Zhongting Tang, M. Su, Yao Liu, Hua Han, Hui Wang, Xin Li
{"title":"Active Frequency Drift Islanding Detection Technology with Feedback of Load Impedance Angle","authors":"Zhongting Tang, M. Su, Yao Liu, Hua Han, Hui Wang, Xin Li","doi":"10.7500/AEPS20170917005","DOIUrl":"https://doi.org/10.7500/AEPS20170917005","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49538841","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}
Yuexian Zou, Li Yang, Liman Feng, Zhao Xu, X. Fu, Chengjin Ye
{"title":"Coordinated heat and power dispatch of microgrid considering two-dimensional controllability of heat loads","authors":"Yuexian Zou, Li Yang, Liman Feng, Zhao Xu, X. Fu, Chengjin Ye","doi":"10.7500/AEPS20161108003","DOIUrl":"https://doi.org/10.7500/AEPS20161108003","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48068675","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}
{"title":"Fault tolerance ability analysis and evaluation of three-phase voltage source converters","authors":"Yu Peng, Meng Huang, X. Zha, C. Tse","doi":"10.7500/AEPS20160128004","DOIUrl":"https://doi.org/10.7500/AEPS20160128004","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344613","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}
Price signals provided by the nodal price can effectively guide the behaviors of power grid constructors and consumers. Based on the long-term incremental cost method, a nodal price calculation method taking power supply reliability into account is proposed. The method takes into consideration the consumers' requirements on power supply reliability as well as the influence of load growth on regional power supply reliability. Differential pricing according to the needs of different types of consumers is proposed, and the weighted average of price according to different regional reliability levels is calculated. Then a nodal pricing system of distribution network with differential pricing and regional average price combined is developed. Finally, an analysis of results of the RBTS-BUS 6 system shows that not only does the method ensure the special needs of consumers, the price signals provided, being helpful to decision-making of power grid construction, operation and maintenance plans, are more operable.
{"title":"Calculation method of nodal price in distribution network considering power supply reliability","authors":"Jingjing Zhou, Yue Yuan, Zhenjie Li, Furong Li, Qing Yang, Jiangmin Bao","doi":"10.7500/AEPS20150617008","DOIUrl":"https://doi.org/10.7500/AEPS20150617008","url":null,"abstract":"Price signals provided by the nodal price can effectively guide the behaviors of power grid constructors and consumers. Based on the long-term incremental cost method, a nodal price calculation method taking power supply reliability into account is proposed. The method takes into consideration the consumers' requirements on power supply reliability as well as the influence of load growth on regional power supply reliability. Differential pricing according to the needs of different types of consumers is proposed, and the weighted average of price according to different regional reliability levels is calculated. Then a nodal pricing system of distribution network with differential pricing and regional average price combined is developed. Finally, an analysis of results of the RBTS-BUS 6 system shows that not only does the method ensure the special needs of consumers, the price signals provided, being helpful to decision-making of power grid construction, operation and maintenance plans, are more operable.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344604","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}
Zhan Kaiqiao, Hu Zechun, Song Yong-hua, X. Zhiwei, Jia Long, Zhang，Hongcai
Three-phase unbalance may occur in distribution networks with large-scale charging loads of electric vehicles (EVs) plugged in, which significantly threatens the operation of power networks. Most coordinated EVs charging strategies are based on the assumption of single-phase power networks to the neglect of three-phase unbalance problems. A coordinated charging strategy for EVs considering three-phase load balance is proposed. In the outer layer of the proposed strategy, the three-phase backward/forward sweep load flow algorithm is used to iteratively update the node voltages. In the inner layer of the proposed strategy, a three-phase coordinated EV charging optimal model is created and solved based on the updated node voltages. By optimizing the charging power and charging periods of EVs, the objectives of the optimal model, power loss reduction and the three-phase load balance, are achieved. Simulation results show that the proposed strategy can eliminate the three-phase unbalance problems, reduce power losses and flatten the load curve, guaranteeing the economics and security of operation of the power network.
