189 results about "System capacity" patented technology

The invention discloses a power coupling-considered capacity ratio estimation method for a network-constructing / network-following multi-machine hybrid system, and the method comprises the steps: building a GFL-GFM hybrid system model, combining VSG power coupling small signal modeling and a dynamic relative gain matrix (DRGA), and quantifying the coupling strength of active / reactive power to output voltage; the frequency domain impedance characteristic of the GFM converter is simplified, and an ideal voltage source series equivalent reactance equivalent model is constructed; deriving an analytical relationship between a generalized short-circuit ratio (gSCR) and a capacity ratio based on the model, and generating a ratio formula in combination with engineering boundary sub-scenes to form a ratio range suitable for multiple scenes; for coupling time-varying characteristics, a closed-loop mechanism of'mixed mode-coupling sensing-correction calculation-execution feedback 'is constructed, and the ratio is dynamically adjusted. According to the method, coupling quantization and multi-machine coordination control are deeply fused, the problem that the external characteristic model precision and the multi-working-condition adaptability are difficult to consider under complex environment coupling is effectively solved, and the engineering applicability of the hybrid fan system is enhanced.

The invention relates to the technical field of power system automation, in particular to a climbing-frequency modulation coordinated optimization method and system considering energy storage capacity uncertainty, and the method comprises the steps: building an opportunity constraint model of an energy storage system based on the capacity uncertainty, and enabling the opportunity constraint model to be used for describing a reliable feasible region under the deviation of energy storage electric quantity; establishing an energy storage system linearization model considering a climbing-frequency modulation power unified constraint, and realizing power coupling and sharing constraint description of two types of adjustment services; aiming at the nonlinear characteristic of the gradeability of the thermal power generating unit, establishing a piecewise linearization model of the gradeability by adopting a piecewise linearization method; and establishing a thermal power-energy storage combined climbing-frequency modulation coordinated optimization model, and solving the optimization model by adopting a quadratic programming method to obtain the climbing power and frequency modulation reserve capacity of the thermal power generating unit and energy storage. According to the method, the actual available range of the energy storage system capacity can be dynamically reflected, the electric quantity out-of-limit risk caused by the uncertainty of the energy storage capacity is avoided, and the reliability of the scheduling result is improved.

The invention relates to the technical field of e-commerce, and discloses an e-commerce customer service processing system with intelligent quality inspection and high-concurrency simulation capabilities. According to the invention, millisecond index calculation and real-time alarm of full customer service dialogues are realized through a bypass monitoring technology, a traditional lagging mode of post sampling inspection is changed, and management response is converted from passive remedy to active intervention; a high-concurrency pressure simulation module reproduces a business scene in an e-commerce peak period by simulating a script of a real user behavior and a distributed cluster, and a real basis is provided for system capacity planning and stability guarantee; the integrated intelligent verbal skill evaluation module deeply analyzes the dialogue quality from multiple dimensions such as semantics, compliance and emotional change based on a natural language processing technology, and generates an evaluation report with guidance, so that the professional level of customer service is improved; and the service quality, the operation robustness and the management intelligence level of the e-commerce customer service system are improved.

Provided are a communication method and a communication apparatus, which can be applied to a non-terrestrial network (NTN) or a terrestrial network (TN). The communication method comprises: a communication device receiving first indication information, wherein the first indication information is used for indicating index value information of an OCC sequence; and on the basis of OCC-related configuration information and the first indication information, determining an OCC sequence corresponding to each resource group in transmission resources. In this way, by means of introducing an OCC multiplexing technique, the system capacity efficiency of a network (an NTN or a TN) is improved, and interference between different users can be reduced. Moreover, for the case where time-frequency resources of paired UEs are not aligned, a solution is further provided, such that OCC sequences of overlapping resources between the paired UEs remain orthogonal.

