75 results about "Balance of system" patented technology

Embodiments of the present invention include control methods employed in multiphase distributed energy storage systems that are located behind utility meters typically located at, but not limited to, medium and large commercial and industrial locations. These distributed energy storage systems can operate semi-autonomously, and can be configured to develop energy control solutions for an electric load location based on various data inputs and communicate these energy control solutions to the distributed energy storage systems. In some embodiments, one or more distributed energy storage systems may be used to absorb and/or deliver power to the electric grid in an effort to provide assistance to or correct for power transmission and distribution problems found on the electric grid outside of an electric load location. In some cases, two or more distributed energy storage systems are used to form a controlled and coordinated response to the problems seen on the electric grid.

Systems and methods are provided for generating hydrogen gas using a catalyst or reagent and a boron hydride compound. The preferred hydrogen generation system includes a fuel cartridge and a hydrogen generation system balance of plant (BOP) module. Solid fuel is stored in individual fuel packets in a fuel chamber, and converted into a fuel solution. Fuel is pumped to a reactor where it produces hydrogen and borate. The hydrogen and borate product exit the reactor and are deposited in a hydrogen separation chamber separated from the fuel chamber by a moveable partition. Hydrogen is separated by a membrane and exits the generator. As fuel is consumed, the movable partition is disposed toward the fuel chamber and the borate product is deposited on one side of the movable partition. The controls are preferably contained in the BOP module.

The invention discloses a high-power umbrella-type wind power generation system, which comprises a track rope, a lift force guiding body, an umbrella stair and a generating set, wherein one end of the track rope passes through the umbrella stair to tie the lift force guiding body, and the other end thereof is fastened to a heavy; the lift force guiding body straightens the track rope to form an umbrella track; the lift force guiding body and an umbrella keep distance; the umbrella stair is formed by one or more than one umbrellas; the adjacent umbrellas keep distance; the center of each umbrella is provided with a hole for the track rope to pass through; when the umbrella is expanded, a large upward tensile force can be formed due to the function of a wind force. The umbrella is divided into a bearing umbrella and an acting umbrella according to functions, wherein the bearing umbrella is fastened to the track rope for balancing the system; the acting umbrella makes movement up and down for acting; the acting umbrella is connected with an acting rope; one end of the acting rope is fastened and connected with the acting umbrella, and the other end thereof is connected with the generating set, and thus, the generating set is pulled to make mechanical movement, and thereby, the wind energy is converted into electric energy.

The invention discloses the technical field of electric power system operation and dispatching, and particularly relates to a method for optimizing operation simulation of a multi-energy combined power generation system. Multiple days or a week is selected as a dispatching period, according to a predicted deviation value of intermittent power source output of wind power, photovoltaic energy and the like, a predicted scene of the output of the wind power and the photovoltaic energy is established; the operation position of a hydroelectric generating set with the output capable of being flexibly adjusted in a loading curve can be firstly determined in the multi-energy combined power generation system, the assembly mode of a thermal power generating set is arranged from an initial time frame of the dispatching period, reasonable load distribution is conducted on each type of set with operation cost optimization serving as a local target so that a load regulation abundant zone for the sets operated at each time frame can be formed, and finally the load regulation abundant zone of the sets at each time frame is continuously selected and updated, and therefore combination of the sets in the whole dispatching period is finally achieved and allocation of load between the sets is achieved. The method guarantees balance of system power and stable operation.

The invention discloses a bridge crane control method based on a sliding mode surface, and provides a novel control method based on a sliding mode surface for positioning and anti-swing tasks in a bridge crane conveying process. The method comprises the steps that an original crane model is converted into a line-similar mode through coordination transformation at first; then, the novel sliding mode surface is designed, and a corresponding nonlinear control algorithm is built for keeping the system state always in the sliding mode surface; and finally, the Lyapunov method strictly proves that a system balance point can reach approximate exponent stability as long as parameter selection meets conditions given in the method. Compared with an existing crane control method (which can only ensure asymptotic convergence), the method is higher in convergence speed (approximate to exponential convergence). In addition, control input is smoother compared with general full-state feedback methods and is beneficial to practical application. Stimulation and experiment results prove that the method is high in positioning speed, good in anti-swing effect and quite high in robustness for various kinds of external disturbance.

