53 results about "Capacity value" patented technology

The present invention provides a PEI occasion determination method performed by user equipment (UE), including: acquiring a capacity value of a paging early indication (PEI) occasion, the capacity value being the number of paging occasions corresponding to one PEI occasion; determining, according to the capacity value, a PEI frame number corresponding to a particular PEI occasion for the UE; and determining the particular PEI occasion from at least one PEI occasion associated with a PEI frame indicated by the PEI frame number, so as to detect PEI information on the particular PEI occasion.

The invention discloses a power grid flexibility resource scheduling method, device and equipment and a storage medium, and the method comprises the steps: determining an error change rate and a power gap value of a system according to an error between prediction data and actual measurement data of the output of a wind and light power station, and further determining a comprehensive imbalance risk assessment value of the system; determining the power compensation amount borne by the hydroelectric generating set according to the power gap value and the upward adjustment capacity of the thermal power generating set, and determining the dynamic response capability of the hydroelectric generating set by combining the available adjustment capacity of the hydroelectric generating set; determining a comprehensive risk index of the system based on the comprehensive imbalance risk assessment value and the dynamic response capability of the hydroelectric generating set; if it is determined that standby resources need to be reconfigured according to the over-limit amplitude of the comprehensive risk index of the system, the output adjustment amount and the scheduling priority sequence of all kinds of resources are determined based on the standby capacity values of the thermal power generating unit, the hydroelectric generating unit and the energy storage device so that power grid scheduling can be conducted. The safe and stable operation capability of the system is improved.

The embodiment of the invention discloses a productivity optimization method and device for a distributed factory, equipment and a medium. The method comprises the following steps: establishing a productivity evaluation model corresponding to the distributed factory; acquiring assembly stations on the assembly line corresponding to the distributed factory and an assembly resource quantity corresponding to each assembly station, and inputting the assembly resource quantities into the productivity evaluation model for simulation to obtain the expected productivity of the assembly line; if the expected capacity is smaller than the preset target capacity, the maximum capacity values corresponding to all the assembly stations on the assembly line are obtained, and a bottleneck station is determined according to the comparison result of all the maximum capacity values; and increasing the assembly resource quantity corresponding to the bottleneck station, and returning to execute the operation of inputting the assembly resource quantity into the productivity evaluation model for simulation until the expected productivity is greater than or equal to the preset target productivity, and configuring the distributed factory according to the assembly resource quantity corresponding to the expected productivity. And the capacity and the production efficiency of the distributed factory can be optimized.

The invention discloses a new energy openable capacity evaluation method, system, equipment and medium considering short-circuit ratio constraint, and belongs to the technical field of new energy openable capacity evaluation, and the method comprises the steps: calculating a new energy multi-station short-circuit ratio based on a ratio of an AC system equivalent short-circuit capacity to a new energy equivalent grid-connected capacity; calculating a new energy multi-station short-circuit ratio after the new station is accessed by considering the influence of adding the new energy station, and constructing a short-circuit ratio constraint by considering a critical short-circuit ratio limit value; considering constraint conditions, constructing a new energy openable capacity evaluation objective function, and forming an openable capacity evaluation model; and constructing a planning problem in combination with the constraint condition and the target function, and performing iterative solution on the planning problem based on a Benders decomposition algorithm to obtain a new energy openable capacity value under the corresponding condition. According to the method, starting from the influence of the access of the new energy station on the short-circuit ratio, the evaluation result of the new energy openable capacity of the power grid can be optimized, and an effective reference is provided for evaluation of the new energy openable capacity.

The invention discloses a massive virtual power plant flexible collaboration method and system fusing mechanism knowledge, and the method comprises the steps: processing global information through Encoder and Decoder, and integrating all Agent data; each virtual power plant Agent inputs local and global integration information, the local information comprises adjustable capacity and cost, and the global information is an adjustment value. The adjustment value calculation is fused with next-day load data predicted by the front Encoder and Decoder, the value of each time period is determined based on a load center value, an adjustment threshold value is set to guide VPP actions, value functions of different time periods are defined, a capacity cost function is constructed in combination with a power market bidding result, a total value function is decomposed to each VPP according to the capacity cost function, the capacity value coefficient and the adjustment value of each VPP are determined, and the capacity value coefficient and the adjustment value of each VPP are calculated. And finally, learning a VPP adjustment strategy by using a full-connection neural network, and training an Agent by taking the minimum total peak-valley difference and total cost of the system as targets to achieve flexible collaboration of the virtual power plant. According to the method, the rewards are distributed and adjusted in real time, and centralized Critic is replaced to solve the calculation problem.