The invention discloses a capacity configuration optimization method for an energy storage system, relates to the field of energy storage planning, solves the problem of energy waste of the energy storage system, and comprises the following steps: collecting historical environmental data of a region where a power generation facility corresponding to the energy storage system is located and historical power consumption of a power grid corresponding to the energy storage system; analyzing the power generation performance of the power generation facility of the energy storage system and the power consumption performance of a power grid corresponding to the energy storage system to obtain a peak value operation time period, an average value operation time period and a valley value operation time period corresponding to the energy storage system; setting a system capacity configuration scheme of the energy storage system corresponding to the peak value operation time period and the valley value operation time period; analyzing the operation state of the energy storage system corresponding to the average operation time period, and setting a system capacity configuration scheme of the energy storage system in the average operation time period; the actual energy storage mode of the energy storage system is adjusted based on the system capacity configuration schemes corresponding to the peak value operation time period, the average value operation time period and the valley value operation time period, and stable operation of the energy storage system is guaranteed by improving the energy utilization rate.

The invention relates to an asymmetric fault ride-through cooperative control method and system for a virtual synchronous generator, and belongs to the technical field of power electronics and new energy power generation. Aiming at the problems of three-phase current asymmetry, overcurrent, transient instability and the like faced by a virtual synchronous generator when a power grid has an asymmetric fault, the method comprises the following steps: firstly, setting a negative sequence current reference to be zero through positive and negative sequence separation control so as to keep output current symmetry, and freezing a reactive power ring; secondly, comprehensively considering current amplitude limiting, voltage supporting capacity and system capacity, and dynamically calculating optimal solutions of positive sequence excitation reference amplitudes under different fault depths; finally, positive and negative sequence power components and excitation dynamic changes are considered, an active reference instruction real-time dynamic adjustment method is provided, and a power angle is controlled to be stabilized at a target value by adjusting a power reference value in real time. The method can effectively improve the transient stability during the fault ride-through period, maximally supports the power grid voltage while ensuring that the current is not out of limit, and improves the system capacity utilization rate.

The invention relates to the technical field of wireless communication, in particular to an emergency LoRa communication method based on multi-band cooperation and dynamic resource modulation. The method comprises the following steps: S1, dynamically acquiring communication environment information, channel quality information and network load information; s2, dynamically analyzing and selecting an initial target spreading factor based on the information; s3, setting a preset factor optimization target by taking the minimum bit error rate as a target, and dynamically adjusting and obtaining a current optimal spreading factor; and S4, based on the current optimal spread spectrum factor, performing dynamic allocation of spectrum resources by adopting a dynamic channel allocation mechanism and a reinforcement learning algorithm of adaptive network load balance, and learning a network state in real time through the reinforcement learning algorithm so as to dynamically select an optimal channel allocation strategy to perform emergency communication. According to the method, communication parameters can be adaptively adjusted, the network efficiency and reliability are remarkably improved, the system capacity, the real-time performance and the robustness in a mobile scene are enhanced, and reliable communication guarantee is provided for rescue in an extreme environment.

The invention provides an electric power auxiliary service-oriented hybrid energy storage frequency modulation system capacity optimization configuration method, which comprises the following steps of: aiming at a hybrid energy storage system, constructing an economic model and a technical performance model of the hybrid energy storage system; establishing a multi-objective optimization function, wherein the multi-objective optimization function comprises an economic performance index and a technical performance index; and based on the multi-objective optimization function and in combination with operation constraint conditions of the hybrid energy storage system, solving through an optimization algorithm to obtain a capacity configuration scheme of a power type energy storage unit and an energy type energy storage unit in the hybrid energy storage system. The universal capacity configuration method can adapt to different frequency modulation scenes and different regional transaction rules, and the economical efficiency of hybrid energy storage participating in frequency modulation is improved.

Embodiments of the present application provide a multi-split air conditioner, a control method, a controller and a storage medium. The method comprises: obtaining indoor temperature and set temperature for each indoor unit in an open state to determine a temperature difference; selecting a first target indoor unit and a second target indoor unit corresponding to a temperature difference of the first target indoor unit from all indoor units; and controlling the opening degree of a throttling device of the first target indoor unit and / or the second target indoor unit, so that the total load demand of all indoor units is greater than a preset load demand. Embodiments of the present application can adjust the state of the throttling device of different indoor units, stagger the peak and valley of the load demand of different indoor units, realize the peak and valley suppression and coordination of the load demand of multiple indoor units, maintain the stability of system capacity and demand, and solve the problems of frequent start-stop of the compressor or large frequency fluctuation range of the compressor in the low load state of the system capacity and demand under the existing control method, resulting in non-energy-saving operation, high compressor failure rate and other problems.

