186 results about "Soft switch" patented technology

The invention discloses a new energy automobile wireless power supply soft switching control system based on a segmentation strategy, and particularly relates to the technical field of new energy automobile wireless power supply, and the control system comprises a resonance current zero-cross detection module which detects a resonance current output square wave signal of a resonance network in real time; the segmented control decision module is used for selecting a strong control strategy or a weak control strategy according to a comparison result of the smoothed frequency difference value and a preset threshold value; the segmented control execution module is used for adjusting the inverter driving frequency by adopting a corresponding control algorithm according to the output of the segmented control decision module; according to the new energy automobile wireless power supply soft switching control system based on the segmentation strategy, the segmentation control logic and the model and algorithm of the special module are designed, so that the driving frequency of the new energy automobile is adjusted, and the driving frequency of the new energy automobile is adjusted to be within the preset frequency locking range. And wide-range frequency locking, rapid dynamic correction and high-precision steady-state control are realized.

The invention relates to a power distribution network optimal configuration method for a high-proportion distributed new energy access scene, and the method comprises the steps: obtaining the basic data of a power distribution network, and constructing a bearing capability evaluation index system; a robust optimization evaluation model considering the uncertainty of the source load is constructed, and the critical bearing capacity is solved in combination with a bearing capacity evaluation index system; based on the critical bearing capacity, energy storage, SOP intelligent soft switching and DR demand side response are sequentially configured, an updated power distribution network state is obtained, whether convergence conditions are met or not is judged, and if yes, an optimal configuration scheme including current energy storage, SOP and DR configuration and the current critical bearing capacity is output; otherwise, returning to re-optimize. Compared with the prior art, the power distribution network can safely and efficiently consume the high-proportion distributed new energy, and the bearing capacity of the power distribution network is effectively improved.

According to the PCIe Switch system and the PCIe switch, a PCIe hardware IP is used as a bottom layer, and a basic PCIe interface function for physical layer and link layer management is provided; and identifying and configuring all connected devices to construct a device address routing mapping table through a Soft Switch IP mounted on the PCIe hardware IP, and determining a specific target of data transmission based on the constructed mapping table so as to route the data to a specific position of the corresponding device. According to the invention, flexible equipment enumeration can be carried out by selecting a pure hardware mode or a software and hardware combined mode according to actual requirements, so that the data can be correctly and efficiently transmitted to the target endpoint from the source equipment, and the complex problems of address resolution and routing management are solved. Compared with the prior art, the method can replace the existing PCIe Switch IP of a manufacturer, provides higher flexibility and expansibility, obtains better balance in the aspect of cost control, and is suitable for various applications needing large-scale PCIe equipment connection, virtualization and high-speed data exchange.

The present invention discloses a method for siting and sizing a flexible soft switch of a distribution network based on mixed second-order cone programming, including: acquiring interconnected flexible distribution system data; establishing and optimizing, based on the interconnected flexible distribution system data and an interconnected flexible distribution system constraint, a flexible soft switch siting and sizing model with a minimal daily comprehensive operation cost as an objective; and acquiring an optimal flexible soft switch siting and sizing solution by using combination of an improved sparrow algorithm and second-order cone programming to solve. The present invention is both reliable and economic.

The invention discloses a method for improving the toughness of a power distribution network containing an energy storage type flexible soft switch in a fault state, and belongs to the field of power systems and automation of the power systems, and the method comprises the steps: extracting time sequence data and fault information of a distributed power supply and a load; according to the method, an integrated optimization model integrating fault isolation, multi-stage dynamic maintenance, network reconstruction and energy storage type flexible soft switch cooperation is constructed, minimization of whole-process power loss and branch and device loss is taken as a target, and multiple constraints including time sequence balance, device operation, maintenance resources and decoupling power flow are taken into consideration. Wherein the energy storage type flexible soft switch realizes cross-period energy time shifting through an embedded energy storage system; and a mixed integer second-order cone programming algorithm is adopted to carry out rolling solution, and island division, a maintenance sequence and a device operation strategy are synchronously optimized in each stage. According to the method, global coordination and space-time energy management of the multi-stage recovery process can be realized, and the power supply recovery capability and toughness of the power distribution network under the extreme fault are remarkably improved.

