203 results about "Load loss" patented technology

The invention relates to the technical field of data processing, in particular to an intelligent analysis system for electric energy quality and read data, which comprises a data fusion module, a modeling module, an analysis module, a detection module, an optimization module and a control module. The data fusion module aligns data of an electric meter terminal, power grid monitoring equipment and an environment sensor through a sliding time window, and the analysis module calculates a power grid node loss transfer coefficient based on a graph neural network and fuses transformer no-load loss and line contact resistance parameters to generate a dynamic line loss evaluation matrix. And the detection module identifies the power consumption characteristic deviation degree through a random forest classifier, and generates a priority management strategy in combination with a multi-dimensional abnormal scoring model. The control module adaptively selects a communication protocol to execute a regulation and control instruction according to a network state, a heartbeat detection mechanism feeds back operation data of a governance device in real time, model parameters are driven to be iteratively updated, and dynamic cooperation of power supply quality optimization and line loss governance is achieved.

The invention relates to the technical field of power system automation, in particular to a monitoring and maintenance system and method for a transformer substation. The system comprises a quantitative classification module, a difference analysis module and a grading adjustment module. Equipment in a transformer substation is classified through the quantitative classification module, correction parameters such as aging and load loss are introduced for single-equipment monitoring through the difference analysis module, misjudgment and missed judgment caused by equipment state changes are reduced by combining multi-level threshold values, associated equipment is modeled through a GNN model, neighbor states are aggregated, the equipment health degree is output, and the equipment quality is improved. The method comprises the following steps of: quantifying a fault propagation probability, pre-warning cascading fault risks in advance, and adjusting a threshold value of a single device in a linkage manner while a hierarchical adjustment module takes risk response measures, so that single device monitoring is adaptively matched with an associated device risk state, full-coverage accurate monitoring is realized, and local and global risks are considered.

The invention discloses a load-variable ultra-large-capacity dry-type transformer, and relates to the technical field of dry-type transformers, the load-variable ultra-large-capacity dry-type transformer comprises three groups of main iron core columns and three groups of auxiliary iron core columns, the section of each main iron core column is in a stepped shape, and three layers of amorphous alloy belts are laminated in each main iron core column; the thickness of the middle layer of the three layers of amorphous alloy belts is set to be 1.2-1.5 times that of the two side layers, and independent lap joint pieces are arranged at the joints of the lamination sets in the auxiliary iron core column. The stepped sections of the three groups of main iron core columns are combined with the magnet yokes with thin tops and thick bottoms, so that the magnetic flux density is uniformly distributed, the capacity of a single column is improved, the problems that the capacity of a single traditional dry-type transformer is limited and the whole transformer needs to be replaced during capacity expansion are solved, the occupied area is reduced through modular splicing, the capacity of a single group of iron core columns is increased, and the no-load loss is reduced.

The invention discloses a flexible resource configuration scheduling method for a new energy power system based on a comprehensive toughness factor, and the method comprises the steps: S1, setting initial power parameters, and setting initial flexible resource configuration; s2, constructing a comprehensive scene set through historical power parameters and a probability model; and S3, carrying out toughness evaluation on the electric power system under the current flexible resource configuration condition, firstly establishing a flexible resource model, then establishing an electric power system toughness evaluation model, and calculating load loss under different scene conditions and an electric energy insufficiency expected value under the condition of the current flexible resource configuration proportion k. According to the method, the toughness indexes of different scenes are calculated through the direct current optimal power flow optimization model considering the flexible resources, then the flexible resource configuration proportion is adjusted according to the comparison result of the indexes and the set value, and the lifting priority is arranged according to the development cost of different flexible resources. The flexible resource configuration considering the toughness requirement is realized, and the toughness of the power system is effectively improved.