The embodiment of the invention provides a communication method and an application device, which can be applied to the field of satellite communication, such as NTN. The method comprises: a terminal device determining a first interleaving mode of a plurality of time-frequency units, the plurality of time-frequency units corresponding to a first OCC sequence, the plurality of time-frequency units being used for bearing first data expanded by the first OCC sequence; and the terminal device sends second data on the plurality of time frequency units, wherein the second data is data interleaved by the first data in the first interleaving mode. By adopting the embodiment of the invention, the anti-interference performance of the terminal device for sending the information can be improved, the interference of other terminal information on the network side is reduced, and the system performance and the system capacity can be improved.

The present application relates to the technical field of energy storage, and discloses an energy storage system, an operation control method thereof and a computer readable storage medium, wherein a parallel circuit is arranged to form a new energy storage unit and a new energy storage loop, so that in the case of a single cluster energy storage converter module failure, the state switching control of the parallel circuit can be used to realize the quick switching of the fault cluster and the normal cluster, the fault cluster can use the energy storage converter module of the normal cluster to realize the charging and discharging of electric energy, the fault cluster does not need to be shut down for maintenance, the influence of the energy storage converter module failure on the system capacity is effectively reduced, the energy storage system can still stably operate in the fault state, the redundancy and operation stability are improved, and since only the parallel circuit needs to be added to achieve the operation optimization purpose, the structure is simple, the original independent management architecture and AC coupling circuit do not need to be greatly modified, the hardware cost is low, the installation is convenient, and the energy storage system can be widely applied to the upgrading, modification, development and application.

A method for compressing Sounding Reference Signal (SRS) channel information in massive MIMO systems is disclosed. When SRS channel estimation is performed in a Radio Unit (RU), the resulting channel estimates create significant fronthaul bandwidth demands. The method transforms SRS channel estimates from antenna space to domains with superior energy compacting properties, enabling transmission of only a subset of channel values while preserving information quality. The method includes beam space compression using mathematical transforms such as DFT, SVD, or EVD to convert channel estimates to beam space, followed by selection of the most significant beams. Alternative embodiments include tap domain compression using DCT or DFT, and delay-Doppler domain compression. The methods support static beam space compression using predefined beam bases and dynamic compression employing adaptive beam bases. O-RAN C-Plane implementations extend Section Type 6 to support the compression methods. The methods significantly reduce fronthaul bandwidth requirements while maintaining channel estimation accuracy, enabling improved system capacity in massive MIMO deployments.

The invention discloses an aircraft airborne system architecture trade-off evaluation method and system based on ADCP, and belongs to the technical field of airborne system evaluation. The method comprises the following steps: selecting an ADCP four-dimensional index; defining primary / secondary index weights by adopting an analytic hierarchy process, and obtaining a comprehensive weight coefficient through consistency check; realizing index normalization transformation through a linear membership function; performing weighted summation to preliminarily screen an optimal framework; calculating physical parameters such as a system capability value and an efficiency value; and verifying whether the optimal architecture meets the condition that at least one core physical parameter is maximum or not, and if not, adjusting the weight or membership function. According to the method, the problems that existing evaluation indexes are disordered, weights are difficult to determine, physical significance is lacked and subjectivity is high are solved, scientificity, accuracy and engineering applicability of evaluation are improved, and the method is suitable for balancing various aircraft airborne system architectures.

This invention relates to the field of wireless communication network optimization technology, specifically to an antenna layout and relay configuration optimization method based on a channel prediction surrogate model. The method includes: acquiring a digital twin environment model of the area to be optimized; constructing an original sample set by calculating channel parameters between candidate antennas and relay nodes through ray tracing; training and constructing a channel prediction surrogate model using improved sparse Gaussian process regression; and using location parameters as input and output channel quality indicators. A joint decision vector for antenna, relay location, and transmit power is defined, and an optimization objective function for total system capacity and deployment cost is defined. The surrogate model is embedded in Bayesian optimization as a fast evaluator, and the joint decision vector is iteratively sampled and evaluated. After convergence, the optimal layout configuration scheme is output. This method replaces real-time simulation with a dedicated surrogate model, achieving multi-parameter joint optimization and improving the efficiency of channel evaluation and optimization iteration.

