20 results about "Capacity value" patented technology

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 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.

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 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 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 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.

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 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 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.

The invention discloses a power distribution method and power distribution equipment for reactive power automatic compensation, and belongs to the technical field of reactive power compensation of a power system. The method comprises the steps of generating a target compensation amount of reactive power of each phase by collecting current and voltage signals of a three-phase line, updating a capacity value of a compensation unit through a capacity coefficient, generating multiple groups of compensation unit combinations by combining the target compensation amount and the capacity value, and extracting a target compensation unit combination based on a safety coefficient. Furthermore, the capacity coefficient is corrected by calculating the voltage fluctuation ratio and the compensation efficiency of each phase after compensation, and the safety coefficient is updated by collecting the working parameters of each compensation unit. The reliability of the compensation unit can be effectively improved by predicting the capacity change of the compensation unit, and then the accuracy of reactive power split-phase compensation of the three-phase line is improved.

This application relates to the field of energy storage configuration optimization technology, and discloses a method and system for energy storage capacity configuration based on multi-timescale coordination. The method includes: acquiring raw load power time series data, separating high-frequency power variation components and low-frequency energy offset components, constructing an initial load characteristic dataset and generating a coupled interactive numerical matrix; determining the coupling state between the high-frequency power variation components and the low-frequency energy offset components, extracting the baseline drift amplitude and instantaneous power ramp-up slope, and generating a joint influence factor sequence; fusing capacity gap and fluctuation synchronization degree to generate a comprehensive power demand sequence; performing multi-timescale power-energy separation to obtain intermediate results of energy storage response power and energy shift capacity; and matching the rated power margin and cumulative energy window of the power system to determine the rated power value and energy capacity value of the energy storage configuration. This application improves the accuracy and adaptability of energy storage configuration in power systems.

The invention discloses a bucket capacity matching method and system, a controller and an excavator, and the method comprises the steps: inputting an obtained current material state parameter into a preset stability coefficient calculation model based on a current bucket capacity type of the excavator, and calculating a target stability coefficient and a corresponding target bucket capacity value; and the target stability coefficient is compared with a preset reference stability coefficient, and when the target stability coefficient meets the bucket replacement condition, the target bucket capacity value is selected for bucket replacement. According to the bucket capacity matching method provided by the embodiment of the invention, the stability coefficient can be determined through the current material state parameter based on the current bucket capacity type when the operation material changes, and the dynamic influence of the material attribute change on the stability of the whole machine is considered through the determined stability coefficient; and the selected upper limit of the bucket capacity value is restrained, and the maximum available target bucket capacity value is recommended, so that the overturning hidden danger caused by over-limit is prevented, meanwhile, the cycle operation time is shortened, and the manual trial and error cost is eliminated.

The invention discloses a day-ahead electricity market random joint clearing method and system considering capacity value, and relates to the technical field of electricity market clearing, and the method comprises the following steps: receiving unit parameters, load data, line parameters and renewable output historical data; using K-means clustering to generate a typical wind and light scene and a corresponding probability thereof; and inputting the unit parameters, the load data, the line parameters, the typical wind and light scenes and the corresponding probabilities thereof into a pre-established random capacity and energy combined clearing model, and outputting to obtain an optimized market combined clearing result. The optimized market joint clearing result comprises node capacity perception LMP obtained through dual variable calculation based on node power balance constraint, total operation cost, capacity compensation cost and expected values and fluctuation ranges of the node capacity perception LMP in different typical wind and light scenes.