415 results about "Virtual power" patented technology

The invention discloses a virtual power plant intelligent regulation and control method and system based on artificial intelligence, and belongs to the technical field of electric power system intelligent regulation and control, and the virtual power plant intelligent regulation and control method based on artificial intelligence comprises the following steps: S1, aggregating equipment side data, desensitizing to generate topological codes, and constructing time scale matrix synchronization; s2, constructing a dynamic model by equipment parameters, and mapping real-time data to output a difference map; s3, adding equipment constraints, building a multi-objective function, optimizing a strategy and performing correlation analysis; s4, a wind and light fluctuation overrun trigger RL strategy and an abnormal switching base line generate a mixed instruction; s5, locally verifying the instruction, and correcting and feeding back parameters if the prediction is out of limit; s6, generating a three-dimensional thermodynamic diagram, and displaying an association report and a historical record by AR; s7, aggregating the data to reconstruct the training set, locally fine-tuning the strategy network and performing incremental updating; the method has the beneficial effects that the regulation and control pain point of the virtual power plant is systematically solved, the operation and maintenance cost is reduced, the new energy consumption capability is improved, and the equipment out-of-limit risk is reduced.

The invention relates to the technical field of electric power control, in particular to a multi-virtual power plant collaborative scheduling method and system based on mixed games and carbon transactions. The method comprises the following steps: acquiring parameters of each virtual power plant, reading a carbon quota allocation scheme and a carbon transaction market price released by a power grid, and establishing a virtual power plant operation cost expression containing a carbon transaction cost; constructing a non-cooperative game model, and obtaining a preliminary optimal output strategy of each virtual power plant by taking minimization of the operation cost of the virtual power plant as a target; the operation state of the virtual power plant is detected, if the risk that renewable energy consumption is insufficient or the total carbon emission exceeds the standard exists, a cooperative optimization mechanism is triggered, a plurality of virtual power plants are selected to form a joint optimization group, and the joint optimization group is regarded as an independent participant to obtain an optimal output strategy again; and issuing the optimized scheduling instruction to each virtual power plant for execution according to the optimal output strategy, and participating in carbon market transaction according to the actual carbon emission and the quota difference in the settlement period.

The invention belongs to the technical field of virtual power plants, and particularly relates to a distribution network virtual power plant aggregation control method based on a disperse complex adaptive system, which comprises the following steps: constructing a distribution network disperse complex adaptive system architecture comprising a tail end resource layer, a local autonomy layer and a global collaboration layer; setting a dynamic aggregation index of the virtual power plant, and calculating the dynamic aggregation index of the virtual power plant based on the operation data of the distributed resources in the local autonomous layer; a virtual power plant dynamic aggregation algorithm based on a greedy strategy is adopted, and a virtual power plant is formed through aggregation; a virtual power plant voltage control strategy based on key node selection is constructed, in the local autonomy layer, each virtual power plant preferentially controls internal resources to realize autonomy, and in the global collaboration layer, key node voltage in each virtual power plant is adjusted to realize collaboration control among the virtual power plants. According to the method, the adjustment potential of the distributed resources can be fully mined, so that the distributed resources can better participate in power grid adjustment, and resource utilization and power grid benefit maximization are realized.

The invention belongs to the technical field of novel electric power system operation control and trust management, and particularly discloses a virtual power plant full-process trusted aggregation method and system based on a hierarchical trust chain. Differentiated hierarchical trust chain models of a data acquisition link, a scheduling control link and a market transaction link are constructed respectively; through real-time credibility evaluation and adaptive weight adjustment, credibility calculation of multi-agent collaborative decision is realized. According to the invention, a trust network formed by a plurality of efficient, safe and transparent virtual power plant trust chains is constructed, solid technical support is provided for fair competition, intelligent scheduling and reliable operation of a power market, and efficient interaction and stable operation of a power system are ensured.