The invention discloses a novel power grid new energy bearing capacity assessment method and system based on big data, and relates to the technical field of power grid new energy bearing capacity assessment, and the method comprises the steps: collecting data of a smart electric meter, a meteorological station and a power market, and carrying out the preprocessing of the data to obtain key feature data; performing integrated learning algorithm training on the key feature data by adopting a high-precision prediction model development method so as to establish a load and new energy power generation prediction model, and outputting a prediction result based on the load and new energy power generation prediction model; based on a prediction result, calculating a dynamic bearing factor value by adopting a dynamic bearing factor calculation method in combination with inter-region power transmission limitation, energy storage system capacity and weather forecast precision; analyzing the dynamic bearing factor value and the current power grid operation state by adopting an intelligent decision support method construction method, and generating an operation strategy; an operation strategy is deployed on a technical platform by adopting a system deployment and monitoring method, and key performance indexes are set.

The invention discloses a capacity market clearing and pricing method and device and a medium, which are applied to an electric power system, and the method comprises the steps: obtaining the new energy real-time data of a new energy station in the electric power system, inputting the new energy real-time data into a capacity contribution evaluation network model, and obtaining an equivalent reliable capacity; calculating a traditional unit capacity, an energy storage capacity and a demand side response capacity respectively; and respectively inputting the equivalent reliable capacity, the traditional unit capacity, the energy storage capacity and the demand side response capacity into a clearing model to obtain a bid-winning subject and a clearing price of the corresponding capacity. According to the method, the effective capacity of various resources can be accurately quantified, and a price signal capable of truly reflecting the capacity scarcity degree of the system is formed on the basis, so that the optimal power supply structure investment is effectively guided, and long-term reliable operation of the high-proportion new energy power system is guaranteed.

This application discloses a wavelength division multiplexing (WDM) system, device, WDM communication method, and medium, belonging to the field of wireless communication technology. A multi-wavelength laser is used to generate input light of different wavelengths; a WDM multiplexer is used to combine and modulate the input light to obtain channels with different wavelength intervals; a demultiplexer is used to demultiplex the narrow wavelength interval channels of the WDM multiplexer to increase the number of channels in the system. This application provides a blue-green WDM optical communication system and implementation method based on a demultiplexer, using blue-green light WDM technology to improve system capacity and achieve a high-bandwidth and moderate-attenuation wireless optical communication system. WDM visible light communication is achieved through a multiplexer / demultiplexer with fine wavelength intervals for visible light.

The application discloses a channel distribution scheduling management method and system for IPTV live broadcast service, relates to the technical field of IT and software development, and aims to solve the problem that IPTV live broadcast service application mainly includes different application scenarios such as live broadcast unicast, live broadcast time shift, live broadcast review, and the number of access channels based on different province live broadcast sources is more than 300 channels, and the number of channels is relatively large, so that higher requirements are needed for storage system capacity, read-write IO ability and program saving redundancy security strategy, technical solution points are as follows: S1: intelligent channel distribution management, live broadcast cache flow service nodes realize multi-node channel access distribution management based on an intelligent channel distribution management mechanism, S2: accurate scheduling of terminal service request, accurate scheduling redirection mechanism is combined with different node associated different channel list configuration, and it is guaranteed that terminal request supports hotspot channel service service direct response to any live broadcast cache flow service node. The effect of reducing end-to-end network data transmission and reducing transmission delay is achieved.

A communication method and apparatus, a computer program product, and a readable storage medium, the communication method comprising: acquiring a training sequence sent by N terminal devices, N being a positive integer and N > = 2; determining a reference collision pattern; the reference collision pattern is a constellation diagram corresponding to a collision result on a complex plane, and the collision result is formed by collision of training sequences sent by the N terminal devices. By adopting the scheme, the data in collision can be analyzed, so that the system capacity is improved.