The invention provides a bearing capacity calculation method for distributed power supply access to a power distribution network, which comprises the following steps of: 1) determining a target line, determining a set DG of grid-connected nodes of each distributed power supply in a line partition according to a topological relation of the line, and obtaining a maximum possible capacity value of each accessible distributed power supply, the value is the maximum rated output power of the distributed power supply; 2) electrical calculation is carried out, whether each point in the target line partition meets constraint conditions is checked, if all the constraint conditions are met, the step 6) is carried out, and if not, the step 3) is carried out to find a node with the most serious constraint out-of-limit condition, that is, the absolute value of the constraint index of the node deviates from the constraint conditions most mostly; and calculating the distributed power supply capacity value which has the most serious influence on the out-of-limit index of the node. And in combination with a multi-constraint condition, the real bearing capacity of the power grid is accurately calculated.

The application discloses a kind of large-scale access scene power balance method based on new energy capacity value, for planning personnel to evaluate system installation sufficient level and operation scheduling provide reference, promote grid and power healthy coordinated development.The application includes the following steps: step (1): annual analysis is carried out, water and fire power maintenance plan is arranged, and the minimum day of system sufficiency is determined as power balance control day;Step (2): according to the operation result of energy storage power supply, whether its electric quantity reaches the requirement of participating in balance is judged;Step (3): the construction of power balance scene: the construction of power balance scene is divided into new energy power balance scene construction, the selection of new energy standby capacity and the production operation simulation of power balance scene with the minimum power gap as objective function.Step (4): according to the production operation simulation result, the power output of peak period is determined, and power balance table is prepared.

The present invention discloses a method for generating a cable length - short - circuit capacity interval for harmonic amplification in a wind farm, which specifically relates to the technical field of offshore wind power harmonic analysis. The technical key points are as follows: Based on the grid connection voltage level of the offshore wind farm and combined with the actual grid operation status, determine the grid short - circuit capacity interval at the grid connection point, and divide the grid short - circuit capacity interval according to a preset capacity interval threshold to obtain multiple grid short - circuit capacity values; Based on the cable characteristic distribution parameters and multiple grid short - circuit capacity values, construct a quantitative analysis model between the harmonic current amplification factor and the cable length and each grid short - circuit capacity; When the harmonic currents at both ends of the cable are equal, use each quantitative analysis model to calculate the cable length interval sequence corresponding to each grid short - circuit capacity, and construct a two - dimensional interval of cable length - short - circuit capacity for offshore wind power harmonic amplification through the cable length interval sequence corresponding to each grid short - circuit capacity.

This invention provides a method for assessing the capacity value of wind farm clusters based on the Johnson distribution system. The method comprises the following steps: Step 1: Establishing a wind farm cluster fluctuation model through power output analysis using a first-order Markov chain algorithm; Step 2: Establishing relevant models for different wind farm clusters through time-series power output analysis using the Johnson distribution system; Step 3: Conducting a reliability assessment of the power system based on the given load level and wind farm capacity, according to the power adequacy index; Step 4: Using a bisection method to adjust the load of the wind farm system to search for the reliable capacity of the wind farm cluster. This invention is designed for large-scale wind turbine integration into the power system and can scientifically and accurately assess its capacity value.

The present application provides a configuration method, device, equipment, medium and program product for an energy storage system. In this method, after obtaining the capacity value of a distribution transformer, the load values at multiple historical moments, as well as configuration parameters such as the unit power cost, unit capacity cost, operation and maintenance coefficient, discount rate per unit duration, usage duration, charging power upper limit, discharging power upper limit and charge-discharge efficiency of the energy storage system, a multi-objective programming model is constructed based on the configuration parameters, and then the rated power, rated capacity of the energy storage system, the charging power at each historical moment and the discharging power at each historical moment are solved. Finally, the energy storage system is configured according to the rated power and rated capacity, and the energy storage system is controlled to operate according to the charging power at each historical moment and the discharging power at each historical moment, so as to achieve the configuration. The present application determines the configuration data by using the parameters of the distribution transformer and the energy storage system, and improves the matching degree between the energy storage system and the distribution transformer.

