28results about How to "Reduce load fluctuations" patented technology

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 an electric vehicle ordered charging and discharging method and system, and the method comprises the steps: obtaining the number of electric vehicles meeting the requirements in a target range, the number of agents, and the parameter information of the electric vehicles, and building a V2G-based electric vehicle response capability constraint condition according to the parameter information; establishing a response capability value acquisition rule of the electric vehicle under an electric vehicle response capability constraint condition based on V2G, and establishing an electric vehicle charging and discharging strategy double-layer optimization model containing the response capability value of the electric vehicle; and according to an improved multi-population genetic optimization algorithm, solving the electric vehicle charging and discharging strategy double-layer optimization model to obtain the optimal charging power of each time period so as to obtain a final electric vehicle charging and discharging strategy. By optimizing the scheduling strategy, the power grid load fluctuation can be effectively reduced, and the power grid operation stability is improved. Meanwhile, by considering the scheduling willingness and scheduling capability of the electric vehicle user, the user can obtain the maximum income when participating in the V2G plan, so that the participation enthusiasm of the user is improved.

The invention discloses a short-term load prediction method and system based on VMD and BiLSTM, and relates to the technical field of electric power, and the main points of the technical scheme are that the method comprises the steps: carrying out the preprocessing of original power load data, and obtaining initial data; performing optimization processing on parameters in the VMD by using an AWPSO algorithm, and decomposing the initial data through the optimized VMD to obtain a plurality of modal components; and adopting a BiLSTM model to predict each modal component, and adding the predicted values of each modal component to obtain a final predicted value of the original power load data. According to the method, modal decomposition is carried out on an original power load sequence, periodic features and trend features contained in the original power load sequence are mined, finally, short-term power load prediction is realized by utilizing BiLSTM, and prediction results of all modals are fused to reduce load fluctuation and reduce noise interference, so that the load prediction precision and stability are improved.

The invention discloses a scheduling method for source-load-storage collaborative optimization under the consideration of a stepped carbon transaction mechanism, and the method comprises an IESH optimization operation model, wherein the IEHS daily operation cost F comprises the carbon transaction cost FCO2, the distributed power supply operation cost FDG, the power grid electricity purchase cost Fnet, and the gas boiler and gas turbine operation cost FMT and FGB; depreciation costs of a heat storage tank and a storage battery are FHST and FBAT; a flexible load compensation cost FL; the objective function is shown as a formula: minF = FCO2 + FIEHE. According to the scheduling method in the scheme, the operation model is optimized by considering the demand response IEHS under the carbon transaction mechanism.

The invention relates to the technical field of power distribution network dispatching, and particularly discloses a power distribution network comprehensive optimization coordinated dispatching method and system based on mobile energy storage. The method comprises the following steps: firstly obtaining coordination information of mobile energy storage and the power distribution network, then obtaining mobile energy storage performance parameters according to mobile energy storage access information, obtaining a stable operation value of the power distribution network through the coordination information, and judging whether the stable operation value of the power distribution network is greater than a preset threshold, if so, judging that the power distribution network is in a stable state, and if not, judging that the power distribution network is in a stable state. If yes, it is judged that the power distribution network is in a load state, the discharging electric quantity is obtained according to the surplus electric quantity and the discharging power, and the mobile energy storage conducts discharging voltage-stabilizing scheduling on the power distribution network according to the discharging electric quantity; in this way, the fluctuating load curve can be adjusted to be stable through mobile energy storage charging and discharging scheduling, and load fluctuation is reduced, so that the voltage of the power distribution network is kept stable.