This application provides a sidelink carrier management method and apparatus, and a system. The method includes: A first communication apparatus obtains configuration information of a plurality of sidelink (SL) carriers. The first communication apparatus determines at least one SL carrier from the plurality of SL carriers. The first communication apparatus sends a first message to a second communication apparatus, where the first message includes information about the at least one SL carrier. According to the sidelink carrier management method provided in this application, a transmitting end communication apparatus determines at least one SL carrier for a unicast connection, and indicates the at least one SL carrier to a receiving end communication apparatus, to implement instant and effective management of the SL carrier. This improves SL carrier communication efficiency and a system capacity.

The multi-stage decomposition hybrid energy storage capacity optimization method, device and storage medium provided by the application comprise the following steps: decomposing an obtained power signal into a target high-frequency component and a target low-frequency component; determining the rated power of a hybrid energy storage system based on the target high-frequency component and the target low-frequency component; establishing a hybrid energy storage system capacity optimization configuration model based on the rated power of the hybrid energy storage system; solving the hybrid energy storage system capacity optimization configuration model by using multi-stage decomposition combined with a multi-dimensional improved particle swarm optimization algorithm to obtain a hybrid energy storage system capacity optimization configuration result. Thus, the optimization ability and speed of the particle swarm algorithm are improved, the individual extreme point and the global optimal point of the particle are updated through a mutation factor, the search ability of the particle is further enhanced, and the target function of the annual comprehensive cost is optimized by using the method.

The present disclosure relates to a communication method, apparatus, device and system, a storage medium and a program product, and relates to the technical field of communications, the method comprising: executing at least one of sending a PUSCH to a network device or receiving a PDSCH sent by the network device on at least one port. The at least one port comprises a plurality of ports, the plurality of ports comprise a plurality of port groups, the plurality of port groups comprise a first port group, the first port group comprises at least one port, and the first port group is associated with a first time unit. The PUSCH or the PDSCH sends and / or receives on the first time unit, and the PUSCH or the PDSCH carries the first DMRS; or, the PUSCH or the PDSCH is not transmitted and / or received on the first time unit, and the PUSCH or the PDSCH does not bear the first DMRS. The method and the device are used for expanding ports and increasing the number of the ports, so that the system capacity can be increased under the condition that the overhead of the DMRS is not increased, namely, more user numbers and layers can be spatially multiplexed.

The application provides a system capacity prediction method, device and equipment of an Internet of Things platform and a storage medium. The method comprises the following steps: obtaining running indexes of a plurality of service layers of the Internet of Things platform and the business volumes of the running indexes at different time points in a set time period, the set time being a continuous time period before the current time point; generating a data pair set of the service health degrees and the business volumes at each time point in the set time period according to the running indexes and the business volumes of the running indexes at different time points; training a nonlinear regression prediction model of the business volumes and the health degrees according to the data pair set; and predicting the system capacity of the Internet of Things platform according to the nonlinear regression prediction model of the business volumes and the health degrees. The method improves the accuracy of the system capacity prediction of the Internet of Things platform.

A method includes: generating, by an access point AP, a first frame, where the first frame includes P station information fields, each of the P station information fields corresponds to one resource unit RU allocated to a first station STA, P is a positive integer greater than 1, each station information field further includes end indication information, and the end indication information is used to indicate whether the station information field is the last station information field in the P station information fields. The AP may allocate P RUs to the first STA, and indicate the P RUs to the first STA through the P station information fields in the first frame. Therefore, a resource allocation manner of the AP can be more flexible, a frequency selective gain of an OFDMA system can be effectively improved, and a system capacity can be increased.

The application discloses a kind of combination constraint under system capacity contribution degree evaluation method, equipment and storage medium, method includes: determining the member to be evaluated in system;Obtain multiple ability combinations associated with the member to be evaluated;The ability value of each ability in the ability combination when containing the member to be evaluated is obtained, and is recorded as the first ability value;And the ability value of each ability in the ability combination after eliminating the member to be evaluated, is recorded as the second ability value;According to multiple first ability values, determine the first evaluation value of the ability combination when containing the member to be evaluated, according to multiple second ability values, determine the second evaluation value of the ability combination after eliminating the member to be evaluated;According to first evaluation value and second evaluation value, determine the contribution degree of the member to be evaluated to system capacity.The application considers the mutual influence between ability, from the role actually played by ability, evaluates the contribution degree of the member to be evaluated to system, and its evaluation result is more accurate.

