of reducing equivalent hydrogen consumption. According to the method, power distribution of the three-energy-source fuel cell hybrid electric vehicle can be achieved in a complex and random driving environment, hydrogen consumption is reduced, dynamic adaptability to different driving conditions is improved, and meanwhile the method has the potential of real-time application.

The invention relates to the technical field of nuclear reactor safety, and particularly discloses a reactor waste heat export, recovery and comprehensive utilization system and method based on a heat pipe, and the system comprises a nuclear energy generation system, a secondary loop energy conversion system, a primary loop waste heat discharge system, a secondary loop waste heat discharge system, and a waste heat recovery and comprehensive utilization system. According to the waste heat recycling system, the heat pipe can be used for heat transfer and storage under the peak regulation operation condition, the nuclear heat use efficiency is remarkably improved, the requirements of various types of energy sources such as electricity and heat are met, and passive export of reactor core waste heat can be achieved through multi-natural-circulation coupling cooperative operation under the condition of a whole-field outage accident. By means of the efficient heat transfer characteristic and the modularization characteristic of the heat pipes, independent operation of the heat pipes can be achieved, the problem of single-point failure of the system can be avoided, meanwhile, separation of a reactor coolant and a cooling medium of a waste heat removal system can be achieved, the inherent safety of a nuclear reactor is remarkably improved, and the requirements of multi-purpose scenes are met; and the purpose of fully utilizing resources is achieved.