The invention relates to a method for predicting an electric vehicle battery RUL (Remote Uplink) based on big data machine learning. The method is composed of a corresponding application architecture,a corresponding flow and a corresponding calculation model. The method comprises the following steps: firstly, acquiring battery real-time data in the operation process of an electric vehicle battery; and other operation data of the electric vehicle; performing data consolidation and cleaning, characteristic processing on the data; a model and a training verification algorithm are established through big data machine learning; wherein the modeling mainly uses a nonlinear hybrid algorithm model and a survival model, and the result is evaluated and optimized at different angles, so that a modelfor predicting the RUL of the electric vehicle battery is established, the maintenance and replacement of the battery are optimized, the safety index of a vehicle owner is improved, and the balance of system performance and economic benefits is achieved.

A power balancing system includes a vehicle communication device connected to a data link connector of a vehicle, and a scan tool connected to the vehicle communication device, the scan tool including a handset and a vehicle connector interface (VCI), wherein power can be received from one or more of an external power source being external from the VCI, the vehicle, and an internal power supply of the scan tool, and wherein the system balances the received power.

The invention relates to a micro-grid energy real-time optimization control method. When output power of a fan and output power of a photovoltaic power system are larger than the system power load, charging is carried out on an energy storage unit and an electric automobile, redundant electric energy is sold to a main grid, and the system benefit is increased; the output of storage batteries is continuously increased in the peak-load period to sell electricity to the main grid, the system benefit is increased, and the effect of peak clipping is achieved; in addition, when the generating cost of fuel cells is higher than the electricity purchasing cost, the electricity is purchased from the main grid, and the purpose of filling the peak valley and the purpose of improving operating economy of the system are achieved. The balance of system energy in the power grid is ensured, the economic benefit is increased, energy saving and emission reduction are achieved, and the problems that at present, economy of electricity consumption is poor, and real-time energy of system operation cannot be well balanced are solved.

The invention relates to a method for predicting SOH of an electric vehicle battery based on big data machine learning. The method is composed of a corresponding application architecture, a corresponding flow and a corresponding calculation model. The method comprises the following steps: firstly, acquiring battery real-time data in the operation process of an electric vehicle battery; and other operation data of the electric vehicle; performing data consolidation and cleaning, characteristic processing is carried out on the data; a model and a training verification algorithm are established through big data machine learning; wherein the modeling mainly uses a nonlinear hybrid algorithm model and a survival model, and the result is evaluated and optimized at different angles, so that an SOH prediction model of the electric vehicle battery is established, the maintenance and replacement of the battery are optimized, the safety index of a vehicle owner is improved, and the balance of system performance and economic benefits is achieved.

A fluid cooled photovoltaic module in which a polymer heat exchanger transfers heat from the photovoltaic module to a circulated fluid. The photovoltaic module is maintained at a cool temperature enabling increased power output while the heat transferred to the circulated fluid can be useful for applications that require heat. A polymer heat exchanger is specifically utilized to achieve a robust design that is cost effective; high performance; easily adaptable to various photovoltaic module types and sizes; compatible with conventional photovoltaic module balance of systems; light weight; resistant to water sanitizers and other chemicals; resistant to lime-scale buildup and heat exchanger fouling; corrosion resistant; easily transported, assembled, installed, and maintained; and leverages high production manufacturing methods.

The invention provides an energy optimization scheduling method. The method comprises the following steps: constructing an optimization scheduling model of an energy system from power generation cost,environmental cost, standby cost and demand side response; optimizing the scheduling model to establish a corresponding target function, wherein constraint conditions of the target function comprisea system energy balance constraint, a comprehensive energy output constraint, an energy storage battery constraint, a refrigerator constraint, a demand side load constraint and a transferable load system balance capacity constraint; and optimizing and solving the target function of the energy system according to a dragonfly algorithm, and outputting an optimal solution meeting an iteration termination condition to obtain an optimal scheme of energy system scheduling. According to the invention, the transferable load in the electrical load, the thermal load and the cold load of the demand sidein the comprehensive energy system is fully considered. The objective function is used as an optimization objective, the dragonfly algorithm is used for carrying out multi-objective optimization solution on the objective function, the optimal scheme of energy system scheduling is obtained, and the problems of multi-objective and nonlinear optimization in energy system optimization scheduling are solved.