The invention relates to the technical field of virtual power plants, and discloses a virtual power plant regulation and control method and system for realizing new energy consumption, and the system comprises a multi-source heterogeneous data collection module, an intelligent prediction analysis module, a resource aggregation modeling module, an optimization decision module, a block chain cooperation module, and a digital twinborn evaluation module. Multi-time-scale coupling prediction is carried out on new energy output and load demand through the deep space-time convolutional neural network, fluctuation and intermittency characteristics of new energy can be described, short-term and ultra-short-term prediction precision is improved, wind curtailment and light curtailment rate and load reduction risk are reduced, and the prediction efficiency is improved. According to the method, high matching between a virtual power plant scheduling plan and an actual operation condition is guaranteed, a flexible resource feature matrix is constructed, and distributed energy storage, interruptible load and electric vehicle multi-element resources are subjected to refined modeling and aggregation, so that a virtual unit capable of being efficiently scheduled can be formed, the resource utilization efficiency is improved, and the overall scheduling cost is reduced.

The invention provides a virtual power plant dynamic response scheduling method and system based on a cognitive spectrum network, which can improve the reliability, self-adaptive capability calculation efficiency and risk management and control capability of a virtual power plant communication system, and relates to the technical field of virtual power plants, the method comprises the following steps: establishing a cognitive spectrum self-organizing network; collecting current operation state data of each power resource under the virtual power plant and historical operation state data under different working conditions; obtaining a resource response characteristic of each power resource; outputting a preliminary optimization result; converting the preliminary optimization result into a credible optimization result; generating a system risk partition topology report; a market risk hedging strategy capable of being automatically executed is generated; and generating a final scheduling instruction containing the power set value, the execution time, the hedging operation and the risk constraint condition of each resource. According to the method, a feasible technical path is provided for large-scale efficient utilization of distributed resources under the background of the energy internet.

The invention provides a low-voltage ride-through control method for a grid-forming type grid-connected converter based on reactive power synchronization, and belongs to the technical field of converter low-voltage ride-through control. When the voltage of a power grid drops, a current amplitude limiting module in the power grid sends a control switching signal to trigger low-voltage ride-through control, and the low-voltage ride-through control is switched to a reactive power synchronization mode; a reactive power synchronous control gain KQs is calculated according to an inner loop gain coefficient Kcp, a current amplitude limiting value, a power grid voltage Vg and a grid side inductance Lgi, a virtual power angle reference value is generated by combining a set reactive power direct current component reference value QN, so that a power angle delta is stabilized in a range close to a normal working point, and a control effect is verified by comparing with a traditional method. According to the method, the system can quickly recover to a normal working state regardless of the duration of the fault and the severity of the fault, meanwhile, the system can effectively work under different power grid fault levels, and the robustness of the system is further enhanced.

The invention discloses a digital twinning-based power grid dynamic frequency adaptive regulation and control method, system, equipment and medium, and belongs to the technical field of power grid dynamic frequency regulation and control, and the method comprises the steps: collecting power grid operation data through a data collection device disposed at a physical power grid key node; transmitting power grid operation data to a digital twinning construction and operation platform, and synchronously updating a virtual power grid state in real time; a digital twinning construction and operation platform is used for obtaining the operation state and dynamic parameters of the power grid; predicting a frequency dynamic response track of the power grid in a disturbance or expected scene based on the power grid operation state and the dynamic parameters; adjusting control parameters of resources participating in frequency regulation and control according to the frequency dynamic response track; and issuing the control parameters to a corresponding device of the physical power grid for execution through the control instruction execution interface. The frequency dynamic quality of the power grid is remarkably improved, and the frequency stability margin and the overall operation safety are improved.

The invention discloses a power electronic networking equipment stability analysis method, system, equipment and medium, and the method comprises the following steps: building a full-system state space model, carrying out the cross validation of the full-system state space model through employing a modal analysis method, an impedance analysis method and a complex torque analysis method, and obtaining the stability of the full-system state space model; obtaining a multi-mode coupling stability analysis result; according to the multi-mode coupling stability analysis result, constructing a power grid s domain node admittance matrix; establishing a virtual power angle dynamic equation of the network-forming converter, and optimizing control parameters according to an evaluation result; an inertia center reference system is adopted, a dynamic interaction model of the synchronous machine and the network-forming converter is established, and dynamic coupling characteristics between devices are analyzed through a relative motion equation. According to the method, the comprehensiveness, the precision and the engineering applicability of dynamic stability analysis of the novel power system are improved through fusion of a multi-dimensional collaborative evaluation framework and an innovative technical system.

