Oil-immersed distribution transformer remote control system based on CoDeSys

Abstract

The invention discloses a CoDeSys-based remote control system for an oil-immersed distribution transformer, and the system achieves the remote sensing and intelligent regulation and control of the operation power of the oil-immersed transformer through the construction of a mechanical and electrical integrated circuit, and the mechanical and electrical integrated circuit is in cooperative linkage with a PLC remote controller, a ZigBee wireless sensor and an upper computer node. According to the system, the functions of data acquisition, protocol conversion (RS232) and analog / digital quantity input and output are integrated in the PLC control host, and the ZigBee main control chip and the sensor center are combined, so that the real-time wireless feedback of the running state of the transformer is realized. The control program is automatically compiled and generated according to a CoDeSys platform, multi-language real-time response is supported, and the program execution accuracy and the system response efficiency are improved in combination with a numerical value conversion and error verification mechanism. Experiments show that the system can complete power adjustment within 5 seconds, controls the power factor to be stabilized at more than 0.96, has strong control precision, response capability and integration flexibility, and significantly improves the intelligence and operation and maintenance efficiency of the oil-immersed transformer.

Description

Technical Field

[0001] The present invention relates to a remote control system for an oil-immersed distribution transformer, in particular to an intelligent monitoring and control system for an oil-immersed distribution transformer that integrates programmable control and wireless communication based on the CoDeSys platform, belonging to the technical field of power automation and remote monitoring and control systems. Background Art

[0002] Oil-immersed distribution transformers are critical equipment at the end of the power grid, and their operating status has a direct impact on power supply stability and power system security. With the advancement of power automation, traditional transformer management methods have gradually exposed numerous shortcomings, such as high on-site operation risks, difficulty in real-time monitoring of operating status, and weak remote debugging capabilities. Particularly in high-temperature, high-load, and fault-sensitive environments, traditional monitoring methods suffer from delayed response and imprecise control, making them unable to meet the intelligent, secure, and responsive requirements of modern distribution systems. Currently, some systems utilize PLCs for remote control or wireless communication methods such as ZigBee for preliminary monitoring. However, these systems still suffer from significant shortcomings in system integration, program adaptability, and control closed-loop efficiency. These systems often suffer from complex programming, redundant wiring, untimely power adjustments, and a lack of fault prediction capabilities, making them difficult to adapt to the engineering requirements of multi-node, modular, and high-frequency regulation. Therefore, developing a remote control system for oil-immersed transformers that integrates power sensing, communication control, program compilation, and remote scheduling is crucial for improving operational efficiency, control accuracy, and system stability. Summary of the Invention

[0003] To simplify the structure of a remote control system for oil-immersed distribution transformers, improve the system's response speed and control accuracy, avoid problems such as complex wiring, delayed response, and poor data processing capabilities in traditional systems, and enhance the safety and reliability of equipment operation, the present invention provides a control and design strategy for a remote control system for oil-immersed distribution transformers based on the CoDeSys platform. This system features modularity, strong real-time performance, and a rich set of interfaces, overcoming technical bottlenecks in existing remote control systems, such as low integration, cumbersome debugging, and untimely power adjustment.

[0004] The CoDeSys-based oil-immersed distribution transformer remote control system mentioned above adopts an integrated circuit structure. It builds a stable power regulation loop through multiple groups of capacitors, resistors, inductors, and TW and TQ adjustment devices to achieve dynamic regulation and protection of the transformer power supply path.

[0005] In the above-mentioned remote control system, the PLC control module is based on the LM3109 control host, integrating RS232 communication conversion, RTU slave port, AI / AO and DI / DO functional interfaces. It realizes remote power data acquisition and program logic control through the CoDeSys platform, and has high reliability, high response rate and multi-channel support capabilities.

[0006] The ZigBee control sensor supporting the above system consists of a ZigBee host, a sensor processing center and a CC2503 chip. It can complete the remote collection and transmission of power status through the TX, RX and GND three-wire interface, ensuring the real-time and integrity of transformer status information.

[0007] The above system is equipped with an upper node module as a subordinate structure of the CoDeSys main program. It has the functions of program parameter setting, operation status diagnosis and sampling arrangement, and supports centralized remote management of multi-node transformer systems.

[0008] The above system uses the CoDeSys control program platform to design and deploy control logic. Through the numerical conversion module and conversion verification mechanism, it ensures the accuracy and stability of the remote control program during dynamic operation, effectively improving the system's automatic control capabilities.

[0009] The beneficial effects of the present invention are as follows: the CoDeSys-based oil-immersed distribution transformer remote control system simplifies the system structure and reduces costs by integrating power sensing, communication and logic control functions into PLC and ZigBee modules; improves the system's response efficiency and control accuracy through modular design and program automatic compilation mechanism; completes power adjustment within 5 seconds, and maintains the power factor above 0.96, significantly improving the reliability and intelligence level of transformer operation, and is suitable for remote control scenarios of various types of distribution transformers. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 Design the overall framework of the control system; Figure 2 Provides circuits for mechatronic operation; Figure 3 This is the connection structure diagram of the PLC controller; Figure 4 This is the structure diagram of the ZigBee control sensor for the remote control system; Figure 5 Principles for arranging machine positions for remote control of electromechanical special equipment. DETAILED DESCRIPTION

[0011] The entire oil-immersed distribution transformer remote control system based on CoDeSys is as follows Figures 1 to 5As shown in the figure, it includes an integrated circuit module, a PLC remote controller, a ZigBee control sensor, an upper-station node module, and a control program module. The system's modular design enables the collection, transmission, control, and display of transformer operating status, improving operational stability and remote response capabilities.

