349 results about "Soft switch" patented technology

The present invention provides a wind power off-grid hydrogen production power supply topology and control method without a step-down transformer, including: obtaining wind speed data, using a wavelet threshold algorithm for denoising, predicting power based on an LSTM-GRU hybrid neural network, and extracting power fluctuation characteristics through multi-scale entropy analysis; obtaining load data, using Kalman filtering and recursive least squares to establish an impedance model, and extracting dynamic characteristics in combination with Hilbert transform; using a differential evolution algorithm for multi-objective optimization to generate an optimal switching sequence and power allocation strategy; achieving system control through space vector modulation, balanced control, soft switch control and harmonic compensation; achieving state estimation and disturbance suppression based on a sliding mode observer and a nonlinear observer; and achieving fault diagnosis and protection using a deep belief network. The present invention improves system efficiency and reliability and improves dynamic performance.

The invention relates to the technical field of power electronics, and discloses a soft switch of a high-frequency switch transformer and a distributed control method and system thereof, and the method comprises the steps: achieving the precise synchronization of nodes through the construction of a ring topology network, combining the monitoring of multiple physical quantities with the collaborative optimization of parameters, dynamically adjusting the parameters of a resonant network and a driving time sequence, and achieving the precise synchronization of the nodes. A zero-voltage switching state is maintained, and electromagnetic interference is suppressed by adopting the composite optimization model; the system comprises a network initialization module, a multi-physical-quantity monitoring module, a space-time synchronization control module, a resonance parameter adjustment module, an electromagnetic optimization decision module, a dynamic adjustment module and a parameter evolution module. The stability of the soft switch is improved through a distributed network and time-space synchronization, and the loss is reduced by adopting a dynamic optimization algorithm; constructing an electromagnetic interference optimization model to enhance compatibility; performing multi-parameter fusion and weight distribution to optimize dynamic response; the reliability is improved through a high-precision protocol and coevolution; and the tensor product framework realizes multi-dimensional intelligent cooperative control.

The invention discloses a dynamic on-resistance test circuit based on a gallium nitride transistor and a test method thereof. Belongs to the technical field of power electronics. The circuit comprises a DPT test circuit, a switch state switching circuit and a clamping circuit, the test method comprises the following steps: monitoring the voltage between test points on the clamping circuit and the current on the coaxial resistor to obtain the on resistance of the to-be-tested tube; the switching between the hard switching test and the soft switching test is realized by changing the switch interface. According to the invention, a gallium nitride transistor and a clamping circuit are introduced into a traditional double-pulse test circuit, and a dynamic on-resistance test function in a soft switching mode and a hard switching mode is integrated. Compared with a traditional testing circuit, the clamping circuit can capture the dynamic on-resistance within nanosecond time delay, meanwhile, the peak of the clamping voltage is greatly reduced, the testing precision is improved, and rapid and accurate measurement of the dynamic on-resistance is achieved.

The invention discloses a flexible power distribution network interaction energy control method supported by a reconfigurable intelligent soft switch, and the method comprises the following steps: 1, constructing a reconfigurable intelligent soft switch MOP constraint, and building a power flow model of a flexible power distribution system based on the reconfigurable intelligent soft switch support; 2, constructing a power distribution network operator model, and constructing a reconfigurable intelligent soft switch MOP constraint and a power grid operator constraint; step 3, constructing a production and disappearing person model, obtaining a target function of a production and disappearing person, and constructing a production and disappearing person constraint; and 4, carrying out model linearization and relaxation processing. According to the invention, the power flow of the flexible power distribution network based on the reconfigurable intelligent soft switch is accurately regulated and controlled, and the safety guarantee capability is enhanced; a source-load multi-resource refined time sequence space-time coordinated regulation and control model is provided, so that the voltage safety under large-scale distributed photovoltaic access can be guaranteed, and the economy of system operation can be improved, namely the safe and economic operation performance of the system is improved.

