18results about How to "Avoid power shortage" patented technology

The invention discloses an intelligent centralized control chain distributed multi-energy optimization scheduling device and method, and relates to the technical field of energy management. The method comprises the steps that energy samples are collected, energy characteristic indexes are established, and energy grading is conducted according to the indexes; historical power load data and load influence factor data are collected, and a power load prediction sequence is obtained by using the multi-time scale power load prediction model; collecting power supply and power grid data of the power system, calculating the power supply capability, and obtaining the power supply and demand balance degree according to the power load prediction sequence; and finally, forming a multi-energy optimization scheduling strategy according to the supply and demand balance degree and the energy classification. The device comprises an energy grading module, a load prediction module, a power supply and demand balance degree calculation module, an optimization scheduling module and a real-time monitoring and dynamic adjustment module, and is used for realizing the method. Through grading and optimal scheduling of energy, the energy utilization efficiency is improved, the operation cost is reduced, and the environmental pollution is reduced.

The invention belongs to the technical field of charging pile management, and discloses a charging pile intelligent management method and system. Comprising the following steps: carrying out data acquisition on a target area and charging piles needing to be managed in the target area to obtain corresponding charging pile data and area load data; uploading the data to a pre-constructed scheduling block chain; performing electric pile diagnosis on the corresponding charging pile based on the collected electric pile data to obtain a corresponding fault diagnosis result, judging whether the charging pile has a fault based on the fault diagnosis result, and if not, marking the corresponding charging pile as a healthy electric pile; if the fault exists, fault information is generated and fault early warning is carried out; performing power distribution load management on the corresponding healthy electric piles in combination with the collected regional load data; according to the invention, intelligent management of the charging pile is realized, the operation efficiency and safety of the charging pile are improved, and more efficient power distribution load management is realized in combination with the charging demand of a user.

The invention provides a power load and power grid interactive regulation and control method and system based on a big data technology, and belongs to the field of power load regulation and control. The problem of low power load regulation and control efficiency is solved; the method specifically comprises the following steps: S1, estimating the expected electricity consumption of each municipal district; s2, acquiring local power data, adjusting active power and reactive power of the regional power grid according to the expected power consumption and the local power data, and calculating a to-be-distributed ratio; s3, acquiring power transmission line data, and adjusting the transformation ratio of each transformer on the target line according to the to-be-distributed ratio and the power transmission line data; s4, continuously adjusting the power supply of the target area; according to the method, the power load and the power supply data of the target region are acquired, analyzed and processed, the power allocation of the target region is adjusted, and the power resource allocation is optimized.

The invention belongs to the technical field of data processing, and particularly relates to an energy storage transaction data processing method and model based on an electric power spot market environment, and the method comprises the steps: analyzing the historical energy storage state of an electric power spot market platform to obtain a historical energy storage state feature value, and analyzing the historical transaction state of the electric power spot market platform to obtain a historical energy storage state feature value; obtaining a historical transaction state characteristic value, combining a real-time meteorological state data set, performing comparison to obtain a predicted daily charging frequency of an energy storage battery, a predicted power transmission line power factor and a predicted power grid load capacity, and performing comparison based on a scheduling optimization characteristic value to obtain an electric power spot market platform scheduling optimization scheme; the system comprises an energy storage state characteristic value analysis module, a transaction state characteristic value analysis module, a meteorological state data set acquisition module, a prediction data analysis module and a scheduling optimization scheme comparison module. The method can improve the capability of judging the future power demand and supply condition, helps to balance the power grid load, and enhances the flexibility and stability of the power system.

