13 results about "Infinite bus" patented technology

The invention discloses a self-adaptive control method and system for high and low voltage fault ride-through of a network-constructed converter, and relates to the field of network-constructed converters. The existing network-forming converter is difficult to consider voltage source characteristic maintenance and current safety amplitude limiting in a fault ride-through period. The method comprises the following steps: acquiring voltage amplitudes of a grid-connected point and an infinite bus before and after a fault, and calculating a ratio of products of the voltage amplitudes to judge a fault state; based on the ratio, the active power before the fault, the power grid impedance and the power angle variation, adaptively calculating an active power reference value; in response to the fault state, a reactive power reference value is calculated with the aim of ensuring that the current does not exceed the safety limit value; and finally, inputting the power reference value to an inherent active-frequency and reactive-voltage droop control ring of the converter to complete fault ride-through. According to the technical scheme, the external characteristics of the voltage source of the grid-forming converter can be kept during the fault period, internal coordination of power support and equipment safety is achieved, and the adaptability and stability of the system under different fault working conditions are improved.

The application provides an inverter droop control method and system, electronic equipment and a readable storage medium. The method comprises: generating an initial curve family of reactive power and voltage on the inverter side based on an established single-machine infinite bus (SMIB) model; screening the generated initial curve family according to a preset power system static stability criterion to obtain a stable region atlas capable of meeting the stable operation of the SMIB model; setting various different droop control curves in the stable region atlas; and determining a droop coefficient range based on the intersection between the droop control curves and the stable region atlas, and performing reactive power-voltage droop control based on the droop coefficient range. The application can accurately identify the stable domain of the reactive power-voltage droop coefficient of the network type inverter in advance and offline by constructing the SMIB model and coupling the inherent mathematical relationship and strict stability criterion.

An electric power generation system including an adaptive power system stabilizer (PSS), the adaptive PSS including a first estimator configured to receive a plurality of sensor measurements as inputs and to output derived infinite bus (IB) values, the adaptive PSS further including a second estimator disposed downstream of the first estimator and configured to switch between a plurality of models, each of the plurality of models configured to receive the derived IB values ​​as inputs and to output derived electric generator parameters, the adaptive PSS configured to provide stabilization of the electric generator using the derived electric generator parameters.

The invention discloses a DNN-based adaptive optimization control method for a fractional order single-machine infinite bus system, and relates to the field of single-machine infinite bus system control. The method comprises the following steps: establishing a dynamical model of a single-machine infinite bus system, and converting the dynamical model of the system into a state model; designing a function approximate DNN architecture, approaching an unknown function in the system, and designing a weight updating law based on a first-order Taylor series to reduce the mathematical difficulty; in the backstepping process, a virtual controller and an actual controller are constructed by utilizing an optimization backstepping technology, and the overall control optimization of the system is realized; an event trigger function is designed, and consumption of system communication resources is reduced; and carrying out Lyapunov analysis to ensure that each signal of the system is bounded. The adaptive optimization backstepping controller based on the DNN architecture is designed for a fractional order single-machine infinite bus system, unknown nonlinear terms in the system can be compensated, and a single-machine power angle tracks a given reference signal.

The invention provides an inverter droop control method and system, electronic equipment and a readable storage medium, and the method comprises the steps: generating an initial curve family of reactive power and voltage of an inverter side based on an established single-machine infinite bus (SMIB) model; screening the generated initial curve family according to a preset power system static stability criterion to obtain a stable region map capable of meeting stable operation of the SMIB model; setting various different droop control curves in the stable region map; and determining a droop coefficient range based on an intersection condition between the droop control curve and the stable region map, and performing reactive power-voltage droop control based on the droop coefficient range. According to the method, the SMIB model is constructed, and the internal mathematical relationship and the strict stability criterion of the SMIB model are coupled, so that accurate identification of the stability domain of the reactive power-voltage droop coefficient of the grid-forming inverter can be completed in a preposed and offline manner.

This invention discloses a method, apparatus, electronic device, and storage medium for determining node voltages in an electromechanical transient network containing an infinite bus, belonging to the field of power system electromechanical transient simulation technology. The method includes: obtaining the node admittance matrix of the power system to be simulated and the injected current of each grid-connected device except the infinite bus; solving the equivalent impedance matrix based on the node admittance matrix to obtain the self-impedance of the infinite bus and its mutual impedance with each node; calculating the total equivalent voltage drop formed at the infinite bus by each grid-connected device in conjunction with its injected current and corresponding mutual impedance; deriving the injected current of the infinite bus based on the infinite bus voltage phasor, self-impedance, and total voltage drop; and substituting the injected current of the infinite bus and the injected currents of other grid-connected devices into the node admittance matrix to solve the network equations to obtain the voltages of each node. The implementation of this invention can solve the problem of network node voltages deviating from preset standards during transient processes in existing technologies.