The invention belongs to the technical field of virtual power plants, and particularly relates to a multi-physics field coupled virtual power plant energy storage health state monitoring and predicting method, which comprises the following steps: acquiring electrochemical parameters and thermodynamic parameters of an energy storage facility in real time, preprocessing the acquired data, and storing the preprocessed data into a database; calculating the current SOH of the energy storage facility, constructing a physical information neural network (PINN), and predicting the SOH of the energy storage facility based on the current SOH and historical data in the database; displaying a curve graph of data acquired in real time, the current SOH, an SOH prediction chart and alarm information in a visual mode; and with maximization of SOH and minimization of energy loss and thermal risk as targets, a Pareto optimization problem is constructed, and an optimal charging and discharging strategy is solved. According to the method, multi-parameter perception, physical mechanism and deep learning are fused, and high-precision real-time monitoring and prediction of the energy storage health state of the virtual power plant can be realized.

The invention discloses a virtual power plant optimization scheduling method and device for power system regulation capability improvement, and relates to the technical field of virtual power plants. The method comprises the following steps: acquiring basic data of virtual power plant aggregation resources; constructing a resource operation constraint model under multiple scenes based on the basic data; embedding a conditional value-at-risk (CVaR) risk control mechanism in the operation constraint model, and establishing a multi-scene random optimization scheduling model; and solving the model by adopting a CVX-SeDuMi algorithm and a particle swarm optimization (PSO) hybrid algorithm to obtain an optimal scheduling scheme considering adjustment capacity maximization and risk management and control. On the premise of ensuring safe and stable operation of the power system, the regulation potential of the virtual power plant can be fully mined, meanwhile, the scheduling risk in an extreme scene is effectively avoided, and a scientific optimization scheduling method is provided for the virtual power plant to participate in power system regulation.

The invention provides a transmission and distribution cooperation-based virtual power plant optimal scheduling method, which comprises the following steps of: obtaining an adjustable capability influence parameter of a controllable resource of a virtual power plant, and constructing a controllable resource adjustment characteristic model of the virtual power plant by utilizing the adjustable capability influence parameter; constructing a virtual power plant regulation boundary optimization model, and solving the virtual power plant regulation boundary optimization model to obtain the upper and lower limits of the total power of the virtual power plant; obtaining controllable resource parameters of the power transmission network, constructing a power transmission network optimization scheduling model, solving the power transmission network optimization scheduling model to obtain virtual power plants, power supply and energy storage scheduling plans and a total adjustment instruction, and issuing the plans and instructions to the power distribution network; and constructing a power distribution network instruction decomposition model, solving to obtain distributed controllable resource aggregate adjustment instructions at different access positions, and checking whether a total adjustment instruction requirement is met or not. According to the method, the coordination and economy of the virtual power plant regulation capability at the level of the power transmission network are improved, and the executable performance and safety at the level of the power distribution network are also remarkably enhanced.

The invention discloses an operation risk analysis method and system for a virtual power plant, relates to the field of risk analysis, and solves the problem of insufficient operation stability of an existing virtual power plant, and the method comprises the steps: S1, collecting the operation data of various devices of the virtual power plant; s2, acquiring historical fault data, and constructing a fault rule base; performing fuzzy logic reasoning based on historical fault data to obtain membership values of the abnormal parameters; real-time equipment parameters are collected, calculation is carried out, and a fault judgment value is obtained; fault equipment is judged; s3, calculating the fluctuation condition of the equipment parameters, constructing a fluctuation interval, analyzing and calculating a fault risk value according to the fluctuation interval, judging pre-fault equipment, counting the fault equipment and the pre-fault equipment, and constructing a maintenance equipment list; s4, adjusting the energy supply of the equipment according to the energy supply plan in combination with the maintenance equipment list; the stability of the virtual power plant can be effectively improved.

