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Present and future development trend of active distribution network 有源配电网的现状及未来发展趋势
电力系统自动化 Pub Date : 2014-09-25 DOI: 10.7500/AEPS20131218007
Bo Zhao, Caisheng Wang, Jinhui Zhou, Junhui Zhao, Ye Yang, Jinlong Yu
{"title":"Present and future development trend of active distribution network","authors":"Bo Zhao, Caisheng Wang, Jinhui Zhou, Junhui Zhao, Ye Yang, Jinlong Yu","doi":"10.7500/AEPS20131218007","DOIUrl":"https://doi.org/10.7500/AEPS20131218007","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"38 1","pages":"125-135"},"PeriodicalIF":0.0,"publicationDate":"2014-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 29
Adequacy evaluation of active and reactive power in power systems 电力系统有功和无功功率的充分性评价
电力系统自动化 Pub Date : 2014-01-01 DOI: 10.7500/AEPS20130529009
W. Qin, Peng Wang, Xiaoqing Han, Zhijuan Liu
{"title":"Adequacy evaluation of active and reactive power in power systems","authors":"W. Qin, Peng Wang, Xiaoqing Han, Zhijuan Liu","doi":"10.7500/AEPS20130529009","DOIUrl":"https://doi.org/10.7500/AEPS20130529009","url":null,"abstract":"Reactive power plays an important role in power system reliability as it is closely related to system voltage stability and voltage collapse.However,the reactive power related reliability issues are seldom emphasized in conventional power reliability evaluation.This paper studies the power system reliability from the perspective of active and reactive power, respectively.Active and reactive power inadequacy and the associated voltage perturbation due to system failure are considered in reliability evaluation of power systems.A three-stage load shedding technique for past contingencies are implemented to determine the influence of active and reactive power on system reliability and to find an optimal way to relieve network violation.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An active synchronization control strategy for fast and smooth integration of microgrid 微网快速平稳集成的主动同步控制策略
电力系统自动化 Pub Date : 2014-01-01 DOI: 10.7500/AEPS20130816010
Fen Tang, J. Guerrero, X. Zhou, T. Ma, J. Vasquez
{"title":"An active synchronization control strategy for fast and smooth integration of microgrid","authors":"Fen Tang, J. Guerrero, X. Zhou, T. Ma, J. Vasquez","doi":"10.7500/AEPS20130816010","DOIUrl":"https://doi.org/10.7500/AEPS20130816010","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Solving of Interval DC Power Flow using Interval Hull Algorithm with Preconditioning 带预处理的区间船体算法求解区间直流潮流
电力系统自动化 Pub Date : 2014-01-01 DOI: 10.7500/AEPS201301001
Tao Ding, Qinglai Guo, R. Bo, W. Gu, Hongbin Sun, Boming Zhang
{"title":"Solving of Interval DC Power Flow using Interval Hull Algorithm with Preconditioning","authors":"Tao Ding, Qinglai Guo, R. Bo, W. Gu, Hongbin Sun, Boming Zhang","doi":"10.7500/AEPS201301001","DOIUrl":"https://doi.org/10.7500/AEPS201301001","url":null,"abstract":"With intermittent sources integrated into the power grid,power flows of the power grid are getting stochastic. Considering the uncertainty problem of DC power flow in the high voltage transmission system,this paper recommends an interval Hull algorithm with preconditioning to solve the interval DC power flow.Firstly,the diagonal dominant interval coefficient matrix is formed by preconditioning,then the H-matrix is obtained using the interval Hull algorithm.Different approximation methods are employed for the comparison matrix of H-matrix to improve precision.And the upper and lower bound of the distribution of interval DC power flow is obtained with the iterative method.The interval Hull algorithm and Monte Carlo algorithm are compared in the 9-bus test system,the result of which shows that the uncertainty in grid parameters is the main cause of errors.Furthermore,the Hull algorithm with preconditioning,the interval Hull method,the Krawczyk operator iteration method and the Gauss elimination method are compared in terms of accuracy and computing time on an IEEE 57-bus and an IEEE 118-bus test system,respectively.It is shown that the Hull method with preconditioning has the best accuracy,and the time complexity is far lower than that of the Monte Carlo algorithm.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"38 1","pages":"130-136"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
基于平均化理论的PWM变流器电磁暂态快速仿真方法 (三)适用于图像处理器的改进EMTP并行仿真算法 基于平均化理论的PWM变流器电磁暂态快速仿真方法 (三)适用于图像处理器的改进EMTP并行仿真算法
电力系统自动化 Pub Date : 2013-12-20 DOI: 10.7500/AEPS20130724001
高海翔, 陈颖, 于智同, 许寅, 陈来军, Gao Haixiang, Chen Ying, Yu Zhitong, Xu Yin, Chen Laijun
{"title":"基于平均化理论的PWM变流器电磁暂态快速仿真方法 (三)适用于图像处理器的改进EMTP并行仿真算法","authors":"高海翔, 陈颖, 于智同, 许寅, 陈来军, Gao Haixiang, Chen Ying, Yu Zhitong, Xu Yin, Chen Laijun","doi":"10.7500/AEPS20130724001","DOIUrl":"https://doi.org/10.7500/AEPS20130724001","url":null,"abstract":"智能电网技术的发展需要快速电磁暂态程序（EMTP），而日益广泛应用的图像处理器（GPU）为电磁暂态仿真提供了高效的仿真环境和平台。文中首先提出了细粒度并行算法的运算级并行策略，即基于单指令多数据流（SIMD）的运算级并行策略和基于共享内存的运算级并行策略。随后，设计了应用这两种并行策略的改进电磁暂态细粒度并行算法。三相脉宽调制（PWM）变流器仿真测试表明，适用于GPU的细粒度并行算法能够在保证仿真正确性的同时，显著提高仿真效率，从而验证了基于GPU的细粒度并行仿真算法适用于带有开关过程和复杂控制的大规模电力系统快速电磁暂态仿真应用的可行性。","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"38 1","pages":"43-48"},"PeriodicalIF":0.0,"publicationDate":"2013-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Implementation of IEC Generic Model of Type 1 Wind Turbine Generator in DIgSILENT PowerFactory 1型风力发电机IEC通用模型在DIgSILENT PowerFactory中的实现