The invention discloses a multi-microgrid intelligent power distribution system joint optimization operation method based on energy interaction, and the method comprises the following steps: 1), taking the minimum total operation cost of the power generation cost, the environment cost and the power exchange cost between the power generation cost and a power distribution network as a target, and building a bottom layer multi-microgrid system optimization model; 2) constructing an optimization model of an upper-layer intelligent power distribution system, considering the cost of power purchase of an upper-layer power grid, the cost of controllable distributed power generation, the cost of load demand response compensation and the cost of interaction with a multi-microgrid system, and establishing a model by taking the minimum total operation cost and the minimum payload peak-valley difference of the intelligent power distribution network as targets; 3) converting the upper-layer model and the lower-layer model into a second-order cone programming problem and a mixed integer linear programming problem respectively by using a second-order cone relaxation method and a linearization method to solve the two-order cone programming problem and the mixed integer linear programming problem; according to the invention, the operation cost of the intelligent power distribution system and the multi-microgrid system can be reduced, the load fluctuation condition of the intelligent power distribution system is reduced, and the electric energy quality of the intelligent power distribution system is improved.

The invention discloses an electric vehicle ordered charging and discharging control method based on an improved differential evolution algorithm. The method comprises the following steps: constructing a probability model of an electric vehicle charging behavior through a Monte Carlo method; demand analysis and electric vehicle dispatching feasibility judgment are carried out by acquiring power grid information and charging electric vehicle information; considering the power grid operation safety risk and the user credit rating, and formulating a dynamic electricity price; establishing a charging and discharging control model by taking minimization of the comprehensive cost of the user and the construction cost of the power grid as a target; and an improved differential evolution algorithm is adopted to solve the model to obtain the optimal electricity price and the optimal charging and discharging strategy, so that the operation efficiency and the economical efficiency of the power system are improved. The method effectively overcomes the defects of flexibility and cost of an existing electricity price strategy and the defects of dynamic electricity price making in the aspect of user credit, can effectively cope with power grid load fluctuation, and promotes coordinated development of the electric vehicle and the power grid.

The invention provides a user charging behavior modeling method and system, and the method comprises the steps: obtaining the global charging behavior data of a user, carrying out the analysis of the global charging behavior data of the user through a clustering method, and extracting the global charging behavior preference characteristics of the user; on the basis of global charging behavior preference characteristics, key factors influencing user behavior categories are analyzed by using information gain, a user behavior preference classification model is constructed, and charging behavior preferences of the user in each scene are determined; and obtaining historical charging behavior data of the user, and based on the historical charging behavior data and the key factors, utilizing the trained user charging behavior model to predict the user charging behavior of the target prediction day. By analyzing and modeling the charging behaviors of the user in different scenes, the efficiency of the power system and the charging experience of the user are improved.

The invention discloses a V2G scheduling method and system based on a double-layer optimization model, and the method comprises the steps: obtaining electric vehicle data and power grid load data of a target region, and screening a first electric vehicle set participating in scheduling according to the electric vehicle data; in the first optimization process, performing optimization scheduling on the first electric vehicle set based on the power grid load data and a pre-constructed first scheduling optimization model to obtain a first optimization result; in the second optimization process, secondary optimization scheduling is carried out on the first optimization result according to the electric vehicle data and a pre-constructed second scheduling optimization model, and a second optimization result is obtained; taking the second optimization result as the input of the first optimization process, and iterating the first optimization process and the second optimization process to preset times to obtain a final optimization result; and performing scheduling processing on the first electric vehicle set according to the final optimization result. According to the method provided by the invention, the V2G scheduling efficiency is improved.

The utility model discloses a total moisture testing system which comprises a transfer module, a division module, a drying oven weighing module, a rejected sample recycling module, a sample bottle receiving, sending and storing module and a control assembly, the division module is used for dividing a sample in a sample bottle into a test sample and a prepared sample, loading the test sample into a tray, and loading the prepared sample into a bottle; the oven weighing module is used for temporarily storing a sample tray and drying and weighing the sample tray filled with a test sample, and the test sample subjected to constant weight treatment is changed into a rejected sample; the discarded sample recovery module is used for recovering discarded samples and cleaning sample plates; the sample bottle receiving, sending and storing module is used for receiving, sending and storing sample bottles filled with original samples and prepared samples; the transfer module is used for transferring the sample bottles and the sample trays among the stations; the control assembly is used for controlling all the modules to work. The total moisture testing system disclosed by the utility model has the advantages of high automation degree, high testing efficiency, convenience in sample preparation and high testing accuracy.