The invention discloses a new energy consumption-oriented power grid digital twinborn optimization scheduling method and system, and relates to the technical field of power system scheduling, and the method comprises the steps: constructing a digital twinborn model of a power grid; embedding a multi-time-space nested prediction model, establishing new energy output fluctuation characteristics under multiple time scales, performing dynamic evolution correction on each virtual power grid evolution branch according to the new energy output fluctuation characteristics, and establishing an uncertainty evolution trajectory; performing a multi-agent game in the sliding time window; and establishing a scheduling strategy by using a multi-agent game result, and performing optimal scheduling management according to the scheduling strategy. According to the method, the technical problems of low new energy consumption efficiency and high power grid operation safety risk caused by difficulty in accurately coping with the uncertainty of new energy output and lack of a multi-subject benefit cooperation mechanism in new energy consumption scheduling in the prior art are solved, and the purposes of realizing new energy consumption optimization scheduling and improving the power grid operation safety risk are achieved. And the new energy consumption efficiency and the power grid operation safety are improved.

The invention discloses an intelligent multi-power-supply automatic switching control system for a power system, and the system comprises the steps: collecting the operation data of a high-voltage-side power supply and a low-voltage-side power supply, mapping the operation data in a digital twin model through a multi-dimensional state, and generating a load coupling coefficient matrix; taking the load coupling coefficient matrix as an input, and carrying out a virtual power flow disturbance test to identify an overload critical state; fusing the real-time operation data of the critical state and digital twinborn model with the power flow response characteristics to generate a load partitioning result and an optimal switching proportion of each region; executing a cross-side bidirectional load flexible transfer control strategy according to a load partitioning result, and performing closed-loop adjustment on a transfer proportion according to operation data and power flow response characteristics in real time; and running data, power flow response characteristics and load partition results in the switching execution process are written back to the digital twinborn model in an original mode, so that the protection precision and the response speed in a future N-2 fault scene are improved. According to the invention, the problem of overload of'one transformer with a whole station 'under repeated configuration of ATSs at a high-voltage side and a low-voltage side and N-2 faults can be solved.

The invention relates to a virtual power plant, in particular to a load-controllable virtual power plant regulation and control system and method, and the system comprises a data sensing layer which collects the load state, environment parameters and power grid demand information of each controllable load in the virtual power plant in real time; the model construction layer is used for constructing an initial population of a Lureer-fox optimization algorithm according to the load state of each controllable load, and constructing a virtual power plant regulation and control model according to the environmental parameters and the power grid demand information; the optimization decision-making layer is used for solving the virtual power plant regulation and control model by adopting a Level-fox optimization algorithm to generate an optimal virtual power plant regulation and control strategy; the load regulation and control layer converts the optimal virtual power plant regulation and control strategy into a corresponding control instruction, and issues the control instruction to each controllable load to realize real-time optimization regulation and control of the virtual power plant; according to the technical scheme provided by the invention, the defect that the controllable load in the virtual power plant is difficult to accurately and efficiently optimize, regulate and control in the prior art can be effectively overcome.

The invention relates to a virtual inertia-damping cooperative adaptive control method for a voltage source type direct-driven permanent magnet wind turbine generator. The method comprises the following steps: constructing a voltage source type direct-driven permanent magnet wind turbine grid-connected equivalent model; constructing a wind turbine generator frequency response model based on a dynamic coupling relationship between virtual inertia and virtual damping; collecting a frequency signal of a common connection point of a power grid, and carrying out collaborative optimization processing on the frequency signal by adopting a composite filter to obtain a virtual power increment; the active power reference value is introduced into an active power control loop of the grid-side converter; and controlling the power grid side converter after the additional power reference value is introduced by adopting a rotational inertia and damping coefficient adaptive control method based on a nonlinear function. According to the method, frequency steady-state deviation compensation and dynamic change rate correction can be realized, the frequency stability under wide-range disturbance can be improved through segmented nonlinear adjustment, and the requirements of unit active inertia response and power grid frequency stability are met.