The invention discloses an energy storage type intelligent soft switch double-layer optimization site selection method based on improved whale algorithm and second-order cone programming cooperation, and belongs to the technical field of power distribution networking and optimization operation, and the method comprises the steps: collecting and preprocessing the basic data of a power distribution network; a double-layer optimization model with the minimum daily operation cost of the system as the target is established, the upper layer takes the installation position of the energy storage type intelligent soft switch as a decision variable, and the lower layer takes the three-port power transmission value as a decision variable and constructs constraints based on the power flow equation after second-order cone relaxation and the energy storage operation limitation; an upper layer site selection problem is solved by adopting an improved whale optimization algorithm introducing a self-adaptive inertia weight, a lower layer operation problem is solved by adopting a second-order cone programming method, and collaborative optimization is realized through double-layer interaction. According to the method, global collaborative optimization of planning and operation is realized, the solving precision and efficiency of the site selection problem are improved, and the system operation cost and the network loss are effectively reduced.

According to the power distribution network flexible networking planning method and system based on closed-loop optimization operation, based on a topological structure of an intelligent soft switch in a power distribution network, the weighted sum of an active power smoothness index and a reactive power supporting capability index is used as a flexible scheduling index; taking the weighted sum of the voltage deviation index and the power balance index as a closed-loop operation optimization index; taking the weighted sum of the flexible scheduling index and the closed-loop operation optimization index as an intelligent soft switch operation optimization target; establishing a target function of a multi-target optimization model based on the investment cost, the comprehensive operation cost and the operation optimization target of the intelligent soft switch in combination with the voltage quality index and the load balancing index of the power distribution network; power distribution network constraint conditions and active power constraints, reactive power constraints and capacity constraints of the intelligent soft switch are used as constraints of the multi-objective optimization model; and solving the multi-objective optimization model to obtain a flexible networking planning scheme of the power distribution network, thereby improving the operation efficiency, economy, safety and flexibility of the power distribution network.

The invention provides a flexible distributed energy network multi-agent collaborative optimization method based on MARL, and the method comprises the steps: building a distributed energy network multi-agent interaction framework which comprises a local energy transaction model for distinguishing an intelligent soft switching path, a network cost model based on a power transmission distribution factor, and a power distribution network operator and user income model; a physical system operation constraint model is established and covers intelligent soft switch operation characteristics, network topology radial constraint, energy storage charging and discharging dynamic states, controllable distributed power supply and photovoltaic output limitation, translational load scheduling and DistFlow power flow constraint. And finally, constructing a collaborative optimization mechanism based on a multi-agent near-end strategy optimization algorithm, modeling the system into a partially observable Markov decision process, adopting a centralized training distributed execution framework, and guaranteeing transaction security and data privacy through block chain evidence storage, RSA encryption and an intelligent contract. The system economy and the operation flexibility are improved.

The invention discloses a multi-mode electric energy conversion system and a method thereof, and relates to the technical field of power electronic conversion, the system comprises a signal acquisition module, a mode discrimination module, a soft switching control module and a switching execution module, the signal acquisition module acquires an input voltage, an output voltage, a load current and a switching tube temperature signal; the mode judgment module determines a target working mode according to an input voltage interval and a load rate interval, dynamic switching among a full-bridge phase shift mode, a half-bridge mode and an interleaving parallel mode is achieved, the soft switching control module generates a soft switching time sequence signal, a main power switch tube is enabled to achieve zero-voltage switching, and the main power switch tube is enabled to achieve zero-voltage switching. The switching execution module adopts a current ramp control strategy to execute mode switching, the switching time is less than 5ms, the voltage fluctuation is less than 3%, and the global efficiency is greater than 95% and the peak efficiency is greater than 98% under the conditions of wide voltage and wide load.

