Power Grid Accidents Research Articles

State Early Warning Technology for UHV AC Substation Equipment

With the development of UHV power transmission and transformation projects in China, as a key technology to prevent power grid accidents caused by faults of power transmission and transformation equipment, the state early warning technology of UHV AC power transformation equipment urgently needs to carry out and perfect corresponding research. This paper introduces the key technology of state warning for UHV AC substation equipment, and analyzes the principle and method of state alarm technology. And put forward the views on the current problems and future development of UHV AC equipment status warning technology.

Occurrence and countermeasures of urban power grid accident

With the advance of technology, the development of network communication and the extensive use of power grids, people can get to know power grid accidents around the world through the network timely. Power grid accidents occur frequently. Large-scale power system blackout and casualty accidents caused by electric shock are also fairly commonplace. All of those accidents have seriously endangered the property and personal safety of the country and people, and the development of society and economy is severely affected by power grid accidents. Through the researches on several typical cases of power grid accidents at home and abroad in recent years and taking these accident cases as the research object, this paper will analyze the three major factors that cause power grid accidents at present. At the same time, combining with various factors and impacts caused by power grid accidents, the paper will put forward corresponding solutions and suggestions to prevent the occurrence of the accident and lower the impact of the accident.

Design of Auxiliary Decision-Making System for Power Grid Fault Disposal

Accident treatment is the most important part in the daily monitoring, and the improvement of the intelligent level is of great significance to improve the efficiency of scheduling accident and shorten the time of the accident. This paper puts forward a set of intelligent power grid accident treatment decision system, introduces the background of the system, the composition module and the realization of functions, to facilitate the operation of the operator to automatically identify the grid failure, isolation and recovery, reduce the pressure of staff, guarantee the safe and stable operation of the power grid.

CCD Automatic Gain Algorithm Design of Noncontact Measurement System Based on High-speed Circuit Breaker

High-speed breaker is an important device to protect circuit in electric power system. When any malfunction occurs on high-speed breaker, it may cause major power grid accident and lead to serious economic loss. Therefore, it contains important technical significance and economic significance in timely understanding the working performance of breaker and implementing scientific condition-based maintenance. Optical noncontact measurement scheme is mainly composed of six parts: target object, LED light source, lens, line laser, linear CCD, and terminal process equipment. However, as breakers are commonly placed in complex environment, the illumination quality on the spot cannot be guaranteed. Optical system of the entire system needs to implement self-adaptation according to the environmental illumination at the site. Based on the situation, this paper designed an automatic gain algorithm to make linear CCD able to adjust gain in accordance with environment, so as to obtain high-quality images.

Short-Term Wind Speed Forecasting Using the Data Processing Approach and the Support Vector Machine Model Optimized by the Improved Cuckoo Search Parameter Estimation Algorithm

Power systems could be at risk when the power-grid collapse accident occurs. As a clean and renewable resource, wind energy plays an increasingly vital role in reducing air pollution and wind power generation becomes an important way to produce electrical power. Therefore, accurate wind power and wind speed forecasting are in need. In this research, a novel short-term wind speed forecasting portfolio has been proposed using the following three procedures: (I) data preprocessing: apart from the regular normalization preprocessing, the data are preprocessed through empirical model decomposition (EMD), which reduces the effect of noise on the wind speed data; (II) artificially intelligent parameter optimization introduction: the unknown parameters in the support vector machine (SVM) model are optimized by the cuckoo search (CS) algorithm; (III) parameter optimization approach modification: an improved parameter optimization approach, called the SDCS model, based on the CS algorithm and the steepest descent (SD) method is proposed. The comparison results show that the simple and effective portfolio EMD-SDCS-SVM produces promising predictions and has better performance than the individual forecasting components, with very small root mean squared errors and mean absolute percentage errors.

Research and Application of Auxiliary Optimization Technology of Power Grid Accident Processing Based on the Mode of Regulation and Control Integration

Accident processing is the most important link of the scheduling of daily monitoring. The improvement of intelligent level is of great significance for improving the efficiency of accident processing scheduling, shortening the time of accident processing and preventing further deterioration of accidents. According to features of accident processing scheduling, this paper puts forward an integrated framework of aid decision-making of online accident processing based on large power grid, and carries out a study from five aspects, namely integrated information support platform, risk perception in advance, online fault diagnosis, aid decision-making afterwards and visual display, so as to conduct real-time tracking on operating state of power grid, eliminate potential safety hazards of power grid and upgrade power grid from “manual analysis” scheduling to “intelligent analysis” scheduling.

Frequency Response Model of Regional Power Grid Based on Parameter Identification on Trip Process of Transmission Line

Many large power grid accidents show that the tripped transmission line has great impact on system stability. The primary frequency regulation effects of generation units play key roles during a trip procedure. In this paper, a frequency stability dynamic mathematic model of regional power grid was built based on records of a practical trip accident of transmission line between regional grids. Key parameters of the model were identified. The identified parameters are within their reasonable regions. The simulation results show that the modeling method based on parameter identification can be used for modeling of transmission line trip accident procedure and relative frequency stability analyses on power grids.

Taxonomic analysis of Chinese power transmission and distribution industry accidents based on hazard components

Power transmission and distribution were critical components for the development of Chinese economy. As in all sectors of the economy it was important to reduce the accidents rate as low as possible. This research adapted accident taxonomic analysis to identify the main factors associated with accidents and then provided accident prevention countermeasures in the industry in China. Because of lack of systematic power transmission and distribution accident information in China, 324 power grid accidents from 1961 to 2008 were collected through a wide range of sources and classified according to hazard elements which were target and threat, hazard element and initiating mechanism respectively and then the initiating mechanisms were further classified by hazard types. Through taxon structures the direct and indirect factors were identified in the industry accidents and strategies of accident prevention were recommended based on them. The taxon structures also can be further developed to form tailored safety checklist for the front workers.

Steam turbine governor modeling and parameters testing for power system simulation

The theoretical modeling, parameters test and model correction for a steam turbine (ST) governor are discussed. A set of ST Governor system model for power system simulation is created based on this research. A power system simulation for an actual power grid accident is conducted using this new model and the comparison between the simulation and actual data show that the results are satisfactory.