36 results about "Capacity value" patented technology

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 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.

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 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 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 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.

This invention relates to the field of power system technology and discloses a capacity configuration optimization method, device, equipment, medium, and program product. By acquiring multiple operating models, this invention can gain a deep understanding of the operating patterns and interrelationships of various components within the system. Furthermore, by setting the highest renewable energy consumption ratio as the objective and establishing an objective function based on multiple operating models and initial installed capacity values, the complex operating conditions and optimization requirements of the system can be transformed into mathematical expressions. This achieves effective integration of system information, enabling the objective function to comprehensively reflect the system's operating characteristics and constraints. Consequently, it can determine the system's renewable energy consumption under different installed capacity scales. Through particle swarm optimization, it can quickly search within a vast space of installed capacity combinations to find the combination of installed capacity that maximizes the renewable energy consumption ratio and determine the final capacity configuration optimization result, thereby improving the renewable energy consumption ratio.

The application discloses a kind of power grid flexibility resource scheduling method, device, equipment and storage medium, the method includes: according to the error of wind and light power station output prediction data and measured data, error change rate and the power gap value of system are determined, and then the comprehensive unbalance risk assessment value of system is determined;According to the power gap value and the upward adjustment capacity of thermal power generating set, the power compensation amount that hydroelectric generating set needs to undertake is determined, the dynamic response capability of hydroelectric generating set is determined in combination with the available adjustment capacity of hydroelectric generating set;Based on comprehensive unbalance risk assessment value and the dynamic response capability of hydroelectric generating set, the system comprehensive risk index is determined;If the reconfiguration standby resource is needed by the overrun amplitude of system comprehensive risk index, the output adjustment amount and scheduling priority sequence of various resources are determined based on the standby capacity value of thermal power generating set, hydroelectric generating set and energy storage device to carry out power grid scheduling.The application improves the safe and stable operation ability of system.

The present application relates to a kind of transformer rated capacity detection method, comprising: S1 constructs transformer rated capacity detection model;S2 obtains the test sample of transformer nameplate, test sample includes transformer rated capacity, transformer no-load loss, load loss and short-circuit impedance parameter;S3 is input to the transformer rated capacity detection model in test sample;S4: compare whether the capacity value of the transformer rated capacity detection model output is consistent with the rated capacity value of this transformer, when the comparison result is consistent, then identify the output capacity value is real capacity value;When the comparison result is inconsistent, then execute step S5;S5 returns step S2, the capacity value of the transformer rated capacity detection model output is used as new transformer rated capacity value, reacquire transformer no-load loss, load loss and short-circuit impedance parameter, continue to execute transformer rated capacity detection.

This invention discloses a method and system for decoupling and evaluating the combined capacity value of wind and energy storage, relating to the field of new power system planning and operational reliability assessment technology. The method includes: acquiring full-time-series basic data and defining the basic value of system adequacy; obtaining the optimal energy storage charging and discharging execution strategy through wind-energy storage joint operation simulation; executing dynamic reconstruction and joint output truncation of the real risk period set; obtaining the reconstructed real risk period set; and extracting the joint output time-series statistical characteristic parameters; finally, using an equivalent reliable capacity assessment model, solving for the overall equivalent capacity value of the wind-energy storage joint system to the power grid, thereby achieving nonlinear decoupling and confirmation assessment of the effective capacity of the wind power itself. This invention overcomes the limitations of traditional capacity assessment methods, such as fixed energy storage operation strategies, static extraction of risk periods, and difficulty in separating joint gains. It provides a quantitative basis for optimizing the long- and short-term energy storage capacity configuration of high-proportion wind power systems and designing power market capacity compensation mechanisms.