The invention discloses a locating and sizing method and device for an intelligent soft switch in a power distribution area, terminal equipment and a storage medium, and belongs to the field of power distribution network optimization. The method comprises the following steps: constructing a bilevel planning model, a power distribution network operation constraint and an energy storage equipment constraint according to electrical parameters, distributed energy parameters, energy storage parameters and cost data; by taking the minimum total operation cost of the system as a target, repeatedly executing a locating and sizing optimization operation on the bilevel programming model until a preset number of iterations is reached, and obtaining the installation position and the installation capacity of the intelligent soft switch; the optimization operation comprises solving the current installation position and capacity of an upper-layer intelligent optimization model of the bilevel planning model; if the preset number of iterations is reached, the final installation position and capacity are determined; and if not, inputting into a lower-layer operation scheduling model to construct intelligent soft switch operation constraints, solving the lower-layer model under the three constraints, and updating the total operation cost of the current system. According to the invention, the problem of multi-zone-area multi-intelligent soft switch collaborative optimization in the prior art is solved.

The embodiment of the invention provides an intelligent power grid voltage stability control method, which comprises the following steps: acquiring real-time data of a multi-source load, constructing a load prediction model based on historical load data and real-time acquired data, and calculating a load prediction deviation rate; analyzing impedance ratio change characteristics of the power distribution network, and identifying dynamic voltage sensitive regions in different operation states according to the impedance ratio change characteristics; dynamically adjusting coupling output parameters of active power and reactive power of the intelligent soft switch based on the load prediction deviation ratio and the dynamic voltage sensitive area; and optimizing the power flow distribution of the power distribution network in real time according to the output parameter change of the intelligent soft switch so as to inhibit the voltage sudden rise and voltage sudden drop at the tail end of the power distribution network. According to the scheme of the embodiment of the invention, cooperative regulation and control can be carried out on active-reactive coupling output of the intelligent soft switch so as to solve the problem of terminal voltage sudden rise / sudden drop caused by bidirectional power flow of the power distribution network.

The invention discloses a flexible interconnected power distribution network fault recovery method and a related device. The method comprises the following steps: constructing a loss model of an energy storage type intelligent soft switch; generating a typical photovoltaic output scene in combination with a principal component analysis method and a K-means clustering algorithm; establishing a target function with minimum weight of recovery load and system loss as a target, and constructing constraint conditions to obtain a fault recovery model of the flexible interconnected power distribution network; and in combination with second-order cone programming and an improved sparrow search algorithm, solving the fault recovery model of the flexible interconnected power distribution network to obtain a power supply scheme which is used for fault recovery of the flexible interconnected power distribution network. The method has a good power supply recovery effect, the influence of the DG permeability on power distribution network fault recovery is considered, and reliable technical support is provided for power distribution network planning and operation.

The application relates to the technical field of power distribution networks of power systems, and discloses a fault post-recovery control method for a power distribution network containing flexible soft switches, which comprises the following steps: after a fault occurs, the original main station converter is exited, the active power, the reactive power and the rated capacity of the remaining converters are collected to calculate the dynamic capacity margin, the electrical distance from each converter node to the load center of the system is calculated, the comprehensive score is obtained based on the capacity margin and the electrical distance weighting, the converter with the highest comprehensive score and the capacity margin greater than the preset threshold is selected as the new main station, and the control mode of the new main station is switched; the main station selection mechanism based on the comprehensive evaluation of the dynamic capacity margin and the electrical distance is used to quickly establish a stable voltage frequency reference for the power failure area, the load shedding penalty sub-target and the load hierarchical and phased recovery strategy are used to preferentially guarantee uninterrupted power supply for the first important load under the condition that the transfer supply capacity is limited, and the influence of power failure on sensitive users is effectively reduced.

