Grid Maintenance Research Articles

Risk Analysis about Operation of UHV Power Grid Operation and Maintenance Based on Security Benchmarks

For high risk issues of UHV power grid construction and operation in considering the economic premise, based on the requirements of grid construction security baseline. The various factors affecting the risk is scoring by strict rules. Various factors characteristic index value can be drawn and create a collection of various factors affecting the risk. Then referring to safety baseline of grid construction, the risks that exist in construction and operation of the power grid is determine. According to a number of factors, the risk values is divided into the corresponding level of risk. The different level of risk should take appropriate measures to achieve as much as possible to reduce risk and protect the power grid construction and operation security. Finally, the method is proved to be operability in the context of economic in practice.

The Application Research of Current Protection Device in Low-Voltage Rural Grid

Current protective device against direct and indirect electric shock as well as effective protection against electrical fires has been widely used in the rural power grid, but there is also a more prominent issue. Residual current protection device in use often appearing malfunction, tripping phenomenon has seriously affected the security and stability and reliability of power supply and low voltage distribution systems. In this paper, it should be from a low-voltage distribution systems and wiring protection devices, power grid maintenance operation, standardized management products, technical training and promotion of social workers and other aspects of a comprehensive solution to this problem; and presented on the remaining current protection device applications, some of the views.

전력 보조서비스 제공을 위한 전기자동차 충/방전 최적화

Electric vehicles should be connected to power system for charge and discharge of battery. Besides vehicle"s battery is charged for a power source, it is also reversibly possible to provide power source from battery to power system. Researches on battery usage for regulation resources have been progressed and could cause cost increase excessively because they distribute regulation capacity equally without considering the battery wear cost of SOC, temperature, voltage and so on. This causes increase of grid maintenance cost and aggravate economical efficiency. In this paper it is studied that the cost could be minimized according to the battery condition and characteristic. The equation is developed in this paper to calculate the possible number of charge and discharge cycle, according to SOC level and weighting factors representing the relation between battery life and temperature as well as voltage. Thereafter, the correlation is inferred between the battery condition and wear cost reflecting the battery price, and the expense of compensation is decided according to the condition on battery wear-out of vehicle. In addition, using realtime error between load and load expectation, it is calculated how much regulation capacity should be provided.

Analysis of UHV Power Grid Operation and Maintenance System Construction and Optimization Strategy - Taking Shan-Xi UHV Grid as an Example

Compared with the traditional power grid, UHV power grid has the character of stronger system function, higher control requirement, and also set a higher request to the daily maintenance management. The operation and maintenance experience of Shan-xi province electric power company on the UHV power grid proved the importance of establishing the new mode of management, strengthening the application of automation technology, and guarenteeing the technology and resources . In order to improve the efficience and quality of UHV power grid operation and maintenance, we should speed up the formulation of operation guidelines for UHV live working and strengthen personnel training and reserve technical talents.

Optimization Model and Algorithm for Smart Distribution Grid Maintenance Scheduling

According to the actual situation of maintenance scheduling for distribution network, with the development of smart distribution grid, a maintenance scheduling optimization model which aims at taking the minimum electricity quantity caused by maintenance interruption without violating any constraints is proposed in this paper. Considering the actual situation, the temporary maintenance application and the maintenance status of equipment (outage or charged) are proposed in the objective function. In terms of constraints, leading in emergency degree constraint makes it possible that the maintenance scheduling can be sequenced according to orders of priority, which conforms to the development of smart distribution grid better. Then by use of improved genetic algorithm the optimization problem is solved. The test results show that the proposed model and algorithm can effectively solve the maintenance scheduling optimization problem.

PSO and OCCI-Based Grid Maintenance Scheduling Management and Optimization System

Smart grid is an inevitable choice for the future development of the grid. Smart scheduling is one of the cores to build the strong and smart grid in China. Optimization and Management System for Grid Maintenance Scheduling is an in-depth exploration to achieve dispatching digitalization, intellectualization and visualization. This paper gives a rather detailed description about the functionality and implementation of Optimization and Management System for Grid Maintenance Scheduling. With received maintenance schedules as the basic data, OCCI-based data processing techniques and PSO-based optimization methodology are adopted to achieve the standardization and intellectualization of the grid maintenance scheduling. Moreover, the maintenance schedules generated and related information are managed in a standardized way. The design from this paper together with its programs has been applied in practice, achieving satisfying effect.

Research of the Maintenance Scheduling Optimization Considering the Grid Risk

At present the research of power grid maintenance scheduling is mostly focused on reducing the maintenance costs or improving the reliability, which ignores the potential risk of power grid during repairing to a certain extent. Considering the potential risks of power grid and users fully, a new optimization model is built here. The model’s objective function is the minimum of the comprehensive risk cost caused by maintenance, the constraint conditions are list as synchronous overhaul, mutually exclusive overhaul, security checking and resource requirement and so on. The improved particle swarm algorithm is chosen to achieve a better convergence here. The analysis of the RBTS system example verifys the effectiveness of the model and algorithm.