The application discloses a storage capacity balancing method and device, electronic equipment and a computer readable storage medium. The storage capacity balancing method comprises the following steps: acquiring the current available capacity of each object storage device (OSD) in a distributed storage system; determining an expected balancing capacity based on the current available capacity of each OSD; the expected balancing capacity refers to the capacity value when the available capacity of each OSD is balanced; determining the configuration weight of each OSD based on the expected balancing capacity and the current available capacity of each OSD; determining the OSD polling order based on the configuration weight of each OSD; the OSD polling order is used to represent the order in which each OSD is redirected to write an object; selecting each object mapped by a ROW service, and distributing each selected object to the corresponding OSD according to the OSD polling order. The capacity balancing among each OSD can be higher and the foreground business IO performance is not affected.

The application discloses a method for measuring and regulating the adjustment capacity of a regional comprehensive energy system participating in the power market, and belongs to the technical field of power systems, which comprises collecting response potential power data and state of charge data, taking the load response rate and the sustainable adjustment time length as inputs, measuring the total up-regulation capacity and the total down-regulation capacity through an up-regulation capacity measurement model and a down-regulation capacity measurement model, outputting the up-regulation capacity value and the down-regulation capacity value by using an iterative optimization gate cycle unit, comparing the up-regulation capacity value and the down-regulation capacity value with the constraint conditions of the power market, judging whether to participate in the power market, giving a risk warning on the out-of-limit operation state of the regional comprehensive energy system, and presenting the adjustment capacity boundary of the regional comprehensive energy system in a visual way.The application can comprehensively improve the adaptability, safety and profitability of the regional comprehensive energy system participating in the power market.

The invention discloses a hybrid distribution transformer power electronic module capacity configuration method for load prediction. The method comprises the steps that the capacity of a series compensation module is calculated based on a target area load prediction value so as to represent the power processing capacity needed by voltage compensation; when the capacity of the parallel compensation module is determined, the capacity value of the series compensation module is multiplexed, so that a load fluctuation compensation task is cooperatively borne, and the capacity of the parallel compensation module is equal to the sum of the following two parts: a) the product of the capacity of the transformer in the transformer area and a fixed proportionality coefficient is used for representing a reactive power compensation demand proportion; b) the capacity value of the series compensation module; and selecting the series compensation module and the parallel compensation module of which the actual power processing capacity is not less than the calculation capacity.

The application discloses a low-rated capacity transformer identification method, device, equipment and medium, first, the nameplate capacity value, transformer short-circuit resistance, short-circuit reactance per unit value and historical operation data of the target transformer are acquired. Then, the estimated capacity value of the target transformer is calculated according to the historical operation data, and the voltage regulation rate of the target transformer is calculated according to the transformer short-circuit resistance, short-circuit reactance per unit value and historical operation data. Finally, whether the target transformer has the first low-rated capacity suspicion is judged according to the estimated capacity value and the nameplate capacity value, and whether the target transformer has the second low-rated capacity suspicion is judged according to the voltage regulation rate; if the target transformer has the first low-rated capacity suspicion and the second low-rated capacity suspicion, the target transformer is determined as a low-rated capacity transformer. In summary, the application can realize the automatic screening of the low-rated capacity transformer, and the double suspicion judgment is made by comprehensively considering the nameplate capacity value, the estimated capacity value and the voltage regulation rate, and the occurrence of misjudgment is also effectively reduced.

