24results about How to "Improve receptivity" patented technology

The invention discloses a large-scale distributed energy storage collaborative optimization method and system based on a multi-objective particle swarm algorithm. The method comprises the steps of obtaining charge and discharge parameters of a power distribution network containing distributed energy storage batteries, and establishing a first objective function based on the charge and discharge parameters of the power distribution network containing the distributed energy storage batteries, the objective function comprises a power distribution network voltage deviation value and the current-day operation cost; establishing constraint conditions based on the first objective function, wherein the constraint conditions comprise storage battery SOC and power constraint and node power balance constraint; and constructing an improved particle swarm algorithm containing an inertia weight factor and a learning factor, and solving the first objective function according to the improved particle swarm algorithm. The operation efficiency of the power distribution network is improved, the operation cost is reduced, and meanwhile the voltage stability of the power distribution network and reasonable charging and discharging of the energy storage battery are ensured. Through the optimization algorithm, the charging and discharging states of the energy storage battery can be effectively balanced, the service life of the battery is prolonged, and the maintenance cost is reduced.

The invention belongs to the technical field of electric power automation, and particularly relates to a distributed energy acceptance capability improving method and device, equipment and a medium. According to the method, the maximum charging power value, the minimum discharging power value and the maximum discharging power value of each electric vehicle in each dispatching period are solved by taking the minimum charging cost and the minimum total battery loss cost of a single electric vehicle as a target, and the charging and discharging constraints of an electric vehicle cluster are determined; constructing a second target function by taking the minimum total cost of the system as a target, and determining constraint conditions corresponding to the second target function, including charge and discharge constraints of the electric vehicle cluster; and solving the second objective function to obtain the output of the peak regulation unit and the charging and discharging power of the electric vehicle cluster in each scheduling time period. According to the method, the double-layer optimization model and the constraint condition are constructed, the minimum total economic cost is taken as the target, the charging and discharging of the electric vehicle cluster are taken as the scheduling amount to participate in peak regulation of the power grid, and the total cost of the system is reduced while the distributed energy acceptance capability is improved.

The invention relates to the technical field of power systems, and discloses a half-wavelength controllable tuning method under the background of a dual-carbon and novel power system. Comprising the following steps: system evaluation and demand analysis: collecting power grid information and fusing dual carbon and novel power system demands to determine a tuning target and key parameters; designing a half-wavelength tuning strategy, determining tuning parameters by using a particle swarm optimization algorithm, formulating the strategy, and performing simulation optimization; selecting and configuring half-wavelength controllable equipment, evaluating performance indexes, selecting equipment, and reasonably configuring, installing and debugging; system integration and communication network construction: integrating equipment and constructing a reliable communication network to ensure information transmission; tuning implementation and monitoring are carried out, a control system is developed to send instructions, data are collected and analyzed to evaluate performance, and optimization is fed back according to results. According to the invention, the stability and adaptability of the power grid are enhanced, the intelligent development is promoted, the resource configuration and structure are optimized, the safety and sustainable development are guaranteed, and the challenges of dual-carbon and novel power systems can be effectively handled.

The invention provides a virtual synchronous generator inertia damping self-adaptive control method. The method comprises the following steps that 1, parameters are initialized through a VSG control system, and the state of a power grid is collected in real time; 2, according to the evaluation of the state of the power grid, the VSG control system determines whether virtual inertia or a damping coefficient needs to be increased so as to adapt to the dynamic change of the power grid; and step 3, further judging whether parameters need to be adjusted through the VSG control system according to whether the state of the power grid is stable or not. By cooperatively adjusting the rotational inertia and the damping coefficient of the virtual synchronous generator, suppression of the power grid frequency deviation is realized, so that the stability and the dynamic response capability of the system are improved.

The invention discloses a heart valvular disease digital management system, which relates to the technical field of medical data management, and is characterized in that a data acquisition module comprises an automatic acquisition unit and a multi-channel input unit; the storage management module comprises a data storage unit and a data management unit; the monitoring and early warning module comprises a data analysis unit and a health early warning unit; the data visualization module comprises a chart display unit, a dynamic interaction unit and a report generation unit; the health assistant module comprises a personalized management unit, a follow-up visit management unit, a health activity evaluation unit, an intelligent reasoning unit and a family member unit. The system has an early risk perception and hospital-family linkage valvular heart disease full-process digital health management mode, can improve the active health management ability of patients, controls disease risk factors, effectively restrains the risk of cardiovascular diseases, and improves the overall quality and efficiency of medical services.