The invention discloses a computer interlocking system capacity evaluation method and system. The method comprises the following steps: acquiring station yard data of an interlocking station; signal equipment models are established for various types of signal equipment, and interlocking system function models are established for various functions of the station interlocking system; establishing an association relationship between the signal equipment model and the interlocking system function model to obtain an interlocking system resource calculation system; the interlocking system resource calculation system calculates the total amount of system resources occupied by operation of the signal equipment of the target station; the total quantity of resources consumed by interlocking system function execution of the target station; and comparing the sum of the total amount of system resources occupied by the operation of the signal equipment and the total amount of resources consumed by the function execution of the interlocking system with the design capacity of the interlocking system to evaluate the scale applicability of the station yard of the target station. The method can accurately evaluate whether the capacity of the computer interlocking system adapts to the scale of a large station yard of a project or not.

The invention provides an unmanned aerial vehicle assisted dynamic network resource allocation method based on successive convex approximation, which comprises the following steps of: providing downlink transmission service for mobile ground users by taking an unmanned aerial vehicle as an air base station, and is suitable for high-dynamic scenes in which user groups move, such as public activities and theme parks. The invention provides an unmanned aerial vehicle track and power distribution joint optimization model for multi-user service quality guarantee and system capacity optimization. Based on the non-convex complexity of the problem, the original problem is decoupled into two sub-problems of power distribution and path planning by adopting a block coordinate descent framework, and efficient solving is performed by respectively utilizing a convex optimization technology and a successive convex approximation method. Simulation results show that the method can effectively meet the service quality requirements of heterogeneous users in an actual mobile environment, and the frequency efficiency of the system is remarkably improved. According to the method, an efficient resource management solution is provided for unmanned aerial vehicle auxiliary communication in a high-density user scene.

The present application relates to power system power source planning method technical field, especially a kind of multi-region power system power source planning method considering capacity sharing, including the construction load growth driven time sequence uncertainty probability model;Establish the effective capacity refined evaluation model under the random failure of multi-source unit;System capacity distribution analytical transformation based on semi-invariant and series expansion.The present application breaks the limitation of traditional single region independent planning by establishing the capacity sharing mechanism between receiving end and sending end regional power grid.Can dynamically adjust inter-regional power resource allocation according to the degree of capacity scarcity, significantly reduce cost under the premise of guaranteeing reliability.

The application provides a clustering networking method based on wide-beam directional communication and belongs to the technical field of directional wireless communication networking. The method realizes the service reliability transmission of the communication nodes in the network compatible with different channel transmission characteristics through clustering. The distances between the communication nodes in the cluster are relatively short, the channels are continuous and stable, a distributed asynchronous networking mode is adopted, the distances between the communication nodes between clusters are relatively long, the channels are random and burst, and an asynchronous point-to-point communication mode is adopted. In the clustering networking scene based on the wide-beam directional communication, the method fuses the application modes of the two different channel transmission characteristics of the intra-cluster and inter-cluster, designs a unified MAC communication protocol, and improves the coverage, transmission efficiency and system capacity of the wireless communication network in some special application scenes.

The application discloses a kind of OFDM-PON bits and power loading method based on layered modulation, belong to passive optical network field.The application includes: based on the signal-to-noise ratio between each branch optical network unit and optical line terminal in OFDM-PON, each optical network unit is grouped;Low-order quadrature phase modulation modulation format is used as base layer in the optical network unit group with low signal-to-noise ratio, high-order quadrature amplitude phase modulation-16 and quadrature amplitude phase modulation-64 modulation format are used as enhancement layer in the optical network unit group with high signal-to-noise ratio;The trough point of the frequency selective fading of each group optical network unit in OFDM-PON is calculated;According to bit allocation method, power allocation method is carried out for bit allocation and power allocation of base layer and enhancement layer.The application realizes the maximum utilization of flexible OFDM-PON in channel condition by simple and easy-to-implement algorithm, to realize the increase of overall OFDM-PON system capacity, satisfy future optical access network to the full use of channel power abundance.