The invention discloses a series of three-dimensional flow curved centrifugal impellers for high specific speed and high efficiency blowers. The centrifugal impellers in the series include 6 to 10 blade groups, the ratio of the length of the splitter blade rim curve to the main blade rim curve is 0.59 to 0.77, the ratio of the length of the splitter blade hub curve to the main blade hub curve is 0.63 to 0.83, the main blade wrap angle is 57° to 90°, the inlet installation angle is 25° to 42°, the main blade and the splitter blade outlet installation angle is 25° to 37°, the outlet forward inclination angle is 8° to 40°, the outlet blade width and the maximum outer diameter of the impeller ratio is 0.06 to 0.08, compared with the traditional impeller, the aerodynamic performance of the impeller is greatly improved, the design point adiabatic efficiency can reach 94%, and the high efficiency variable load width, small load fluctuation, the rotor operation is safer and more stable, and the matching problem of large flow and small pressure ratio centrifugal impeller and air bearing when designing is solved.

The invention discloses a community electric vehicle ordered charging method and system based on an intelligent alternating current charging pile, and belongs to the technical field of electric vehicle ordered charging. Receiving a charging demand of a community electric vehicle user, and feeding back a charging condition to the user; formulating an ordered charging strategy based on the load condition of the power distribution network and the charging demand of the community electric vehicle user; and the battery state of the community electric vehicle is monitored in real time, whether the battery state is in a set range or not is judged, if yes, whether waiting community electric vehicles exist or not is monitored in real time, if yes, a charging strategy is returned to be formulated, and if not, an ordered charging strategy is executed. Guiding is carried out through an intelligent charging technology mode, the peak-valley difference is reduced, load fluctuation is reduced, in addition, the service life of a battery is prolonged through the real-time monitoring function of the intelligent alternating current charging pile, and the over-charging and over-discharging phenomena are prevented.

The invention discloses an electric vehicle charging and discharging optimization scheduling method, and belongs to the technical field of electric vehicle energy scheduling, and the method comprises the steps: determining the charging and discharging demands of an electric vehicle, and obtaining the carbon transaction income of the electric vehicle according to the carbon emission of the whole life cycle of the electric vehicle; adjusting the electricity price according to the charging and discharging requirements to obtain the charging and discharging cost of the electric vehicle, obtaining the load fluctuation of the power distribution network by analyzing the charging load of the power distribution network when the electric vehicle is charged, and obtaining the optimal scheduling strategy of charging and discharging of the electric vehicle by taking the comprehensive minimum of the load fluctuation of the power distribution network and the charging and discharging cost of the electric vehicle as the target. The carbon emission of the whole life cycle of the electric vehicle is considered, and the charging and discharging scheduling analysis of the electric vehicle is more perfect, so that the operation stability of the power distribution network is improved, and the charging and discharging cost of the electric vehicle is reduced.

This invention relates to the technical field of steam turbine control, and particularly to a monitoring and energy regulation method for a steam turbine speed control system based on hydraulic servo state quantity fusion. The method includes: segmenting the system based on the sequential relationship between the hydraulic actuator pressure state and the valve displacement state to form a hysteresis loop segment index, facilitating the location of hysteresis; generating hydraulic hysteresis state tags by comparing the hysteresis loop segment index with a reference hysteresis loop index to distinguish abnormal types such as start-up hysteresis, servo jamming, position leakage, and return friction; further generating energy regulation quantities by combining the power response position after valve displacement, allowing the hysteresis identification results to be directly converted into opening limit, valve position holding, or load correction; and finally, adjusting the valve opening command or unit load command by the steam turbine speed controller to reduce load fluctuations and valve over-adjustment caused by hydraulic hysteresis, thereby improving speed regulation stability.

