CN-122000904-A - Multisource information fusion control method for improving stability of power system

Abstract

The invention relates to the technical field of power system decentralized control and discloses a multisource information fusion control method for improving the stability of a power system, which comprises the steps of acquiring a state error signal, injecting an active detection signal, extracting a self-response component and an orthogonal demodulation intermediate component of the active detection signal, calculating a power grid rigidity context parameter based on the self-response component, generating a detection channel quality index based on the time stability of the intermediate component, and determining whether to carry out self-adaptive control on fusion context parameters or safe rollback by adopting preset default control parameters according to whether the quality index meets a preset threshold value.

Inventors

• PENG SIJIE
• LU DANHONG
• Xia Huidao

Assignees

• 南京工程学院

Dates

Publication Date

20260508

Application Date

20260128

Claims (10)

1. 1. A multi-source information fusion control method for improving stability of an electric power system, the method being executed on at least one decentralized control node of a decentralized control system of the electric power system, comprising the steps of: acquiring local conventional state measurement of the distributed control node, and determining a state error signal based on the local conventional state measurement; performing frequency-specific quadrature demodulation on the local response signal to extract the self-response component and obtain an in-phase component and a quadrature component for calculating the self-response component; The method comprises the steps of comparing a detection channel quality index with a preset reliability threshold, merging a state error signal and a context parameter to adaptively generate a control instruction and execute the control instruction when the detection channel quality index meets the preset reliability threshold, and temporarily suspending the merging of the context parameter and enabling a distributed control node to adopt a preset default control parameter to generate the control instruction and execute the control instruction when the detection channel quality index does not meet the preset reliability threshold.
2. 2. The method for controlling multi-source information fusion for improving stability of a power system according to claim 1, wherein the step of extracting the self-response component comprises the steps of performing a frequency-specific-based orthogonal demodulation algorithm on the local response signal to filter interference components of unspecific frequencies in the local response signal and obtain the self-response component, and the step of calculating the context parameter comprises the step of determining the context parameter based on a ratio between the amplitude of the active detection signal and the amplitude of the self-response component.
3. 3. The method of claim 1, further comprising the steps of obtaining a phase difference between the active probe signal and the self-response component and using the phase difference as a phase context parameter characterizing impedance characteristics of the local power grid, and adaptively generating the control command, and further comprising the step of fusing the phase context parameter to adaptively adjust a control strategy of the control command.
4. 4. The method for multi-source information fusion control for improving stability of a power system according to claim 1, further comprising the steps of obtaining local frequency measurement of a distributed control node, determining a frequency error signal based on the local frequency measurement, generating and injecting a preset active detection signal with a frequency different from that of the active detection signal into an active power output end of the distributed control node, collecting the local frequency measurement, extracting a frequency self-response component caused by the active detection signal from the active detection signal, calculating a frequency context parameter representing rigidity of the local frequency in real time based on the active detection signal and the frequency self-response component, and fusing the frequency error signal and the frequency context parameter to adaptively generate an active control instruction.
5. 5. The method for controlling multi-source information fusion for improving stability of power system according to claim 2, wherein the step of calculating the context parameters comprises calculating the context Wen Canshu by the following formula : Wherein As a function of the context parameters, For actively detecting the amplitude of the signal, Is the magnitude of the self-response component.
6. 6. The method for controlling multi-source information fusion for improving stability of a power system according to claim 1, wherein the step of monitoring time stability of the in-phase component and the quadrature component in real time includes calculating variances of the in-phase component and the quadrature component within a predetermined time window, and using the variances as a detection channel quality index.
7. 7. The method for multi-source information fusion control for improving stability of a power system according to claim 1, wherein the active detection signal is a reactive power disturbance signal, the local normal state measurement is a local voltage measurement, the state error signal is a voltage error signal, the local response signal is a local voltage signal, and the self-response component is a voltage response component caused by the reactive power disturbance signal in the local voltage signal.
8. 8. The method for multi-source information fusion control for improving power system stability according to claim 1, wherein the specific frequency is set to be higher than 2Hz, and the amplitude of the active detection signal is in the range of 0.1% to 5% of the rated capacity of the distributed control node.
9. 9. The method for controlling multi-source information fusion for improving stability of a power system according to claim 3, wherein the step of fusing the phase context parameters to adaptively adjust the control strategy of the control command comprises adopting the control strategy with the reactive power regulation voltage as a main dimension when the phase context parameters indicate that the local power grid is of high reactance resistance ratio characteristic, and switching to the control strategy with the active power regulation voltage as a main dimension when the phase context parameters indicate that the local power grid is of high reactance resistance ratio characteristic.
10. 10. The method of claim 3, wherein the step of merging the phase context parameters to adaptively adjust the control strategy of the control command comprises dynamically assigning weights of the active power control component and the reactive power control component included in the control command in the voltage adjustment according to the current value of the phase context parameters.

