454 results about "Virtual synchronization" patented technology

The present invention provides an energy storage synchronous coordinated management method and system based on virtual synchronization technology. The method comprises: selecting an appropriate energy storage device according to the requirements of a power grid and collecting related parameters; building a dynamic model of a virtual rotor, and setting rotational inertia of the rotor and torque parameters; building an adaptation layer; configuring a line monitoring apparatus, carrying out a safety operation when the fault occurs in the adaptation layer, or carrying out dynamic control and predictive planning in the absence of faults. The present invention utilizes intelligence to reduce reliance on experience, and enables dynamic optimization to improve the automation level of energy storage control.

Provided in the present invention are an energy-storage synchronous and coordinated management method and system based on a virtual synchronization technique. The method comprises: selecting a suitable energy storage device on the basis of grid requirements, and collecting parameters of the energy storage device; on the basis of the parameters of the energy storage device, establishing a dynamic model of a virtual rotator, and setting a rotator rotational inertia and a torque parameter; establishing an adaption layer, so as to realize the interaction between the virtual rotator and a physical energy storage device; providing a line monitoring apparatus in a grid so as to collect real-time data of the energy storage device and detect, in real time, whether a fault occurs, and the adaption layer executing a safety operation when a fault occurs, and performing dynamic control and prediction planning when no fault occurs, so as to solve the problem of the uneven distribution of resources; and the adaption layer determining whether grid nodes and the real-time data of the energy storage device are normal, and if the grid nodes and the real-time data of the energy storage device are abnormal, performing detection and setting again, and if the grid nodes and the real-time data of the energy storage device are normal, saving a log and ending the process. In the present invention, an intelligent means is used to replace a conventional experiential control method, such that the dependence on experience is reduced, and dynamic optimization can be performed to increase the level of automation of energy storage control.

The invention relates to the technical field of energy storage systems, in particular to a source network load storage coordination control method for multi-configuration network type energy storage coordination operation. According to the technical scheme, the source-network-load-storage coordinated control method for multi-construction-network-type energy storage coordinated operation comprises the following steps: generating a new energy output and load change trend through a dynamic prediction model based on historical power data, real-time load requirements and meteorological information; optimization is carried out to obtain a power generation plan containing a clean energy consumption target and economical efficiency constraints; decomposing the power generation plan into a photovoltaic power adjusting instruction, an energy storage charging and discharging instruction and a load control instruction according to the power grid safety priority, wherein the emergency control instruction is executed prior to the economic dispatching instruction; and controlling parallel operation of a plurality of pieces of networking type energy storage equipment, and realizing multi-machine power distribution and circulating current suppression through a virtual synchronous control technology. And through layered optimization scheduling and multi-machine cooperative control, the new energy consumption capability is remarkably improved, and the phenomenon of abandoning light and wind is reduced.

The invention relates to an offshore energy platform coordinated scheduling method based on multi-energy complementation and hierarchical optimization, which combines multi-energy complementation characteristic modeling, multi-target opportunity constraint optimization and rolling optimization, and realizes offshore multi-energy coordinated scheduling by constructing a hierarchical decoupling optimization and control system. Based on prediction and historical data of multiple types of energy such as offshore wind power, photovoltaic energy and tidal energy, complementarity and flexibility of the energy are quantified, high-quality data support is provided for scheduling optimization, a day-ahead layered optimization model containing renewable energy priority consumption and flexible standby configuration is constructed, and a medium-and-long-term output strategy is formulated. Output of various energy sources is dynamically adjusted through a rolling optimization mechanism, and flexible response to renewable energy fluctuation is achieved. And finally, second-level frequency and voltage support is realized by using a virtual synchronous machine and droop control, and the self-adaptive capability of the system is enhanced. According to the invention, the cooperative regulation capability and operation stability of the offshore platform multi-energy system can be effectively improved, and the dependence on a traditional standby power supply is reduced.