The embodiment of the invention provides a transformer loss monitoring method and a transformer loss monitoring system, and the monitoring method comprises the steps: dynamically updating winding resistance, excitation reactance and iron core magnetic conductivity according to an electromagnetic parameter and a temperature parameter in a state vector space through employing a complex frequency domain parameter identification algorithm which introduces a fusion expansion Cole-Cole model; the no-load loss and the load loss are decoupled through an improved all-electric difference method, the dynamically updated excitation reactance and the iron core magnetic conductivity are used for decoupling the no-load loss, and the dynamically updated winding resistor is used for decoupling the load loss; and taking the decoupled loss data and the associated parameters in the state vector space as the input of an LSTM-Transform hybrid model loaded on the edge calculation module, and predicting and outputting the load loss trend in the future time period. According to the transformer loss monitoring method, the real-time performance, the accuracy and the adaptability of transformer loss monitoring are improved.

The invention discloses a power distribution network reconstruction decision risk assessment method and system based on state deduction and rule reasoning, and a medium, and the method comprises the steps: carrying out the static power flow and voltage checking of an established reconstruction decision, and determining that the established reconstruction decision is a high risk if the line power flow and / or node voltage are / is out of limit; otherwise, constructing model input based on the node characteristics at the current moment and in a certain historical time period before the current moment and the time sequence data of the topological structure of the power distribution network, inputting the model input to a trained space-time diagram deduction model, and deducing to obtain time sequence data of each node voltage and each line power flow in a future preset time period; evaluating an expected risk of the established reconstruction decision by using three indexes of a line overload risk, a voltage out-of-limit risk and a load loss risk; and reasoning the risk level of the established reconstruction decision by using the constructed rule reasoning model. According to the method, the risk deduction result is ensured to conform to the physical characteristics of the power grid, and the interpretability and transparency of the model can be remarkably improved.

The embodiment of the invention discloses an off-line monitoring method and device for the state of a transformer winding, equipment and a storage medium. The method comprises the steps of obtaining off-line frequency response test data, at least comprising a smooth frequency response curve, of a transformer; obtaining a resonance frequency and a resonance peak value according to the smooth frequency response curve, and calculating a first transformer capacity, a first no-load loss and a first short-circuit loss under the resonance frequency; utilizing the first transformer capacity, the first no-load loss, the first short-circuit loss and a preset multi-dimensional inferior fusion model to obtain a first comprehensive index used for reflecting the performance change of the transformer winding under the resonant frequency; and determining the current winding state of the transformer according to the first comprehensive index and a predetermined second comprehensive index. By means of the mode, higher sensitivity and reliability can be displayed in diagnosis of winding states such as winding deformation faults, and the method has important significance in prolonging the service life of a transformer and improving the operation reliability and economical efficiency of a power grid.

The invention provides a hysteresis loop analysis method for a transformer no-load loss test, and belongs to the technical field of transformers. Exciting voltage and current signals are collected in a transformer no-load state, and an active filter is used for carrying out digital filtering processing to eliminate harmonic interference; a data corresponding relation between magnetic flux density and magnetic field intensity is established through a digital integration algorithm and a magnetic field intensity calculation formula to form original hysteresis data, the original hysteresis data is processed by using a hysteresis loop optimization model, a complete hysteresis loop curve is generated, and the hysteresis loop area is calculated. According to the hysteresis loop area, the hysteresis loss power density is calculated through the iron loss calculation function, the total value of the transformer no-load loss is obtained by combining the eddy current loss calculation result, and the technical problems that the hysteresis loop reconstruction precision is not high and the complex hysteresis phenomenon cannot be adapted in the transformer no-load loss test are solved.

The invention relates to the technical field of soft magnetic materials, in particular to an iron-based amorphous alloy strip, a preparation method of the iron-based amorphous alloy strip, an amorphous alloy iron core and a transformer. The iron-based amorphous alloy strip is composed of main elements of Fe, Si, B and C and inevitable impurities. Nicks distributed at intervals are formed in the surface of the iron-based amorphous alloy strip; the iron-based amorphous alloy strip has B80 / BS > = 0.96, where B80 / BS is the ratio of the magnetic flux density B80 generated when an external magnetic field of 80 A / m is applied to the iron-based amorphous alloy strip to the saturation magnetic flux density BS of the iron-based amorphous alloy strip. According to the amorphous iron-based alloy strip disclosed by the invention, the effective component proportion is combined with the strip for nicking, B80 can be effectively improved, the magnetic density design space of a transformer iron core is improved, the soft magnetic performance is improved, and meanwhile, a transformer has relatively low noise and no-load loss.