电力系统自动化 Pub Date : 2013-01-01 DOI: 10.7500/AEPS201301042
Haoran Zhao, Qiuwei Wu, I. Margaris, P. Sørensen
{"title":"Implementation of IEC Generic Model of Type 1 Wind Turbine Generator in DIgSILENT PowerFactory","authors":"Haoran Zhao, Qiuwei Wu, I. Margaris, P. Sørensen","doi":"10.7500/AEPS201301042","DOIUrl":"https://doi.org/10.7500/AEPS201301042","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"37 1","pages":"26-33"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Characteristics of Polarized Current Travelling Wave-based Directional Relay in Transmission Lines with Shunt Reactors 并联电抗器输电线路中基于极化电流行波定向继电器的特性
电力系统自动化 Pub Date : 2013-01-01 DOI: 10.7500/AEPS20130328009
Li Ren, Xinzhou Dong, Shenxing Shi, Bin Wang, D. Bak
{"title":"Characteristics of Polarized Current Travelling Wave-based Directional Relay in Transmission Lines with Shunt Reactors","authors":"Li Ren, Xinzhou Dong, Shenxing Shi, Bin Wang, D. Bak","doi":"10.7500/AEPS20130328009","DOIUrl":"https://doi.org/10.7500/AEPS20130328009","url":null,"abstract":"It’s known that traditional fiber current differential protection cannot be directly applied to transmission lines with shunt reactors without compensation.In view of polarized current travelling wave-based directional relay used in lines with shunt reactors,an in-depth analysis is made of the process of travelling wave through shunt reactors,the transmission frequency domain with shunt reactors and the impact on polarized current travelling wave-based directional relay based on wavelet transform.The results show that lines with shunt reactors will not affect the direction of the transient traveling wave head nor the extraction of the wave-frequency line.Therefore,polarized current travelling wave-based directional relay can be directly applied to transmission lines with a shunt reactor.Both EMTP simulation and actual device test results show the excellent characteristics of the protection in lines with shunt reactors.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"230 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Renewable energies and smart distribution network in Japan 日本的可再生能源和智能配电网络
电力系统自动化 Pub Date : 2012-09-25 DOI: 10.3969/J.ISSN.1000-1026.2012.18.010
R. Yokoyama, Yicheng Zhou, Jie Zhang
{"title":"Renewable energies and smart distribution network in Japan","authors":"R. Yokoyama, Yicheng Zhou, Jie Zhang","doi":"10.3969/J.ISSN.1000-1026.2012.18.010","DOIUrl":"https://doi.org/10.3969/J.ISSN.1000-1026.2012.18.010","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"4 1","pages":"54-61"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70066418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Wind Farm Generation Forecast Based on Componential Sparse Bayesian Learning 基于组件稀疏贝叶斯学习的风电场发电预测
电力系统自动化 Pub Date : 2012-07-25 DOI: 10.3969/J.ISSN.1000-1026.2012.14.024
Ming Yang, S. Fan, Xueshan Han, Weijen Lee
{"title":"Wind Farm Generation Forecast Based on Componential Sparse Bayesian Learning","authors":"Ming Yang, S. Fan, Xueshan Han, Weijen Lee","doi":"10.3969/J.ISSN.1000-1026.2012.14.024","DOIUrl":"https://doi.org/10.3969/J.ISSN.1000-1026.2012.14.024","url":null,"abstract":"Probabilistic forecast is different from expectation forecast by the capability of forecasting the distribution of random variables.Based on the componential sparse Bayesian learning,this paper proposes a novel method to forecast the short-term wind farm generation.With this method,a time series of wind farm generation is decomposed into trend component and disturbance components by discrete wavelet decomposition Mallat algorithm.The trend component is then forecasted according to its strong correlation with wind speed and its self-correlation property,while the disturbance components,which are more stationary,are forecasted according to their self-correlation property.A sparse Bayesian learning method is used to establish the forecasting model to give probabilistic forecasts to trend component,disturbance components,and as well as the total wind farm generation.Several learning machines are set up to fulfill a multi-step probabilistic forecast.Case study shows the effectiveness of the proposed method by continuous 7 200 times forecasting tests for a given actual wind farm.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70066353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Impact of shaft stiffness on inertial response of fixed speed wind turbines 轴刚度对定速风力机惯性响应的影响
电力系统自动化 Pub Date : 2012-04-01 DOI: 10.3969/J.ISSN.1000-1026.2012.08.034
F. Gonzalez-Longatt, P. Regulski, H. Novanda, V. Terzija
{"title":"Impact of shaft stiffness on inertial response of fixed speed wind turbines","authors":"F. Gonzalez-Longatt, P. Regulski, H. Novanda, V. Terzija","doi":"10.3969/J.ISSN.1000-1026.2012.08.034","DOIUrl":"https://doi.org/10.3969/J.ISSN.1000-1026.2012.08.034","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":"36 1","pages":"191-198"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70066269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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