The present application relates to a virtual synchronous control method and apparatus for an energy storage system, a device, and a storage medium. The method comprises: controlling an output voltage of a direct-current energy storage valve on the basis of an output electrical signal measurement value of a direct-current side of a voltage source converter and an output voltage reference value of the direct-current energy storage valve; further, controlling an output signal of an alternating-current side of the voltage source converter on the basis of a grid connection point electrical signal measurement value and a grid connection point electrical signal reference value of the voltage source converter. It can thus be seen that the embodiments of the present application implement a virtual synchronous control method independently controlling a voltage source converter and a direct-current energy storage valve in an energy storage system, so that the method can be applied to virtual synchronous control of a high-voltage direct-current direct-mounted energy storage system. In addition, by means of independently controlling the voltage source converter and the direct-current energy storage valve in the energy storage system, the voltage source converter does not need to be configured to take into account both direct-current side control and alternating-current side control, so that the complexity of a control loop of the voltage source converter can be simplified.

The invention provides a virtual synchronous machine dynamic inertia control method and system based on an artificial intelligence technology, which are applied to voltage source inverter control, and mainly comprises the following steps: data acquisition and preprocessing are carried out, and dynamic parameters are output through a time sequence neural network and are respectively used for control links of a virtual synchronous machine; a convolutional neural network is adopted to calculate a phase compensation angle for phase correction of pulse width modulation, and then a deep reinforcement learning network is utilized to output duty ratio correction to adjust the pulse width modulation so as to cooperatively control the dynamic inertia of the virtual synchronous machine. According to the invention, dynamically adjusted parameters are obtained through data time sequence processing and neural network application, and adaptive adjustment of core parameters can be realized; the convolutional neural network participates in modulation signal calculation, hardware phase delay is effectively compensated, and the dynamic response precision is improved; and cooperative optimization of inertia control and dynamic response is realized by combining deep reinforcement learning, current overshoot is reduced, harmonic waves are suppressed, and the electric energy quality and the system stability are improved.

A virtual synchronization method for an energy storage system and a radial-flow water turbine generator set, said method comprising: analyzing characteristics of a radial-flow water turbine generator set, and designing a suitable energy storage system so as to smooth the power fluctuation of the radial-flow water turbine generator set (S1); acquiring characteristic parameters of the radial-flow water turbine generator set, on the basis of the characteristic parameters, designing a virtual rotor model, and establishing a machinery dynamics equation (S2); on the basis of the virtual rotor model, designing a virtual synchronization controller, constructing a closed-loop control system, and implementing charging and discharging control for the energy storage system (S3); establishing a simulation model for coupling the energy storage system and the radial-flow water turbine generator set, and optimizing parameters of the controller (S4); and, on a test platform of an actual radial-flow water turbine generator set, implementing a proposed virtual synchronous control policy, and carrying out experiment verification and result analysis (S5).

The invention relates to the field of power system frequency stability control, and discloses a virtual synchronous machine energy storage frequency modulation method and system based on model prediction and adaptive control, and the method comprises the steps: constructing a prediction model of a virtual synchronous machine, wherein a virtual inertia coefficient and a virtual damping coefficient are included; designing a cost function, wherein the cost function is a weighted sum of squares of the frequency increment and the input power increment; solving the optimal control sequence by using quadratic programming, and further correcting the input power of the VSG in real time; and in combination with the dynamic characteristics of the energy storage device, the virtual inertia coefficient and the damping coefficient are adaptively adjusted according to the frequency deviation and the frequency change rate. The method focuses on the combination of model prediction control and adaptive control, is applied to the energy storage frequency modulation of the virtual synchronous machine, and aims to effectively solve the problem of frequency stability caused by the access of high-proportion renewable energy to a power system.

