Substation Equipment Maintenance Research Articles

Development of A Vertical Wire Clamp Mechanism and Wiring Device

With the improvement of social productivity, high-quality power supply is the main requirement for the power industry. To ensure the stability of power supply, power supply companies need to regularly maintain and repair power equipment, during which the use of grounding wire devices is necessary to protect the working process of maintenance personnel. The existing TV, lightning arrester, and circuit isolation switches of 110kV and above grades in substations mostly use the vertical wire connection method to connect with the equipment. During equipment maintenance, there is a risk of virtual connection and dropping when maintenance personnel install grounding wires on such wires, which threatens the safety of the power grid and personnel. To ensure smooth and stable substation equipment maintenance, a vertical wire clamp mechanism and wiring device have been developed, which not only improves the efficiency of maintenance operations and reduces the labor intensity of maintenance personnel but also reduces the work risks during maintenance operations, and is worth promoting in the industry.

Research on load transfer planning model for equipment maintenance in the substation

The maintenance, inspection, and refurbishment of substation equipment are crucial for ensuring the stability of the power grid’s operation and the reliability of power supply to users. However, currently, there is a lack of methods for rapidly and effectively planning load transfer solutions during substation equipment maintenance periods. To address this, this study is founded on the principles of transmission network planning theory, and an analysis of the similarities and disparities between the planning methods for load transfer solutions during substation equipment maintenance and traditional approaches to transmission network planning is conducted. Furthermore, this paper integrates practical constraints related to maintenance engineering and power grid load flow balance constraints. With the primary optimization objectives of minimizing investment and operational costs during system maintenance while maximizing power grid reliability, a load transfer planning model for equipment maintenance in the substation has been developed. Simultaneously, in conjunction with linear programming theory, the nonlinear constraint terms of the model have been equivalently simplified to enhance the computational performance of the model. Simulation analysis is conducted on case studies constructed based on the IEE-RBTS6 and IEEE-RTS79 systems to validate the effectiveness of the proposed model in solving the optimal maintenance planning problem.

Smart grid substation equipment maintenance management functionality based on control center SCADA data

Classic approach to preventive maintenance of equipment in power system substations was based on periodical maintenance according to regulations and best practices recommended by vendors. SCADA system in HOPS is used primary for real-time monitoring and control of the equipment in substations. Real time data available in SCADA databases contain useful information for substation maintenance optimization based on operational conditions. Malfunctions and failures in the substations are monitored via SCADA system. Analyses of these data can be used to evaluate maintenance strategy and plan the reconstructions and replacement of the equipment. This article presents current maintenance management approach in HOPS, which is the only transmission system operator in Croatia, and possible improvements in efficiency of equipment maintenance using SCADA data. Prerequisite for the analyses of these kinds of data is standardization and unification of information names and structures. HOPS put a lot of effort in standardization of SCADA data during last refurbishment of control centers. Use of SCADA data for analysis drives the need for standardization and vice versa. Examples of statistical analyses of the SCADA data are done on multiple levels. High level analyses is used to provide the global overview of the real time data. It can point to suspicious information that require detailed analyses. The signals that appear often in the list can indicate that there is a problem in the primary equipment, monitoring system or alarm configuration. Low level analyses can be done on target information important for equipment maintenance. In this paper some low level analyses are presented for switching equipment, transformer lifetime, equipment in operation, and tap changer operation. An analysis is made for number of switching operations for breakers and disconnectors in different operational conditions. Preventive maintenance should be done based on number of switching in normal operations and even more often for breakers that are often interrupting fault current. SCADA data can be used for availability of the equipment and duration of failures thus providing valuable information to managers. An analysis on RTU communication availability is shown.