The present invention belongs to the technical field of electric power system, and specifically relates to a method for comprehensive consumption and dispatching of new energy based on source-grid-load-storage coordination, comprising the following steps: obtaining grid operation data at the current moment; predicting the grid load power at the next moment based on the obtained operation data; judging the grid power imbalance for the obtained grid load power; when there is grid power imbalance, judging whether the energy storage system meets the grid power difference on the premise of ensuring that wind power and photovoltaic power are both in the maximum output state, and if so, adjusting the charging and discharging power of the energy storage system; otherwise, calculating the grid power secondary difference on the basis of adjusting the charging and discharging power of the energy storage system, satisfying the grid power secondary difference through load adjustment of controllable power users, and realizing comprehensive consumption and dispatching of new energy.

The present application relates to a reversible solid oxide battery energy storage system, SOFC is H-SOFC with NH3 as energy storage medium to define power generation mode, SOEC is H-SOEC with NH3 as energy storage medium to define electrolysis mode; Power generation and electrolysis are coupled with a molten salt heat storage device to realize the heat neutrality of the system, and a self-circulating gas closed loop system supplies NH3 to H-SOFC and supplies H2 and N2 to H-SOEC through the recycling of hydrogen ammonia conversion. According to the reversible solid oxide battery energy storage method of the present application, in the power consumption peak, the power generation mode is enabled through H-SOFC; in the power consumption valley, the electrolysis mode is enabled through H-SOEC. According to the reversible solid oxide battery energy storage system and method of the present application, the decomposition and synthesis of NH3 are interrelated and converted with the change of chemical energy and electrical energy, and the effective storage of electrical energy is realized; at the same time, the heat storage device of molten salt is used to realize the storage of heat energy and achieve heat neutrality.

The invention discloses a series of three-dimensional flow curved surface centrifugal impellers for medium specific speed high-efficiency blowers. The centrifugal impellers in the series include 6 to 10 blade groups, the ratio of the length of the splitter blade rim curve to the length of the main blade rim curve is 0.61 to 0.87, the ratio of the length of the splitter blade hub curve to the length of the main blade hub curve is 0.62 to 0.86, the main blade wrap angle is 66° to 100°, the inlet installation angle is 27° to 47°, the main blade and the splitter blade outlet installation angle is 33° to 51°, the outlet forward inclination angle is ‑7° to 27°, the outlet blade width and the maximum outer diameter ratio of the impeller is 0.058 to 0.087, the impeller has high aerodynamic efficiency, low load fluctuation, wide variable load range, the design point adiabatic efficiency can reach 95.3%, the rotor runs safely and stably, and the gas bearing damage or the occurrence of whole machine accidents caused by excessive load fluctuation when the traditional medium specific speed blade type is used is avoided.

The invention discloses a high-capacity industrial load safety quantification and peak regulation method based on an energy supply safety index, and belongs to the technical field of electrical engineering. The method comprises the following steps: firstly, selecting and determining an industrial load interruption priority, formulating an industrial load energy supply safety rating by applying the priority, and determining an industrial load interruption priority system; then, on the basis of industrial load energy supply safety rating, industrial load safety indexes are designed, an industrial load peak regulation strategy is constructed, evaluation of industrial load energy supply safety is achieved, and clear guidance is provided for safety management of industrial load energy supply; and finally, the improved parrot optimization algorithm is applied to industrial load peak regulation, and the algorithm can find an optimal peak regulation scheme in a short time so as to realize optimization of industrial load safety indexes. According to the method, power resource distribution is optimized, key production links are guaranteed preferentially when power supply is insufficient, and the stability and safety of whole industrial production are maintained.

The utility model discloses a hot water type coating waste gas waste heat recycling device and environmental protection heating system, including waste gas intake pipe, waste gas outlet pipe, heat pump unit, heat preservation water tank, first circulating water pump, second circulating water pump and phase change heat storage tank, and heat pump unit includes waste heat heat exchanger, the upper end of heat preservation water tank is equipped with water inlet pipe and heating pipe, and the lower end of heat preservation water tank is equipped with first water outlet pipe, second water outlet pipe, first return pipe and second return pipe, heat pump unit, water inlet pipe, heat preservation water tank, first water outlet pipe, first circulating water pump head -tail connection to form first heating cycle system, and second water outlet pipe, second circulating water pump, phase change heat storage tank, second return pipe head -tail connection to form phase change heat storage system. The above -mentioned device is coupled through heat pump unit, heat preservation water tank, phase change heat storage tank and other equipment, and the load fluctuation is buffered, and the host computer frequent start is reduced, realizes the high -quality utilization of waste heat, solves the energy waste and environmental pollution problem in traditional craft.