The invention relates to the technical field of virtual power plants, and discloses a virtual power plant load prediction and optimization control method, which comprises the following steps: obtaining historical operation load data of a virtual power plant for characteristic decomposition to obtain a trend component, a seasonal component and a residual component, inputting the trend component, the seasonal component and the residual component into a load prediction model based on LSTM (Long Short Term Memory), and obtaining a load prediction value in a future set time period; calculating theoretical output of renewable energy sources to determine supply and demand conditions of energy supply and load prediction values; controlling energy storage charging or discharging and controlling the fossil fuel generator set to be started or stopped by combining the peak and valley conditions of the load prediction value; actual operation data of the virtual power plant are collected in real time, deviation meeting the predicted value is compared, and the energy storage charging and discharging strategy and the fossil fuel generator set output strategy are adjusted. According to the method, by accurately capturing load characteristics and cooperatively optimizing a multi-energy scheduling and dynamic adjustment mechanism, the operation stability and economy of the virtual power plant are improved, the energy waste is reduced, and the adaptability to a power system is enhanced.

The invention relates to the technical field of virtual power plants, in particular to a highway micro-grid virtual power plant optimal scheduling method considering carbon emission, and the method comprises an energy management module which is used for managing and controlling an energy storage module, a charging base and a service area infrastructure; the virtual operation platform is used for coordinating and dispatching electric energy in the power grid and the electric power market; the energy management module is provided with a peak valley selection module, a power supplement module, a power storage module and a direct power supply module. Power is supplied to the service area infrastructure and the charging base through the direct power supply module in the power consumption valley period, and power is supplied to the service area infrastructure through the power storage module in the power consumption peak period; through peak-valley time-sharing power supply, intelligent scheduling and multiple protection, charging and discharging of the power storage module are reduced in the low ebb period, stable charging is guaranteed in the peak period, meanwhile, real-time monitoring and protection are achieved, the service life is prolonged, and energy consumption is reduced.

The invention discloses a self-adaptive virtual synchronous generator control method of an energy storage converter, and relates to the technical field of self-adaptive adjustment. The method comprises the following steps: S1, generating an electrical comprehensive state set based on three-phase voltage and three-phase current of a grid-connected point; s2, constructing a bearing trigger function and evaluating to generate a bearing trigger identifier; s3, obtaining a bearing fault diagnosis result based on the constructed diagnosis sample sequence; s4, according to the bearing fault diagnosis result and the diagnosis sample sequence, an adjustment parameter set is obtained, and an adjustment instruction is issued to the virtual synchronous generator; s5, updating the virtual power angle and the frequency reference; extracting a current vector and remodeling an original voltage reference according to an admittance parameter group; adjusting a power droop target and power angle evolution of a virtual synchronous generator of the energy storage converter according to a projection active instruction and a projection reactive instruction obtained through projection operation; the self-adaptive virtual synchronous generator control method realizes self-adaptive virtual synchronous generator control which keeps voltage shaping and virtual power angle continuity under current bearing constraint.

The invention discloses a virtual power plant flexible resource layering and partitioning method and device and a storage medium, and relates to the technical field of virtual power plants, and the method comprises the steps: obtaining a response characteristic interval model constructed through response characteristic parameters of each flexible resource; based on a response characteristic interval model, evaluating the voltage influence of each flexible resource on each physical node through a voltage sensitivity analysis interval model to obtain each voltage change interval; based on each voltage change interval, performing clustering division on each flexible resource to obtain main resource features of a plurality of aggregation nodes; and returning to execute the step of evaluating the voltage influence of each flexible resource on each physical node through the voltage sensitivity analysis interval model, iteratively optimizing each aggregation node, and when the change rate of the aggregation target function value is smaller than a preset threshold value, determining a layering and partitioning result of each flexible resource. The problem of security risk caused by static layering and partitioning of flexible resources of the virtual power plant is solved, so that the layering and partitioning of the flexible resources are matched with the latest state.