The invention discloses a method, system, equipment and medium for an expansion generator set to actively support the inertia of a power grid, and belongs to the technical field of compressed air energy storage, and the method comprises the steps: collecting voltage and current signals of the power grid in real time, calculating the frequency value of the power grid from the collected signals, and obtaining the frequency data of the power grid; performing differential calculation on the obtained frequency data to obtain a frequency difference and a frequency change rate; calculating upper and lower limits of power grid rotational inertia and system adjustable rotational inertia resources in real time according to unit operation conditions in a regional power grid; according to the frequency difference and the frequency change rate, system rotational inertia margins under the maximum frequency difference condition and the maximum frequency change rate condition are calculated; and controlling the compressed air energy storage unit to perform active adjustment based on a calculation result. Inertia support is realized, the frequency fluctuation of the power grid can be quickly responded, the frequency stability of the regional power grid is enhanced, the acceptance capability of the regional power grid to renewable energy sources is improved, and safe and reliable operation of the power grid is ensured.

This invention discloses a power-led computer-computer collaborative control strategy method and system. First, a unified computer-computer coupling model is established, standardizing and quantifying the information attributes and energy consumption characteristics of computing tasks. Based on this model, through multi-timescale collaborative optimization, a control strategy is generated to guide the computing load through time-shifting and spatial migration, enabling it to proactively adapt to the grid operating state, achieving peak shaving and valley filling, promoting the consumption of new energy sources, and achieving rapid frequency response. The corresponding system adopts a three-layer collaborative architecture of "center-edge-local," including a central collaborative decision-making platform, regional computing power aggregation agents, and local resource control units, forming a closed-loop control from global optimization decision-making to precise local execution. This invention significantly improves the safety and economy of grid operation while ensuring the quality of computing power services, and provides an innovative technological path for the computing power industry to reduce energy costs and improve its green level.

The invention belongs to the technical field of power system operation optimization, and particularly relates to a new energy maximum access calculation method based on a DLR and an OTS, and the method comprises the steps: constructing a renewable energy access amount maximization model based on a dynamic line limiting current DLR and an optimal line switching OTS; acquiring operation data of the power system and real-time conductor temperature data and current data of the power transmission line; calculating a dynamic maximum allowable current value of the power transmission line; calculating the renewable energy access capacity and the voltage stability margin of the current power system; judging whether the static voltage stability margin meets the threshold requirement at the moment, if not, executing a three-stage method to solve the switched power transmission line meeting the threshold requirement, and if yes, calculating the renewable energy access quantity at the next moment; executing a three-stage method; and outputting the power transmission line switching schemes and the maximum renewable energy access capacity corresponding to each power transmission line switching scheme. According to the invention, the access capacity of renewable energy sources can be improved to the greatest extent.

The invention relates to the technical field of optimization control of a power system, and discloses a distributed power supply layered access optimization method considering output deviation transmission between layers, which comprises the following steps: acquiring operation data of a single-line-layer distributed power supply, and obtaining an initial deviation mode through fluctuation feature recognition; taking the initial deviation mode as input of a wiring unit layer, and predicting regional power unbalance and duration; taking the prediction result as the input of a substation layer, carrying out correlation analysis on the real-time convergence power data, and determining an amplitude amplification coefficient and a duration extension coefficient in the output deviation transmission process; the prediction result is corrected according to the transmission characteristic parameters, and the expected amplitude and the expected duration after the deviation is transmitted to the substation layer are obtained; and comparing the expected amplitude and the expected duration with the adjustment capability threshold of the adjustment resource of each level, and allocating adjustment tasks of different levels. According to the method, the optimal matching of the adjustment resources and the deviation characteristics is realized by quantizing the hierarchical transmission characteristics of the deviation.

The present invention belongs to the technical field of receiving devices, and in particular to a multi-angle receiving device for an underwater visible light communication mobile node. In view of the problem that the current focusing lens and photoelectric detector are fixed, so the effect and range of receiving visible light are limited, the following scheme is proposed, including a box body, the outer wall of one side of the box body is rotatably connected to a sealing cover plate, the inner wall of the box body is fixedly connected to an electric control box, the inner wall of the box body is provided with electrical equipment, the outer wall of one end of the box body is fixedly connected to a motor, and the outer wall of the motor is provided with a motor box. The purpose of rotating and dynamically receiving visible light is finally achieved in the present invention. By setting a movable connection mechanism, the receiving cover can have the ability of multi-angle displacement, so that the receiving cover has a larger dynamic range of activity, and the receiving effect is improved. By setting a lateral adjustment mechanism, the lateral position of the receiving cover can be adjusted, further improving the adjustable ability of the device and further improving the device's visible light receiving effect.

