Pub Date : 1900-01-01DOI: 10.1109/icps.2018.8369998
Ángela Espín-Delgado, J. Camarillo-Peñaranda, G. Ramos
A methodology for characterizing the phase-angle jump associated to voltage sags in radial systems using incremental voltage quantities is presented in this paper. The incremental voltage phasor is defined as the difference between the pre-fault and the during-fault voltage phasors at the point of common coupling. The characteristics of this phasor are stated for different fault conditions as a function of system impedances. Both fault impedance and source neutral grounding impedance are considered in the analysis. Furthermore, the vector representation of phasors and impedance diagrams are employed as a graphical aid for understanding the incremental quantities behavior as a function of the system parameters. Finally, the theoretical analysis is confirmed using simulations in the ATP-EMTP environment. The results of this work can be useful in future works for fault classification and fault location in radial systems.
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PHEV charging station is playing a critical role in the rapid development of plug-in hybrid electric vehicles (PHEV). The unique characteristics of charging demands provide flexibility for the resource planning of PHEV charging station while its internal generation resources and procurement decisions from utility grid offer various options to meet the charging demand. To achieve the maximum benefits while managing the associated risk, the operator of PHEV charging station should optimally schedule those resources on both supply and demand sides. In this paper, a stochastic resources planning scheme for PHEV charging stations are proposed while two types of PHEV charging loads, including price-responsive commercial charging customers and the contracted controllable charging fleets, are taken into account. Energy supply decisions on energy procurement in multiple markets and internal generation scheduling are co-optimized with demand side decisions on charging service pricing and controllable demands allocation. The uncertainties from spot market price and availability of renewable generations are considered in the proposed model. Numerical case study is also provided to illustrate the effectiveness of the proposed scheme.
{"title":"A stochastic resource planning scheme for PHEV charging station considering energy portfolio optimization and price-responsive demand","authors":"Zhaohao Ding, Ying Lu, Lizi Zhang, Weijen Lee, Da-Yu Chen","doi":"10.1109/icps.2018.8369973","DOIUrl":"https://doi.org/10.1109/icps.2018.8369973","url":null,"abstract":"PHEV charging station is playing a critical role in the rapid development of plug-in hybrid electric vehicles (PHEV). The unique characteristics of charging demands provide flexibility for the resource planning of PHEV charging station while its internal generation resources and procurement decisions from utility grid offer various options to meet the charging demand. To achieve the maximum benefits while managing the associated risk, the operator of PHEV charging station should optimally schedule those resources on both supply and demand sides. In this paper, a stochastic resources planning scheme for PHEV charging stations are proposed while two types of PHEV charging loads, including price-responsive commercial charging customers and the contracted controllable charging fleets, are taken into account. Energy supply decisions on energy procurement in multiple markets and internal generation scheduling are co-optimized with demand side decisions on charging service pricing and controllable demands allocation. The uncertainties from spot market price and availability of renewable generations are considered in the proposed model. Numerical case study is also provided to illustrate the effectiveness of the proposed scheme.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130630836","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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