CN-122026346-A - Inertia characteristic analysis method for fans under different control

CN122026346ACN 122026346 ACN122026346 ACN 122026346ACN-122026346-A

Abstract

The invention discloses an inertia characteristic analysis method of a fan under different control, which relates to the technical field of new energy power generation and has the technical scheme that: by establishing a System Frequency Response (SFR) model without virtual inertia, with-net type and net-structured virtual inertia control, introducing stability constraint and rotor kinetic energy constraint, taking average inertia supporting power as a unified evaluation index, and screening control parameters of equivalent inertia supporting capacity. And (3) combining multi-wind-electricity permeability scene simulation, comparing frequency response characteristics of the system, and evaluating inertia supporting effects of various control modes. The method is used for analyzing the inertia characteristics of the fan under different control of the fan running parameters, lays a foundation for the evaluation of the inertia characteristics of the direct-drive wind power plant with virtual inertia control, and provides guidance for the design of the inertia control parameters.

Inventors

LI HONGBO
GAO XUZE
LI YUE
WANG SHUO
ZHANG YIFAN
ZHOU ZHONGHU
SU CHENBO
LIU CHONGRU

Assignees

内蒙古电力(集团)有限责任公司电力调度控制分公司
华北电力大学

Dates

Publication Date: 20260512
Application Date: 20260116

Claims (10)

1. The inertia characteristic analysis method of the fan under different control is characterized by comprising the following steps: Acquiring system parameters and an operation scene, wherein the operation scene comprises non-virtual inertia control, net-following virtual inertia control and net-constructing virtual inertia control; Introducing stability constraint and rotor kinetic energy constraint to screen the virtual inertia control parameters, and obtaining screened virtual inertia control parameters; Calculating an average inertia support power map under different running scenes based on the screened virtual inertia control parameters; Introducing an average inertia support power diagram under different running scenes into rotor kinetic energy constraint, taking a group of control parameters with the same inertia support capacity under the control of net-type and net-structured virtual inertia, and simultaneously taking another group of control parameters on the average inertia support power diagram under the control of net-type virtual inertia; Under the given disturbance power condition, based on a system frequency response model, respectively establishing a system frequency response model under the conditions of no virtual inertia control of a fan, net-following virtual inertia control of the fan and net-following virtual inertia control of a fan mechanism, calculating a dynamic change process of system frequency along with time according to the model, obtaining a system frequency response characteristic curve, and analyzing system frequency response results corresponding to various control modes under different wind power permeability conditions through the system frequency response characteristic curve.
2. The method for analyzing the inertia characteristics according to claim 1, wherein the system parameters comprise alternating current system frequency parameters, system rated angular frequency, direct current side voltage of a converter station, measured angular frequency, wind turbine rotating speed, grid-connected power of a wind turbine generator, output power of a side converter of the wind turbine generator, a time constant of direct current side capacitance inertia, virtual moment of inertia of the direct current wind turbine generator, pole pair number of a direct current driving wind turbine generator and a time constant of inherent inertia of the wind turbine.
3. The method of claim 1, wherein the stability constraint is a transfer function calculated under different operation scenarios, and the characteristic root distribution of the transfer function is used to analyze whether the system is stable.
4. The method of claim 3, wherein the transfer function without virtual inertia control is: ; Wherein H G is the generator inertia constant, D is the damping coefficient, eta is the wind power permeability, and T R is the speed regulator time constant; The transfer function of the following net type virtual inertia control is as follows: ; Wherein H w is the inherent inertia time constant of the fan, omega r0 is the initial angular velocity of the rotor, C is the power increment coefficient, and F H is the dynamic gain of the prime motor; the transfer function of the network-structured virtual inertia control is as follows: ; Wherein K is and K ps are virtual inertia control parameters.
5. The method of claim 1, wherein the rotor kinetic energy constraint is an energy required for calculating rotor kinetic energy and inertia support, and the energy required for inertia support is less than or equal to the rotor kinetic energy.
6. The inertia characteristic analysis method of claim 1, wherein the calculating the average inertia support power map under different operation scenarios comprises the following steps of: ; ; net-structured direct-drive fan average power: ; ; Wherein H is an inertia constant, S N is rated capacity of a fan, f N is rated capacity, J eq is virtual rotational inertia of the direct-drive wind turbine generator, n p is pole pair number of the direct-drive fan, H w is inherent inertia time constant of the fan, omega nom is rated angular velocity of the fan, omega r0 is initial angular velocity of a rotor, delta omega r is increment of rotational velocity of the rotor, omega e is initial angular frequency of a power grid, delta omega e is increment of angular frequency of the power grid, frequency differential coefficient K d and frequency proportionality coefficient K p .
7. The method for analyzing the inertia characteristics of a fan under different control according to claim 1, wherein the system frequency response characteristic curve calculation formula is: ; Wherein, the A system frequency response characteristic curve; is the amount of active power imbalance.
8. An apparatus/device/system for inertia characteristic analysis of a wind turbine under different control, comprising a memory, a processor and a computer program stored on the memory, wherein the processor executes the computer program to carry out the steps of the method of any one of claims 1-7.
9. A computer readable storage medium having stored thereon a computer program/instruction, which when executed by a processor, implements the steps of the method of any of claims 1-7.
10. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method of any of claims 1-7.