The application discloses a novel energy storage adaptive off-grid power supply fast response control method and belongs to the technical field of energy storage control of distribution networks; circuit breaker two-side voltage, frequency, phase angle and switch action characteristic values are monitored in real time; based on voltage drop and frequency disappearance of the power grid side, combined with the difference in two-stage power grid operation states, the power-off cause is adaptively analyzed and judged; the power-off of the upper-stage power grid and the fault of the current stage are distinguished; only when the upper-stage power grid is powered off, the circuit breaker is controlled to be tripped and an off-grid signal is issued, so that the energy storage device is switched from a constant power source to a constant voltage source to establish a micro-grid independent voltage reference; during off-grid, the micro-grid voltage frequency is maintained to be stable; after the voltage of the power grid side is detected to be restored, the energy storage device is switched from the constant voltage source to the constant power source to restore the grid connection; the application realizes adaptive on-grid and off-grid switching, and improves the power supply continuity and reliability of distribution areas.

The application discloses a mobile charging robot, and relates to the technical field of charging management, and aims to solve the technical problems of the existing mobile charging robot, that is, the overall output capacity of the battery pack is reduced, the charging speed is limited, and there are safety hazards due to the inconsistency of the health state when the mobile charging robot performs high-power fast charging service, and the mobile charging robot comprises a mobile charging robot body and a thermal management system integrated in the mobile charging robot body; the mobile charging robot body comprises a chassis, a driving system arranged on the chassis, a charging control unit for being connected with an electric vehicle, and a control system; the thermal management system comprises a battery pack comprising a plurality of battery units and used for storing electric energy; the application fundamentally solves the problems of the limited output capacity and safety hazards of the mobile charging robot in the fast charging process due to the inconsistency of the battery pack by introducing the differential two-way thermal management based on the health state of the battery unit.

The invention discloses a distributed photovoltaic acceptance capability optimization method and system, relates to the technical field of electric energy dispatching, and remarkably improves the acceptance capability and operation efficiency of a distributed photovoltaic system through refined photovoltaic power management. Through electric power acquisition, time period division, equipment screening and intelligent scheduling technologies, the system can realize full-process optimization of photovoltaic power generation from generation to utilization, and the economic value and utilization rate of renewable energy sources are maximized; by monitoring photovoltaic power generation power in real time and intelligently managing energy storage equipment, the system can store redundant electric energy or merge the redundant electric energy into a power grid when the power generation power is excessive, and flexibly call energy storage or power grid resources when the power generation is insufficient, so that the continuity and stability of power supply are ensured; according to the multi-dimensional and multi-strategy energy management method, the adaptability and reliability of renewable energy sources are remarkably improved.

The present invention discloses an application scheduling method, device and medium based on energy storage network capability assessment, the method is: obtain relevant parameters of all energy storage devices involved in scheduling, calculate various network capability indicators of each energy storage device in the network capability assessment model, and then calculate the active support capability and reactive support capability of each energy storage device; sort all energy storage devices by active support capability and reactive support capability, and set active scheduling operation plan and reactive scheduling operation plan for all energy storage devices accordingly based on the application requirements of the power grid; according to the instructions of the active and reactive scheduling operation plan, complete the active output control and reactive output control of each scheduling energy storage device through the PCS device, and realize the active and reactive support of the power grid. The present invention provides voltage source and frequency support for large power grids, alleviates the stability problems of transient voltage, frequency and other issues of the power system, and improves the application value of energy storage power grids.

The embodiment of the invention provides a new energy base energy storage optimization configuration method and system, and the method comprises the steps: obtaining the actual power generation output power of a new energy base, and calculating the operation scheduling instruction of the new energy base and the deviation load of the actual power generation output power; based on the deviation load, establishing a target function by taking the maximum net present value of the whole life cycle of the energy storage system as a target, constructing an energy storage optimal configuration model, and setting constraint conditions of the energy storage optimal configuration model; and solving the energy storage optimal configuration model by using a non-dominated solution sorting genetic algorithm to obtain the energy storage optimal configuration capacity of the new energy base. According to the method, the large-scale new energy acceptance capability is improved, the new energy base punishment cost is reduced, the operation scheduling workload is simplified, and the utilization level of new energy resources is improved.