The invention discloses a transient optimization control method based on a parallel system of a virtual synchronous machine and a grid-following converter. The method comprises the following steps: 1, constructing a topological structure of the parallel system of the virtual synchronous machine and the grid-following converter; 2, based on the topological structure, establishing a mathematical model of a parallel system, including an active loop equation and a reactive loop equation of a virtual synchronous machine and a phase-locked loop equation of a grid-following converter; 3, constructing an equivalent circuit, a network equation and a transient analysis model of the parallel system based on the mathematical model; 4, on the basis of the equivalent circuit, the network equation and the transient analysis model, determining conditions met by respective balance points of the virtual synchronous machine and the grid-following converter by using a balance point method; and 5, when the power grid has a fault, constructing a transient optimization strategy according to a condition satisfied by the balance point so as to realize transient optimization control of the parallel system. According to the method, the control modes of a virtual synchronous machine power loop and a grid-following type converter phase-locked loop can be improved, so that the transient stability of a parallel system converter is improved.

The invention discloses a network construction type inverter for a photovoltaic energy storage system and a virtual synchronous machine control method. The network construction type inverter comprises an inverter power module and a central controller. The central controller is used for collecting power grid operation data in real time and generating a power grid impedance state vector through online impedance identification; and dynamically adjusting virtual inertia and damping parameters of the inverter power module according to the impedance state vector by using an adaptive mapping function so as to realize cooperative control and circulating current suppression between the modules. Performing stability boundary evaluation based on the adjusted parameters, then performing intelligent early warning of the photovoltaic energy storage system, and smoothly switching the operation mode of the inverter power module; according to the invention, through deep integration of a modular hardware architecture and intelligent adaptive control, the inverter has strong autonomous network construction capability, the problems of weak power grid adaptability and transient stability are effectively solved, and the dynamic response and reliability of a photovoltaic energy storage system are improved.

The invention provides an energy storage converter optimization control method based on a fusion genetic-particle swarm algorithm and a related device, and belongs to the technical field of oscillation suppression of energy storage converters. According to the method, a virtual synchronous machine simulation model is established, a second-order motion equation of the synchronous machine is analyzed to obtain a selection principle of rotational inertia and a damping coefficient, then a related control strategy function is constructed, and parameters of the control strategy function are optimized by using a fusion genetic-particle swarm optimization algorithm. Differential adjustment coefficient configuration can be implemented according to specific requirements of different power system scenes on overshoot and response time, the control strategy strain capacity is effectively improved, and the system instability risk is reduced; and meanwhile, the global search capability of the genetic algorithm and the rapid convergence characteristic of the particle swarm algorithm are fully exerted, the function parameters of the control strategy are accurately optimized, the stable regulation and control capability of the energy storage converter in the power system is enhanced, the low-frequency oscillation of the virtual synchronous machine is effectively suppressed, and the stability and dynamic regulation performance of the energy storage converter are improved.

The invention discloses a wind and light storage coordination control method and system for a virtual synchronous machine, and the method comprises the steps: building a wind power plant-energy storage power station double-layer response mechanism at a first stage, and employing a multi-time scale coordination control strategy for a second-stage energy storage system; and in combination with the virtual synchronous control characteristics of the optical storage power station, establishing a multi-scene optimization model of a wind and light storage multi-source collaborative double-layer coupling mechanism, and realizing dynamic optimization of output of each unit among inertia support, frequency modulation capacity and energy storage health state. According to the method, wind power plant rotor kinetic energy release combined overspeed load shedding control, a fuzzy control means based on an energy storage charge state and a VSG control means based on a virtual inertia and damping coefficient self-adaption photovoltaic system are considered, then wind and light energy storage frequency modulation coordination is optimized, and the system inertia safety is effectively improved on various working conditions and different time scales.

