7 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 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 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.

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.

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.