A unit maintenance plan double-layer optimization method considering new energy grid connection comprises the steps that an upper-layer optimization model is established, and the minimum unit operation cost and the minimum unit conventional maintenance cost in the planned maintenance period serve as target functions; solving a unit start-stop plan during a maintenance plan period by using a genetic algorithm, and arranging a historical maintenance plan as an initial population; establishing a lower-layer optimization model, and taking the minimum unit fault risk cost and the minimum wind and light abandoning and load shedding expected cost in the maintenance plan period as a target function; according to the obtained unit start-stop plan, solving the optimal output and scheduling arrangement of the unit during the maintenance plan by using an improved particle swarm algorithm; and solving the total economic cost of the system according to the obtained optimal output and scheduling arrangement of the unit, and obtaining an optimal maintenance plan according to optimization iteration. According to the method, a basis can be provided for a maintenance plan of a power grid worker, the load loss amount is minimum, the economical efficiency is optimal, and specific guidance is provided for maintenance of equipment with different voltage grades in a power grid.

The invention discloses an analysis method and system for energy conservation and loss reduction of transformers, and the method comprises the steps: collecting the standby state data of a transformer group, recognizing a high-loss unit, and predicting the parameter drift trend of the high-loss unit; acquiring an electromagnetic impact strength signal in a working state; the parameter drift trend and the electromagnetic impact strength signal are fused, and the collaborative imbalance risk is evaluated; and according to a risk assessment result and a risk cause, dynamic voltage regulation and load balancing optimization are adaptively executed. The cross-working-condition correlation analysis and closed-loop control are carried out on the transformer group serving as the power supply core, so that the standby no-load loss can be effectively reduced, the equipment aging can be delayed, the operation cost can be reduced, the long-term stability and reliability of the power supply system can be ensured, and the method can be widely applied to the industrial fields of pulsed electric fields, precision manufacturing and the like.

The invention discloses a distribution transformer load loss prediction method and system based on pilot-scale test monitoring data. The method comprises the following steps: collecting pilot-scale test data of a distribution transformer load loss related variable; preprocessing the collected pilot plant test data, and performing correlation analysis on the preprocessed variable data to obtain an independent variable in a distribution transformer finished product load loss prediction function; performing multiple regression analysis on the selected independent variables to obtain a regression model, correcting the regression model to obtain a distribution transformer finished product load loss prediction function, and verifying the load loss prediction function; and performing load loss prediction on the distribution transformer finished product based on the verified load loss prediction function. According to the method, the predicted value of the load loss can be quickly obtained by analyzing pilot test data, the time and the cost of a traditional experiment are reduced, and the calculated load loss prediction precision can be effectively improved by analyzing variables and verifying functions.

The application provides an oil-immersed transformer, which comprises an oil tank body, a transformer body and a heat dissipation device, the oil tank body is made of aluminum alloy material and comprises an oil tank cover plate, an oil tank shell wall, an oil tank bottom plate and two oil tank fixing seats, the transformer body is arranged inside a space surrounded by the oil tank body, the transformer body comprises a planar winding core, a high-voltage coil, a low-voltage coil, an upper clamp and a lower clamp, the upper clamp and the lower clamp are made of aluminum alloy material, the heat dissipation device is fixed to the outer wall of the oil tank shell wall, and the heat dissipation device has the advantages of small density, light weight, strong heat dissipation capacity, non-magnetic conductivity and high mechanical strength, so that the volume of the transformer is reduced, the weight of the transformer is reduced, the heat dissipation effect is good, and the operation state is stable; and the planar winding core structure is adopted, so that the no-load loss and the no-load current are low, the structure is compact and reasonable, and the operation reliability of the product is improved.

