34 results about "Power control algorithm" patented technology

The invention discloses a satellite terminal adaptive power adjusting system. The system comprises an attitude sensor module used for collecting three-dimensional attitude data of a terminal; the antenna pattern database is used for storing theoretical gain values of the panel omnidirectional antenna in different attitudes; the gain prediction engine is used for calculating theoretical gain according to the current attitude data and the directional diagram database; the signal quality detection module is used for collecting the intensity, the signal-to-noise ratio and the bit error rate of the received signal in real time; the power control algorithm module fuses the gain prediction value and the signal quality feedback and is used for generating a dynamic transmitting power instruction; the radio frequency power amplifier is used for executing the power adjusting instruction and outputting an adjusted transmitting signal; the invention further discloses a satellite terminal self-adaptive power adjusting method. According to the invention, the problem of balance between satellite terminal communication stability and power consumption efficiency in a complex environment is solved.

A hydroelectric generating set AGC and primary frequency control adjustment collaborative control method, comprising: introducing a governor primary frequency control action guide vane control deviation YPFC into a monitoring system of a hydroelectric generating set, incorporating the corresponding relationship between active power and guide vane opening under different working heads of the hydroelectric generating set into an AGC power control algorithm, performing AGC to track real-time the working head of the set and performing power-guide vane opening conversion and guide vane opening-power conversion on the basis of the working head of the hydroelectric generating set. The function of hydroelectric generating set AGC and primary frequency control in stabilizing the system load frequency can be fully but not excessively exerted. By means of the method, the function of AGC and primary frequency control in ensuring safe and stable operation of the system can be fully exerted, and faster adjustment of the unit can be achieved, thereby reducing guide vane servomotor fluctuation and active power frequency fluctuation during AGC and primary frequency control, reducing the operational intensity of control machinery of the set and the consumption of governor operating oil pressure, significantly reducing the maintenance costs, and reducing the risk of active power frequency oscillation in the system.

The invention provides a high-precision MPPT limited power control algorithm, system and device and a storage medium, and the high-precision MPPT limited power control algorithm comprises the steps: obtaining a currently needed theoretical maximum power value obtained through system logic calculation in real time, and determining a first target power value of a photovoltaic module according to the currently needed theoretical maximum power value; acquiring a current output first voltage value and a current output first current value of the photovoltaic module in real time, and calculating a current output first power value of the photovoltaic module; the first power value is compared with the first target power value, the first voltage value is adjusted until the first power value reaches the first target power value, the algorithm enables photovoltaic output to accurately match real-time requirements, the problem of bus overvoltage or insufficient power caused by blind tracking of maximum power of traditional MPPT is avoided, and the power utilization rate of the photovoltaic power generation system is improved. And the control precision of the bus voltage and the output power of the photovoltaic module can be improved.

The invention discloses a distributed intelligent monitoring system and method based on optical fiber communication, and particularly relates to the technical field of optical fiber communication. Brillouin optical time domain analysis is combined with an adaptive laser power regulation and control algorithm, the detection optical power is dynamically adjusted according to the nonlinear characteristic of an optical fiber, nondestructive Kalman filtering is combined with a dynamic Bayesian network, real-time state estimation is carried out on collected data, time sequence analysis is carried out based on a UKF predicted value, and the detection optical power is obtained. An improved signal deconvolution algorithm is introduced in a BOTDA demodulation process to effectively separate SBS-induced false signals, and signal processing is adaptively optimized through a dynamic noise weight adjustment model, so that the accuracy of data demodulation is improved, and the accuracy of SBS-induced false signals is improved. Through fusion of optical signal regulation and control, intelligent data processing and an automatic early warning mechanism, the stability, precision and predictive capacity of the optical fiber monitoring system in a complex environment are improved, and the optical fiber monitoring system is suitable for safety monitoring of key infrastructures.