Application of Optimization Technology for Overhaul Decision of Substation Equipment Based on Machine Learning

With the continuous improvement of living standards and the continuous increase of electricity load, the number of power transmission and transformation equipment also increases rapidly. The original maintenance mode is not enough to guarantee the safe operation of the huge power grid. This paper mainly studies the research and application of machine learning based maintenance decision optimization technology for substation equipment. Starting from the technical principles of online monitoring and condition maintenance of substation equipment, this paper has realized an intelligent monitoring and maintenance early warning system combined with deep learning model. The main functions of this system include monitoring device management, operation monitoring and comprehensive display, etc., which can effectively carry out online monitoring and state early warning of substation equipment. It greatly improves the intelligent degree of operation and management of substation equipment, saves the cost of traditional manual monitoring, and effectively prevents the economic loss caused by substation equipment failure, which has far-reaching significance for promoting the construction of smart power grid.

Research on Full Link Intelligent Control Platform for Substation Maintenance through Edge-Aware

In view of the imperfect process control, safety control and data control in substation maintenance operation, this paper proposes a full link intelligent control platform for substation maintenance operation based on edge-aware. The platform is composed of on-site edge-aware system and big data decision service system. The on-site edge-aware system uses various intelligent tools to collect data, carries out real-time safety behavior early warning, maintenance quality control and maintenance process supervision through edge computing technology, and uploads the analyzed and processed information to the big data decision service system. The big data decision service system provides support for online decision-making of substation equipment maintenance according to the panoramic multi-source information of the maintenance site provided by the site edge perception system. The full link intelligent control platform for substation maintenance operation has built a control system for real-time control of on-site maintenance operation process, on-site maintenance information and on-site maintenance safety information, which improves the management efficiency of substation maintenance on-site operation and enhances the safety guarantee of maintenance operation.

Algorithm for testing digital substation protection devices in conditions of network distortions in the process bus

The article deals with the digital substation equipment maintenance. Equipping the electrical substations secondary circuits with intelligent electronic devices (IEDs) is an important direction in the electric power industry digital transformation. The purpose of the work is to develop an algorithm for testing digital substation protection devices for the influence of network distortions in the process bus. The tasks are to identify the main distortion types, determine the maintenance content and test it. The need to expand the existing service is determined, the maintenance algorithm is developed and a pilot test of the network distortions effect on the IED protection functions is performed.

Research on Simulation Training System for Substation Equipment Maintenance

Substation equipment is the core component of substation. The occupational skill level of the operation and maintenance personnel is directly related to the safe and stable operation of power grid. Obviously the training for substation equipment maintenance is essential. Virtual simulation training platform for substation equipment maintenance is an effective tool to improve the practical skills of maintenance personnel. Therefore, a realization scheme of the substation equipment maintenance simulation training system is mainly researched in this paper. By configuring maintenance tasks and equipment defects, the automatic generation of equipment maintenance virtual operation scenes and three-dimensional equipment models can be realized in the training system, thereby accomplishing flexible configuration of training tasks. Besides, trainees can be evaluated via the establishment of the maintenance evaluation model. In the actual training application, the equipment patrol and inspection as well as the maintenance process are simulated in the virtual substation scene, which can effectively improve the maintenance skill training effect.

The Security Analysis of Movable Self-enlargement Workshop Based on Finite Element Method under Severe Environment

As the basic assistive device of substation equipment maintenance, the movable workshop in substation plays an important role to ensure the security of power system construction and the reliable operation of the substation equipment. In order to meet the actual needs of on-site maintenance of substation equipment, this paper designs a kind of movable and self-enlargement workshop, which has the characteristics of low cost, one-touch control, excellent insulation, easy operation as well as high security. The finite element model of the workshop is elaborated under the circumstance of wind, snow and other extreme condition; then the maximum displacement and ultimate stress of the workshop are calculated considering the extreme condition. The results indicate that the designed workshop greatly meets the security and reliability in substation under severe environment.