The invention discloses a gallium nitride soft switching high-voltage Buck voltage converter, belongs to the technical field of switching power supplies, and solves the problems of large device switching loss, high thermal stress, large voltage peak and high-frequency oscillation caused by a switching capacitor link in a traditional high-voltage Buck switched capacitor voltage converter by introducing an auxiliary soft switching link. The efficiency and the reliability of the system are improved; furthermore, by introducing a double-phase interleaving parallel structure, the current output capability of the power supply is improved, and the application in a higher power scene can be realized; meanwhile, by adopting the gallium nitride transistor, compared with the traditional scheme, the switching frequency is improved, the size of a passive element is reduced, the integration level of a PCB is improved, the parasitic parameters of the system are reduced, the dead time and the duty ratio loss are reduced, and the system efficiency and the power density are further improved.

The invention provides a wireless electric energy transmission system and a control method, relates to the technical field of wireless electric energy transmission, and is used for realizing soft switching irrelevant to the load weight and the coupling coefficient so as to improve the system efficiency and reduce the thermal runaway risk. The wireless power transmission system comprises an inverter, a magnetic coupling structure, a rectifier and a controller, the input end of the inverter is electrically connected with the direct-current power supply end, and the output end of the inverter is electrically connected with the input end of the magnetic coupling structure; the input end of the rectifier is electrically connected with the output end of the magnetic coupling structure; the output end of the rectifier is connected with a load; the control end of the controller is electrically connected with the control end of the inverter; and the controller is configured to collect the voltage of the input end of the magnetic coupling structure in real time, compare the voltage with a preset upper threshold voltage and a preset lower threshold voltage, and output a driving signal according to a comparison result to control the on and off of the inverter, so that the inverter realizes zero-voltage switching in a full-power range.

The invention discloses a bidirectional DC-AC converter control method considering a soft switching condition and current optimization. According to the invention, the switching loss of the converter is reduced by optimizing the phase shift angle and the switching condition of the converter, and the energy transmission efficiency is optimized by minimizing the effective value of the current, so that the performance of the whole sodium battery energy storage system is improved. Specifically, based on the relation between the excitation inductance Lm and the current effective value Iprms, the phase shift angle of the converter is accurately controlled, the current transmission efficiency is optimized, and it is ensured that the zero-voltage switching condition of a primary side bridge arm and a secondary side bridge arm can be achieved in the working process, so that the loss of the converter is remarkably reduced, and the energy conversion efficiency is improved.

The invention discloses a flexible power distribution system planning method and system based on a long-short time energy storage type soft switch. The method comprises the following steps: establishing a source-network-load-storage cooperative operation framework of a flexible power distribution system; constructing a long-short time energy storage type soft switch model, wherein the long-short time energy storage type soft switch model is formed by integrating an energy type energy storage unit and a power type energy storage unit to a direct current side of a soft switch; an integrated planning model of the flexible power distribution system is established, wherein the integrated planning model comprises configuration and operation constraints of source side, network side, load side and storage side equipment based on a collaborative operation framework, and an optimization objective function with the purpose of minimizing the total cost of the whole life cycle of the system; and solving the integrated planning model, and determining an optimal configuration capacity and an operation strategy of each device in the system. Through the introduction of the long and short time energy storage type soft switch, although the early equipment investment is increased, the total cost of the scheme is reduced in the whole planning period due to the operation benefit brought by the long and short time energy storage type soft switch.

The invention discloses a reactive power optimization control method suitable for a series resonance dual active bridge, relates to the technical field of power electronic converter control, and solves the problem that an effective compensation scheme is not provided for an incomplete soft switching problem caused by dead time in the prior art. And the requirement of all-working-condition efficient operation in engineering application is difficult to meet. Based on triple phase shift control, the optimal phase shift angle combination is accurately solved through the power factor Lagrange function and the KKT condition, the reactive power of the primary side or the secondary side can be counteracted in a targeted manner, and the energy circulation of the resonant cavity is effectively inhibited; meanwhile, soft switching boundary analysis and critical phase compensation are combined, so that zero-voltage switching of all main switching tubes in a full-voltage gain and full-load range can be ensured, and switching loss is reduced; and a mode switching mechanism is designed in control logic to adapt to dynamic working condition response requirements, so that the energy transmission efficiency and working condition adaptability of the series resonance dual-active bridge converter are greatly improved.