The invention discloses a flexible interconnected power distribution network active-reactive optimization method considering electric energy quality requirements, and belongs to the technical field of power distribution network optimization operation. The invention aims to provide the active-reactive optimization method for the flexible interconnected power distribution network considering the electric energy quality demand, which simultaneously optimizes the voltage deviation, feeder balance and network loss of the power distribution network through various control means such as soft switching power regulation participation response. The method comprises the following steps: proposing a flexible interconnection system power quality demand subjective and objective weighting evaluation method through calculation of a flexible interconnection system day-ahead index time sequence value, and proposing a flexible interconnection power distribution network active-reactive power optimization model considering a node comprehensive weight through coordinated operation of a traditional network side resource and an intelligent soft switch. According to the invention, the active-reactive optimization method of the flexible interconnection power distribution network considering the power quality demand is analyzed, the effective cooperation of the flexible interconnection device and the controllable network side resource regulation and control is explored, and the influence on the voltage deviation, feeder balance and network loss of the power distribution network is optimized by multiple control means at the same time; and reference is expected to be provided for guiding optimal scheduling of the flexible interconnected power distribution network.

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 provides a modulation and control method of a bridge arm multiplexing type FSBB-CLLLC bidirectional converter, belongs to the technical field of power electronics, and solves the problems that the modulation method of the bridge arm multiplexing type FSBB-CLLLC converter is not clear, the working principle is not clear, and the efficiency is reduced due to the fact that soft switching implementation is complex. The main circuit topology is divided into different bridge arms; different working modes of the converter during forward and reverse operation are researched by combining a bridge arm phase shift angle and a duty ratio; researching and solving the relationship between the inductive current and the phase shift angle of the converter by combining a modulation method and a soft switching condition, and establishing a three-dimensional table; according to different input and output voltage requirements, the duty ratio is determined, the optimal phase shift angle is determined after table look-up, and full-switching tube soft switching of the FSBB-CLLLC converter under voltage stabilization control is achieved.

The invention relates to a flexible scheduling method and device for soft switch resources of a cloud native architecture, equipment and a medium. The method comprises the following steps: performing feature extraction and marking on computing nodes, storage resources and network resources by using a resource classification model to generate a resource tag library representing initial classification of each resource, extracting resource feature data from a resource tag library based on each resource initial classification, generating current supply and demand data in combination with resource use state data collected in real time, calculating a resource allocation priority sequence by using a multi-objective optimization algorithm fusing service response time and cost balance optimization parameters, and generating a preliminary sorting result; and detecting a resource supply and demand imbalance state based on the preliminary sorting result and the resource supply and demand change data flow monitored in real time, if the imbalance state is detected, executing resource allocation adjustment calculation based on the current supply and demand data, and generating a preliminary resource allocation scheme, thereby realizing flexible scheduling and optimal allocation of soft switch resources under the cloud native architecture.

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.

The invention provides a three-phase imbalance treatment method, device, system, equipment, medium and product, an operation optimization model is adopted, the operation optimization model relates to commutation soft switching constraints and reactive compensation constraints, and a solution for indicating actions of a reactive compensation device and a commutation soft switching is calculated by minimizing an objective function of the operation optimization model. Therefore, three-phase imbalance treatment is carried out through cooperation of the reactive power compensation device and the phase-change soft switch. Due to the addition of the commutation soft switch, the three-phase imbalance treatment response speed is greatly increased; based on the algorithm processing, the topology and commutation soft switch replaces a traditional interconnection switch to be connected between the two transformer areas of the power distribution network, so that interconnection and mutual assistance between the transformer areas can be considered in three-phase imbalance treatment; moreover, the key voltage treatment target of voltage deviation is considered in the operation optimization model, so that the voltage of the power distribution network does not exceed the allowable range of the national standard in a high-permeability distributed power supply scene.

