3424 results about "Energy source" patented technology

The invention provides a dynamic balance system for wind, light, fire and nuclear storage integrated regulation and control of a power grid in a cold region, which relates to the technical field of power grid regulation and control and comprises an energy data acquisition and preprocessing module, a multi-energy coordinated regulation and control module, an energy storage system optimization management module, an energy scheduling optimization module, an intelligent decision and monitoring module and a system communication and safety module. A multi-level, multi-module and intelligent comprehensive framework is constructed, collaborative management and optimal scheduling of various energy sources are achieved, stable operation, efficient energy utilization and sustainable development of a cold region power grid are ensured, global optimization is achieved through deep reinforcement learning, local precise control is conducted through fuzzy logic, and the energy utilization efficiency is improved. The system can intelligently distribute the generated power of each energy source of wind, light, fire and nuclear storage according to the real-time state and environmental conditions of the cold region power grid, gives full play to the advantages of different energy sources, realizes the complementary utilization of the energy sources, realizes the collaborative optimization of multiple energy sources, and improves the utilization efficiency and stability of the energy sources.

The present invention concerns a novel magnetic stimulation device and method with optimized energy usage and improved performance comprising: a magnetic field generating device, a first energy storage device and a second energy storage device connected in series to form an electrical oscillating resonant circuit; an energy source coupled to the first energy storage device; and a switch to allow charging of the first energy storage device from the energy source and initiating electrical oscillation of the resonant circuit, wherein after the initiation of the electrical oscillation the two energy storage devices repetitively exchange electric charge through the magnetic field generating device due to the electrical oscillation of the resonant circuit and a time varying magnetic field is generated. The time varying magnetic field induces electric currents in biological tissues that stimulate them.

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.

Systems, devices and methods are provided for stimulating one or more nerves within a user. A system comprises stimulator having an electrode configured for contacting the outer skin surface at a target location and an energy source coupled to the stimulator, The energy source is configured to generate at least one electrical impulse and to transmit the electrical impulse transcutaneously from the electrode through the outer skin surface of the user to a selected nerve in the user. In certain aspects, the systems and methods are particularly useful for non-medical purposes, such as reducing stress and anxiety, enhancing relaxation, improving sleep, energy, concentration and mood, increasing mental or physical performance, promoting mental health, recovery and wellness, generally improving the health and wellbeing of a user and / or for temporarily or permanently improving intelligence, learning capacity, memory retention, recall, mood, alertness and / or sleep efficiency in human beings.

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.

The invention relates to the technical field of smart power grids, and discloses a distributed renewable energy source and energy storage cooperative scheduling system of Internet of Things data, comprising a data acquisition and monitoring module used for acquiring the running states of distributed energy sources and energy storage units through the Internet of Things technology; the energy supply and demand prediction module is used for predicting energy supply and load demand according to historical data, real-time data and meteorological information and generating basic data of a scheduling strategy; the collaborative scheduling strategy module formulates a collaborative scheduling scheme of the renewable energy and the energy storage unit based on energy supply and demand prediction, and adjusts the charging and discharging time of the energy storage unit; the double-layer optimization decision module is responsible for long-period energy storage planning and short-period real-time scheduling optimization; and the real-time monitoring and feedback module dynamically adjusts a scheduling strategy based on feedback data. According to the invention, through real-time monitoring, supply and demand prediction and cooperative scheduling of renewable energy sources and energy storage equipment, the system can optimize distribution and use of energy to the greatest extent, and energy waste is reduced.

The invention discloses a distributed energy coordination control method based on multi-agent reinforcement learning, and the method comprises the following steps: S1, constructing a distributed energy coordination control architecture, taking each distributed energy as an agent, and defining a state space and an action space of the agent; s2, economics, environmental protection and reliability indexes in the distributed energy coordination control process are defined, and comprehensive indexes and constraint conditions are given; and S3, constructing a reinforcement learning network, carrying out training, integrating local information and a global target of each agent through a consistency coordination algorithm, ensuring that decisions of all agents can be coordinated and consistent, and obtaining a consistency coordination control strategy of the distributed energy. According to the invention, a deep reinforcement learning algorithm is utilized to realize adaptive coordination control of distributed energy, and the overall operation efficiency and reliability of the system are improved.

A catheter system for treating stenosis in a body lumen includes a first energy source, a second energy source, and a catheter. The catheter includes an elongate member that is navigable through the body lumen, a first acoustic energy emitter connected to the first energy source and configured to emit acoustic energy when energy is received from the first energy source, and a second acoustic energy emitter connected to the second energy source and configured to emit acoustic energy when energy is received from the second energy source.