RFID Enabled Framework for Substation Maintenance Management

Objectives: Effective substation maintenance management based on low cost and reliable Radio Frequency Identification (RFID) enabled implementation framework. Methods/Statistical Analysis: Economical operation of substation by minimizing the equipment maintenance cost is the prime concern for all the power distribution utilities. Number of maintenance management strategies has been developed for optimizing the substation equipment maintenance cost. Effectiveness of these optimized maintenance strategies lies on the actual implementation in the field. Currently equipment maintenance activities are carried out with off-line association with equipment. Also, equipment maintenance data is acquired and populated manually into host computer which is running maintenance cost optimization applications. Inherently manual process suffers from various drawbacks and results in poor maintenance management. RFID based technology along with embedded system is identified for making the above off-line process into an on-line process with data integrity. Findings: Present paper proposes a Radio Frequency Identification (RFID) enabled implementation framework to perform the maintenance with on-line association with equipment. This allows on-line access with the equipment and eliminates the manual process of acquiring data from equipment at the substation level. Also, ensures the on-line update of pre-maintenance and postmaintenance information of equipment in the Computerised Maintenance Management System (CMMS). Conventional RFID readers which are based on multi-purpose hand-held computers are driven by high level operating systems and programming languages. Due to high level system software on handheld readers, the network latency increases and data refresh rate decreases. This paper proposes a low cost microcontroller based RFID reader with up-stream data interface using low level network programming to address the above issues. Host computer data interface is implemented using a TCP/IP protocol which assures the data integrity. The low level programming at the host computer for network communication minimizes the network latency in the data transfer and improves the data refresh rate. Maintenance process with RFID framework is designed and explained. Application/Improvements: Maintenance management strategies can be implemented effectively using the proposed RFID enabled framework with customized RLU along with low level network interface to CMMS. Present implementation based on Ethernet interface over TCP/IP can be extended seamlessly for wireless (Wi-Fi) as well. Keywords: JSP, Maintenance, RFID, Substation, TCP/IP

Networked Closed-Loop Model for Smart On-Site Maintenance of Substation Equipment Using Mobile Networks

This paper introduces a networked closed-loop model for smart on-site maintenance of substation equipment using mobile networks, which is composed of a field-side Smart Operation and Maintenance (SOM) box with its related APP and a centre-side system platform for Operation and Maintenance (OM). As a bridge to connect the operation sites and data centre, the networked equipment maintenance model enables bidirectional communication among the management, maintenance teams, and diversely located equipment. This model not only realizes the formal data uploading in real-time, but also can provide the workers on site with guidance from the data centre.

Lifetime efficiency index model for optimal maintenance of power substation equipment based on cuckoo optimisation algorithm

This study presents a lifetime efficiency index model for substation equipment and proposes an appropriate method for the optimal maintenance of substation equipment. Along the substation equipment lifetime, due to ageing and daily operations, the failure rate increases gradually. So it is needed to do a maintenance strategy for the aim of reduction in the failure rate and improvement in the reliability of equipment. The maintenance strategy for substation equipment typically consists of preventive and corrective maintenance. By the lifetime efficiency index, one can analyse the lifetime of the equipment under the conditions of with and without maintenance. In this study, the failure rate of the equipment is modelled by the appropriate Weibull distribution. Maintenance can keep equipment in normal condition, but it incurs cost. The maintenance strategy should be optimised for the minimum maintenance cost under the required reliability condition. In order to solve this objective problem, a cuckoo optimisation algorithm (COA) is used and results are evaluated. The results based on an example show that the proposed COA was indeed capable of obtaining higher quality solutions than other methods for the optimal maintenance.

Integrated power transformer diagnosis using hybrid fuzzy dissolved gas analysis

For diagnosing power transformer faults, this study uses hybrid fuzzy technology to integrate five dissolved gas analysis (DGA) approaches: IEEE Standard Doernenburg and Roger ratio methods, IEC60599 Standard ratio method, Electric Technology Research Association of Japan (ETRAJ) Standard ratio method, and Duval triangle method. The IEC TC 10 database and substation equipment maintenance and management web system (SEMMWS) of Taiwan Power Company (TPC) are then used for simulation and verification. Practical cases demonstrate that the integrated approach is more accurate than conventional methods. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Recent Trend of Substation Equipment Maintenance

Recent Trend of Substation Equipment Maintenance