[0012] In the control hardware structure, the integrated circuit module consists of capacitors (C1C4), resistors (R1R3), an inductor (L), and TW and TQ devices. The TW device aggregates the +VCC power signal, forming a multi-level transmission structure to support master control power sensing. The TQ device demodulates the –VDD power signal and cooperates with the DC / AC inverter to achieve power balancing. This circuit ensures power supply stability under high loads and effectively reduces control errors.

[0013] At the data acquisition and control layer, the PLC remote controller is centered around the LM3109 PLC host, integrating an RTU slave terminal, AI / AO and DI / DO interfaces, and an RS232 converter. The main CPU accesses the control program via the RS232 converter module. In the positive connection state, it can directly and precisely adjust transformer power parameters. In the negative connection state, it can indirectly control power parameters by evaluating the electrical energy signals in the circuit. The response end, consisting of a 3109M device and a CYYZ11 interface device, receives commands from the PLC host and feeds them back to the execution module, ensuring stable closed-loop operation of the data acquisition and control link.

[0014] At the wireless sensing layer, the ZigBee control sensor consists of a ZigBee host, a sensor processing center, and a CC2503 chip, responsible for receiving, processing, and outputting power signals. The module connects to the integrated circuit via a three-wire interface: TX, RX, and GND. The HT7533 port ensures continuous power supply and complete signal transmission. The CC2503 chip's response mechanism strictly adheres to CoDeSys programming logic, enabling real-time collaboration with the PLC controller and enhancing the robustness of remote transmission.

[0015] The system display and management layer includes a host node module for remote master program distribution, program parameter setting, operational status diagnosis, and control node placement. This module supports program run results visualization and inter-node data synchronization. It features independent operation capabilities and a dynamic control interface, providing structural support for multi-site deployment and remote maintenance of the system.

[0016] In terms of control logic implementation, the system utilizes the CoDeSys platform as its programming core, employing the ST language to construct logical processes. This system automatically acquires transformer code points and connects to remote controllers to complete real-time program compilation and deployment. During program execution, the system incorporates built-in numerical conversion and verification modules to ensure consistency between physical measurement and logical operations of power signals, improving system response accuracy and data consistency.

[0017] In a typical operating scenario, when a transformer load fluctuation is detected, the ZigBee sensor immediately captures the power change and transmits this information back to the PLC control host. The host, based on the CoDeSys control program, issues real-time adjustment commands, implementing power control through the coordinated TW / TQ devices in the integrated circuit. If the detected value falls within the warning range, the system's onboard module simultaneously initiates a diagnostic program and records the operation log, facilitating remote inspection and tracing by maintenance personnel.

[0018] Through this system design, the present invention implements a fully closed-loop control logic from perception to transmission, control, feedback, and display. The control system can achieve power recovery within 5 seconds, with a stable power factor above 0.96. While ensuring system reliability, this system simplifies the structural design, reduces the cost and complexity of the remote control system, and meets the requirements for intelligent operation of oil-immersed transformers in multiple scenarios.

Claims

1. A remote control system for oil-immersed distribution transformers based on CoDeSys, comprising an integrated circuit, a PLC remote controller, a ZigBee control sensor, and an upper-station node module, characterized in that: The PLC remote controller is connected to the ZigBee control sensor through a communication network. The integrated circuit includes multiple groups of capacitors, resistors, inductors and TW and TQ devices, which are used to realize power regulation and stable power supply of the transformer; the PLC remote controller includes an LM3109 host, an RTU slave end, an RS232 conversion device, AI / AO and DI / DO ports, which realize the collection and remote control of power parameters; the ZigBee control sensor is composed of a ZigBee host, a sensor processing center and a CC2503 chip, which is used to wirelessly collect power information and feed it back to the main control end; the upper machine node module is used for program display, diagnosis and remote node layout; the control logic is programmed based on the CoDeSys platform and supports real-time multi-language compilation to realize remote power regulation of the transformer and automatic program execution.

2. The remote control system according to claim 1, characterized in that: The integrated circuit forms a multi-stage power regulation structure by regulating the voltages of the +VCC and –VDD terminals, combining the TW device for power aggregation and the TQ device for power demodulation, thereby achieving power balance control on the load side of the transformer.

3. The remote control system according to claim 1, characterized in that: The CC2503 chip in the ZigBee control sensor is linked with the CoDeSys control program, which can synchronize program response and sensor instruction feedback based on power status data, thereby improving control timeliness.

4. The remote control system according to claim 1, characterized in that: The CoDeSys control program has built-in numerical conversion modules and verification modules to perform unit conversion and error review on transformer operating parameters, thereby ensuring the accuracy and stability of program execution.

5. The remote control system according to claim 1, characterized in that: The upper machine node module runs independently under the main control program, has automatic diagnosis and node parameter debugging functions, and supports remote debugging and modular deployment.

6. The remote control system according to any one of claims 1 to 5, characterized in that: During operation, the system has the ability to respond and complete power recovery within 5 seconds, and the power factor is maintained above 0.96, realizing efficient and stable remote control of oil-immersed transformers.

Images