The present invention discloses a high-efficiency solar street lamp lighting device, and relates to the technical field of solar street lamps, comprising a pad, a pole is arranged on the top of the pad, the bottom end of the pole passes through the pad, and a fixing mechanism is arranged, and an LED lamp is fixedly installed on the outer side of the pole near the top, a main control box is movably installed on the outer side of the pole, and a fixing ring is sleeved and fixedly installed on the outer side of the pole near the top, a fixing frame is fixedly connected to the left side of the fixing ring, and a partition is fixedly connected to the inner cavity of the fixing frame. By arranging photovoltaic panels, wind fan blades and wind turbines, photovoltaic panels can be used to absorb solar energy and convert it into electrical energy to provide electrical energy during daily work, and the wind fan blades and wind turbines cooperate to use wind force to push the wind fan blades to a rotating turntable, and cooperate with the wind turbine to provide electrical energy again, thereby improving the efficiency of the LED lamp and avoiding the problem of insufficient power in extreme weather.

The invention discloses a high-energy-load park electricity consumption prediction method, and the method comprises the steps: obtaining a to-be-predicted time period which comprises a plurality of time points; collecting first data corresponding to the electricity consumption of the high-energy-load park in a historical time sequence, wherein the first data comprises electricity consumption data and a related influence factor sequence; according to the first data and a historical time sequence, performing normalization processing to generate a sample set, and training the sample set to obtain a power consumption prediction model of the high-energy-load park; and inputting the to-be-tested time period into the high-energy-load park electricity consumption prediction model to obtain the high-energy-load park electricity consumption at each time point in the to-be-predicted time period. According to the prediction method provided by the invention, the prediction accuracy is improved, the power utilization safety of the park is ensured, and the situation of power shortage or excess is avoided.

The invention relates to the technical field of solar street lamp control, in particular to a centralized control system of solar street lamps, which is characterized in that first environment data, second solar panel data, third storage battery data and fourth street lamp working data on an expressway are acquired in real time through a data acquisition module; the available electric energy analysis module calculates first available electric energy through the first environment data and the second solar cell panel data, calculates second available electric energy according to the third storage battery data, and finally obtains third available electric energy; the supply-demand difference analysis module generates a first electric energy supply-demand difference matrix by calculating the total available electric energy and the total required electric energy of each region; and the supply and demand balance control module dynamically selects an electric energy scheduling strategy by using a DQN network model, adaptively updates a Q function according to environment feedback, and realizes adaptive distribution of electric energy of each region. Through the system, electric energy supply and demand balance of each region can be effectively realized, and the problem of insufficient power supply of the solar street lamp is effectively avoided.

The utility model discloses a solar street lamp lighting circuit device, and relates to the technical field of solar street lamp lighting circuit devices, in particular to the solar street lamp lighting circuit device, which comprises a main board, a lighting circuit board and a municipal electricity output end, an illuminating lamp panel and a mounting plate are fixedly mounted at the bottom of the main board, an illuminating lamp is fixedly mounted at the bottom of the illuminating lamp panel, a connecting port is formed in the bottom of the main board, a mounting mechanism is arranged at the bottom of the mounting plate, a mounting groove is formed in the bottom of the main board, a rechargeable battery is fixedly mounted in the mounting groove, and a control circuit board is arranged in the main board; a connecting line is arranged between the rechargeable battery and the control circuit board, a municipal line is arranged between the municipal power output end and the rechargeable battery, a power transmission line is arranged between the solar panel and the rechargeable battery, the mainboard is convenient to disassemble and assemble due to the arrangement of the mounting mechanism, and the stability is guaranteed due to bidirectional power supply of the municipal line.

The embodiment of the invention provides a gray-scale printing method and a printing chip, after heating pulses corresponding to pixel points in a row of a gray-scale image are obtained, at least part of the pixel points in the row are alternately heated based on the heating pulses corresponding to the pixel points in the row, so that an instantaneous current demand is dispersed into a plurality of time slices, and the accuracy of the gray-scale image is improved. Therefore, the current demand of each time slice is reduced, the current can be kept within the safety range of the power supply and the circuit, and the problem of insufficient power supply is avoided. And alternate heating can help to uniformly distribute heat, and excessive heat is prevented from being generated at a certain moment, so that the risk of overheating of the printing head is reduced, the service life of the printing head is prolonged, and the printing quality is improved.