The invention discloses a multi-mode hybrid energy storage cooperative control method and system for a megawatt-level network-building type energy storage power station, and the method comprises the steps: S1, collecting the frequency, voltage amplitude and phase of a power grid, and the charge state and temperature of each energy storage branch, and generating real-time monitoring data; s2, determining an operation mode of the energy storage power station based on a comparison result between the frequency deviation and the voltage deviation in the real-time monitoring data and a preset threshold value; s3, based on the operation mode of the energy storage power station, performing double-layer decomposition on the power instruction through a high-pass filter and a low-pass filter to generate a super-capacitor power instruction and a lithium battery power instruction; s4, generating an internal potential amplitude and a phase angle by adopting a virtual synchronous machine algorithm; and S5, on the basis of the amplitude and the phase angle of the internal potential and the detection result of the power grid connection state, executing switching control of a network construction type control mode or a network following type control mode. The millisecond-second level multi-time scale power optimal distribution is realized; self-adaptive inertia and voltage support is carried out; and island / grid-connected seamless switching is realized.

The invention discloses a virtual synchronous machine control-based impedance modeling and virtual impedance design method for a network construction type MMC (Modular Multilevel Converter). The method comprises the following steps: firstly, establishing a mathematical model of a network construction type MMC converter based on virtual synchronous machine control through a control strategy, and establishing a sequence impedance model of the MMC by adopting a harmonic linearization method; secondly, designing virtual impedance control to optimize traditional VSG control, and proposing a sequence impedance model after introduction of the virtual impedance control; and finally, analyzing impedance characteristics and grid-connected stability of the MMC converter after virtual impedance control is introduced. According to the method, the MMC sequence impedance model based on virtual impedance control can be effectively established, the grid-connected stability of the MMC sequence impedance model is analyzed, and the method has economical and practical values.

The invention relates to the technical field of new energy power system control, and relates to a power decoupling method for cooperative control of voltage feed-forward compensation and adaptive virtual impedance. The method comprises the following steps: acquiring a power grid current and a power grid voltage, and calculating a reactive power measured value and an active power measured value of a power grid; virtual synchronous machine control is carried out, and a voltage feed-forward pre-compensation item is introduced into a reactive power control loop; calculating a reactive power control loop after VSG compensation, and obtaining VSG output side voltage and instantaneous angular frequency; self-adaptive virtual impedance control is adopted, a self-adaptive virtual impedance reference value is calculated, line impedance is dynamically adjusted, and a voltage loop input instruction voltage is calculated according to the line impedance; and adjusting the output performance of the inverter according to the instruction voltage. According to the invention, the problem of power fluctuation caused by VSG output voltage amplitude variation is effectively solved, and the dynamic influence of a power coupling item is weakened.

The invention discloses an impedance remodeling method for suppressing harmonic oscillation based on a superconducting magnetic energy storage system, and belongs to the technical field of power generation, power transformation or power distribution. The method comprises the following steps: analyzing theoretical characteristics of the superconducting magnetic energy storage system, analyzing mathematical models and working characteristics of an SMES and a storage battery, and carrying out theoretical modeling on the hybrid energy storage system; the method comprises the following steps: performing small signal modeling on a grid-connected converter control system under voltage control type virtual synchronous control, and establishing a grid-connected converter small signal sequence impedance model; a sequence impedance remodeling model is introduced, the influence of the sequence impedance remodeling model on the low-frequency impedance of the virtual synchronous control system is revealed, in order to obtain the optimal sequence impedance of the grid-connected converter, real-time and accurate power grid impedance information is obtained by injecting a multi-harmonic disturbance signal into the grid-connected inverter, and a traditional impedance remodeling strategy is dynamically adjusted according to the information. It is ensured that the system still has good stability margin when the power grid impedance fluctuates in a wide range, and the adaptability of the grid-connected inverter under different power grid working conditions is improved.

The invention discloses a virtual synchronous direct drive fan subsynchronous oscillation suppression method based on two-stage lagging link phase compensation control. The method comprises the steps that 1, a phase compensation control module formed by connecting two stages of lagging links in series is constructed; 2, performing parameter setting on the phase compensation control module of the two-stage lagging link by using a momentum gradient descent optimization algorithm and a Newton-Rafson iteration method to obtain a set optimized phase compensation control module; and 3, analyzing damping characteristics of the system, and further selecting a proper compensation point to configure an optimized phase compensation control module for suppressing subsynchronous oscillation control of the virtual synchronous direct-drive fan grid-connected system. Through the design and reasonable configuration of the damping compensation module, the damping characteristic correction of the system can be realized, so that the subsynchronous oscillation of the grid construction type direct-driven fan grid-connected system is effectively inhibited, and the system stability is improved.

