KR-102961630-B1 - System and method for diagnosing premises equipement using a reactive power controller

KR102961630B1KR 102961630 B1KR102961630 B1KR 102961630B1KR-102961630-B1

Abstract

A system and method for diagnosing on-premises system equipment utilizing a reactive power adjustment device are provided. An equipment diagnosis method according to an embodiment of the present invention applies reactive power to equipment while varying it, calculates the responsiveness of the equipment according to the change in reactive power, and predicts the degree of deterioration of the equipment from the reactive power applied to the equipment and the calculated responsiveness of the equipment. By doing so, the cost of constructing an equipment diagnosis system for industrial low-voltage consumers and the cost required for the installation and calibration of sensors required for this purpose can be saved.

Inventors

박승현
김용호
권기웅

Assignees

한국전자기술연구원

Dates

Publication Date: 20260507
Application Date: 20241230

Claims (12)

A step of applying reactive power to the equipment while varying it; Step of acquiring power quality data of the facility; A step of calculating the responsiveness of the equipment according to changes in reactive power from acquired power quality data; A step of generating statistical data on the power quality data of the equipment based on changes in reactive power; A step of predicting the degree of deterioration of the equipment based on acquired statistical data; A step of accumulating the reactive power applied to the equipment and the calculated reactivity of the equipment by matching them to the predicted degree of deterioration of the equipment; A step of generating an equipment deterioration prediction model based on accumulated results; A step of applying reactive power to the equipment while varying it; Step of calculating the responsiveness of the equipment according to changes in reactive power; The method includes the step of predicting the degree of deterioration of the equipment from the reactive power applied to the equipment and the calculated reactivity of the equipment using an equipment deterioration prediction model. The reactivity of the equipment is, It is a change in the power factor of the equipment, and Statistical data on the power quality data of the facilities is, A method for diagnosing equipment characterized by the number of operating cycles and durations for each operating cycle according to the power quality level of the equipment.
delete
delete
delete
In claim 1, The operating cycle is, It is the interval from when the power quality level of the facility changes from the previous power quality level until when it changes to the next power quality level, and The number of operating cycles by power quality level is, It is the number of times the operating cycle is counted by power quality level, and The duration is, A method for diagnosing equipment characterized by a continuous time during which the operating cycle does not change.
In claim 5, The degree of deterioration of the equipment is, A method for diagnosing equipment characterized by a positive correlation with the variance of the number of operating cycles for each power quality level of the equipment.
In claim 6, The degree of deterioration of the equipment is, A method for diagnosing equipment characterized by a positive correlation with the variance of durations by power quality level and operation cycle of the equipment.
In claim 1, The power quality data acquisition stage of the facility is, A step of collecting power quality data at a metering point connected to the equipment; A method for diagnosing equipment characterized by including the step of extracting power quality data of equipment from power quality data of collected measurement points.
In claim 1, Power quality data, A method for diagnosing equipment characterized by including at least one of voltage, current, active power, reactive power, phase, apparent power, power factor, load imbalance, and voltage distortion.
A communication unit connected to a reactive power regulator; A processor comprising: applying reactive power to equipment while varying it through a communication unit; acquiring power quality data of the equipment; calculating the responsiveness of the equipment according to the change in reactive power from the acquired power quality data; generating statistical data regarding the power quality data of the equipment according to the change in reactive power; predicting the degree of degradation of the equipment based on the acquired statistical data; matching the reactive power applied to the equipment and the calculated responsiveness of the equipment with the predicted degree of degradation of the equipment and accumulating them; generating an equipment degradation prediction model based on the accumulated results; controlling a reactive power adjustment device to apply reactive power to the equipment while varying it through a communication unit; calculating the responsiveness of the equipment according to the change in reactive power; and predicting the degree of degradation of the equipment from the reactive power applied to the equipment and the calculated responsiveness of the equipment using the equipment degradation prediction model. The reactivity of the equipment is, It is a change in the power factor of the equipment, and Statistical data on the power quality data of the facilities is, A facility diagnostic system characterized by the number of operating cycles and durations for each operating cycle according to the power quality level of the facility.
A step of applying reactive power to the equipment while varying it; Step of acquiring power quality data of the facility; A step of calculating the responsiveness of the equipment according to changes in reactive power from acquired power quality data; A step of generating statistical data on the power quality data of the equipment based on changes in reactive power; A step of predicting the degree of deterioration of the equipment based on acquired statistical data; A step of accumulating the reactive power applied to the equipment and the calculated reactivity of the equipment by matching them to the predicted degree of deterioration of the equipment; The method includes the step of generating an equipment deterioration prediction model based on accumulated results; The reactivity of the equipment is, It is a change in the power factor of the equipment, and Statistical data on the power quality data of the facilities is, A method for generating an equipment degradation prediction model characterized by the number of operating cycles and durations for each operating cycle according to the power quality level of the equipment.
A communication unit connected to a reactive power regulator; A processor comprising: controlling a reactive power adjustment device to apply reactive power to equipment while varying it through a communication unit; acquiring power quality data of the equipment; calculating the responsiveness of the equipment according to changes in reactive power from the acquired power quality data; generating statistical data regarding the power quality data of the equipment according to changes in reactive power; predicting the degree of degradation of the equipment based on the acquired statistical data; matching the reactive power applied to the equipment with the calculated responsiveness of the equipment to the predicted degree of degradation of the equipment and accumulating them; and generating an equipment degradation prediction model based on the accumulated result. The reactivity of the equipment is, It is a change in the power factor of the equipment, and Statistical data on the power quality data of the facilities is, A system for generating an equipment degradation prediction model characterized by the number of operating cycles and durations for each operating cycle according to the power quality level of the equipment.