The invention relates to the technical field of power systems, and particularly discloses a medium-low voltage collaborative optimal control method for an active power distribution network based on double-layer reinforcement learning. Historical data of distributed photovoltaic output, key node voltage, power flow reverse transmission rate of a transformer in a transformer area, tap state of a medium-low voltage transformer, port power of a medium-voltage intelligent soft switch and network loss are collected through a measuring device; training a two-stage neural network based on historical data; taking the two-stage neural network as a reinforcement learning off-line training environment, and constructing a double-layer Markov game model; and deploying the trained agent parameters to medium and low voltage control terminals to realize medium and low voltage multi-target cooperative control containing multiple types of adjusting devices. The method has the advantages that the double-layer reinforcement learning algorithm integrated with the attention mechanism is proposed to solve the multi-time scale equipment regulation and control problem, the sum of lower-layer agent rewards serves as a part of an upper-layer agent, and active power distribution network medium-low voltage collaborative optimal control is achieved.

The invention discloses a stable control method, system and device for an intelligent soft switch and a storage medium, and the method comprises the steps: obtaining system parameters of the intelligent soft switch, and building an impedance model of a DC side of the intelligent soft switch according to the system parameters of the intelligent soft switch; calculating the stability margin of the DC side of the intelligent soft switch based on the impedance model of the DC side of the intelligent soft switch; judging the stability margin, and introducing a stabilizer into a control loop of the intelligent soft switch according to a judgment result; the parameters of the stabilizer are set, the stability margin of the direct current side of the intelligent soft switch is recalculated until the judgment condition is met, stable control over the intelligent soft switch is achieved, and the method has great significance in improving the overall performance of the flexible interconnection power distribution network.

The present application belongs to the field of electric digital data processing, and particularly relates to a load replacement attack defense method and device based on topology switching and power flow regulation. The defense method solves the optimal joint deployment strategy by constructing a double-layer Stackelberg game model for cooperatively defending the load replacement attack by integrating intelligent soft switches and remote control switches, wherein the upper defense model plans to comprehensively consider the constraint conditions such as voltage regulation, power flow balance, radial network structure and continuity, so as to minimize the equipment investment-operation cost and voltage out-of-limit index; in the lower attack model, the optimal attack strategy of the resource-limited attacker is generated under the given defense strategy of the defender to maximize the voltage deviation. The problems that the traditional topology switching-based defense method has response lag, limited regulation capacity, and the mitigation strategy of deploying only intelligent soft switches faces high deployment cost and poor defense effect are solved.

The application discloses a kind of flexible power distribution network distribution robust operation method and system. Including: according to electric vehicle charging load parameter information and intelligent soft switch parameter information, construct the operation constraint of electric vehicle aggregator based on virtual energy storage;According to flexible power distribution network parameter information and electric vehicle aggregator operation constraint, establish flexible power distribution network deterministic operation optimization model;Distributed photovoltaic and electric vehicle uncertainty scenario set are constructed;According to distributed photovoltaic and electric vehicle uncertainty scenario set and flexible power distribution network deterministic operation optimization model, establish the distributed robust optimization model of considering distributed photovoltaic and electric vehicle uncertainty of flexible power distribution network;Flexible power distribution network distribution robust optimization model is solved, and flexible power distribution network operation strategy data are obtained. It can effectively reduce the mismatch between the amount of power supply and the actual electric vehicle power demand under uncertain environment, while meeting the demand of electric vehicle users, ensure the economic and efficient operation of distribution network.

The invention relates to a vehicle large screen soft switching control method and device, a vehicle and a medium, and the method comprises the steps: generating a first function enabling signal based on an operation signal of large screen soft switching under the condition that a target function corresponding to the operation signal is allowed to be executed; judging whether the target function is allowed to be executed or not based on the enabling confirmation signal, and generating a second function enabling signal when a comparison result of a judgment result and the first function enabling signal meets a preset comparison condition; sending a clock response signal to a preset control component, and if a clock feedback signal fed back by the preset control component is received in a preset time window, generating a third function enable signal; and according to the first function enable signal, the second function enable signal and the third function enable signal, triggering or forbidding execution operation on the target function. Therefore, the problem of potential safety hazards caused by unexpected opening or closing of functions due to component faults in the prior art is solved, and the function safety and the driving safety of the cabin system are improved.