The invention discloses a cooperative autonomous synchronous networking method for a multi-networking type energy storage converter without communication interconnection. The method comprises the following steps: S1, state perception and estimation based on local measurement: acquiring local electrical parameters in real time by using a sensor, and performing state estimation through an improved Kalman filtering algorithm and a local dynamic model; s2, a cooperation mechanism of the virtual synchronous machine and droop control: combining the virtual synchronous machine with the droop control mechanism, and realizing automatic power adjustment and cooperation work by setting a virtual inertia, a damping coefficient and a droop coefficient; s3, self-adaptive synchronization algorithm: based on the local state estimation and the output of the virtual synchronous machine, adjusting the phase and frequency of the output voltage, and dynamically adjusting synchronization parameters according to the state of the power grid; and S4, detecting a fault by monitoring local electrical parameters and a self state in real time, and automatically adjusting a control strategy and realizing system fault tolerance when the fault occurs.

The invention provides a VSG inertia and damping adaptive coordination control method, and belongs to the technical field of virtual synchronous generator control. Research finds that the oscillation process can be segmented, and in each segment, the inertia and damping coefficient requirements are different. Based on the relevance between the rotational inertia / damping coefficient and the system angular frequency offset / angular frequency change rate, the arctan function is used in the control strategy provided by the invention to participate in adjusting the system inertia and damping change, and the advantage that the rotational inertia and damping coefficient parameters of the virtual synchronous machine are flexible and adjustable is fully utilized; the relevance between the angular frequency change rate / angular frequency offset and the rotational inertia / damping coefficient is studied. Through cooperative control of the rotational inertia and the damping coefficient, when the system is disturbed, sufficient inertia support can be provided, the frequency change of the system is stabilized, and the transient process of the frequency and the active power during system load disturbance is effectively improved.

The invention discloses a grid-connected inverter control method, system and device and a medium. The method comprises the steps of obtaining a power grid operation parameter, a system power instruction and a direct current bus voltage provided by a photovoltaic side hybrid energy storage system; a virtual inertia parameter is dynamically adjusted through an active-frequency control loop of the virtual synchronous machine in combination with an adaptive inertia algorithm, and a virtual rotor angular speed and an active power reference value are obtained through calculation according to a second-order motion equation of the synchronous generator; in combination with a reactive power instruction, a virtual internal potential amplitude is calculated according to a reactive-voltage droop relation through a reactive-voltage control loop of the virtual synchronous machine; and generating a three-phase voltage reference signal of the grid-connected inverter through synchronous rotation coordinate transformation. According to the invention, the dynamic performance, the operation efficiency and the grid-connected stability of the system under complex working conditions are obviously improved.

The invention discloses a voltage source type energy storage small signal stability analysis method based on a virtual synchronous machine. A small signal state space model including active control, reactive control, double closed-loop control and a lithium battery energy storage module is established, a characteristic value analysis method is used for solving a state matrix characteristic root, system stability is evaluated, and an oscillation mode is identified. By drawing characteristic root trajectories of key parameters such as virtual rotational inertia, virtual damping coefficients and double-closed-loop PI parameters, an influence rule of the parameters on system stability is analyzed. According to the method, the dynamic response characteristics of the system can be accurately quantified, theoretical support is provided for control strategy optimization and parameter design of the voltage source type energy storage system, and the stability and reliability of a power grid in a renewable energy source grid-connected scene are effectively improved.