This invention relates to the field of power system technology and discloses a capacity configuration optimization method, apparatus, equipment, medium, and program product. By acquiring multiple operating models and multiple installed capacity values, this invention establishes a synthetic ammonia production capacity relationship, enabling a comprehensive understanding of the operating characteristics and possible configurations of each part of the system. This, in turn, allows for the quantification of the relationship between synthetic ammonia production capacity and various system factors. Furthermore, by establishing total investment cost and total operation and maintenance cost relationships, the cost composition of the system in terms of investment and operation and maintenance can be clearly understood. Moreover, by establishing an objective function with the goal of minimizing the sales value of synthetic ammonia and solving it using a genetic algorithm, the capacity configuration of the system can be optimized as a whole. Therefore, the capacity configuration optimization result obtained in this way can achieve optimal economic efficiency for a renewable energy hydrogen production, synthetic ammonia, and hydrogen power generation system while ensuring system safety and reliability.

The application discloses a hybrid distribution transformer power electronic module capacity configuration method for load prediction, and the capacity of a series compensation module is calculated based on a target area load prediction value to represent power processing capacity required for voltage compensation; when the capacity of a parallel compensation module is determined, the capacity value of the series compensation module is reused to realize collaborative assumption of a load fluctuation compensation task, so that the capacity of the parallel compensation module is equal to the sum of the following two parts: a) the product of the capacity of a transformer in a transformer area and a fixed proportionality coefficient, to represent the proportion of reactive power compensation demand; and b) the capacity value of the series compensation module; and the series compensation module and the parallel compensation module with actual power processing capacity not less than the calculated capacity are selected.

The invention provides a method for evaluating the capacity of a virtual power plant participated by a charging pile. The method comprises the following steps: obtaining the installation data of the charging pile, the specification data of the charging pile and the use data of the charging pile; establishing charging pile mode features according to the installation data of the charging pile, the specification data of the charging pile and the use data feature vector of the charging pile; performing grouping processing on users of the charging piles through a clustering algorithm and the charging pile mode characteristics, and generating user type clusters with similar charging behavior modes; according to the charging and discharging electricity price data, the charging electric quantity demand and the dischargeable capacity capability, predicting the charging and discharging behavior of the user type cluster; and according to the charging and discharging electricity price data and the prediction result of the charging and discharging behavior of the user type cluster. According to the method, the installation, specification and use data of the charging piles are collected, the charging pile mode feature vectors are constructed, and the adjustable capacity values of different types of charging pile user groups in the virtual power plant are evaluated.

The application discloses a building integrated energy system operation strategy and declaration capacity optimization method considering demand response effectiveness requirements. First, the basic information of the building user side and the power grid side is collected; second, a building integrated energy system optimization scheduling model is established; then, an optimization solving problem of the building integrated energy system optimization scheduling model considering the demand response effectiveness requirements is determined; finally, a mixed integer linear programming algorithm is used to solve the optimization solving problem of the building integrated energy system optimization scheduling model, and the optimal declaration capacity value scheme and the operation strategy scheme are obtained. By using the application, the requirements of the power grid on the user information declaration can be met when the building user participates in the invitation type demand response, the declaration capacity value recommendation scheme and the response strategy recommendation scheme are provided for the user; and based on the response effectiveness auditing mechanism formulated by the power grid, the actual response effect of the user is improved, and the target of further reducing the operation cost of the user is achieved.

The invention discloses a power peak load-oriented self-adaptive optimization method and system for charging and discharging duration of an energy storage power station, and the method comprises the steps: obtaining real-time load data and energy storage unit state information from a power grid through a sensor network, and obtaining a current load curve and a battery residual capacity value; a time sequence prediction model is adopted to analyze the peak starting time and the initial intensity index obtained through judgment, and the predicted duration and the intensity change trend of the peak load are obtained; for the obtained peak load prediction duration and the intensity change trend, calculating the maximum dischargeable duration of each unit by combining the battery residual capacity value of the energy storage unit, and determining a preliminary discharge duration distribution scheme; and generating a control instruction sequence according to the adjusted discharge duration sequence obtained by optimization and the battery residual capacity value monitored in real time, and determining a final charge and discharge scheduling plan.