The invention discloses an unmanned aerial vehicle trajectory optimization method for user fair and safe communication and target perception. Particularly, under the condition that position state information of a ground eavesdropping node is uncertain, in order to improve the safety of the considered communication system, the unmanned aerial vehicle carries a multi-antenna array to transmit a sensing signal to sense a ground target user. According to the method, the optimization problem of a single unmanned aerial vehicle under the two-dimensional flight path flight condition and the constraint of ground user scheduling and limited energy consumption is proposed, and the total fair safety rate of ground users is maximized. In consideration of complexity and non-convexity of the proposed problem, a single-agent flight path, transmission beam forming and transmission power control algorithm is designed by using deep reinforcement learning. And meanwhile, reasonable flight path, sending beam forming and sending power control are further carried out on the unmanned aerial vehicle by adopting the DDPG, so that the total fair safety rate of the system is improved to the maximum extent. Due to the fact that the problem is a multivariable coupling non-convex problem and a complex multi-antenna line-of-sight link is considered, a deep reinforcement learning algorithm based on DDPG is provided to solve the optimization problem. The total fair safety rate in the communication system is maximized by jointly optimizing the flight trajectory of the unmanned aerial vehicle, transmitting beamforming and transmitting power control.

The application discloses a single mutual inductor metering switch system, and relates to the field of intelligent power systems.The system comprises a mutual inductor power supply module, a power management module, a main control module and a load module.The mutual inductor power supply module converts the AC energy obtained through induction into DC power.The main control module controls the power management module and the load module to alternately switch between a low-power sleep mode and a high-intensity working mode according to a predetermined time sequence by executing a low-power control strategy.The application can monitor the power and the equipment state in real time by using the power supply of the mutual inductor and a special power control algorithm.The application can not only collect and control local data, but also report the data in real time to realize remote internet-of-things management.Compared with a traditional switch system, the application compresses continuous energy consumption into extremely short pulse consumption, and the equipment completes all complex work in an extremely short time window in a burst mode, and is in an "apparently dead" super-low-power state in the remaining idle time.

The invention relates to a portable optical storage power supply energy management method and device, electronic equipment and a storage medium. The method comprises the following steps: an MPPT (Maximum Power Point Tracking) control step: carrying out energy management control on a maximum power point tracking MPPT control unit of the portable optical storage power supply based on a preset maximum power point tracking MPPT control algorithm; a PCS control step: on the basis of a preset energy storage converter PCS control algorithm, performing charging and power supply allowing instruction control on an energy storage converter PCS control unit of the portable optical storage power supply; and a power control step of performing energy management control on the power supply power of the portable optical storage power supply based on a preset portable optical storage power supply power control algorithm. According to the invention, a special integrated power management chip is avoided, so that the hardware purchasing and debugging cost is effectively reduced; functions are not limited by hardware, various customer requirements can be quickly met, and function iteration is flexible; the number of core devices is reduced, and the risk probability that products cannot work due to core hardware failure is effectively reduced.

This invention discloses a multi-target adaptive jamming system based on an array antenna, belonging to the field of electromagnetic countermeasures and signal processing technology. The system includes an array antenna unit, a multi-channel RF front-end, a signal processing and control unit, and an environmental sensing unit. The array antenna scans the airspace and captures signals from multiple targets; the signal processing and control unit runs various algorithms to estimate the azimuth, frequency, and power parameters of multiple targets; an interference suppression matrix is ​​constructed based on singular value decomposition, generating multiple low-sidelobe focused jamming beams aimed at each target; the environmental sensing unit monitors background noise intensity in real time and dynamically adjusts the transmission power through a noise adaptive power control algorithm. This invention overcomes the shortcomings of traditional jamming techniques, such as energy dispersion, poor environmental adaptability, and unintelligent resource allocation. It can simultaneously achieve efficient and precise jamming of multiple targets, significantly improving the suppression ratio of a single target, and maintaining high jamming efficiency and resource utilization even in high-noise environments.

Techniques for improving energy efficiency of a Radio-Frequency Identification (RFID) reader are described herein. A power control algorithm controlling a power amplifier of the RFID reader adjusts a bias setting of the power amplifier at different time periods during operation of the RFID reader. Particularly, in aspects, the power control algorithm biases the power amplifier at a first bias setting during a first time period when the RFID reader transmits a modulated continuous waveform conveying information to RFID tags in an environment, and biases the power amplifier at a second, different bias setting during a second time period when the RFID reader transmits an unmodulated continuous waveform. By adjusting to the second bias setting, the power control algorithm improves energy / power efficiency of the RFID reader during the second time period, thereby extending the single-charge lifetime of the RFID reader when implemented as a battery powered unit.