The utility model discloses a flattening device for total moisture test, which comprises a flattening mechanism, the flattening mechanism comprises a mounting seat, an elastic piece and a scraper assembly arranged on the mounting seat, and the elastic piece is arranged on the mounting seat and is used for buffering load generated by contact between the scraper assembly and a sample in a sample plate. The flattening device for the total moisture test has the advantages of being good in stability, high in flattening efficiency and good in flattening effect.

The present invention discloses a high-pressure valve online test method and device, a storage medium, and a steam turbine unit, which relate to the technical field of steam turbine online testing, and the main purpose is to solve the problem of abnormal unit oscillation during the high-pressure valve online test of the steam turbine unit. It mainly includes responding to the high-pressure valve online test start instruction, obtaining a single pressure valve compensation strategy or a multi-pressure valve linkage compensation strategy and a test adjustment rate of at least one target test pressure valve; determining at least one compensation adjustment pressure valve according to the compensation adjustment strategy, controlling the target test pressure valve to perform a first opening adjustment according to the test adjustment rate, and controlling the compensation adjustment pressure valve to perform a second opening adjustment, and the adjustment directions of the first opening adjustment and the second opening adjustment are opposite; obtaining the measured opening value of the target test pressure valve opening adjustment process, and determining the test result of the target test pressure valve according to the measured opening value and the test adjustment rate. It is mainly used for the online test of the high-pressure valve of the steam turbine.

This utility model provides a centrifuge bearing housing connection structure, specifically relating to the field of centrifuge technology, to solve the technical problem that bolts are prone to fatigue fracture under long-term alternating loads, which may lead to serious safety accidents such as drum imbalance and equipment disintegration. The device includes a bearing housing body, with stepped sealing pressure flanges for sealing and positioning at both the connecting end of the bearing housing body and the connecting end of the equipment housing. A reinforcing structure is provided on the outer side of each stepped sealing pressure flange. An elastic buffer layer for vibration damping is provided between the stepped sealing pressure flanges. Anti-loosening guide bushings are embedded in the bolt holes of the stepped sealing pressure flanges. The stepped sealing pressure flanges, elastic buffer layer, and anti-loosening guide bushings are connected by bolts. This device can effectively disperse stress, improve sealing reliability, dampen vibration, and has an anti-loosening function.

The invention discloses an electric vehicle cluster aggregation load prediction method and system for a power distribution network. The method comprises the following steps: calculating the total number of vehicles in a charging station after charging of k parts of vehicles in the current time period is completed and the vehicles leave; calculating the SOC mean value and the standard deviation of the remaining vehicles after the charging of the k parts of vehicles in the current time period is completed and the vehicles leave; calculating the total number of vehicles after the k parts of vehicles arrive at the current time period; calculating a mean value and a variance of the combined SOC distribution of the vehicles after the k parts of the vehicles arrive at the current time period; and calculating the charging rate of each vehicle, performing maximum likelihood estimation to aggregate the vehicle load to obtain the vehicle aggregate load, and updating the SOC mean value and variance of the vehicles in the charging station after charging is completed. The invention aims to realize accurate electric vehicle charge state prediction for the power distribution network, so as to dispatch the electric vehicle for orderly charging to reduce the load fluctuation of the power distribution network and keep the voltage stable.

The invention discloses a series of three-dimensional flow curved centrifugal impellers for low specific speed and high efficiency blowers. The centrifugal impellers in the series include 6 to 10 blade groups, the ratio of the length of the splitter blade rim curve to the main blade rim curve is 0.57 to 0.81, the ratio of the length of the splitter blade hub curve to the main blade hub curve is 0.61 to 0.86, the main blade wrap angle is 46° to 85°, the inlet installation angle is 30° to 45°, the main blade and the splitter blade outlet installation angle is 39° to 55°, the outlet forward inclination angle is ‑12° to 31°, the ratio of the outlet blade width to the maximum outer diameter of the impeller is 0.033 to 0.057, and compared with traditional impellers, the aerodynamic performance of the impeller is greatly improved, the design point adiabatic efficiency can reach 93%, the variable load range is wide, the load fluctuation is small, the rotor runs more safely and stably, and the matching problem of the small flow and large pressure ratio centrifugal impeller and the air bearing when designing is solved.