The invention discloses a method and system for diagnosing transformer core defects based on different frequency no-load losses, and the method comprises the steps: carrying out the demagnetization operation of a transformer core, carrying out the low-voltage no-load loss test of a transformer at different frequencies after each demagnetization, and carrying out the fault diagnosis of the transformer core defects; after each low-voltage no-load loss test, judging whether the demagnetization of the transformer core is thorough or not according to the variance of the no-load loss data; carrying out low-voltage no-load loss tests under different frequencies on the transformer of which the iron core is thoroughly demagnetized to obtain multiple groups of transformer no-load loss test data; counting multiple groups of transformer no-load loss test data from a transverse or longitudinal angle so as to determine a no-load loss distribution range, and determining a threshold value according to the no-load loss distribution range; and comparing the multiple groups of transformer no-load loss test data with a threshold value, and judging whether the transformer core has defects or not. According to the invention, the sensitivity of transformer core defect diagnosis can be improved.

The invention discloses a transformer safety assessment method and system based on a variable frequency loss test, and the method comprises the steps: applying test voltages of different frequencies to a target transformer, and collecting the load loss data, generated by the test voltages of different frequencies, of the target transformer; establishing a loss-frequency characteristic curve relation, analyzing the deviation from an early-stage curve, and carrying out turn-to-turn short circuit analysis and winding fault analysis; introducing an infrared thermal imaging method, and combining turn-to-turn short circuit analysis and winding fault analysis of the transformer to carry out fault positioning and fault judgment on a target transformer; and constructing a transformer safety level scoring model, and performing safety evaluation on the target transformer based on the transformer safety level scoring model. By analyzing the load loss change of the transformer under different frequencies, the working state of the transformer is accurately evaluated, whether faults such as turn-to-turn short circuit exist in the transformer or not is judged, and the effects of improving the fault detection capability and simplifying the test process can be achieved.

The invention belongs to the technical field of transformer insulation loss and life evaluation, and discloses a power transformer thermal life loss calculation method, system, device and medium, and the method comprises the steps: calculating the bidirectional load rate when a transformer is connected with distributed new energy, and judging the current power flow operation state of the transformer; obtaining a rated loss parameter of the transformer under a rated condition, and calculating the load loss of the transformer in combination with a harmonic loss factor corresponding to the transformer under the bidirectional power flow; voltage per unit values of the high-voltage side and the low-voltage side of the transformer are obtained, and the no-load loss of the transformer is calculated in combination with the iron core loss factor of the transformer; calculating the hot spot temperature of the transformer under the power flow switching condition; and calculating the relative aging rate of the transformer. The method is suitable for calculating the hot-spot temperature and the insulation life loss of the transformer in the scene of transformer power flow switching caused by high-proportion new energy penetration, the hot-spot temperature and the relative thermal life loss of the transformer under the condition of power flow reversal can be predicted, and operation and maintenance management is facilitated.

The invention relates to the technical field of electrical engineering, and discloses a voltage transformer, a design method and device thereof and a storage medium, and the method comprises the steps: determining the size of an iron core, and the electrical parameters of a primary side winding and a secondary side winding according to the electrical performance parameters and space limitation conditions of a target voltage transformer; calculating no-load loss, no-load magnetization and no-load current of the target voltage transformer based on the ferromagnetic material attribute parameters and the iron core size; determining a leakage reactance value reduced to a secondary side and total resistance of the winding according to the winding structure parameters; establishing an initial three-dimensional finite element simulation model of the voltage transformer based on the iron core size information and the winding parameters; determining a no-load error and a load error of the voltage transformer based on the no-load loss, the no-load magnetization, the leakage reactance value, the total winding resistance and the winding structure parameters; and performing feedback optimization on the initial simulation model based on the no-load error and the load error to obtain a target three-dimensional finite element simulation model, and manufacturing a target voltage transformer based on the simulation model.