The invention discloses a photovoltaic inverter output power control algorithm based on a predictive control algorithm, which belongs to the predictive control algorithm, and comprises the step of establishing a BP neural network model, and the BP neural network model comprises the steps of determining a grid structure, designing an input layer, designing an output layer, designing a hidden layer, transmitting a function and calculating a predictive error. Historical power generation data and meteorological data of a photovoltaic power station are used as experimental samples, the prediction time is set to be 05: 00 to 19: 00 with good light reception in one day, and the prediction interval time is set to be 1 hour. The global power output by the photovoltaic power generation system is predicted and analyzed by using an algorithm based on a back propagation neural network, a network tracking prediction effect on the global output power is realized, and a distribution network transformer is effectively prevented from being burnt out due to overlarge generated power returned by the resident photovoltaic power generation system.

The invention discloses an unmanned aerial vehicle cluster efficient online segmentation learning method and system, and the method comprises the steps that a server unmanned aerial vehicle splits a global model and distributes the global model to a client unmanned aerial vehicle, and the client unmanned aerial vehicle screens samples through a dynamic sample processing module, completes the training calculation through the combination of a local model, and feeds back a result to the server unmanned aerial vehicle. And the server unmanned aerial vehicle aggregates the model and optimizes resource allocation to form a closed-loop process of model splitting, sample screening, distributed training, model aggregation and resource optimization. Segmentation learning and online learning are deeply fused, a two-factor importance evaluation mechanism is adopted to screen high-value samples, and a sub-channel allocation and power control algorithm is combined, so that the unmanned aerial vehicle cluster can capture dynamic samples in real time in an unknown scene, the model detection precision is improved through distributed cooperative training, meanwhile, the training delay is reduced, and the training efficiency is improved. And the characteristics of high maneuverability, limited resources and dynamic environment of the unmanned aerial vehicle cluster are effectively adapted.

The application provides a multi-energy storage converter coordination control method and system. The method comprises the following steps: synchronously collecting power grid parameters of a PCC point through a unified collection module arranged at the PCC point; receiving and processing the power grid parameters to obtain standardized data for a power control algorithm; generating a global regulation instruction based on the standardized data and in combination with acquired power regulation information, wherein the power regulation information at least comprises operating state information of each PCS, and the operating state information of each PCS at least comprises one of an SOC state corresponding to each PCS, a current output power, an adjustable power margin and a health state; and synchronously issuing the global regulation instruction to each PCS through a real-time communication network module, so that each PCS performs power output according to the same instruction source. The method effectively eliminates regulation deviation and internal circulation caused by independent response of multiple PCSs, improves response synchronism and regulation accuracy of the energy storage system to the power grid, and realizes optimal configuration of energy storage resources.

The present invention discloses a microgrid energy supply wave balancing method and system, which relates to the technical field of power grid heat supply balancing technology. The method comprises the following steps: deploying high-precision sensors to monitor the microgrid's energy supply, load demand, load output power, voltage, and frequency in real time; constructing an energy fluctuation depth model based on real-time and historical data, and outputting the energy fluctuation trend within a preset time; setting an adaptive energy regulation controller to automatically adjust the output power and operating status information of each power generation unit based on the prediction results through a power control algorithm; using the adjustment results of the power control algorithm and the current power grid state as input information through an energy balance control strategy to solve the energy balance parameter target and feed it back to the adaptive energy regulation controller; and dynamically adjusting the load distribution based on the final output result of the adaptive energy regulation controller. The present invention solves the problem that traditional heating systems cannot respond in real time, resulting in delayed balance regulation.

The invention provides an optical storage integrated converter system with flexible distribution and storage, and relates to the technical field of optical storage systems. The optical storage integrated converter system comprises a photovoltaic array, a photovoltaic grid-connected inverter directly connected with a photovoltaic array interface, and a direct current coupling energy storage converter connected in series with a direct current bus in the middle of the photovoltaic grid-connected inverter. Wherein the photovoltaic array emits direct current, and a three-port power control algorithm is adopted at a direct current bus to control the flexible distribution and storage light storage integrated converter system to carry out energy conversion. Under the condition that an existing DC / DC and DC / AC two-stage grid-connected framework of a photovoltaic product is not changed, a BUS interface of DC / DC and DC / AC two-stage conversion in a photovoltaic grid-connected inverter is extracted, the stability of a control algorithm can be effectively improved, meanwhile, the structure of an optical storage system is simplified, the overall cost of the system is effectively reduced, the efficiency of the system is improved, and the application range of the system is widened. The system size is reduced and the power density is improved.