The invention relates to the technical field of power distribution terminals, and discloses a power distribution terminal automatic joint debugging function integrity and reliability test system, which comprises a co-simulation module for performing closed-loop coupling on a virtual power grid and a tested terminal through deterministic time control and generating a reproducible working condition; the scene arrangement module is used for realizing automatic switching and rollback of cross-domain scenes based on transactional snapshots; and the communication module is used for executing a consistency test on multiple protocols and injecting delay jitter, packet loss and clock drift. The functional integrity and reliability test system for the automatic joint debugging of the power distribution terminal aims to solve the problems of lack of deterministic time control of cross-domain cooperation and insufficient guarantee of state consistency in a digital twin test method. The problems that a test result cannot be reproduced, crosstalk misjudgment is caused by state non-atomicity consistency during multi-scene switching, and faults are difficult to reproduce due to lack of time determinacy replay capability are solved.

The invention provides a robot full-flexible rigid-flexible coupling parametric modeling method and system, and belongs to the technical field of robot modeling. According to the method, firstly, based on MDH flexible expansion parameters, a floating coordinate method, a finite element method and a Rayleigh beam model are combined, and a full-flexible kinematics model containing flexible deformation of a base, joints and connecting rods is established; secondly, the speed and acceleration of key nodes of the model and any point of the flexible connecting rod are calculated in a recursive mode; constructing a local kinetic equation of each concentrated mass component and each distributed mass component based on a virtual power principle, and converting the local kinetic equations into a generalized coordinate space through a generalized Jacobian matrix; and finally, assembling to form a unified robot rigid-flexible coupling kinetic equation. According to the method, high efficiency and automation of the modeling process are realized, the accuracy of the model for describing the dynamic characteristics of the robot is improved, and an accurate basic model is provided for high-precision dynamic analysis and control of the robot.

A VSG transient performance improvement method based on segmented power regulation and dynamic virtual impedance comprises the steps that a virtual impedance module capable of being put in and withdrawn is additionally arranged, and virtual impedance is put in rapidly when a fault occurs and withdrawn after the fault occurs; a rotor motion equation of the VSG is improved, and an adaptive adjustment coefficient is introduced to adjust an acceleration area and a deceleration area in each interval on a power angle characteristic curve; and based on an equal area criterion, performing segmented adjustment according to different intervals of the power angle in the transient process to obtain a final value of the adaptive adjustment coefficient. According to the method, through cooperation of dynamic virtual impedance and segmented active power adjustment introducing a virtual power correction coefficient, overcurrent is effectively suppressed in the voltage drop period of the power grid, and meanwhile, the power angle transient stability of the system is guaranteed.

The invention discloses a virtual power plant comprehensive energy management system based on optical storage joint debugging control, and belongs to the technical field of virtual power plants, and the system comprises a data collection module which is used for collecting multi-source data of a virtual power plant; the data processing module is used for processing the multi-source data of the virtual power plant and determining feature data of the virtual power plant; the analysis and prediction module is used for constructing a virtual power plant comprehensive energy management and prediction model to analyze the virtual power plant characteristic data and determining a virtual power plant comprehensive energy management and prediction result; and the energy management module is used for managing the comprehensive energy of the virtual power plant based on optical storage joint debugging control. The problem that the virtual power plant management effect is poor due to the fact that the comprehensive energy of the virtual power plant cannot be effectively managed in the prior art is solved. According to the invention, the comprehensive energy of the virtual power plant can be effectively managed based on the light-storage joint debugging control, the efficient utilization of the energy and the flexible adjustment of the power grid can be effectively realized, and the management effect of the virtual power plant can be improved.

The invention discloses a dispatching method and system based on a distributed diesel generator and a virtual power plant, and relates to the technical field of power systems and energy internet. Comprising the steps that a local control unit establishes an operation constraint model containing a nonlinear fuel efficiency and carbon deposition risk model, and generates a health recommendation domain; the cloud end generates a triple scheduling instruction packet containing reference power, offset bandwidth and weight vectors in combination with power grid constraints; identifying the impedance of a grid-connected point on line at the edge side, and carrying out asymmetric compression correction on the bandwidth based on the voltage sensitivity under a weak grid; and the local unit performs rolling optimization solution under the double constraints of the corrected instruction and the local model, and switches to the anti-carbon deposition autonomous mode containing dummy load input when the communication is interrupted and the carbon deposition risk is high. According to the invention, through cloud-side-end cooperation and hierarchical closed-loop correction, the conflict between the weak network voltage out-of-limit risk and the low-load carbon deposition of the unit is effectively solved, and the safety and the performability of scheduling are improved.