A catheter system (100) for treating a treatment site (106) within or adjacent to a vessel wall (108A) of a blood vessel (108) includes an energy source (124), an energy guide (122A), and a guidewire lumen (118). The energy source (124) generates energy. The energy guide (122A) is configured to selectively receive the energy from the energy source (124). The energy guide (122A) includes a guide distal end (122D). The energy that is received by the energy guide (122A) is emitted from the guide distal end (122D). The guidewire lumen (118) having an outer surface (218S). At least the guide distal end (122D) of the energy guide (122A) is positioned adjacent to the outer surface (218S) of the guidewire lumen (118) A portion of the guidewire lumen (118) encompasses a plasma generator (133) that is positioned near the guide distal end (122D) of the energy guide (122A). The plasma generator (133) is positionable near the treatment site (106). The plasma generator (133) is formed from a polymeric material.

A catheter system (100) for treating a treatment site (106) includes an energy source (124), a balloon (104), an energy guide (122A), an inflation conduit (140) and a pressure sensor assembly (142). The balloon (104) is positionable substantially adjacent to the treatment site (106). The balloon (104) has a balloon wall (130) that defines a balloon interior (146) that receives a balloon fluid (132). The energy source (124) generates energy that is received by the energy guide (122A) so that the energy guide (122A) can guide the light energy into the balloon interior (146). The inflation conduit (140) is in fluid communication with the balloon interior (146). The inflation conduit (140) is configured to convey the balloon fluid (132) into the balloon interior (146). The pressure sensor assembly (142) is configured to sense a balloon pressure of the balloon fluid (132) within the balloon interior (146). The pressure sensor assembly (142) is in fluid communication with the balloon interior (146) and the inflation conduit (140).

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.

A vehicle provides an indication of status of an energy source that provides power for the vehicle. The vehicle includes an indicator, positioned on the vehicle at a location determined to be among a plurality of locations to most likely be intact during and after an accident. The indicator provides a predetermined indication that identifies status of an energy source that provides power for the vehicle. The indicator may provide a visual or acoustical indication or may provide a wireless message. The indication may provide an indication of one or more of make / model of the vehicle, battery charge level, type, danger condition, danger condition reoccurrence, danger condition suppression technique and a warning to not approach the vehicle.

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.

The invention discloses a new energy charging pile charging control method and system, and relates to the technical field of new energy, and the method comprises the steps: collecting user historical charging data, power grid load data, fixed electricity price information and weather forecast data in real time, and recognizing user charging habits and demands; generating a personalized charging scheduling strategy according to the charging habit of the user and the real-time power grid state; the availability of various energy sources is monitored in real time, the generating capacity and the cost of each energy source are evaluated, the priority of energy source selection is adjusted by using a personalized charging scheduling strategy, and an optimal charging mode is automatically selected; executing charging operation based on the charging mode selected by the user, and performing adjustment according to the power grid load and the energy consumption condition; the availability of various energy sources is monitored in real time, the generating capacity and the cost are evaluated, and the priority of the energy sources is dynamically adjusted, so that the response capability of the charging pile to environment change is improved, the charging cost of a user can be reduced, and renewable energy sources are fully utilized.

The present invention relates to a connector (1) configured for connecting to a mating connector (2) of a device for extracting energy from an energy source of the device, the connector (1) comprising: -- a longitudinal axis (L); -- a transverse axis (Q) extending perpendicular to the longitudinal axis (L); -- an outer housing (8) with a base element (9), a cover element (10) and an interior (11), wherein a first connection (12) for connection to the mating connector (2) is provided on an outer surface of the outer housing (8), wherein a second connection (13) for connection to a consumer connector (15) is provided in the interior (11) of the outer housing (8), wherein the second connection (13) is designed to be rotatable relative to the first connection (12), wherein the second connection (13) is designed to be rotatable relative to the first connection (12) about the longitudinal axis (L) of the connector (1) and / or about the transverse axis (Q) of the connector (1).wherein the second connection (13) can be rotated relative to the first connection (6) such that, with the consumer connector (15) inserted into the second connection (13), the cover element (10) can be mounted without gaps on the base element (9) with a straight cable exit of the consumer connector (15) and with an angled cable exit of the consumer connector (15).

A resilient on-site microgrid system includes a multiport power router directly connected to various energy sources, including batteries, renewable energy sources, and broader grid power, as well as various loads, including electric vehicle chargers. The multiport power router dynamically adjusts power provided from the various power sources and to the various loads, especially to power devices in a nearby facility. The microgrid system includes various bypass systems allowing for powering of critical loads in the event of failure of individual components or pathways within the microgrid system.

Embodiments of the disclosed systems and methods provide allow for dynamic management of electrical systems using an intelligent energy management system. Consistent with embodiments disclosed herein, an intelligent energy management system may allow for the dynamic connection of electrical sources and / or loads in accordance with applicable operating rules. Operating rules may be articulated and enforced by the intelligent energy management system that provide for event and / or state driven of an electrical system and / or associated sources and / or loads. Among other things, embodiments of the disclosed intelligent energy management system may support relatively flexible connection of electrical sources and loads, bidirectional energy usage to allow for energy to be both consumed from and fed back to a utility grid, improved battery storage and / or management, proactive energy source switching and predictive battery discharge management, and / or the like.