{"title":"A Coordinated Charging Strategy for Electric Vehicle Three-phase Load Balance","authors":"Zhan Kaiqiao, Hu Zechun, Song Yong-hua, X. Zhiwei, Jia Long, Zhang，Hongcai","doi":"10.7500/AEPS20150402012","DOIUrl":"https://doi.org/10.7500/AEPS20150402012","url":null,"abstract":"Three-phase unbalance may occur in distribution networks with large-scale charging loads of electric vehicles (EVs) plugged in, which significantly threatens the operation of power networks. Most coordinated EVs charging strategies are based on the assumption of single-phase power networks to the neglect of three-phase unbalance problems. A coordinated charging strategy for EVs considering three-phase load balance is proposed. In the outer layer of the proposed strategy, the three-phase backward/forward sweep load flow algorithm is used to iteratively update the node voltages. In the inner layer of the proposed strategy, a three-phase coordinated EV charging optimal model is created and solved based on the updated node voltages. By optimizing the charging power and charging periods of EVs, the objectives of the optimal model, power loss reduction and the three-phase load balance, are achieved. Simulation results show that the proposed strategy can eliminate the three-phase unbalance problems, reduce power losses and flatten the load curve, guaranteeing the economics and security of operation of the power network.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344556","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}
Chenhui Yu, Yusheng Xue, F. Wen, Z. Dong, K. Wong, Kang Li
The applicability of ultra-short-term wind power prediction(USTWPP)models is reviewed.The USTWPP method proposed extracts featrues from historical data of wind power time series(WPTS),and classifies every short WPTS into one of several different subsets well defined by stationary patterns.All the WPTS that cannot match any one of the stationary patterns are sorted into the subset of nonstationary pattern.Every above WPTS subset needs a USTWPP model specially optimized for it offline.For on-line application,the pattern of the last short WPTS is recognized,then the corresponding prediction model is called for USTWPP.The validity of the proposed method is verified by simulations.
{"title":"An Ultra-short-term Wind Power Prediction Method Using \"Offline Classification and Optimization,Online Model Matching\" Based on Time Series Features","authors":"Chenhui Yu, Yusheng Xue, F. Wen, Z. Dong, K. Wong, Kang Li","doi":"10.7500/AEPS20141230007","DOIUrl":"https://doi.org/10.7500/AEPS20141230007","url":null,"abstract":"The applicability of ultra-short-term wind power prediction(USTWPP)models is reviewed.The USTWPP method proposed extracts featrues from historical data of wind power time series(WPTS),and classifies every short WPTS into one of several different subsets well defined by stationary patterns.All the WPTS that cannot match any one of the stationary patterns are sorted into the subset of nonstationary pattern.Every above WPTS subset needs a USTWPP model specially optimized for it offline.For on-line application,the pattern of the last short WPTS is recognized,then the corresponding prediction model is called for USTWPP.The validity of the proposed method is verified by simulations.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344545","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}
孙承晨 Sun Chengchen, 袁越 Yuan Yue, S. Choi, 李梦婷 Li Mengting, 张新松 Zhang Xinsong, 曹扬 Cao Yang
A new approach to determine the capacity of a supercapacitor-battery hybrid energy storage system(HESS)in an independent microgrid is presented.Using empirical mode decomposition technique,the historical non-stationary wind power is firstly analyzed to yield some intrinsic mode functions(IMFs)of wind power.From the instantaneous frequency-time profiles of the IMF,the so-called gap frequency is identified and allows wind power to be decomposed into high and low frequency components.Power smoothing is then achieved by regulating the output power of the supercapacitor and battery to mitigate the high and lower frequency fluctuating components of power respectively.The degree of smoothness of the resulting power delivered to load is assessed in terms of a newly developed level of smoothness(LOS)criteria.A neural network model is utilized to determine the capacity of the HESS through finding a compromise between the cost of the system and the LOS of the power.Simulation results,based on a set of data obtained from a real wind farm,demonstrate the efficiency of the proposed approach.