The invention discloses a hydrogen fuel cell ship electric propulsion inertia self-adaptive optimization control method, which relates to the technical field of hydrogen fuel cell ship electric propulsion control, and comprises the following steps of: acquiring ship operation state data and ship internal power network fluctuation data in real time, preprocessing, extracting features, calculating a virtual inertia coefficient and a virtual damping coefficient, and calculating an inertia coefficient and a damping coefficient; generating a virtual torque instruction; obtaining a total power demand of the ship by using a torque rotating speed calculation method, and dividing the total power demand into high-frequency, intermediate-frequency and low-frequency ship power distribution instructions; through a virtual synchronous machine model, the actual power of the ship is output, the voltage of a direct-current bus and the power of a hydrogen fuel cell are monitored in real time, a dynamic compensation power fluctuation method is utilized, the operation state of the ship is regulated and controlled, and a voltage stability index is obtained; the ship propulsion inertia is adaptively optimized through a power regulation algorithm, so that the ship can better adapt to different working conditions, and the stability and safety of the ship are enhanced.

The present invention discloses a charging and discharging control method and system for an electric vehicle based on virtual synchronization, and relates to the technical field of virtual synchronization. The method includes: establishing connection between a power grid and the electric vehicle, and acquiring a charging and discharging operation demand; acquiring, according to the charging and discharging operation demand, a corresponding control instruction and constraint condition, and executing a charging and discharging operation; and providing a human-computer interaction interface for measuring and settling charging and discharging energy, along with authentication. The present invention achieves efficient and coordinated charging and discharging control, precise measurement and convenient authentication, and improves availability and reliability of the system.

The invention discloses a wind and light energy storage power generation distribution control method and system. The method comprises the following steps: acquiring related parameters of a wind and light energy storage system; a multi-target control function is constructed based on a multi-target Harris eagle optimization algorithm, and system constraint conditions are combined in the directions of wind and light output fluctuation suppression, energy storage charge and discharge loss reduction and power grid supply and demand matching degree improvement; monitoring and adjusting the state of charge of the multi-mode hybrid energy storage unit through a wind storage combined wide-area SOC virtual synchronous control strategy, establishing association mapping and determining an initial threshold value; preliminarily distributing a power difference value between wind and light output and a power grid load by using the platform; iteratively optimizing the preliminary distribution power and then outputting target power; and sending a control instruction to realize real-time distribution. The number of the system is six, and all the units work cooperatively. According to the invention, the energy storage resource utilization efficiency and the system operation stability are improved, and the dynamic adaptation capability of the wind-solar energy storage system to the power grid load is enhanced.

The invention relates to an alternating-current trunk line or an alternating-current power distribution network, in particular to a method for improving the stability of a wind power system through combined control of network construction type energy storage and a nine-switch UPQC. The method comprises the following steps: firstly, proposing an active regulation and inertial support control method based on a virtual synchronous machine mechanism for network construction type energy storage; and secondly, by constructing a coordination control framework, dynamic response complementation of the energy storage system and the UPQC under disturbance is realized, so that the overall frequency stability and voltage supporting capability of the system are improved. And finally, building a system model in Matlab / Simulink, setting three typical working conditions of wind power fluctuation, frequency disturbance and serious voltage drop, and carrying out scheme validity verification. Simulation results show that the method can effectively stabilize the wind power output fluctuation, enhance the frequency and voltage support capability, and significantly improve the stability of a wind power system.

The invention discloses a control method and device for improving broadband oscillation stability of a grid-forming type converter, solves the problem that the grid-forming type converter generates intermediate frequency oscillation after a virtual inductor is introduced, and belongs to the technical field of power electronic grid-connected equipment control. The method comprises the steps that virtual synchronous control is adopted by a grid-forming converter, a VSG reference voltage amplitude is obtained according to an active and reactive control loop, and a converter output voltage reference value is obtained by combining an alternating current voltage and current double closed loop of a virtual inductor, a current value of a grid-connected line is sampled, and a dq-axis component of grid-connected current under a rotating coordinate system is obtained; a differential item obtained after the dq-axis component of the grid-connected current in the rotating coordinate system is multiplied by the virtual inductance passes through a first-order low-pass filter, a dynamic virtual inductance item of the dq axis in the rotating coordinate system is obtained, the dynamic virtual inductance item is introduced into an alternating-current voltage loop input end in an alternating-current voltage and current double closed loop, and the broadband oscillation stability of the grid-forming type converter is improved.