Systems and methods are disclosed for managing a tissue node potential of a neurostimulation system. The envisioned neurostimulation system can include an energy source, a housing or a housing portion, a stimulation node, a stimulation surface for contacting a tissue of a patient, and a control circuit. The control circuit can be configured to maintain at least one of the housing or housing portion, the stimulation node, or the stimulation surface at a predefined voltage or within a predefined voltage range.

The invention relates to the field of short-term load prediction and power dispatching control of a power system, in particular to an energy output optimization dispatching method and system considering a random source load virtual power plant, and designs a virtual power plant double-layer optimization dispatching model. The lower-layer model constructs a user load prediction model of an improved Transform, and then a renewable energy output model is established by using a scene generation method; the upper layer model takes the power generation cost minimization of the wind-light storage and combustion virtual power plant as a target, considers constraint conditions such as gas turbine output power, ramp rate, energy storage charging and discharging power, electricity storage quantity and power balance, and proposes a single guide target function comparison algorithm considering random source load to carry out optimization solution on a virtual power plant optimization scheduling target function; and planning and deciding the output of each energy source in the next 24 hours. Experiments show that the new energy consumption level can be remarkably improved under the random source load condition, and better economic benefits are obtained while stable operation of a power distribution system is promoted.

An intraosseous system and methods for accessing a medullary cavity. The intraosseous system can include an access assembly and an advancement assembly. The access assembly can include an obturator assembly coupled to a needle assembly. The advancement assembly can include a housing having an inner wall and a drive screw coupled to an energy source. The drive screw can include a threaded portion extending from a drive screw head. The threaded portion can extend into the housing. The advancement assembly can further include an advancement nut threadably engaged with the threaded portion of the drive screw. The advancement nut can include an outer surface configured to slide along the inner wall a predetermined distance without rotating. The advancement assembly can further include a socket configured for attachment to the access assembly.

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

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 an old community photovoltaic building integrated reconstruction design method, and particularly relates to the technical field of building reconstruction design, and the method comprises the following steps: firstly, obtaining the three-dimensional structure data of a building through scanning equipment, and determining a suitable photovoltaic installation region based on a preset reconstruction region grade; calculating the bearing capacity of the photovoltaic module according to the transformation area, determining the total weight of the bearable photovoltaic module, and designing the initial distribution of the module; an inclination angle and an azimuth angle of a photovoltaic module are optimized through sunlight analysis, after installation is completed, an inverter is used for converting direct current into alternating current, the alternating current is connected to an intelligent power grid system, finally operation data are collected regularly, and a neural network is used for predicting faults and evaluating a health state. According to the invention, a feasible scheme is provided for large-scale popularization of renewable energy sources, the installation of the photovoltaic system can make full use of the idle space of old buildings, the utilization efficiency of solar energy resources is improved, the dependence on traditional energy sources is reduced, and the energy consumption of old communities is reduced.

The invention discloses a complex microbial inoculant for coupling straw decomposition and soil carbon sequestration and a preparation method thereof, the complex microbial inoculant can rapidly promote degradation of lignocellulose of straw in soil by compounding bacillus subtilis, bacillus licheniformis, pseudomonas aeruginosa and the like, provides a basic material energy source for activity of soil microorganisms, and has the advantages of simple preparation process and low cost. Meanwhile, corresponding microorganisms achieve long-term storage of organic carbon through humus stabilization and mineral substance combined carbon (MAOC) stabilization, the storage efficiency of the organic carbon is remarkably improved through nano Fe3O4, and under the synergistic effect of all strains in the complex microbial inoculant, the carbon loss of straw returning can be effectively reduced, the carbon immobilization capacity of soil is improved, and the soil quality is improved. The organic carbon content in the soil is increased.

The invention discloses a distributed energy dynamic load adjusting method and system based on a virtual power plant, and relates to the technical field, and the method comprises the following steps: obtaining first data of the virtual power plant, and building a topological structure of the virtual power plant; constructing a distributed energy output prediction model based on an LSTM deep learning algorithm; combining the output of the distributed energy output prediction model and the topological structure to generate an energy scheduling scheme in real time; monitoring real-time data of the distributed energy, comparing the real-time data with the energy scheduling scheme, and performing feedback updating; according to the invention, a virtual power plant topological structure is constructed, a prediction model is constructed based on an LSTM algorithm, an energy scheduling scheme is generated in combination with model output and the topological structure, and a feedback updating technology is carried out. The problems that existing regulation and control based on a static model cannot adapt to dynamic changes of energy production and load requirements in real time, and due to the fact that an effective cooperation mechanism is lacked between distributed energy sources, energy waste is caused, and the regulation efficiency is low are solved.

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.