Description

Multisource information fusion control method for improving stability of power system Technical Field The invention relates to a multisource information fusion control method for improving stability of an electric power system, and belongs to the technical field of decentralized control of the electric power system. Background In the current power system, a distributed control system is a common technology for ensuring that a plurality of distributed control units cooperatively operate and maintaining stable system frequency and voltage, in a power grid environment taking a large synchronous generator as a main part, the total inertia of the system is large, the power grid characteristics are relatively stable and predictable, under the condition, the distributed control unit generally adopts a control law based on local measurement fixed parameters to perform stable control, the mode proves effective in specific application, however, as high-proportion new energy is connected into the power grid through an inverter, the dynamic characteristics of the power system change, the total inertia of the system shows a trend of real-time change and gradually decreasing, the assumption that the power grid characteristics relied on by the traditional distributed control are constant is not fully applicable, and the principle constraint problem is caused that the control parameters of a distributed control node such as control gain are usually calibrated under the power grid state of high inertia and high rigidity, when the system is switched to the low and low state under the condition that the node cannot be known in time due to factors such as fluctuation of the new energy, if the node continues to design the control gain for the power grid with fixed control gain, the node is easy to respond to generate excessive rigidity response. In order to solve the problem, the prior art tries to construct a high-speed and wide-area communication system to acquire global state information, but this brings about engineering application barriers such as higher deployment cost, communication delay, network safety and the like, while another thought is to estimate the power grid characteristics by adopting a passive observation algorithm purely based on local measurement, and the interference of the power grid background noise and disturbance signals thereof is easy to cause the real-time performance and reliability of the estimation result to be difficult to meet the requirement of partial dynamic control, besides the defects of direct sensing and communication architecture on the power grid rigidity characteristics, the present software layer for making an auxiliary control decision by using multi-source data effectively and reliably has the fundamental defect, for example, the Chinese patent publication No. CN120449091A discloses a multi-source data fusion method and a real-time device of an electric power system, the method aims at improving the inherent data self-adaptive weight of the dynamic data distribution and the dynamic data, and the invention is not only based on the dynamic data, but also has the aim of realizing the real-time-entropy-phase distribution of the current dynamic data, but also has the aim of improving the inherent data quality-to be matched with the real-time-phase-to realize the real-time performance of the dynamic data, so that the dynamic data is not required by the dynamic data distribution and the dynamic data, and the real-time data is not distributed by the dynamic data, and the inherent-phase-entropy-based on the method is not required by the dynamic data, this means that as soon as strong adjacent frequency disturbances or background noise occur in the actual power system operation, the characteristic data which are the basis for the control are contaminated in real time. Therefore, how to enable each local node in the distributed control system to autonomously perceive the key characteristics of the local power grid in a low-cost and high-real-time mode on the premise of not depending on high-speed global communication becomes the technical problem to be solved by the invention. Disclosure of Invention The invention provides a multisource information fusion control method for improving stability of a power system, and mainly aims to solve the problems that control parameters are mismatched and system oscillation is easy to induce due to lack of real-time perception of rigidity characteristics of a power grid by a distributed control node in the background art. In order to achieve the above object, the present invention provides a multi-source information fusion control method for improving stability of an electric power system, which is executed on at least one decentralized control node of a decentralized control system of the electric power system, and includes the following steps: acquiring local conventional state measurement of the distributed control node, and determining a state error