Description

Inertia characteristic analysis method for fans under different control Technical Field The invention relates to the technical field of new energy power generation, in particular to an inertia characteristic analysis method of a fan under different control. Background With the rapid development of new energy power generation technology, the phenomenon of 'wind power network access to reduce system inertia' of a power system in China is increasingly remarkable, and the phenomenon is mainly characterized in that the permeability of wind power of the system is higher and higher, and the wind power inertia level is inferior to that of a traditional synchronous machine. The system has weak disturbance rejection capability, the problem of system frequency reduction after power disturbance occurs in a low inertia system is seriously aggravated, and the system frequency which is too low can cause a fan to be off-line, so that wind power consumption is influenced, and the safe and stable operation of a power system is threatened. Specifically, the wind turbine generator is generally operated in a maximum power point tracking mode, and the running mode enables the rotation speed of the wind turbine generator to be completely decoupled from the frequency of a power grid. Although the wind turbine generator has considerable rotational kinetic energy, the rotor kinetic energy cannot participate in the dynamic adjustment of the system through the traditional electromagnetic coupling mode, so that the mechanical inertia of the wind turbine generator is difficult to convert into effective system inertia. For virtual inertia control of the direct-drive fan, domestic and foreign scholars have conducted intensive research. At present, the inertia supporting control of the direct-driven wind turbine generator can be divided into two types, namely, follow-net control and net construction control. Aiming at the following net type virtual inertia control, most of researches are carried out on a control mode of adding a power controller to a machine side controller, and the implementation strategy of the net type virtual inertia control comprises direct current capacitance inertia synchronous control, virtual synchronous control, droop control, virtual oscillator control and the like. However, there are several problems in existing inertia evaluation studies: 1) In the frequency modulation control strategy based on the rotor kinetic energy and the distributed energy storage fan, the rotor kinetic energy is considered as a virtual inertia power support source, but the direct-current link capacitor energy is not discussed; 2) In the existing research, four methods for evaluating equivalent inertia are insufficient, a parameter identification method is combined with a detailed model of a wind turbine generator, model order selection, inertia reduction and the like have great influence on calculation accuracy and large workload, a modal analysis method is not dependent on disturbance working conditions, a research object of the modal analysis method is limited to a synchronous machine leading system, the application is less in a wind power high-permeability system, most of related researches of a data correlation method are conducted on rotational inertia and rarely involve the research of virtual inertia, and in the aspect of a direct calculation method, a wind power plant inertia parameter calculation formula under the condition of energy change is deduced from the aspect of frequency fluctuation of a machine end, but the detailed parameters and running states of all wind turbine generators in the whole field are required, and the workload is large. 3) The wind turbine generator system simplified model and the wind farm model with virtual inertial control calculate and calculate the frequency domain and time domain analytic solutions of the inertial time constant, but do not perform the next inertia evaluation work. In view of the above, the invention provides a method for analyzing inertia characteristics of fans under different control. Disclosure of Invention The invention provides an inertia characteristic analysis method of a fan under different control, which solves the problems. The technical aim of the invention is realized by the following technical scheme: The first aspect of the invention provides a method for analyzing inertia characteristics of a fan under different control, comprising the following steps: Acquiring system parameters and an operation scene, wherein the operation scene comprises non-virtual inertia control, net-following virtual inertia control and net-constructing virtual inertia control; Introducing stability constraint and rotor kinetic energy constraint to screen the virtual inertia control parameters, and obtaining screened virtual inertia control parameters; Calculating an average inertia support power map under different running scenes based on the screened virtual inertia control parameters; Intr