The present invention discloses a method and device for two-stage solar concentration and a spectrum splitting dish reflector based on dish concentration. A parabolic dish reflector is provided with a central light hole. A CPV panel and a solar-to-heat receiver are positioned at the two sides of the axial line of dish reflector, respectively, under the light hole. A splitting lens is placed at a certain distance from the apex of dish reflector over the light hole. The splitting film is applied to the curved surface of the lens near the parabolic dish, as a spectrum splitting surface. The curved surface of the lens far from the parabolic dish is covered by silver, as a reflecting surface. A supporting structure is provided between the dish reflector and the splitting lens. The whole system with a dual-axis tracking system is placed on the foundation of a support. The present invention can simultaneously realize solar energy concentration and spectrum splitting, to obtain two concentrated spots of different spectrums under the system, which can effectively reduce energy consumption of tracking system and improve system balance and wind resistance. The present invention can adjust the concentration ratio of two beams individually to satisfy the optimal concentrating intensity needed by the CPV panel and the solar-to-heat receiver.

The invention discloses a balance alarm and real-time protective device for an aerial working platform of a crawler travelling vehicle, and the balance alarm and real-time protective device can be widely used to the field of agriculture and forestry picking and road greening. The balance alarm and real-time protective device comprises a crawler travelling system, four hydraulic cylinder telescopic supporting legs, four pressure sensors, an ECU controller, a rack, a gear, a hydraulic motor, an operation platform base, a transverse T-type slip rail, a slide block, a tertiary operation rod, an angle control hydraulic rod, and the aerial working platform. The balance alarm and real-time protective device is simple in structure, is stable in operation and is high in reliability. When staff works on the aerial working platform or when left-right displacement changes are to be carried out, the gravity center of the operation platform shifts while the pressure sensors of the hydraulic cylinders of the four supporting legs acquire a pressure value of each hydraulic supporting leg in real time and input the pressure value into the ECU controller to carry out stable performance analysis; when the gravity center shifts to be close to a system balance safety threshold, the system carries out timely alarm and opens a control valve of the hydraulic motor to drive the gear to rotate to drive the rack to move leftwards or rightwards, so that the crawler travelling system moves in a direction reverse to the gravity center shifting direction, and the gravity center of the operation platform is restored within a safety threshold range, and therefore, the safety of the aerial working platform is guaranteed.

The invention provides a negative stiffness element with automatic balance position adjusting capacity and a negative stiffness property generation method and application, and relates to the field ofground-based simulation of gravity environment. The negative stiffness element with automatic balance position adjusting capacity and the negative stiffness property generation method and applicationare purposed to solve the problem of variation of mechanical property, caused by variable mass load, of a balance position of an existing high static and low dynamic stiffness supporting system; the dynamic stiffness of the new system is reduced on the premise that the original system balance position is not influenced so as to ensure that the stable balance position of the system in static loading process is the same as that of an original system; when dynamic load acts on the system, the system stiffness is the value of difference between the original system stiffness and the negative stiffness element stiffness. The geometric nonlinear property and adjustable geometric parameter property of a mechanism are utilized, the transverse spring stiffness and the effective length of a roller mechanism are properly set to realize the special negative stiffness property; a mechanism housing and a central vertical column are locked and unlocked to realize the negative stiffness property of opening and closing elements in a special condition. Therefore, the problems that the static displacement beyond the limit due to excessively low system stiffness or the mechanical property of a balancepoint of a quasi-zero stiffness system is damaged due to excessively low system stiffness can be avoided.

The invention belongs to the nuclear power plant control technology field and especially relates to an active disturbance rejection control method used for fast reactor power and a coolant outlet temperature. The method comprises the following steps of establishing point reactor dynamic equation according to a neutron characteristic in a reactor, establishing the average temperature equation of afast reactor fuel and a coolant outlet temperature equation according to the law of conservation of macroscopic energy, and establishing the reaction equation of a control rod and a reactor overall reactivity equation; acquiring a fast reactor power and coolant outlet temperature second-order differential equation; designing an active disturbance rejection controller based on linear extended stateobserver; determining an extended state observer bandwidth range, and determining a PD bandwidth range by using deviation and executing mechanism motion speed allowing range; giving a coolant outlettemperature during the balance of a system and the fast reactor power during the balance of the system, carrying out LADRC parameter setting, acquiring a controller bandwidth and an observer bandwidth, determining a reactor power control system and a coolant outlet temperature control system, and completing active disturbance rejection control.