The application discloses a variable-load super-large capacity dry-type transformer, relates to the related technical field of dry-type transformers, and comprises three groups of main iron core columns and three groups of auxiliary iron core columns, wherein the main iron core column section is provided in a stepped shape, the inside of the main iron core column is stacked by three layers of amorphous alloy strips, the thickness of the middle layer of the three layers of amorphous alloy strips is 1.2-1.5 times that of the two side layers, and the lamination groups in the inside of the auxiliary iron core column are provided with independent lap pieces at the joints. The application realizes uniform magnetic flux density distribution and single-column capacity improvement by combining the stepped section of the three groups of main iron core columns with the magnetic yoke which is thin at the top and thick at the bottom, solves the problems that the single capacity of the traditional dry-type transformer is limited and the whole machine needs to be replaced for capacity expansion, reduces the occupied volume through modular splicing, increases the capacity of a single group of iron core columns, and reduces the no-load loss.

The embodiment of the invention discloses a distribution transformer electrical parameter complex field on-line synchronous vector monitoring device and method, and the device comprises a high-precision synchronous vector measurement and collection module and a controller, and the high-precision synchronous vector measurement and collection module is connected with the controller. The high-precision synchronous vector measurement and acquisition module is used for being connected with a neutral line at the low-voltage side of the distribution transformer to be measured and a three-phase line at an outlet, and is used for measuring and synchronously acquiring a zero-sequence voltage vector and a neutral line current vector at the low-voltage side of the distribution transformer to be measured. The controller is used for determining the short-circuit complex impedance of the distribution transformer to be measured according to the zero-sequence voltage vector and the neutral current vector, so as to determine the load loss and the short-circuit voltage of the distribution transformer to be measured according to the short-circuit complex impedance, namely, the zero-sequence voltage vector and the neutral current vector are simply and synchronously measured on the low-voltage side of the distribution transformer. Therefore, on-line monitoring of short-circuit complex impedance and electrical parameters can be realized, and problems in the prior art are solved.

The invention relates to the field of transformer control, and particularly discloses a dual-energy-saving roll-core intelligent transformer system and a transformer. The load rate of the dual-energy-saving roll-core intelligent transformer is obtained and compared with the optimal load rate range of the dual-energy-saving roll-core intelligent transformer; judging whether the operation of the double-energy-saving roll-core intelligent transformer needs to be regulated or not, if so, obtaining the load state of the double-energy-saving roll-core intelligent transformer, and when the intelligent transformer is in light-load operation, analyzing the output voltage of the intelligent transformer in the light-load state and the appropriate down-regulation amount of the operation capacity, and reducing the no-load loss; when the intelligent transformer operates in a heavy load mode, the appropriate up-regulation amount of the output voltage and the operation capacity of the intelligent transformer in the heavy load state is analyzed, the power supply quality is ensured, and then load self-adaptive adjustment of the double-energy-saving roll iron core intelligent transformer is achieved. Therefore, the device always works in the optimal load rate range.

The invention belongs to the technical field of transformer high-voltage tap switches, and particularly relates to a transformer high-voltage tap switch and a high-voltage lead wiring method. According to the invention, by merging the idle coil into the operation area, the overall resistance of the coil in the tapping area is reduced, and the load loss of the transformer is obviously reduced, so that the energy efficiency is improved, and on the premise of keeping the load loss unchanged, the sectional area of the wire in the tapping area can be reduced by reasonably adjusting the coil wiring mode; therefore, the cost of copper wires and other main materials in the transformer manufacturing process is reduced.