An electric power generation system including an adaptive power system stabilizer (PSS), the adaptive PSS including a first estimator configured to receive a plurality of sensor measurements as inputs and to output derived infinite bus (IB) values, the adaptive PSS further including a second estimator disposed downstream from the first estimator, the second estimator configured to receive the derived IB values ​​as inputs and to output derived electric generator parameters, the adaptive PSS configured to provide stabilization of the electric generator using the derived electric generator parameters.

The invention discloses a hybrid modeling control method and system for an inverter, and the method comprises the steps: carrying out the modeling of the grid connection of a control strategy of a grid-following type inverter, and constructing a first inverter grid-connected model; modeling is carried out on control strategy grid connection of the grid-forming type inverter, and a second inverter grid connection model is constructed; according to the first inverter grid-connected model and the second inverter grid-connected model, constructing a single-machine infinite bus model and a multi-bus power system model based on a power flow global characterization method; performing simulation verification on the single-machine infinite bus model and the multi-bus power system model to verify the power response characteristic of the grid-following inverter under the strong power grid and the frequency characteristic of the grid-constructing inverter under the weak power grid, and obtaining a simulation verification result; according to a simulation verification result, adjusting a control strategy of a network-following inverter and a network-constructing inverter; according to the invention, the coexistence scene of the grid-following type inverter and the grid-constructing type inverter can be effectively handled, and the stability of the power system is improved.

This invention discloses an optimization method for an SVC power oscillation damping controller, specifically including: constructing a single-machine infinite bus system model with SVC-added power oscillation damping control; using generator electromagnetic power and set mechanical power as disturbance signal inputs to the model; employing a whale optimization algorithm based on adaptive weights and simulated annealing to initialize algorithm parameters and the population; calculating the population fitness and the initial temperature of the simulated annealing algorithm to find the optimal individual position; calculating the average population fitness and updating parameters during the iteration phase; calculating the new population fitness, performing a cooling operation, and outputting control parameters during the simulated annealing phase; and adding the processed error signal to the oscillation signal to obtain the control signal, thus solving the SVC parameter coordination optimization problem. This method improves upon the problem of particle swarm optimization easily getting trapped in local optima, and the introduced adaptive weights address the slow convergence speed of the whale optimization algorithm, improving the computational convergence speed and quickly solving the SVC parameter coordination optimization problem.

The application discloses a converter control method and device considering AC side phase angle feedback and a storage medium, and belongs to the field of novel power grid formation control. The method comprises the following steps: for a DC-AC power converter, considering the connection of the DC-AC power converter with an infinite bus or a dynamic center inertia (COI) power grid, a converter model containing explicit expressions of energy dynamics, DC links, LC output filters, transmission lines and the like is established, and a closed-loop dynamic equation under a hybrid angle control (HAC) strategy is determined; based on the model and the control strategy, the existence, stability and boundedness of equilibrium points of a closed-loop system are analyzed, and corresponding parameter conditions are given; considering the safety constraints of the power converter, a current limiting control compatible with the hybrid angle control (HAC) is designed, and the stability thereof is analyzed; the implementation method of the hybrid angle control (HAC) in actual application is researched and designed, the robustness thereof is analyzed, behaviors of the hybrid angle control (HAC) under different working conditions are analyzed, and numerical examples are used for verification.

The invention relates to a reactive boundary calculation method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: determining a first initial boundary of a converter in a wind power plant according to power equipment parameters of a wind turbine generator at a current operating point in the wind power plant; determining a second initial boundary of the wind power plant according to a single-machine infinite bus system corresponding to the wind power plant; and determining the reactive power boundary of the wind power plant according to the first initial boundary, the second initial boundary and the preset corresponding relation between the voltage and the reactive power output of the wind power plant, thereby comprehensively considering the current transformer capacity constraint, the node voltage constraint and the power flow equation solution constraint when the reactive power boundary of the wind power plant is calculated. And the accuracy of reactive capacity evaluation of the wind power plant is improved.

A power generation system includes an adaptive power system stabilizer (PSS). The adaptive PSS includes a first estimator configured to receive a plurality of sensor measurements as input and to output a derived infinite bus (TB) value. The adaptive PSS further includes a second estimator disposed downstream of the first estimator and configured to receive the derived IB value as input and to output a derived electric generator parameter, wherein the adaptive PSS is configured to use the derived electric generator parameter to provide stabilization of an electric generator.

This application relates to a dynamic intermittent control method, apparatus, device, storage medium, and program product. The method includes: acquiring the expected grid connection value of a single-unit infinite bus power network system and the actual state value of the single-unit infinite bus power network system; outputting intermittent control signals based on the expected grid connection value and the actual state value to control the operation of an actuator; wherein the intermittent control signals are used to indicate the frequency of operation through control commands, so that the actuator remains silent when the single-unit infinite bus power network system is in a stable equilibrium range. This application can reduce the frequency of control command operations, allowing the actuator to remain silent when the system is in a stable equilibrium range, activating and applying effective control only when necessary, thereby reducing mechanical and electrical wear of the mechanism and significantly extending the service life of the equipment.