Description

System and method for diagnosing premises equipment using a reactive power controller The present invention relates to equipment diagnostic technology, and more specifically, to a system and method for diagnosing deterioration and abnormalities in equipment within an industrial low-voltage consumer's premises. To diagnose equipment, it is necessary to collect operational data through various sensors. In the case of motor equipment primarily found in low-voltage industrial facilities, sensors must be installed to collect data such as vibration and temperature. However, since vibration and temperature sensors often require periodic calibration, additional labor time and costs are anticipated when managing multiple pieces of equipment. In addition to the installation and calibration of sensors, diagnostic technology tailored to the equipment is required; therefore, for customers with diverse equipment, the cost of establishing a diagnostic system inevitably places a significant burden. Fig. 1. Example of a power system to which the on-premises system equipment diagnosis method using a reactive power regulator is applied. Fig. 2. Types of power quality data FIG. 3. Flow of a method for diagnosing on-site system facilities using a reactive power adjustment device according to an embodiment of the present invention Fig. 4. Cumulative data for equipment deterioration prediction Fig. 5. Configuration of the equipment diagnostic system The present invention will be described in more detail below with reference to the drawings. An embodiment of the present invention presents a system and method for diagnosing on-premises system equipment utilizing a reactive power regulator. It is a technology that predicts the degree of deterioration of equipment based on reactive power regulation and the resulting change in equipment responsiveness, utilizing a reactive power regulator of an on-premises system of an industrial low-voltage consumer. Unlike existing technologies that utilize sensors for measuring equipment degradation data, the embodiment of the present invention diagnoses equipment degradation and abnormalities by sharing power quality data measured from reactive power regulators already installed for power quality management of the on-site system. In particular, in the embodiments of the present invention, proxy variables that can indirectly indicate the deterioration of the equipment, rather than variables that directly indicate the deterioration, are analyzed using statistical methods to generate a deterioration prediction model, which is then utilized for diagnosis. FIG. 1 is a diagram illustrating a power system to which an embodiment of the present invention is applicable. The power system to which an embodiment of the present invention is applicable is configured to include reactive power adjustment devices (10), MCCBs (Molded Case Circuit Breakers) (20), equipment (30), and an equipment diagnostic system (100). The reactive power adjustment devices (10) are devices for measuring power quality data at measurement points (green) and adjusting the reactive power of the system, and are connected to branch lines that supply power to facilities (30) through MCCBs (20). The equipment diagnostic system (100) collects power quality data measured by reactive power adjustment devices (10), extracts power quality data of equipment (30) connected to the measurement point, and diagnoses deterioration and abnormalities of the equipment (30) using the extracted power quality data. Since the power quality data of the measurement point consists of power quality data of the equipment (30) connected to the measurement point, it is possible to extract power quality data of the equipment (30) connected to the measurement point from the power quality data of the measurement point by utilizing a previously disclosed data extraction algorithm and clustering technique. Power quality data includes voltage, current, active power, reactive power, and phase, and through calculation, apparent power, power factor, load imbalance, voltage distortion, etc. are added. Figure 2 shows power quality data, and as illustrated, data is accumulated by time and by facility. For the diagnosis of the equipment (30), the equipment diagnosis system (100) first generates/updates an equipment degradation prediction model based on the power quality data of each equipment (30), and uses this to predict the degree of degradation of each equipment (30) from the power quality data of each equipment (30). This process will be explained in detail below with reference to FIG. 3. FIG. 3 is a diagram illustrating the flow of a method for diagnosing on-site system equipment using a reactive power adjustment device according to an embodiment of the present invention. In order to diagnose deterioration and abnormalities of the equipment (30), the equipment diagnosis system (100) as described controls the reactive power adjustment devices (100) to change the reactive po