{"title":"Capacity Optimization of Hybrid Energy Storage Systems in Microgrid Using Empirical Mode Decomposition and Neural Network","authors":"孙承晨 Sun Chengchen, 袁越 Yuan Yue, S. Choi, 李梦婷 Li Mengting, 张新松 Zhang Xinsong, 曹扬 Cao Yang","doi":"10.7500/AEPS20140719002","DOIUrl":"https://doi.org/10.7500/AEPS20140719002","url":null,"abstract":"A new approach to determine the capacity of a supercapacitor-battery hybrid energy storage system(HESS)in an independent microgrid is presented.Using empirical mode decomposition technique,the historical non-stationary wind power is firstly analyzed to yield some intrinsic mode functions(IMFs)of wind power.From the instantaneous frequency-time profiles of the IMF,the so-called gap frequency is identified and allows wind power to be decomposed into high and low frequency components.Power smoothing is then achieved by regulating the output power of the supercapacitor and battery to mitigate the high and lower frequency fluctuating components of power respectively.The degree of smoothness of the resulting power delivered to load is assessed in terms of a newly developed level of smoothness(LOS)criteria.A neural network model is utilized to determine the capacity of the HESS through finding a compromise between the cost of the system and the LOS of the power.Simulation results,based on a set of data obtained from a real wind farm,demonstrate the efficiency of the proposed approach.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344899","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}
{"title":"Study on Some Key Problems Related to Integrated Energy Systems: 区域综合能源系统若干问题研究","authors":"H. Jia, Dan Wang, Xiandong Xu","doi":"10.7500/AEPS20141009011","DOIUrl":"https://doi.org/10.7500/AEPS20141009011","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344912","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}
Chen Yu, Yusheng Xue, F. Wen, Z. Dong, Junhua Zhao, Y. Ding, Zhao Xu
the requirements on the error evaluation index for wind power prediction(wpp)and drawbacks of the traditional evaluation indexes are summarized.by distinguishing the influences on electric power reliability of a positive error from those of a negative error,a risk assessment index is proposed for wpp errors and its calculation.the risk assessment index is defined as an integration of the probability of a power disturbance event caused by wpp error and the losses caused by the event.having a monetary dimension,the index can be accumulated as risk cost of wpp error with other costs directly.thus,the confusion on how to trade off "ignoring the events of small probability "against' attaching importance to the events with heavy losses" can be dispelled for those events with big error as well as very small probability.finally,an actual wind farm system in ningxia,china is applied to illustrating the feasibility and availability of the risk index.
{"title":"Risk Assessment of Wind Power Prediction Errors","authors":"Chen Yu, Yusheng Xue, F. Wen, Z. Dong, Junhua Zhao, Y. Ding, Zhao Xu","doi":"10.7500/AEPS20141218006","DOIUrl":"https://doi.org/10.7500/AEPS20141218006","url":null,"abstract":"the requirements on the error evaluation index for wind power prediction(wpp)and drawbacks of the traditional evaluation indexes are summarized.by distinguishing the influences on electric power reliability of a positive error from those of a negative error,a risk assessment index is proposed for wpp errors and its calculation.the risk assessment index is defined as an integration of the probability of a power disturbance event caused by wpp error and the losses caused by the event.having a monetary dimension,the index can be accumulated as risk cost of wpp error with other costs directly.thus,the confusion on how to trade off \"ignoring the events of small probability \"against' attaching importance to the events with heavy losses\" can be dispelled for those events with big error as well as very small probability.finally,an actual wind farm system in ningxia,china is applied to illustrating the feasibility and availability of the risk index.","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344533","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}
Ranjan Sharma, Qiuwei Wu, S. Cha, K. Jensen, T. Rasmussen, J. Østergaard
{"title":"Fault Ride-Through Capability Enhancement of VSC HVDC connected Offshore Wind Power Plants","authors":"Ranjan Sharma, Qiuwei Wu, S. Cha, K. Jensen, T. Rasmussen, J. Østergaard","doi":"10.7500/AEPS20140119001","DOIUrl":"https://doi.org/10.7500/AEPS20140119001","url":null,"abstract":"","PeriodicalId":52447,"journal":{"name":"电力系统自动化","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71344891","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}
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