The invention belongs to the technical field of power electronics, and provides a doubly-fed converter with a slow shutdown function, a wind power generation system and a shutdown method. A direct-current side energy storage circuit is arranged between a grid-side alternating-current circuit and a machine-side alternating-current circuit; when the power grid load is lost, controlling the grid side alternating current circuit to enter a grid construction voltage source mode, and controlling the machine side alternating current circuit to enter a grid following current source mode; the inertia and the maximum safety speed of the rotor are used as boundaries, the maximum energy capable of being absorbed by the rotor is given, and while the slip power of the rotor is increased, the whole machine power is distributed to a machine side converter; and the direct current side energy storage circuit is controlled to dynamically distribute the residual capacity and store or consume the energy, so that slow shutdown can be realized after the fan system loses the load, the torque and power impact caused by sudden load loss due to a fault and sudden off-grid of the fan system is reduced, a transmission chain system is protected, and the fan load is reduced.

The invention discloses a traction power supply simulation system and simulation method for an urban rail vehicle, and relates to the technical field of urban rail transit. Comprising an operation parameter acquisition module used for acquiring urban rail vehicle characteristic parameters and operation state parameters; the hindering instantaneous power calculation module is used for calculating and representing a wind direction resistance coefficient and a rolling resistance coefficient and correcting the rolling resistance coefficient through environment humidity so as to calculate rolling resistance and air resistance; the comprehensive energy consumption analysis module is used for calculating the instantaneous power of the vehicle and the operation energy consumption of the railway vehicle; the transformer substation loss characterization module is used for calculating line loss and load loss of the transformer substation according to the comprehensive energy consumption of the railway vehicle; and the power transmission network consumption summarization module is used for obtaining power transmission network consumption. The rolling resistance and the air resistance of the vehicle can be effectively calculated, so that the instantaneous power and the operation energy consumption of the vehicle can be accurately calculated, and a foundation is laid for further reducing the energy consumption of a rail transit system.

The invention discloses an extra-high-voltage direct-current transmission characteristic-considered Saggob base transmission and storage collaborative planning method, which comprises the following steps of: generating a model by using a wind and light scene, generating typical and atypical scenes of wind and light output, and constructing a Saggob base matched transmission-storage collaborative planning model which comprises a planning layer and an operation simulation layer; based on the output of the wind and light scene, planning the assorted delivery power transmission starting and falling point of the Saggob base and the electrochemical energy storage capacity and power of the base, and constructing the planning layer; constructing an operation simulation layer by combining a typical extra-high voltage direct current transmission curve set construction method and a system load loss wind quantitative index and taking random-time sequence operation simulation as a basis; introducing a system loss load risk avoidance coefficient, adjusting the preference degree between the power load guarantee supply demand and the investment cost through the coefficient, and optimizing the model by taking the lowest operation simulation cost of the Saggoc base delivery system as a target; and solving each flexibility resource of the system in each time sequence scene and an operation strategy of the extra-high voltage direct current curve through a scene analysis method.

The application belongs to the technical field of power distribution network automation, and particularly relates to a power distribution transformer intelligent regulation and control method and system based on energy efficiency evaluation, which comprises the following steps: collecting the low-voltage side current, rated current, no-load loss and load loss of a power distribution transformer, and calculating the load rate; obtaining the fluctuation intensity according to the standard deviation of the load rate in a sliding window, and obtaining the change gradient by subtracting the load rates at adjacent time points; obtaining the direction consistency index according to the consistent degree of the directions of the change gradient in a preset number of steps; calculating the noise covariance according to the fluctuation intensity and the direction consistency index, and obtaining the smoothed load rate by substituting the Kalman filter equation; dynamically determining the threshold step number according to the direction consistency index, calculating the smoothed total loss, and determining the preset energy efficiency threshold according to the no-load loss and the load loss. The application reduces the tap changer regulation frequency and prolongs the service life of the contact.

