Journal•ISSN: 1006-6047
Electric power automation equipment
Electric Power Automation Equipment Press
About: Electric power automation equipment is an academic journal. The journal publishes majorly in the area(s): Electric power system & Fault (power engineering). It has an ISSN identifier of 1006-6047. Over the lifetime, 2242 publications have been published receiving 6217 citations.
Papers published on a yearly basis
Papers
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TL;DR: A wind speed forecast model based on time series analysis is presented in this article, where the distribution characteristics of the forecasted wind speed are compared with those of measured wind speed in a calculative example.
Abstract: Wind speed forecast is an important task of wind farms planning.A wind speed forecast model based on time series analysis is presented.AIC(An Information Criterion) function is used to check its validity.The distribution characteristics of the forecasted wind speed are compared with those of measured wind speed in a calculative example,which shows that the proposed time series model is feasible in wind speed forecast for wind farms.
63 citations
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TL;DR: Based on complex network theory, the weighted line betweenness is proposed as line vulnerability index, which is defined as the sum of currents through the line as the shortest electric path between generator nodes and load nodes.
Abstract: Critical lines may have serious impacts on large scale blackouts and cascading failures in power grid.Based on complex network theory,the weighted line betweenness is proposed as line vulnerability index,which is defined as the sum of currents through the line as the shortest electric path between generator nodes and load nodes.The weighted line betweenness is then modified to the highest betweenness of all neighboring lines.Vulnerability analysis is carried out on the IEEE 39-bus system and the Huazhong-Chuanyu power grid,and the time-domain simulation results verify that the weighted line betweenness can identify critical lines,which have light loads but great impacts on line vulnerability due to their special position in the power grid.This project is supported by the National Basic Research Program(973 Program)(2004 CB217902)and the Innovative Research Group Fund of Natural Science Foundation of China(60421002).
50 citations
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TL;DR: In this article, the principle and features of distributed and large-scale centralized grid-connected photovoltaic power systems are described in detail and the problems due to their connection with power grid are analyzed and summarized.
Abstract: The principle and features of distributed and large-scale centralized grid-connected photovoltaic power systems are described in detail and the problems due to their connection with power grid are analyzed and summarized:the power quality problems on harmonic,voltage and frequency;the islanding problem;the problems on reliability and stability;the matters of grid benefit;the problems on load characteristics,planning and dispatch,distribution automation,grid voltage,grid protection,etc,based on which,the causes of each problem are reviewed,as well as the research status and main solutions at home and abroad.
47 citations
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TL;DR: The statistics learning method of SVM ( Support Vector Machines ) is introduced to short-term load forecast of power system and the large-scale optimization problem is solved by LIBSVM method.
Abstract: The statistics learning method of SVM ( Support Vector Machines ) is introduced to short-term load forecast of power system.Sample data is constituted by filtering the historical data through clustering method.The object function considers both the fitness of prediction and error loss function.The large-scale optimization problem is solved by LIBSVM method.Corresponding software was developed and used to forecast the short-term load of a practical power system ,and the final forecast error is low.
42 citations
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TL;DR: In this article, the health index is adopted to quantify the equipment deterioration, which is used to extrapolate the current equipment failure rate and determine its actual service age, the age reduction factor is introduced to describe the repair extent, the equivalent service age of the equipment after maintenance is then determined and its failure rate is predicted, which supports the follow-up implementation of optimized condition-based maintenance for multiple devices.
Abstract: As the electrical equipment failure rate calculated by post-failure statistic analysis has low reliability,a way to predict electrical equipment failure rate is introduced,which is based on the actual operating state of equipment and the relevant evaluation rules. The health index is adopted to quantify the equipment deterioration,which is used to extrapolate the current equipment failure rate and determine its actual service age. The Marquardt method is used to deduce the failure rate function and the Weibull distribution is combined to piecewise fit the curve. The age reduction factor is introduced to describe the repair extent,the equivalent service age of the equipment after maintenance is then determined and its failure rate is predicted,which supports the follow-up implementation of optimized condition-based maintenance for multiple devices. Case study shows the effectiveness of presented method.
33 citations