The invention relates to an OFDM symbol power control method and device, and relates to the technical field of terminals, and the method comprises the steps: obtaining a first initial power gain corresponding to a first OFDM symbol; obtaining a power related parameter corresponding to a second OFDM symbol, the second OFDM symbol being a previous OFDM symbol adjacent to the first OFDM symbol; obtaining a predicted power parameter corresponding to the first OFDM symbol based on the power related parameter corresponding to the second OFDM symbol; and generating a target power gain corresponding to the first OFDM symbol based on the predicted power parameter and the first initial power gain, and performing power control on the first OFDM symbol based on the target power gain. Through prediction based on adjacent OFDM symbols, dependence on real-time channel state information is reduced, a power control algorithm is simplified, calculation complexity and processing delay are reduced, system performance fluctuation caused by power fluctuation can be reduced through more stable power control, optimization of transmission quality is facilitated, and the transmission efficiency is improved. And the stability and reliability of the system are improved.

The invention discloses a micro-grid energy supply wave balancing method and system, and relates to the technical field of power grid heat supply balancing, and the method comprises the steps: deploying a high-precision sensor, and monitoring the energy supply, load demand, load output power, voltage and frequency of a micro-grid in real time; constructing an energy fluctuation depth model through the real-time data and the historical data, and outputting an energy fluctuation trend within a preset time; a self-adaptive energy adjustment controller is arranged, and the output power and working state information of each power generation unit are automatically adjusted based on a prediction result through a power control algorithm; solving an energy balance parameter target by taking an adjustment result of the power control algorithm and a current power grid state as input information through an energy balance control strategy, and feeding back the energy balance parameter target to a self-adaptive energy adjustment controller; and dynamically adjusting load distribution according to a final output result of the self-adaptive energy adjustment controller. The problem that balance adjustment lags due to the fact that a traditional heat supply system cannot respond in real time is solved.

The application discloses a link bandwidth allocation method and allocation system for multi-mode mobile network multi-link aggregation, comprising: obtaining mobile network base station, device position, real-time environment data; using intelligent power control algorithm, dynamically adjusting transmission power according to environment data and network load; obtaining real-time signal strength data and historical data of network device to base station; predicting minimum transmission point of signal transmission based on real-time and historical data; adjusting antenna direction and position according to base station position, and designing connection using beamforming antenna; setting threshold value according to real-time weather and minimum transmission point data, and deploying signal enhancer; the application discloses a link bandwidth allocation method and allocation system for multi-mode mobile network multi-link aggregation, through intelligent algorithm, real-time monitoring of link quality, dynamic adjustment of network, balancing of network load, and combination of real-time weather data for evaluating signal transmission environment, deploying signal enhancer, and improving signal coverage range.

The invention relates to the technical field of unmanned ship communication, in particular to an efficient wireless forwarding method and system for an unmanned ship cluster rapid ad hoc network, and the method comprises the steps: monitoring a wireless channel state in real time through a self-adaptive channel selection technology, and dynamically selecting an optimal channel; a topology maintenance mechanism combining a rapid networking protocol based on a distributed algorithm with regular and event triggering is adopted, and rapid networking and topology updating of an unmanned ship cluster are achieved; dividing data into a plurality of sub-data streams for parallel transmission by using a multipath parallel transmission technology, and combining and restoring at a receiving end; aiming at a large-scale unmanned ship cluster, designing a node scheduling algorithm based on task priority and resource allocation, and establishing a node state monitoring mechanism; a power control algorithm is adopted, a protocol frame structure and a dormancy mechanism are optimized, and communication energy consumption is reduced. According to the invention, the communication stability is improved, the communication bandwidth is increased, the large-scale node management capability is enhanced, the communication conflict and congestion are avoided, the energy consumption is reduced, and the endurance time of the unmanned ship is prolonged.

The invention relates to a general vehicle energy management control system and control method, electronic equipment and a storage medium. The method comprises the steps that after software of the hybrid power supply system is initialized, a battery energy storage unit BMS and a power conversion system PCS are started, and whether commercial power is connected or not is judged; if commercial power is connected, entering a commercial power battery power supply state and closing a generator control unit GCU, and adjusting the power of a power conversion system PCS based on an adaptive power control algorithm in the commercial power battery power supply state; and if the electric supply is not connected, entering a GCU battery power supply state and starting a generator control unit GCU, and in the GCU battery power supply state, adjusting the power of the generator control unit GCU based on an adaptive power control algorithm. According to the invention, intelligent management of the system state, accurate control of battery charging, dynamic optimization of power distribution and rapid response of equipment faults are realized, so that the reliability, safety and energy utilization efficiency of the system are improved.