The invention relates to a wind power magnetic suspension yaw system suspension control method based on a model mismatch compensator and belongs to the technical field of electric engineering. According to the method, by means of combination of model prediction control, PID and a model mismatch device, the problem of deviation caused by model mismatch due to linearized processing close to a magnetic suspension yaw system balance point is solved, and suspension at the balance point is controlled stably in real time; a model prediction control strategy is adopted according to a linearized model,a suspension air gap controller is designed, and outer ring suspension air gap control is achieved; output of the suspension air gap controller and output of the model mismatch device are added, a current measurement value of a suspension electromagnet winding is subtracted, a PID controller controls currents of the winding, and inner ring current tracking control is achieved; and suspension airgap deviation and winding current deviation are multiplied by respective adjusting parameters and then added to form the model mismatch device. The method is high in control precision, can effectivelysuppress the influence of external disturbance, and ensure that suspension close to the balance point is fast and stable.

The invention relates to a comprehensive self-consistent energy microgrid configuration method based on hydrogen energy storage and an energy regulation and control method. An intelligent management and control system of a microgrid collects power-heat-cold energy consumption requirements of a microgrid load in real time, collects a real-time pressure intensity value of hydrogen in a hydrogen storage tank in the microgrid, and recognizes the relation between the microgrid and a power grid through an on-grid and off-grid judgment module; in an independent operation state that the micro-grid is merged into a power grid or the micro-grid leaves the power grid, the energy of the micro-grid is regulated and controlled by representing the energy storage capacity by using the real-time pressure value of hydrogen in the hydrogen storage tank, a result is judged based on the real-time pressure value of the hydrogen and a set hydrogen pressure boundary threshold value, whether wind power and photoelectricity in the micro-grid output power or not is combined, the micro-grid load cold and heat supply is jointly used as a constraint condition, and then a corresponding energy management and control strategy is started. On the basis of the wind and light prediction result and the typical daily load curve, instruction deviation caused by wind and light random and load fluctuation is adjusted and stabilized in real time according to the output of each unit in the day, and real-time balance of system energy and power is guaranteed.

The invention discloses a critical clearing time method for power system disturbance based on a frequency synchronization theory of a second-order inhomogeneous Kuramoto model, relates to a critical clearing time method for a power system after disturbance, and aims at solving the problems that an existing method cannot well correspond to a power system model, and an attraction domain degree of a system balance point is not researched in the existing method and cannot be applied to transient stability analysis. The method comprises the following steps: 1 building a second-order inhomogeneous Kuramoto model corresponding to the power system model; 2 modifying parameters of the second-order inhomogeneous Kuramoto model; 3 solving a state variable of the system at the disturbance clearance moment, and solving parameters C (delta0, omega0 and alpha) in a criterion according to the state variable; 4 judging whether the system can be kept in synchronism stability after certain disturbance according to the parameters in a synchronization criterion, and calculating the critical clearing time that the system can be kept unstable after the system is disturbed. The critical clearing time method is applied to the field of electric power system.

The present invention provides an ozone generating system that combines single-use elements or segments with an extended use fixture that is used to activate the single-use elements. One embodiment of the invention consists of a strip of proton exchange membrane (PEM) having the ozone producing catalyst applied directly onto one side of membrane. Optionally, the application of this catalyst may be divided into segments or patches, wherein each segment represents the limited-use portion of the ozone generator. Each segment may be advanced into a fixture that provides the balance of the electrochemical system required for operation of the ozone generator. This balance of system may include additional subsystems, with a power supply, water source, electrical contacts, electronic controllers, sensors and feedback components, being typical examples.

An energy storage system balancing device arranged to perform balance processing of charge states of a plurality of energy storage systems being disconnected from each other and from external loads is provided. Each of the storage systems is divided into a plurality of cells and at least one equalization device, is arranged, in each storage system for balancing the cells within the system. The balancing device is arranged to at least collect information about voltage of at least one cell in each storage system from the equalization device/-s and determine a balancing status of the storage systems on the basis of the collected information. The balancing device is further arranged to determine a target cell voltage in dependency of the balancing status and provide the target voltage to each equalization device to control the balancing of the cells.

The invention discloses a multi-mode coordinated control strategy of a multi-port energy router. The essence of the multi-port energy router is a novel power conversion device based on the topology development of a power electronic transformer, which realizes the transmission and absorption functions of new energy sources such as hydropower and solar energy. The energy router has four connection ports including a hydropower port, a photovoltaic port, an energy storage port and a grid-connected port. The four ports work in a coordinated way. The upper energy management system adopts the multi-mode coordinated control strategy and issues instructions to each port, and each port accepts and executes the instructions to realize the functions of transmitting energy from the hydropower port andphotovoltaic port to the energy router, outputting energy to the power grid by the grid-connected port and maintaining the balance of the system depending on the power difference.