The invention belongs to the technical field of power distribution, and discloses a direct current transformer soft switch and a control method.The direct current transformer soft switch comprises a medium-voltage direct current bus and low-voltage direct current buses, the medium-voltage direct current bus is electrically connected with a modular multi-level multi-port direct current converter, and the modular multi-level multi-port direct current converter is electrically connected with a plurality of low-voltage direct current converters; the plurality of low-voltage direct-current converters are electrically connected with a low-voltage direct-current bus and are used for realizing bidirectional power transmission from medium-voltage direct current to low-voltage direct current; according to the method, the medium-voltage side inductance value is reduced, the medium-voltage side current ripple is enabled to pass zero, the M3DC operates in an approximate critical conduction mode, a constant valley current control strategy is adopted, the minimum value of the medium-voltage side inductance current is controlled to be constant under different working conditions, and then zero-voltage switching-on of a switching device in a wide operation range and zero-current switching-off of an anti-parallel diode are achieved.

The utility model provides a single-stage wide-input soft switching resonant power supply conversion device. The single-stage wide-input soft switching resonant power supply conversion device is characterized by comprising a Buck-Boost circuit and an LLC circuit, the Buck-Boost circuit comprises a switching tube Q1 and a switching tube Q2, and one switching tube Q2 is multiplexed as a lower tube of the LLC circuit. The single-stage wide-input soft switching resonant power supply conversion device is small in stress, has obvious advantages in thermal design and efficiency, and is more convenient for product development in practical application.

The invention discloses a soft switching HERIC non-isolated inverter and a modulation method thereof, and belongs to the technical field of inverters, the inverter comprises a bridge arm circuit, a clamping circuit, a resonance circuit, a voltage stabilizing circuit and a filter circuit, the resonant circuit comprises a first auxiliary switch tube, a second auxiliary switch tube, a third auxiliary switch tube, a fourth auxiliary switch tube, a first resonant inductor, a second resonant inductor, a first resonant capacitor and a second resonant capacitor; all high-frequency switches realize zero-current turn-on and turn-off at the same-direction stage of the voltage and the current of the power grid through the resonance circuit; all the high-frequency switches also realize zero-current switching on and switching off in the voltage and current reverse phase of the power grid; according to the modulation method, unipolar PWM modulation is adopted, the grid-connected current harmonic distortion rate is reduced, the grid-connected electric energy quality is improved, and the application value and prospect are huge.

The invention discloses an elastic power distribution network multi-type remote control switch and soft switch combined planning method, which relates to the field of power distribution networks and comprises the following steps: step 1), establishing a target function with the minimum sum of investment cost of a soft switch and a multi-type remote control switch and power loss cost in a fault; 2) establishing a power distribution network operation model considering multiple stages of active island, degradation, fault isolation and fault recovery and protection constraints; and step 3), converting the operation model into a mixed second-order cone integer programming model by adopting a quadratic term linearization method to solve the mixed second-order cone integer programming model. According to the method, multiple actually existing remote control switches and protection constraints are innovatively coordinated in multiple stages, and the capability of the distribution network for resisting disasters is effectively improved.

The invention provides a power distribution network post-disaster intelligent recovery method and device based on a RainbowDQN algorithm. The method comprises the steps of obtaining a power distribution network model and a preset N-3 fault combination, and constructing a Markov decision environment model of a power distribution network load recovery task when a line has an N-3 fault; setting a target function and a constraint condition of the Markov decision environment model; training an intelligent agent in the Markov decision environment model by adopting a RainbowDQN algorithm added with a self-adaptive action mask to obtain a trained intelligent agent; and parameter information of the power distribution network with the N-3 line fault is transmitted to the trained intelligent agent, and the intelligent agent outputs a load recovery strategy of the power distribution network with the N-3 line fault. According to the method, the flexible soft switching technology is utilized to quickly isolate an affected area when a fault is caused by a natural disaster, so that the risk of fault diffusion is reduced, the power supply grid is quickly subjected to necessary topological adjustment after the disaster, and efficient distribution of power support after the disaster is realized.