The invention discloses a capacity measurement compensation method under the influence of output ripples in formation and capacity grading processes. The method comprises the following steps: acquiring an output current sequence of a target channel in a capacity statistics window; identifying a ripple period boundary corresponding to the output current sequence, and dividing the capacity statistical window into a front-end incomplete period, a middle complete period section and a rear-end incomplete period according to the ripple period boundary; integrating the output current sequence in the middle complete period section to obtain a main body capacity value; constructing a front-end local ripple template and a rear-end local ripple template, performing integration on the front-end local ripple template corresponding to the front-end incomplete period to obtain a front-end compensation amount, and performing integration on the rear-end local ripple template corresponding to the rear-end incomplete period to obtain a rear-end compensation amount; and adding the main body capacity value, the front-end compensation amount and the rear-end compensation amount to obtain a final compensation capacity value. According to the invention, the capacity measurement precision under the condition that output ripples exist in the formation and capacity grading process is improved.

The embodiment of the invention discloses a differential capacity cost compensation method for coal power units, and relates to the technical field of power capacity cost compensation, and the method comprises the steps: obtaining unit operation parameters and unit cost parameters of each coal power unit in a target region, and the power load data of each user; calculating annual capacity cost based on the obtained parameters; determining the capacity cost of the user side according to the total installed capacity and the annual capacity cost of the coal power unit meeting the capacity cost compensation condition; calculating an average capacity compensation parameter based on the predicted electric quantity demand sum of all users and the user side capacity cost; determining a differentiation coefficient according to the power load data of the user, and adjusting the average capacity compensation parameter to obtain a capacity compensation parameter of the user; and compensating the capacity cost based on the capacity compensation parameter. The method can effectively reflect the actual operation characteristics of different coal power units and the use difference of the user load on the system capacity, and can achieve the precise compensation and reasonable recovery of the capacity value.

This application relates to a method, apparatus, device, dielectric, and product for modeling the degradation of supercapacitors. The method includes: determining the average capacity of each supercapacitor at each measurement time based on the measured capacity values ​​obtained at different preset durations of accelerated aging tests; determining the capacity retention rate at each measurement time based on the ratio of each average capacity to the initial average capacity; determining the first initial parameter of the capacity retention rate degradation model using a differential evolution algorithm based on each capacity retention rate; using the first initial parameter as the initial value for the LM algorithm; and performing nonlinear least squares iteration using the LM algorithm to obtain the first target parameter of the capacity retention rate degradation model. This method can more accurately assess the capacity degradation trend of supercapacitors.

The invention discloses a charging and discharging metering method and device and a storage medium, and the method comprises the steps: enabling a power station system to obtain a time point at which charging starts last time in a previous day, enabling the time point in the previous day to serve as the starting time of the current day for charging and discharging metering, and enabling the time point in the current day to serve as the ending time of the current day for charging and discharging metering; the power station system obtains a plurality of charging time periods and a plurality of discharging time periods from the starting time of the day to the ending time of the day according to a pre-stored charging and discharging strategy table; the power station system calculates a charging capacity value of each charging time period according to each charging time period, and calculates a discharging capacity value of each discharging time period according to each discharging time period; and the power station system calculates the reference charging amount of the day by using the charging capacity value of each charging time period, and calculates the reference discharging amount of the day by using the discharging capacity value of each discharging time period.

The invention provides a distributed power supply bearing capacity evaluation and capacity recommendation method and system, and aims to realize intelligent access and dynamic regulation and control of distributed power supplies in a power distribution network. The method comprises the steps of collecting operation parameters of each node of a power distribution network in real time, and generating node feature data according to node numbers; performing standardization processing on the node feature data, and constructing a time sequence covering a preset duration; inputting the time sequence into a bearing capacity evaluation model fusing time sequence analysis and an attention mechanism, and outputting the maximum accessible capacity value of each node; judging whether the capacity value meets the access requirement of the target distributed power supply or not, if so, generating a recommended access capacity value in combination with a load prediction result, and realizing real-time regulation and control through a control instruction; and if not, repeating the evaluation process in the next sampling period. Through the method, accurate evaluation of the access capability of the distributed power supply is realized, the operation efficiency of the power distribution system is improved, and the method is suitable for dynamic access management in a multi-type power distribution scene.