Dynamic Model of an HTS Cable for Power Grid Simulation

Abstract Electric power utilities usually use conventional grid simulators to perform simulations for grid design, operation and maintenance studies. Connection of superconducting devices, such as HTS cables, to real grids addresses the need for including specially-designed models in such studies. A 1G HTS cable user-written model suitable for dynamic simulations is developed and it is applied in a sample test grid to analyze its dynamic behavior under fault conditions.

Power Grid Maintenance Scheduling Intelligence Arrangement Supporting System Based on Power Flow Forecasting

With the development of intelligent dispatching, the intelligence level of network control center full-service urgent need to raise. As an important daily work of network control center, the application of maintenance scheduling intelligent arrangement to achieve high-quality and safety operation of power grid is very important. By analyzing the shortages of the traditional maintenance scheduling software, this paper designs a power grid maintenance scheduling intelligence arrangement supporting system based on power flow forecasting, which uses the advanced technologies in maintenance scheduling, such as artificial intelligence, online security checking, intelligent visualization techniques. It implements the online security checking of maintenance scheduling based on power flow forecasting and power flow adjusting based on visualization, in order to make the maintenance scheduling arrangement moreintelligent and visual.

Grid Operation and Maintenance Station Locating with Electricity Materials Based on Improved k-Means Algorithm

Under the grid integrated control management mode, operation and maintenance station location has been the key to ensure the stable operation of the grid system. Based on grid line cost minimization of operation and maintenance station and a k-means algorithm, an operation and maintenance station location model is established. Through the practical example, the model makes operation and maintenance station location rational and scientific under considering the operation and maintenance line materials cost between substations. The electricity materials play important roles in the study and some study will be put on it.

Dynamic Simulation of HTSC Cables With a Conventional Simulation Program

The recent development, achieved on SC devices for grid applications, requires the support of design tools in order to establish the impact of these new devices on the operation of the electrical system. Classically, standard simulation programs are used in grid design and maintenance by the utilities; but these new devices require user written models, compatible with the grid simulators. In this paper, a user written model for the integration of superconducting cables in the grid, with the capacity to simulate dynamic behavior, is presented. Results of the simulations are presented which refer to the overall grid performance.

Towards ambient communication support for power grid maintenance and repair

Abstract In the power industry various companies have a crucial responsibility of sustaining infrastructure for electricity service. Maintenance and repair of electrical devices out in the field is potentially dangerous and sometimes complicated in nature. Effective and safe fieldwork requires clear and accurate communication between fieldworkers repairing and maintaining devices outdoors and operators monitoring and controlling the power grid in a control room. Operators and fieldworkers have to synchronize their activities for maintaining steady electricity service. Current Information and Communication Technology (ICT) support for fieldwork consist of mobile phones, mobile software applications and workforce management systems, but much of the necessary communication is still conducted orally over the phone. We propose ambient communication support that improves communication between operators and fieldworkers by digitalizing and automating trivial messaging. The concept is based on mobile navigation and work order management application, image-processing techniques for wearable sensor based activity recognition methods. In theory we can eliminate three of eight logical steps in a typical work scenario. We present work-in-progress in form of preliminary prototypes and discuss the technological advances needed to make the concept real.

Historical review of development of barrier protection systems for preserved wooden poles

Barrier protection systems (BPS) prevent poles rotting in soil. Their ability to reduce grid maintenance costs of electricity distribution poles is proven, while they also conserve forest resources and prevent soil pollution by preservatives otherwise leached from the poles. Furthermore, BPS permit reduced preservative loadings in poles and all these advantages in times of rising oil prices and power outages caused the American Wood Protection Association to introduce new pole standards recognising BPS. At this time, however, the origins and development of BPS have never been comprehensively described; therefore, the purpose of this review is to provide that clarity and explain the function of the system for readers not specialised in the microbiology of pole decay.

Monthly electric energy demand forecasting with neural networks and Fourier series

Medium-term electric energy demand forecasting is a useful tool for grid maintenance planning and market research of electric energy companies. Several methods, such as ARIMA, regression or artificial intelligence, have been usually used to carry out those predictions. Some approaches include weather or economic variables, which strongly influence electric energy demand. Economic variables usually influence the general series trend, while weather provides a periodic behavior because of its seasonal nature. This work investigates the periodic behavior of the Spanish monthly electric demand series, obtained by rejecting the trend from the consumption series. A novel hybrid approach is proposed: the periodic behavior is forecasted with a Fourier series while the trend is predicted with a neural network. Satisfactory results have been obtained, with a lower than 2% MAPE, which improve those reached when only neural networks or ARIMA were used for the same purpose.

X3D Moving Grid Methods for Semiconductor Applications

The Los Alamos 3D grid toolbox handles grid maintenance chores and provides access to a sophisticated set of optimization algorithms for unstructured grids. The application of these tools to semiconductor problems is illustrated in three examples: grain growth, topographic deposition and electrostatics. These examples demonstrate adaptive smoothing, front tracking, and automatic, adaptive refinement/derefinement.