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 invention provides a soft switching control method, device and system of a converter and a readable storage medium, and the method comprises the steps: calculating a first modulation parameter of the converter, and generating a plurality of first target driving signals based on the first modulation parameter, so as to control the connection or disconnection of a corresponding first target switching tube through each first target driving signal, the closed-loop control of the output voltage and the input current of the converter is realized; calculating a second modulation parameter of the converter after closed-loop control based on the first modulation parameter; wherein one of the first modulation parameter and the second modulation parameter is a modulation ratio, and the other one is a phase shift ratio; generating a plurality of second target driving signals based on the second modulation parameter; wherein the driving signal corresponding to the modulation ratio is used for controlling each switching tube of the matrix circuit to be switched on or switched off, and the driving signal corresponding to the phase shift ratio is used for controlling each switching tube of the full-bridge circuit to be switched on or switched off. By implementing the scheme of the invention, soft switching of all switching tubes within a full voltage range and a full load range can be realized.

The invention discloses an electronic flexible soft switch interface position site selection and capacity configuration method and device, relates to the technical field of power systems, and is used for solving the technical problem of poor overall reliability of a power distribution network caused by the existing electronic flexible soft switch interface position site selection and capacity configuration method. The method comprises the following steps: acquiring wind and light output historical data and power distribution network historical fault data, and constructing a wind and light output fuzzy set by adopting a preset measurement tool according to the wind and light output historical data; adopting a Monte Carlo sampling method to construct a power distribution network fault scene according to the historical fault data of the power distribution network; taking the minimum sum of the annual investment cost of the electronic flexible soft switch and the annual load loss cost of the power distribution network as a target, and constructing upper and lower layer models according to upper and lower layer planning operation constraint conditions; and based on a power distribution network fault scene, solving the upper-layer model and the lower-layer model by adopting a particle swarm algorithm and a column and constraint generation algorithm according to the wind-light output fuzzy set, and generating an electronic flexible soft switch interface location selection and capacity configuration scheme.

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 provides a power grid fault distribution and micro collaborative recovery method and device, and belongs to the field of power grids. The method comprises the steps of obtaining current operation parameters of a power grid system; considering the influence of the intelligent soft switch, determining constraint conditions based on operation parameters, and establishing a fault recovery model; and solving the fault recovery model by taking the lowest total cost for completing the power support as an objective function to obtain a fault recovery control strategy. According to the power support, the intelligent soft switch is considered, and the fault recovery model is established by considering the influence of the intelligent soft switch, so that the fault recovery control strategy is more reasonable, the power support distribution is more uniform, and the post-disaster power distribution network recovery efficiency is improved.

The invention discloses a real-time voltage-reactive power control method for a high-permeability photovoltaic flexible power distribution system, and the method comprises the steps: 1, considering the real-time response function of an inverter, and building a droop control model of the inverter; 2, flexible power distribution system regulation and control equipment is arranged, the flexible power distribution system regulation and control equipment comprises a topology variable intelligent soft switch and a photovoltaic device, and models of all kinds of equipment are established according to the flexible power distribution system regulation and control equipment; and 3, based on the models in the step 1 and the step 2, establishing a real-time voltage-reactive power control model containing the high-permeability photovoltaic flexible power distribution system, and by solving the model, outputting a real-time optimization control scheme of the flexible power distribution system. According to the method, the transmission capacity of the flexible power distribution system and the photovoltaic strong randomness are comprehensively considered, and a certain reactive power and a droop control function of the inverter are reserved through the topology variable intelligent soft switch, so that the real-time voltage safety and stability of the system are guaranteed.

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.

The present invention discloses a high-precision four-quadrant source-carrying device, including a power amplifier pair consisting of an NPN bipolar transistor and a PNP bipolar transistor, and the two bipolar transistors use the same control baseline. The control baseline is connected with a three-stage amplifier circuit, using an NPN transistor 2SC1845 and a PNP transistor 2SA992 as the first-stage power amplifier circuit, using an NPN transistor 2SC4027 and a PNP transistor 2SA1552 as the second and third-stage power amplifier circuits, and using two 1n4148 diodes as modulation diodes of the main control signal. Bidirectional voltage and current output is achieved, and a four-quadrant working mode in which output power and absorption power are combined is achieved; a diode control modulation scheme is used to control the power control tube, and continuous zero-crossing output is achieved; a soft switch control scheme is adopted to achieve reliability and safety of the device.