The invention discloses an active power distribution network flexibility improvement method and system based on intelligent soft switch optimization, and the method comprises the steps: firstly constructing a network flexibility evaluation framework, and then constructing a deterministic planning model of intelligent soft switch optimization configuration based on an obtained flexibility evaluation index. Based on the deterministic planning model, introducing a scene-based maximum and minimum regret value method, and constructing an intelligent soft switch optimal configuration robust planning model; and finally, solving and verifying the model. According to the method, the maximum permeation capacity range of renewable energy is defined as a flexibility index, and the uncertainty of a new energy high-permeation scene can be more efficiently adapted; the economy and the flexibility of the power distribution network are considered through dual-objective optimization; the robust method based on the scene is adopted for solving, all considered renewable energy output fluctuation scenes can be covered, it is ensured that the obtained scheme has feasibility under various fluctuation working conditions, and the operation stability and the anti-interference capacity of the power distribution network are remarkably improved.

The invention discloses a typhoon pre-disaster and post-disaster interconnected power distribution network recovery method based on a reconfigurable soft switch, and the method comprises the steps: considering the power support function of an electric bus in a pre-disaster stage, combining the reconfigurable soft switch with the port topology cooperative change of the interconnected power distribution network, building a pre-disaster deployment model of the electric bus, and carrying out the power support function of the electric bus; therefore, the parking position of the electric bus before the fault occurs is determined; in the post-disaster stage, the uncertainty of renewable energy sources and loads in continuous faults and recovery of the interconnected power distribution network is considered, an event-driven recovery model is constructed by defining fault events and predicting error events through an event-driven mechanism, and therefore an interconnected power distribution network fault recovery strategy is obtained to promote fault recovery of the interconnected power distribution network. According to the invention, fault deduction can be carried out before disasters, potential power-losing loads are reduced, and power supply recovery after disasters is accelerated; in the post-disaster continuous fault state, strategy updating can be triggered in real time, and the method adapts to fault evolution and uncertainty of renewable energy sources and loads.

The invention provides an optimal phase shift parameter design method based on a switch multiplexing type multi-resonant switched capacitor, and the method comprises the steps: determining a control parameter combination according to the value interval of a preset phase shift ratio and a preset frequency ratio; determining resonance network hardware parameters according to the preset target equalization power and the preset resonance frequency; according to a preset soft switching constraint condition, verifying a parameter set composed of all control parameter combinations and resonance network hardware parameters; if the parameter set meets the preset soft switching constraint condition, taking the parameter set as an element of a feasible solution set; screening a parameter set with the minimum root mean square value of the resonance current according to the feasible solution set; and according to the parameter set with the minimum root-mean-square value of the resonance current, screening the parameter set with the minimum peak value of the resonance current as an optimal working point. According to the invention, through collaborative optimization of multiple performance indexes, on the premise of following the soft switching constraint, the switching loss and the operation loss of the switching tube are reduced, and the overall efficiency and the reliability of the equalizer are improved.

According to the present invention, a control device performs soft switching more reliably without directly controlling a plurality of switches for zero-voltage soft switching. A control device (51) sets a second dead time period. A signal generation circuit (52) generates, for each of a plurality of switches (8), a control signal that has a high-level period corresponding to the second dead time period. The control device (51) carries out a first operation and further carries out a second operation if the duty cycle command value of one phase among the duty cycle command values of three phases in a two-phase modulation system is fixed to a constant value, or the duty cycle command value of one phase among the duty cycle command values of three phases in a three-phase modulation system is fixed to a constant value, and it has been determined that resonant currents corresponding to two respective switching circuits (10) among a plurality of switching circuits (10) are simultaneously flowing through a resonance inductor (L1).