This invention provides the application of lecithin in the preparation of drugs for the prevention and / or treatment of infertility, belonging to the field of biomedical preparation technology. Specifically, it relates to the application of lecithin in the preparation of drugs for the prevention and / or treatment of infertility, recurrent miscarriage, and / or uterine decidualization disorders. The lecithin can effectively reduce TNF-α levels in early pregnancy, improve uterine decidualization disorders, and increase endometrial receptivity, thereby increasing pregnancy rates and providing a new approach for the treatment of infertility and recurrent miscarriage.

The invention belongs to the technical field of looped network switch equipment, and particularly relates to primary and secondary fusion complete looped network switch equipment and a control system, and the primary and secondary fusion complete looped network switch equipment comprises a primary equipment fusion module, a secondary intelligent measurement and control module, a distributed collaborative interaction module, a closed-loop control execution module and an environment self-adaption module which are sequentially connected in a closed-loop mode. The primary equipment fusion module adopts environment-friendly dry air insulation and integrated design to collect data; the secondary intelligent measurement and control module realizes local intelligent analysis decision based on edge calculation; the distributed collaborative interaction module performs regional collaborative optimization based on a multi-agent algorithm; the closed-loop control execution module drives to act and feeds back a result; the environment self-adaption module dynamically adjusts the protection state according to the environment parameters; according to the method, the problems that traditional equipment is poor in compatibility and intelligent isolation lacks collaboration are solved, upgrading from single-point intelligence to regional collaboration is achieved by constructing a local sensing-collaborative decision-closed loop execution hierarchical architecture, and the reliability and flexibility of a power grid are improved.

The invention relates to the technical field of automatic control, and discloses an electrical engineering automatic energy-saving control system suitable for a thermal power plant, and the system comprises a prediction module which carries out the prediction of the target electric quantity of the thermal power plant, and obtains a plant-level AGC index prediction value of the thermal power plant at each prediction moment; the detection module is used for detecting a first type of discharge parameters of slag discharged by the boiler of the thermal power plant and a second type of discharge parameters of fine ash; the monitoring module is used for detecting power data of a power generator of a thermal power plant, output data of a steam turbine and combustion state data in a boiler; and the analysis and control module is used for calculating the calculated value of the active power of each thermal power plant generator set when the total standard coal consumption of the whole thermal power plant is minimum, and enabling the active power exceeding the load limit value to bear the boundary load according to the calculated value of the active power. According to the method, the target electric quantity of the thermal power plant is predicted to cope with intermittent energy fluctuation, and the operation stability and safety are improved.

The invention belongs to the technical field of traditional Chinese medicine compositions, and particularly relates to a traditional Chinese medicine composition for treating repeated planting failure and a preparation method and application thereof. The traditional Chinese medicine composition disclosed by the invention has the effects of removing blood stasis, tonifying kidney and warming meridians by promoting blood circulation, removing blood stasis and tonifying kidney; furthermore, the uterus-warming and kidney-tonifying treatment traditional Chinese medicine composition is used for warming meridians and uterus, tonifying kidney and nourishing blood to improve the intimal receptivity; further, the post-transplantation implantation miscarriage prevention treatment traditional Chinese medicine composition is used for achieving the effects of strengthening heart, assisting embryo, nourishing blood, preventing miscarriage and supporting early pregnancy; the three groups of traditional Chinese medicine components are subjected to progressive three-stage treatment to realize systematic intervention from eliminating evil to strengthening the body resistance and then to miscarriage prevention, so that the embryo implantation rate and the clinical pregnancy rate of a patient with repeated implantation failure are improved.

The invention discloses an alternating current ordered charging demand acquisition method and device, a storage medium and a product, relates to the field of ordered charging of new energy vehicles, and realizes accurate balance between charging demands and pile network loads through vehicle pile digital interaction and intelligent analysis. The method specifically comprises the steps that after a charging pile is connected with a vehicle-mounted charger, communication is established through a PWM signal with a specific duty ratio, and static parameters of an electric vehicle, charging pile operation data and user interaction data are synchronously collected; carrying out abnormal value elimination and normalization processing, and constructing a charging behavior feature vector fused with multi-dimensional features; a K-means algorithm is adopted to divide a scene into high, medium and low priorities, and a correction factor is introduced to construct a differentiated charging power and duration model; and finally integrating the demand list, pushing the integrated demand list to a management platform, and dynamically updating according to a fixed period. According to the method, the problems of poor vehicle pile adaptation, one-sided data, insufficient scene adaptation and the like in the prior art are solved, and the communication compatibility and the data accuracy are improved.