The invention provides a self-adaptive state prediction control method for improving the stability of a grid-forming type new energy shafting, and belongs to the technical field of wind power generation, and the method comprises the steps: determining an extended state observer based on a nonlinear function and a closed-loop system; obtaining a virtual torque compensation item by using the extended state observer, and feeding back the virtual torque compensation item to a virtual rotor motion equation of the virtual synchronous machine to perform additional power compensation; in the additional power compensation process, when the rotating speed of the draught fan is lower than a preset safety value, proportional integral differential control is set to zero through a rotating speed protection module, the wind power virtual synchronous machine system is controlled to exit additional power compensation, and the active supporting system is controlled to operate stably; in the stable operation process of the active support system, the rotating speed of the fan is recovered to the optimal value through the rotating speed recovery module, and the influence caused by unreasonable parameters is reduced and the dynamic stability of the wind power VSG grid-connected system is effectively enhanced by estimating the imbalance between the external disturbance power and the internal state quantity and performing tracking compensation in the controller.

The invention relates to a new energy scene collaborative energy compensation system based on multi-energy complementation and a control method. The system comprises a power supply input and conversion module, an energy storage system, a power distribution and energy distribution module, a charging and battery replacement facility and a control system. The power input and conversion module is connected to an alternating current bus through a box-type substation, a photovoltaic panel and a photovoltaic inverter; the energy storage system is connected with an AC-DC bus through a power conversion system and a DC conversion module by utilizing an energy storage battery pack and a mobile power transmission vehicle; the power distribution and energy distribution module transmits electric energy through an AC-DC bus. The charging and battery replacing facility takes power from the AC / DC bus; the control system collects data and dispatches energy through a communication protocol, and cooperates with the power electronic transformer and the virtual synchronous machine control module to realize power grid frequency compensation and voltage stability control. According to the invention, by integrating photovoltaic, energy storage and charging facilities and power grid interaction capability, an intelligent scheduling mechanism is constructed, and multi-energy cooperative control and intelligent scheduling are realized.

The invention relates to the technical field of converter control, in particular to a novel four-level efficient grid-connected system and a control method, and the method comprises the steps: determining the target output power, the target input power, the actual output power and the actual input power of a converter based on a 4L-HCC converter; determining a phase angle and an output voltage amplitude based on a preset virtual synchronous machine control strategy, and converting to obtain a corresponding three-phase reference voltage; performing HCC internal capacitor voltage control on the converter, establishing a corresponding loss function, and determining a reference wave change range corresponding to each switching device on the converter based on actual setting; the corresponding reference wave signal with the minimum loss function derivative is calculated; and carrying out phase shift pulse width modulation on the converter, taking high-frequency triangular waves with different phases as carriers, comparing the calculated reference wave signals with the carriers, calculating the duty ratio of each switching device of the converter and a switch driving signal, and driving each switching device of the converter.

The invention is suitable for the technical field of power distribution network planning, and provides a power system source-network-load-storage coordinated multi-target planning method, which comprises the steps of realizing real-time dynamic coupling simulation of multiple links of source-network-load-storage through a virtual synchronous machine interface, and integrating a refined model library, the refined model library is used for providing a first planning scheme of multi-scene collaboration; re-planning the energy data of the first planning scheme to obtain a second planning scheme for energy complementation and coordinated optimization; generating an extreme scene sample by adopting a Wasserstein generative adversarial network, establishing a multi-dimensional uncertainty joint probability model based on the extreme scene sample, performing dynamic risk assessment on the second planning scheme, and generating a risk assessment report; based on the risk assessment report and in combination with the business mode, a feasible target planning scheme is generated, so that the scientificity, feasibility and efficiency of power system planning are improved, and the intelligent and sustainable development of the power system is promoted.