The invention relates to a flexible load scheduling optimization method and device, equipment, a medium and a program product. Comprising the following steps: acquiring a flexible load response characteristic index of each user at a user side; obtaining a flexible load response capability characteristic value of each user by fusing the index characteristic value and the index characteristic weight of the flexible load response characteristic index of each user; the flexible load response capability characteristic values are input into a preset flexible load response capability evaluation model, and expected available power of each user is obtained through prediction; by inputting the expected available power into a corresponding preset value-at-risk constraint optimization model, determining a flexible load response capacity value of each user under a given confidence coefficient; and jointly inputting the flexible load response capability characteristic value and the flexible load response capacity value into a corresponding preset multi-factor scheduling planning model, and outputting a flexible load scheduling optimization result. By adopting the method, the flexible load scheduling optimization effect in a new energy high-permeability scene is improved.

The application discloses a kind of power supply full life cycle flat equalization capacity cost calculation method, system, equipment and medium, it is related to power system analysis and planning technical field, including obtaining the multiple cost parameters of each year of target power supply in entire life cycle, and according to the operation state data of target power supply in life cycle, calculate capacity reliability representation parameter, each year multiple cost parameters are uniformly converted to reference time point using the preset time value discount factor, and summation is carried out, obtain the present value of total cost in full life cycle, based on the present value of total cost in full life cycle and cumulative effective capacity, the amortization cost of unit effective capacity in life cycle is calculated, i.e.flat equalization capacity cost.The application is quantified to power supply full life cycle flat equalization capacity cost by combining capital recovery, dynamic environmental cost, capacity reliability reduction and comprehensive operating cost, provides fair evaluation basis for the capacity value of power supply of different technical route.

The invention provides a production scheduling method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining production related data and production constraint conditions which comprise a production process logic constraint condition and a resource capability constraint condition; the production process logic constraint condition comprises a logic relationship and a dependency relationship between processes in a production process, and the resource capability constraint condition comprises a production resource quantity and a production resource capability value; based on the production related data and the production constraint conditions, performing production scheduling by using a scheduling model to obtain an initial production plan; and determining a strategy rule based on the production constraint condition, and verifying and adjusting the initial production plan by applying the strategy rule to obtain a production plan. According to the method, the production plan with relatively high resource utilization efficiency can be generated on the premise of meeting the production constraint conditions, and the purposes of production plan optimization and generation capability balance are achieved.

The present invention discloses a capacity detection device, a capacity value detection method, a vehicle detection device and a medium. The method includes: when the capacity detection device detects a connected vehicle, the connected vehicle is judged to obtain the vehicle type of the connected vehicle, a capacity estimation model corresponding to the vehicle type is extracted in the capacity detection device, and the parameters to be calculated of the connected vehicle are detected by the capacity estimation model to obtain the capacity value of the power battery of the connected vehicle, so that the user can obtain the capacity size and quality of the power battery in a short time, while avoiding the tediousness of the full discharge and full charge detection mode, reducing the time, energy and money of the detection to a certain extent, that is, improving the detection efficiency, and reducing the volume and cost of the detection equipment, which is convenient for practical application and promotion.

The application discloses a power distribution method and power distribution equipment for automatic compensation of reactive power, and belongs to the technical field of reactive power compensation of electric power systems. The method generates target compensation quantities of reactive power of each phase by collecting current and voltage signals of three-phase lines, updates capacity values of compensation units through a capacity coefficient, generates multiple sets of compensation unit combinations in combination with the target compensation quantities and the capacity values, and extracts a target compensation unit combination from the multiple sets of compensation unit combinations based on a safety coefficient. Further, the capacity coefficient is corrected by calculating voltage fluctuation rates and compensation efficiencies after compensation, and the safety coefficient is updated by collecting working parameters of each compensation unit. The application can effectively improve the reliability of the compensation units by predicting capacity changes of the compensation units, and further improve the accuracy of reactive power compensation of three-phase lines.

The present invention relates to a method for estimating the remaining service life of a lithium battery based on load mode recognition, which comprises the following steps: load operation superposition mode recognition: sampling data of the lithium battery, and identifying the load as being in one of a constant current mode, a constant resistance mode, a constant power mode, and a superposition mode according to the sampled data; prediction of the remaining service life of the lithium battery in the superposition mode: constructing an SOC table dependent on voltage and current, and calculating the energy capacity Q after the k△t moment according to the current energy capacity value Q0, the voltage V0, and the SOC table. k and voltage V k , when k=M, SOC occurs M ≤0, then the remaining usage time is M△t. This method for estimating the remaining usage time of lithium batteries based on load pattern recognition identifies the load pattern. Based on the load pattern determination, it borrows historical data and uses differential calculus and difference methods to solve nonlinear optimization problems, thereby more accurately estimating the remaining operating time of lithium batteries.