The invention discloses a transformer design method and system based on a hierarchical genetic algorithm and a medium, and belongs to the field of transformer design. The method comprises the steps that a structural hierarchical model of an amorphous alloy three-dimensional roll iron core transformer is constructed based on transformer parameters; inputting the structure layering model into a preset multi-physics field coupling simulation model, calculating iron core no-load loss power and winding load loss power, and determining a simulation temperature field in combination with the amorphous alloy iron core thermal conductivity and a dynamically calibrated boundary convective heat transfer coefficient; according to the sequence of the three-dimensional roll iron core layer, the winding layer and the oil duct layer, hierarchical genetic algorithm optimization is executed to obtain an optimization scheme, iterative simulation is conducted on the optimization scheme until an obtained simulation result meets a first preset condition, and the amorphous alloy three-dimensional roll iron core transformer is constructed based on the determined target structure parameters. And the design rationality and the operation safety of the amorphous alloy three-dimensional roll iron core transformer can be improved.

The invention relates to the technical field of power supplies, and discloses a synchronous rectification control circuit and a synchronous rectification power supply device, and the circuit comprises a power conversion module, an output current sampling module, and a PWM controller. The power conversion module comprises a follow current switch tube which is connected in parallel with two ends of a load. The output current sampling module is connected in series in a secondary winding loop and is used for collecting output current flowing through the secondary winding loop and generating an output current signal; the PWM controller is connected with the output current sampling module and is used for driving the follow current switch tube, the PWM controller is configured to compare the output current signal with a preset threshold value, and when the output current signal is greater than or equal to the preset threshold value, a first group of PWM control signals is generated to drive the follow current switch tube; and when the output current signal is smaller than the preset threshold value, stopping driving the follow current switch tube. According to the invention, no-load loss can be reduced, and the requirements of electronic products for high power density and low loss can be met.

The invention belongs to the technical field of power equipment detection, and discloses a transformer load loss detection method. According to the method, a transformer physical model is constructed, and data obtained by previous tests are utilized to fit an incidence relation between resistance loss and load loss of a specific type of transformer at different environment temperatures; and then acquiring the resistance loss and the ambient temperature of the transformer, and calculating the load loss according to the association relationship to complete the transformer load loss detection. Based on the same inventive concept, the invention further discloses a transformer load loss detection device for realizing the detection. In addition, the invention also provides a non-transitory readable recording medium storing the program of the method and a system comprising the medium, and the program can be called through a processing circuit to execute the method.

The invention belongs to the field of electric power, and discloses a transformer loss optimization method, device and equipment and a storage medium, and the method comprises the steps: taking the minimization of the total loss value of a transformer as a target to construct an optimization function, and the total loss value comprises the no-load loss and load loss of the transformer; generating at least one constraint condition according to the electrical parameter requirement of the transformer, and generating a target function by taking the generated constraint condition as a penalty function and an optimization function; constructing a loss optimization model of the transformer; the loss optimization model is used for determining a target structure parameter combination, and the structure parameters contained in the target structure parameter combination comprise iron core stack thickness, low-voltage winding layer number, high-voltage winding width, high-voltage winding thickness, low-voltage winding width and low-voltage winding thickness; solving the loss optimization model according to a particle swarm optimization algorithm; each particle in the solving process corresponds to a structure parameter combination, and the structure parameter combination which does not conform to at least one constraint condition enables the penalty function value of the penalty function to shift.

The utility model discloses an excitation power supply and a power converter, and relates to the technical field of excitation fusing. According to the excitation power supply, when the switch is switched off, the energy storage element can be charged through the conversion circuit, so that the storage of electric energy is realized. When the switch is closed, the energy storage element can discharge electricity to the excitation fuse connected with the energy storage element through the switch, an ignition tube in the excitation fuse is ignited, and the fusing function of the excitation fuse is further achieved. Namely, the discharge of the energy storage element can satisfy the transient power required by the action of the ignition tube. Moreover, the electric energy received by the ignition tube is stored by the energy storage element instead of being directly output by the conversion circuit; therefore, the output response speed of the excitation power supply is greatly improved, and the rated power of the conversion circuit can be far less than the transient maximum power, so that the volume and no-load loss of the excitation power supply can be greatly reduced, and the cost of the excitation power supply can also be reduced.