The invention relates to the technical field of communication energy storage, and particularly provides a power supply energy storage regulation and control method, device and equipment, a storage medium and a product, and the method comprises the steps: calculating a discharge distribution factor and an energy storage regulation and control factor based on an obtained electric quantity parameter and an energy storage capacity parameter of a power supply energy storage transaction system; obtaining state parameters of the energy storage equipment, and calculating the utilization rate of the energy storage equipment based on the state parameters, the discharge distribution factor and the energy storage regulation factor; and based on the utilization rate of the energy storage equipment and a preset utilization rate threshold value, carrying out charging and discharging regulation and control on the energy storage equipment. By comparing the utilization rate of the energy storage equipment with the utilization rate threshold value, whether the discharge power of the energy storage equipment is surplus or insufficient can be known, and the current power supply and demand condition is analyzed, so that the charging and discharging strategy of the energy storage equipment is regulated and controlled, the power supply and demand fluctuation can be effectively balanced, and the power shortage or excess condition is avoided; impact on the power grid is reduced, and the stability of the power grid is improved.

The present application relates to the technical field of intelligent cockpit energy management and power dispatching control, and discloses a kind of dynamic adjustment method of intelligent cockpit equipment power priority.The power demand, minimum continuous power supply time, category and request state are collected by being numbered to all equipment, and the real needed equipment is screened out according to fixed period, the average power and reference duration are counted, the bidding factor is generated combined with category, relative power and relative duration, the factor is sorted and the assignable power is prefixed and cumulatively distributed, the priority is given and the record table is formed;the recursive delay count is carried out on the equipment with continuous request and not distributed at the end of the period, and the forced threshold is set;the fairness is guaranteed in the next period;the on-off instruction is executed at the same time, and the long-term non-requested equipment is identified and removed;if the conditions are met, it is included again, and the cycle is promoted.

The invention is suitable for the technical field of medical equipment, and provides a power management system and method for ultrasonic equipment, and the system comprises a main control module, a charging selection module, a dynamic balance module, a discharging selection module, and a load. The inputs of the charging selection module and the discharging selection module are respectively connected with an adapter power supply and a battery bus power supply output by the dynamic balancing module, the output of the charging selection module is connected with the input of the dynamic balancing module, and the output of the discharging selection module is connected with a load discharging control module of a load; the dynamic equalization module comprises a plurality of battery packs formed by connecting a plurality of batteries in parallel, a charging equalization module and a discharging equalization module; the charging equalization module comprises charging control units corresponding to the batteries. The discharging equalization module comprises a discharging control unit, a power conversion unit and an equalization unit. According to the invention, the problems that the existing system cannot realize discharge equalization and cannot realize self-equalization when the power supply is connected without an external adapter are solved.

This utility model discloses a USB hub with a controllable USB interface, comprising: an input USB interface, several output USB interfaces, several power supply control chips, a hub expansion circuit, an MCU chip, a USB-to-serial chip, and an external voltage input circuit. The control pins of the power supply control chips are electrically connected to the MCU chip, the VIN pin of the power supply control chip is electrically connected to the voltage output terminal of the external voltage input circuit, and the VOUT pin of the power supply control chip is electrically connected to the VCC pin of the output USB interface. This utility model avoids insufficient power supply to the computer's USB ports by setting up a dedicated external voltage input circuit to supply power to the output USB interfaces. The MCU chip controls the power supply control chips to control the input voltage at the voltage output terminal to the VCC pin of the output USB interface, thereby controlling the VBUS output of the output USB interface.

The invention discloses an AI-controlled energy-saving power supply circuit, and relates to the field of energy-saving power supply, and the AI-controlled energy-saving power supply circuit comprises a commercial power supply module which is used for introducing a commercial power voltage as a second power supply and outputting the commercial power voltage to a voltage stabilization output module; the solar power supply module is used for converting solar energy into electric energy as a first power supply and outputting the electric energy to the voltage stabilization output module; compared with the prior art, the invention has the following beneficial effects: through the arrangement of the commercial power supply module, whether the solar power supply module is driven to work is selected according to the ambient light intensity, so that insufficient power supply of the solar power supply module due to low light intensity is avoided; the solar power supply module detects the magnitude of output voltage during working, and when the output voltage meets requirements, power supply of the mains supply module and the voltage stabilization output module is cut off, so that loss is reduced. The circuit uses solar energy for power supply and reserves commercial power for power supply at the same time, energy-saving power supply is achieved, power supply quality is guaranteed at the same time, and daily use requirements of families are met.