The embodiment of the invention provides a wind turbine generator hub Myz load control method and system, and belongs to the technical field of wind power. The method comprises the steps of periodically monitoring wind speed information of a hub operation interface, and triggering a Myz load suppression scheme when the wind speed information is greater than a preset wind speed; on the basis of the Myz load suppression scheme, the azimuth angle of a wind wheel of the current wind turbine generator is monitored in real time; determining the occurrence azimuth angle of the Myz load extreme value of each hub of the current wind turbine generator; and when the azimuth angle of the wind wheel of the current wind turbine generator is close to the azimuth angle generated by the Myz load extreme value of each hub of the current wind turbine generator and reaches a preset approaching amount, executing one-time variable pitch angle increasing adjustment. According to the scheme, complex load conditions under high wind speed and turbulence conditions can be effectively handled, the service life of the unit is prolonged, and the overall operation efficiency is improved.

The invention discloses a stably-loaded ball disc pair-grinding pairing pair structure and a test method, the ball disc pair-grinding pairing pair structure is provided with a leveling platform on a rotating platform in a transposition component, and the leveling of a friction disc can be realized through the leveling platform; end face jumping caused by coaxiality errors in the machining and mounting processes of the friction disc and the main shaft is eliminated to a certain extent, and preconditions are created for stable loading of a ball disc pairing pair; the linear bearing is used in the loading part to ensure that the ball disc pairing pair is not subjected to radial vibration caused by tangential force in the loading process, and the damping spring piece is used for absorbing tiny axial vibration caused by friction, so that load fluctuation at the contact position of the pairing pair can be weakened, and stable loading of the ball disc pairing pair is ensured.

This invention relates to the field of power generation technology, and particularly to a methanol range extender parallel power generation system and control method based on dynamic master-slave coordination. The system includes several methanol range extenders, an energy storage device, a conversion device, a comprehensive management device, a remote load monitoring device, and an environmental monitoring device connected in parallel. The comprehensive management device regulates the methanol range extenders, energy storage device, and conversion device based on data from the methanol range extenders, energy storage device, remote load monitoring device, and environmental monitoring device, realizing coupled power generation between the methanol range extenders and energy storage device. A method based on the above system is also disclosed. Employing the aforementioned methanol range extender parallel power generation system and control method based on dynamic master-slave coordination, the system achieves efficient coordination of multiple methanol range extenders through the coupled operation of multiple methanol range extenders and energy storage device, and adjusts the operation according to the actual operating environment, while avoiding the lifespan degradation caused by long-term high-load operation of a single unit.

The invention discloses a device for preventing a feeding metal plate of a cotton gin from skewing, and relates to the technical field of textile machinery, the device comprises a rolling mill main body of a rectangular frame structure, and the axis of the outer wall of the upper end of the rolling mill main body is rotationally connected with a working roller which is used for directly making contact with a metal material and applying pressure to achieve metal calendering; the outer walls of the two sides of the rolling mill body are in transmission connection with chain wheels used for transmitting power to the working rollers, the bottom end of the rolling mill body is fixedly connected with a rolling mill frame used for supporting the whole rolling mill body structure, and the outer walls of the two sides of the supporting rollers are provided with tail end centering clamping mechanisms. The top ends of the outer walls of the two sides of the working roller are provided with line carving texture mechanisms, the lower ends of the outer walls of the two sides of the rolling machine body are provided with resistance bending resisting mechanisms, a right barrier column and a line alignment pen are matched with each other, a tail end centering clamping mechanism can be accurately aligned to a plate, position deviation in the rolling process is reduced, and the rolling efficiency is improved. And the centering of the plate between the working rollers is ensured.