A power adjustment method and an electronic device are provided. The method includes: detecting whether first information meets a first preset condition, where the first information includes at least one of the following: a first retransmission rate for uplink data, an actual transmission power for uplink data, or a first maximum transmission rate for uplink data, where the first maximum transmission power is a power threshold for transmitting the uplink data configured by a network device for the electronic device; and in a case that the first information meets the first preset condition, using a preset power control algorithm to adjust the first maximum transmission power to a target transmission power, where the target transmission power is greater than the first maximum transmission power and less than or equal to an inherent maximum transmission power of a radio frequency device of the electronic device.

The application discloses a satellite terminal adaptive power regulation system, comprising: an attitude sensor module for collecting three-dimensional attitude data of the terminal; an antenna directional diagram database for storing theoretical gain values of a flat panel omnidirectional antenna under different attitudes; a gain prediction engine for calculating the theoretical gain according to the current attitude data and the directional diagram database; a signal quality detection module for collecting the strength, signal-to-noise ratio and bit error rate of a received signal in real time; a power control algorithm module for fusing the gain prediction value and signal quality feedback to generate a dynamic transmission power instruction; and a radio frequency power amplifier for executing the power regulation instruction and outputting an adjusted transmission signal; the application further discloses a satellite terminal adaptive power regulation method; and the application solves the balance problem between the communication stability and the power consumption efficiency of the satellite terminal under a complex environment.

A method for uplink and downlink joint dynamic resource allocation for a 6G fully decoupled network. 1) The uplink base station collects channel estimations of the entire network, including pilot signals sent by users and channel estimations made by users based on pilot signals of the downlink base station, and transmits the channel information of the entire network back to the edge center for dynamic resource allocation. 2) According to the channel information between users and uplink / downlink base stations and different sub-channels, assuming that the base station and users adopt the method of equal power sharing, the three-dimensional matching problem of user-base station-sub-channel is modeled as a large-scale many-to-many matching model. 3) According to the matching relationship of user-base station-sub-channel, based on the theory of successive convex approximation, for the uplink coherent transmission of multiple users and the downlink coherent transmission of multiple base stations respectively, an uplink and downlink power control algorithm is adopted. 4) Steps 2 and 3 are both calculated in parallel to obtain the uplink and downlink spectrum division ratio that maximizes the system capacity, and the dynamic resource allocation scheme is sent to the uplink users and downlink base stations for implementation.

The present application relates to the technical field of power line communication, and in particular to a power line communication non-orthogonal multiple access method under multi-service coexistence, wherein first, a relay adopts a beamforming technology based on maximum ratio combination to receive signals of indoor users, and the maximum direction of the beam is aligned with a URLLC user; second, the relay broadcasts a threshold value of an accessible channel, schedules one eMBB user satisfying the threshold value in each time slot, shares spectrum resources with the URLLC user by using a non-orthogonal multiple access technology, and further adjusts its own transmission power by using an adaptive power control algorithm based on threshold value judgment; and finally, the relay transmits the superimposed multiple user signals in the frequency domain to a destination node after decoding. The present application multiplexes eMBB services and URLLC services in the same time-frequency resource, guarantees the low-latency and high-reliability characteristics of the URLLC service, ensures the quality of service requirements of the eMBB user with lower power consumption, and thus completes the communication process under the condition of multi-service coexistence.

Techniques for improving energy efficiency of a Radio-Frequency Identification (RFID) reader are described herein. A power control algorithm controlling a power amplifier of the RFID reader adjusts a bias setting of the power amplifier at different time periods during operation of the RFID reader. Particularly, in aspects, the power control algorithm biases the power amplifier at a first bias setting during a first time period when the RFID reader transmits a modulated continuous waveform conveying information to RFID tags in an environment, and biases the power amplifier at a second, different bias setting during a second time period when the RFID reader transmits an unmodulated continuous waveform. By adjusting to the second bias setting, the power control algorithm improves energy / power efficiency of the RFID reader during the second time period, thereby extending the single-charge lifetime of the RFID reader when implemented as a battery powered unit.

A control system for operating a heater includes a controller configured to determine an operating power level based on measured performance characteristics of the heater, a power setpoint, and a power control algorithm, determine a toasting power level based on measured leakage current at the heater, a leakage current threshold, and a moisture control algorithm, and select a power level to be applied to the heater. The selected power level is the lower of the operating power level and the toasting power level.