The invention belongs to the technical field of power equipment monitoring, and particularly relates to an electricity utilization information acquisition test method and system based on a virtual metering acquisition device. The method comprises the following steps: testing a real acquisition terminal through a virtual electric energy meter; the virtual electric energy meter is used for generating virtual power data through a power generation model, calculating collection electric quantity according to the virtual power data and packaging the collection electric quantity into a collection data message; the real electric energy meter is tested through the virtual acquisition terminal; acquiring simulation acquisition data of the virtual electric energy meter through the virtual acquisition terminal, and acquiring real acquisition data of the real electric energy meter through the real acquisition terminal; according to an error between the real collection data and the corresponding simulation collection data, judging a data abnormal condition in the real collection data; and testing the abnormal compatibility of the real electric energy meter by using the real acquisition data after the abnormal data is removed through the virtual acquisition terminal. Therefore, the independent test of the electricity utilization information acquisition device is realized, and the influence of abnormal data is eliminated.

The invention discloses a power distribution network dynamic partitioning method and system based on multi-objective ant colony optimization, and relates to the technical field of power system optimization, and the method comprises the steps: carrying out the power grid topology parameter set synchronization and three-dimensional field intensity mapping through a dynamic state estimation algorithm and a finite element electromagnetic field simulation algorithm based on a dynamic data flow, and generating a virtual power grid mirror image; a multi-target ant colony optimization algorithm is embedded in the virtual power grid mirror image, new energy sudden drop and harmonic resonance disturbance are injected into the virtual power grid through Monte Carlo simulation, and a Pareto optimal solution set is generated; and based on the Pareto optimal solution set and in combination with real-time power grid multi-dimensional state data, dynamically adjusting pheromone parameters of a multi-target ant colony optimization algorithm through a depth deterministic strategy gradient algorithm, and generating optimization parameters. Through virtual mirror image generation and parameter dynamic adjustment, deep coupling of data-strategy-execution is realized, and the technical bottlenecks of dynamic data synchronization misalignment and optimization parameter stiffness in a traditional method are solved.

The invention relates to a network following and constructing mode switching control method and device of an inverter and a controller. The method comprises the following steps: acquiring an actual output voltage signal of the inverter in a network following mode; according to the actual output voltage signal and the initial virtual voltage signal, virtual feedback power of the network construction mode is determined, the virtual feedback power and preset virtual reference power are input into a pre-constructed virtual power ring of the network construction mode, and a virtual voltage signal output in the network construction mode is determined; updating the virtual voltage signal into an initial virtual voltage signal, re-determining a virtual feedback power signal to form a virtual network construction pre-synchronization closed loop until the actual output voltage signal and the virtual voltage signal meet a preset synchronization condition, and controlling the inverter to be switched from a network following mode to a network construction mode; wherein the initial virtual voltage signal value is 0, and the virtual reference power value is 0. By adopting the method, the switching stability of the network-following and network-constructing modes can be improved.

The invention discloses a wind-solar power generation power probability analysis method, system and device and a storage medium. The method comprises the following steps: preprocessing multi-source heterogeneous data of a target wind-solar power station to construct an input variable space; based on various input combinations in the input variable space, generating corresponding virtual power prediction parameters and probability distribution of power output of the virtual power prediction parameters, and forming an initial virtual power prediction parameter set; acquiring actual observation power data, and performing difference measurement on the prediction power corresponding to each group of virtual power prediction parameters and the actual observation power data; calculating the credibility weight of each group of virtual power prediction parameters based on the difference measurement result, and screening based on the credibility weight to obtain a high-weight virtual power extension parameter subset; and judging whether the current predicted power meets a preset critical condition based on the high-weight virtual power extension parameter subset, and outputting a corresponding probabilistic key index when the current predicted power meets the preset critical condition. And high-precision and interpretable probabilistic analysis of the wind-solar power generation power is realized.