This invention discloses a power supply control system for charging piles based on photovoltaic energy storage, relating to the field of charging pile power supply technology. It solves the technical problem in existing technologies where disordered charging behavior (such as random charging and large fluctuations in charging duration) leads to irregular fluctuations in the load on the power supply network. This invention achieves intelligent, personalized, and efficient operation of charging pile power supply through refined characteristic identification, accurate status monitoring, and dynamic power supply decision-making. In terms of energy utilization, the system significantly improves photovoltaic energy utilization efficiency by accurately matching photovoltaic power supply with charging demand, reducing dependence on grid power and minimizing energy waste. Regarding grid security, by accurately identifying grid damage risks and load interference states, it achieves early warning and response to grid risks, reducing the risk of grid overload operation, extending the service life of power supply equipment, and improving the safety and stability of grid operation.

The invention belongs to the technical field of energy storage systems, and particularly relates to an energy storage system, a control method and an energy storage device. The energy storage system comprises a DC bus; the AC input end of the electric energy management module is connected with an AC charging pile / power grid, and the power transmission end is connected with the DC bus; the first input / output end of the backup power supply is connected with the direct-current bus, and the enabling end is connected with the first auxiliary power transmission end of the electric energy management module through a first switch unit; the input end of the power output module is connected with the direct-current bus, and the output end is connected with an external load; wherein the electric energy management module is in communication connection with the backup power supply and the power output module; by switching the working state of the first switch unit, when the electric quantity of the back-up power supply is higher than a critical value, power is transmitted to the direct current bus through the first input / output end, and when the electric quantity of the back-up power supply is lower than or equal to the critical value, power is supplemented from the direct current bus through the first input / output end.

The invention discloses a reverse network planning method for an urban power distribution network, and belongs to the technical field of power network planning. In order to solve the problem that a complex and changeable power network has certain limitation, the method comprises the steps of data collection, model establishment, data calculation, structure optimization, scheme configuration and equipment debugging, by collecting power demand data, the power demand trend and the change rule in each region can be known, a reverse network model is established, and the power demand trend and the change rule in each region can be known. The network topology structure is optimized, the real operation condition of the power network can be reflected, the future power demand trend can be predicted, making of a more accurate and reliable power supply plan and making of a power equipment configuration scheme are facilitated, planning of the power network can be rapidly and accurately completed, the planning efficiency and accuracy are improved, and the method is suitable for popularization and application. And meanwhile, the method can adapt to a complex and changeable power network environment, can help formulate a more reasonable and economic scheduling scheme, optimizes power supply and distribution, and has relatively high flexibility and expandability.

This application relates to a passive e-ink screen driving circuit and display device. The passive e-ink screen driving circuit supplies power to the source / gate driving circuit and logic circuit of the e-ink screen. The passive e-ink screen driving circuit includes an antenna circuit, an NFC signal power extraction circuit, an energy storage circuit, a transformer circuit, and an NFC communication circuit. The NFC signal power extraction circuit acquires a first electrical energy; the energy storage circuit stores the first electrical energy; the transformer circuit transforms the voltage and supplies power to the source / gate driving circuit; and the NFC communication circuit acquires a second electrical energy and supplies power to the logic circuit. The circuit of this application can provide high-voltage power to the source / gate driving circuit and low-voltage power to the logic circuit. Furthermore, it directly supplies power to the logic circuit using the NFC communication circuit. Simultaneously, the transformer circuit only needs to perform one voltage transformation to meet the high-voltage requirements of the source / gate driving circuit. Compared to traditional driving circuits, this reduces power conversion losses and improves power utilization.