The invention discloses a hydraulic generator electric braking method based on uncontrolled rectification and a buck-boost converter and a topological structure. The hydraulic generator electric braking method comprises the steps that 1, unit splitting and initial state confirmation are carried out; 2, judging a rotating speed threshold value and pre-inputting and pre-quitting equipment; step 3, uncontrolled rectification and real-time operation parameter acquisition; 4, calculating reference power; 5, the reference power P obtained through calculation and the monitoring signals udc2 and idc2 are input into a controller, the controller outputs a corresponding control instruction to drive a buck-boost converter according to a variable power control algorithm based on the rotating speed of the water turbine, and the storage battery starts to be charged; meanwhile, the battery management system BMS monitors the voltage, the current and the temperature of the storage battery in real time; if the equipment is abnormal, entering step 6; step 6, carrying out equipment fault switching; step 7, switching a braking mode; while the electromagnetic power output by the water turbine is rapidly tracked, efficient recovery of braking energy is achieved, the loss of a mechanical braking module is reduced, and the operation and maintenance cost is reduced.

The invention belongs to the technical field of aircraft power distribution system simulation and control, and provides a LabVIEW-based aircraft power distribution system reconstruction logic algorithm and visual simulation verification platform, which comprises three core algorithms, namely a generator reconstruction matrix algorithm, a bus bar contactor control algorithm and a load power control algorithm, and a LabVIEW-based visual simulation verification platform. The visual simulation verification platform can display the state of the power distribution system in real time, supports fault injection and system reconstruction demonstration, and provides a parameter configuration interface to adapt to different power distribution systems. According to the method, an event-driven mechanism, a state machine mechanism and a modular programming thought are adopted, system behaviors in different flight stages and fault states are clearly managed, good expandability and reusability are achieved, the power distribution system logic can be verified in the initial stage of design, the design efficiency and quality are improved, and the development cost and risk are reduced.

The invention provides a multi-channel direct-current coupling optical storage converter system, and relates to the technical field of optical storage systems. Under the condition that an existing photovoltaic product DC / DC and DC / AC two-stage grid-connected framework is not changed, a photovoltaic array interface is directly connected with the direct-current coupling energy storage converter, the structure of an optical storage system is simplified, the overall cost of the system is effectively reduced, the efficiency of the system is improved, the size of the system is reduced, and the power density is improved. Meanwhile, a three-port power control algorithm is adopted, a power distribution network is deeply fused to develop a new-generation adaptive multi-channel direct-current coupling optical storage converter system of the power distribution network, three-phase voltage follow-up energy injection and extraction and flexible networking are achieved, photovoltaic power generation is fully guaranteed, optical storage direct-current networking is flexibly achieved, and the power distribution network performance is improved. The problem that distributed photovoltaic power generation and power utilization space-time dislocation of a power grid cannot be fully reflected through value to form sticking points is solved, and a novel differentiated optical storage device capable of deeply fusing power distribution requirements is obtained.

The application provides a multi-channel direct-current coupling light storage converter system and relates to the technical field of light storage systems.The application directly connects a direct-current coupling energy storage converter to a photovoltaic array interface without changing the existing photovoltaic product DC / DC and DC / AC two-stage grid-connected architecture, simplifies the structure of the light storage system, effectively reduces the overall cost of the system, improves the system efficiency, reduces the system volume and improves the power density.Meanwhile, a three-port power control algorithm is adopted to deeply integrate a power distribution network to develop a new generation of multi-channel direct-current coupling light storage converter system with power distribution network adaptability, realize energy injection and extraction with three-phase voltage follow-up and flexible networking, fully guarantee photovoltaic power generation, flexibly realize light storage direct-current networking and solve the problem of the card point formed by the time and space misalignment of distributed photovoltaic power generation and power grid power consumption which cannot be fully reflected through value, so a new differentiated light storage which can deeply integrate power distribution demand is obtained.

The present invention provides a method, apparatus, and non-temporary machine-readable medium for controlling the physical uplink shared channel (PUSCH) transmit power of a UE in order to improve the overall performance of uplink communication in a cellular network. [Solution] The base station 102 executes a power control algorithm over multiple iterations until the signal-to-interference-plus-noise ratio (SINR) falls within an acceptable level from the target SINR. Each iteration obtains the SINR associated with each UE106 in one or more cells, and if it determines that the SINR is above the target SINR, it reduces the transmit power of the UE106; if it determines that the SINR is below the target SINR, it increases the transmit power and updates the power allocation between the UE106s in each cell.