The invention discloses a single-stage AC-DC converter soft switching modulation method based on frequency conversion, and belongs to the field of electronic power, and the method comprises the steps: selecting a full-bridge part of a single-stage AC-DC converter as a modulation mode of dual PWM and phase shift; circuit parameters, such as high-frequency frequency, inductance and the like, of rated working conditions are designed, and soft switching of all switches is achieved; and frequency conversion is adopted in a power frequency period, so that the maximum current ripple is reduced, and the efficiency is improved. Soft switching is realized through circuit parameters and a modulation method, and ripple minimization on the basis of soft switching is realized through a frequency conversion strategy; according to the method, control is simple, independent decoupling control for maintaining output power, alternating current sine output and bus voltage stability is achieved, and for application occasions pursuing high efficiency and high power density, the switching loss can be effectively reduced, the efficiency of the converter is improved, and meanwhile the operation stability and control accuracy of the converter are improved.

The invention provides a modulation mode switching synchronous rectification soft switching buck type constant voltage power supply which comprises an input filter circuit, a power inductor L1, an output filter circuit, a main switch tube Q1, a synchronous rectification tube Q2 and a control circuit. The left end of the power inductor L1 is connected to the source electrode of the main switch tube Q1 and the drain electrode of the synchronous rectifier tube Q2, the right end of the power inductor L1 is connected to the positive electrode of the output capacitor, the drain electrode of the main switch tube Q1 is connected to the positive electrode of the input capacitor, and the source electrode of the synchronous rectifier tube Q2 is connected to a reference ground through a power inductor current sampling resistor RS1; and the control circuit respectively controls the on-off states of the main switch tube Q1 and the synchronous rectifier tube Q2 so as to realize zero-voltage conduction of the synchronous rectifier tube Q2. Through the characteristics of different modulation modes, light-load and heavy-load modulation mode switching and synchronous rectifier tube soft switching are realized, and the loss of the switching power supply under different conditions is 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 application discloses a single-stage bidirectional power conversion topology structure capable of realizing wide-range soft switching and a control method thereof. The bridge-in and bridge-between phase shift control of a double half-bridge circuit and a high-frequency switch matrix provides a basis for realizing soft switching of all power tubes. The soft switching of a wide voltage variation range is realized by real-time adjustment of a switching frequency according to the size of a port voltage. The bridge arm current connected with the primary side of a second transformer is the sum of the primary side current of the second transformer and the inductance current connected with the primary side of the second transformer in parallel. By designing the inductance value of the parallel inductance connected with the primary side of the second transformer, the bridge arm current connected with the primary side of the second transformer can be effectively changed, so that the soft switching realization range of the switching tube of the bridge arm connected with the primary side of the second transformer under the wide power transmission range can be expanded.

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 relates to an intelligent energy storage soft switching configuration method considering refined photovoltaic power generation potential evaluation. The method comprises the following steps: constructing a photovoltaic power generation potential evaluation model based on a physical model chain; constructing an intelligent energy storage soft switch model; and configuring the obtained intelligent energy storage soft switch model. An energy storage device is integrated to a direct current port of an SOP, an intelligent energy storage soft switching device model is constructed, a power distribution network has space-time flexible adjustment potential, an intelligent energy storage soft switching configuration method considering photovoltaic power generation potential evaluation is provided, a space power transfer-time energy scheduling two-dimensional cooperation mechanism of an E-SOP is utilized, and the power distribution network is optimized. And the energy production and elimination among the regions are balanced, so that the random fluctuation of the source and load sides of the power distribution network can be better relieved.