The utility model relates to an offshore wind power miniature energy storage device for storing energy through underwater compressed air, and aims to solve the problems that offshore wind power is unstable and electric energy is difficult to store and improve the stability of electric power transmission of an offshore wind power unit. The front end of the device is connected with an air compressor, power is supplied to the air compressor and an air bag in an energy storage device is inflated when the generating capacity of an offshore wind turbine generator is sufficient, an electronic one-way valve of compressed air energy storage equipment is opened when wind energy is weak, the air bag is compressed by water pressure to release compressed air, and potential energy of the compressed air is converted into mechanical energy through an expansion machine; and then the generator is driven to generate electricity and transmit electric energy to a power grid. By adopting the device, the fluctuation of offshore wind power can be effectively stabilized, the grid connection performance of the wind power and the stability of power transmission are improved, powerful technical support is provided for large-scale development and utilization of the offshore wind power, and the device has a wide application prospect.

The invention relates to an offshore wind power stabilization control method assisted by a hybrid energy storage system, and is suitable for the technical field of offshore wind power. The method comprises the following steps: determining a t-moment wind power plant grid-connected power meeting a power volatility limit; determining the energy storage power of the energy storage system at the t moment; determining the running state of the energy storage system at the t moment as absorbing or releasing power; when the energy storage system is in a power absorption state at the t moment, determining energy storage battery distribution power and super capacitor distribution power, and enabling the energy storage battery to be in a charging state; when the energy storage system is in a power release state at the t moment, determining the distribution power of the energy storage battery and the distribution power of the super capacitor, and enabling the energy storage battery to be in a discharge state; and the SOC of the energy storage batteries is updated, and when the difference between the updated SOC and the upper and lower limits of the charge coefficient of the energy storage batteries is smaller than a preset value, the energy storage battery in the charging state is switched to the discharging state, and the other energy storage battery in the discharging state is switched to the charging state.

The present invention discloses a pretreatment system and method for an offshore fixed liquefied natural gas platform, wherein the pretreatment system comprises an onshore raw gas receiving system, an onshore sea gas receiving system, an onshore slug flow capture system, an onshore commodity gas receiving system, an onshore and offshore pipeline system, and an offshore receiving system. The present invention integrates the technical and economic advantages of the offshore fixed natural gas liquefaction processing platform, further considers the problems of multiple gas sources, multiple gas qualities, flow assurance, pipeline landing, and large-scale slug flow capture on land and proposes a mode in which the onshore gas sources are centrally pretreated on land, the offshore gas sources are centrally collected on the platform and then introduced into the onshore pretreatment, and the onshore centralized treatment is then sent back to the offshore for deep treatment according to a dedicated medium line, thereby maximizing the acceptance of different gas sources of the offshore fixed liquefied natural gas processing platform, and fully considering the slug flow capture frequency of the slug flow catcher, the offshore construction cost, and the maximally reducing the landing pipeline density from the land to the platform.

The invention relates to the technical field of insecticide preparation, and discloses a method for preparing a flurana solution, comprising the following steps: S1, pipetting an organic solvent into a clean glass three-necked bottle, then weighing a cosolvent and a stabilizer into the glass three-necked bottle in sequence, heating in an oil bath at 50°C, stirring and dissolving by magnetic force; S2, weighing a flurana raw material drug into the glass three-necked bottle, heating in an oil bath at 50°C, stirring and dissolving by magnetic force; S3, pipetting an organic solvent into a clean glass single-necked bottle, then weighing an antioxidant and a flavor corrector into the glass single-necked bottle in sequence, and dissolving by ultrasonic force. Flurana is well dissolved with the aid of an organic solvent cosolvent, and good solution stability is formed with a stabilizer, an antioxidant and an acidity regulator, thereby increasing the shelf life of the product; a suitable flavor corrector can promote the acceptance of animals and reduce the rejection of medication by medication animals; the invention has simple and safe ingredients, and is widely used.