The embodiment of the invention provides a queue adjustment method, device and equipment based on a thread pool. The method comprises the steps that when it is determined that a task queue operated in a terminal triggers a refusal strategy, thread operation parameters of the terminal are acquired; wherein the thread operation parameters represent operation conditions of threads in a thread pool in the terminal; the task queue inherits the function of a blocking queue; determining a target capacity value of the task queue according to the thread operation parameters; sending an adjustment request to a configuration center; wherein the adjustment request represents that the capacity of a task queue is requested to be adjusted to a target capacity value; the adjustment request is used for requesting the configuration center to adjust the capacity of a task queue in the terminal to a target capacity value in response to the adjustment request. The method is used for achieving the effect of adjusting queues according to load requirements.

The invention relates to the technical field of multi-modal computing power arrangement, and discloses a multi-modal computing power arrangement method and system, and the method comprises the steps: obtaining multi-modal service flow data, extracting the service flow features of the multi-modal service flow data, inputting a preset information capacity calculation model, and carrying out the calculation to obtain an information capacity value needed by each service flow feature; based on a preset node utility function and the information capacity value, determining an initial computing power value required for processing each service; mapping the service flow to a corresponding container according to the initial computing power value; and dynamically adjusting the initial computing power value to generate a target computing power value according to the priority weight of the service flow corresponding to the container, and allocating computing power resources based on the target computing power value. According to the invention, through three core mechanisms of multi-modal feature fusion analysis, information-capacity-driven dynamic computing power prediction and priority-perceived resource scheduling, high efficiency and real-time performance of multi-modal data processing and balance of resource allocation are realized. The technical problem that the requirements of multi-mode service flow cannot be met due to limitation of static scheduling and single data type processing in the prior art is solved.

The present invention discloses a method for capacity configuration of an integrated energy system based on CCER quotas. First, source and load clustering is performed to obtain the corresponding typical daily frequency and clustering effect diagram; then, low-carbon coupling equipment is added to the thermal power units and modeled separately; based on the introduced ladder carbon trading model of carbon emission quotas, the method is solved through MATLAB to obtain the optimal capacity value of each device corresponding to the minimum objective function, as well as the output and electrical power balance of the equipment in each time period, the total system cost and carbon emissions, thereby completing the optimal capacity configuration of the energy system.

The invention discloses a transient stability assessment method and system considering new energy access, and belongs to the technical field of transient stability assessment. The method comprises the following steps: calculating a short-circuit capacity index, modifying an impedance value for M times based on the demand of the short-circuit capacity index, and calculating to obtain M short-circuit capacity values; modifying new energy output for N times based on the demand of the new energy permeability index, and calculating to obtain N new energy permeability values; based on the M short-circuit capacity values and the N new energy permeability values, the total number K of scenes is calculated; and based on the relative power angle curve and the voltage curve of the connection point end of the local power grid and the main grid, and through the power angle measurement index and the voltage measurement index, evaluating the transient stability of the local power grid. According to the method, the problems of inaccurate transient stability evaluation indexes and scene combination explosion in the prior art can be effectively solved, and more accurate transient stability can be obtained in alternating-current and direct-current hybrid power grids and new energy stations according to the method.

A method for determining a capacitance value of a super-capacitor of an electro-mechanical braking system is described. The method may include measuring a first voltage value at terminals of the super-capacitor; if the first voltage value is greater than a predetermined minimum voltage, performing a charge or discharge action of the super-capacitor for a measurement time period, in order to make the terminals of the super-capacitor assume a second voltage value greater than or equal to said minimum voltage; determining a voltage variation at the terminals of the super-capacitor during the measurement time period; determining a voltage variation rate; measuring a current value flowing in one of the terminals of the super-capacitor, at a measurement instant; and calculating the capacitance value of the super-capacitor. A braking system and a vehicle are also described.