EV Dynamic LFC Strategy with Variable Participation Factor under RTP

doi:10.3969/j.issn.1000-7229.2015.07.022

Abstract

Abstract:

According to the problem of system frequency instability caused by large-scale intermittent renewable energy， electrical vehicle （EV） was used as valid demand response （DR） resource to provide ancillary load frequency control （LFC） service for power system. On the basis of the analysis on user’s behavior characteristics in ancillary LFC service impacted by electricity price， a dynamic LFC strategy with using variable participation factor was proposed for EVs， which could effectively evaluate the response ability of EVs in system frequency service under RTP （real-time pricing）. The simulation results show that under RTP， the LFC strategy of EV based on variable participation factor can provide dynamic ancillary frequency modulation service for power system with using the charging and discharging characteristics of EV load， and effectively support the dynamic frequency stability of power system.

Key words: , real-time pricing, electrical vehicle, variable participation factor, dynamic frequency modulation

CLC Number:

TM 910

MENG Jian1，GE Xianjun2，CHEN Naishi2，WANG Xudong3，QI Yan3， MU Yunfei1. EV Dynamic LFC Strategy with Variable Participation Factor under RTP[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(7): 153-159.

References

［1］宗禾. 政采等措施推动新能源汽车加速发展［N］. 中国政府采购报， 2015-01-16（1）.
［2］蒋梦惟. 机动车成大气污染罪魁祸首［N］. 北京商报， 2015-04-2（2）.
［3］国务院. 节能与新能源汽车产业发展规划（2012-2020年）［N］. 中华人民共和国国务院公报， 2012-06-28（1）.
［4］黄媛，刘俊勇，陈井锐，等. 计及电动汽车入网的负荷频率控制［J］. 电力系统自动化， 2012，36（9）：24-28.
Huang Yuan，Liu Junyong，Chen Jingrui， et al.Load frequency control considering vehicle to grid［J］.Automation of Electric Power Systems，2012，36（9）:24-28.
［5］张谦，周林，周雒维，等. 计及电动汽车充放电静态频率特性的负荷频率控制［J］. 电力系统自动化， 2014，38（16）：74-80.
Zhang Qian，Zhou Lin，Zhou Luowei， et al.Load frequency control considering charging and discharging static frequency characteristics of electric vehicles［J］.Automation of Electric Power Systems，2014，38（16）:74-80.
［6］Pascal M.， Rachid C， Alexandre O. Optimizing a battery energy storage system for frequency control application in an isolated power system ［J］. IEEE Transactions on Power System， 2009，24（3）：1469-1477.
［7］Pearmine R， Song Y H， Chebbo A. Influence of wind turbine behaviour on the primary frequency control of the British transmission grid［J］.Renewable Power Generation， IET， 2007， 1（2）: 142-150.
［8］Ramtharan G， Jenkins N， Ekanayake J B. Frequency support from doubly fed induction generator wind turbines［J］. IET Renewable Power Generation， 2007， 1（1）: 3-9.
［9］Wang M S， Mu Y F， Wu J Z， et al. A pre-ventive control strategy for static voltage stability based on an efficient power plant model of electric vehicles ［J］. Journal of Modern Power Systems and Clean Energy， 2015， 3（1）: 103-113.
［10］Ota Y，Taniguchi H，Nakajima T，et al. Autonomous distributed V2G （vehicle-to-grid） considering charging request and battery condition［J］. Proceedings of IEEE Conference on ISGT Europe，Gothenburg，Sweden:IEEE，2010.
［11］Liu H， Hu Z， Song Y，et al.Vehicle-to-grid control for supplementary frequency regulation considering charging demands ［J］. IEEE Transaction on Power Systems， 2014，3（1）：559-564.
［12］Bishop J D K， Axon C J， Bonilla D， et al.Evaluating the impact of V2G services on the degradation of batteries in PHEV and EV ［J］. Applied Energy， 2013，111（1）：206-218.
［13］Agarwal L， Peng W， Goel L. Using EV battery packs for vehicle-to-grid applications: an economic analysis［C］//Innovative Smart Grid Technologies-Asia （ISGT Asia）， 2014 IEEE.IEEE， 2014: 663-668.
［14］谢珍建，于乐，归三荣，等. 国外需求响应技术在主动配电网中的应用［J］. 电力需求侧管理， 2015， 17（2）: 59-60.
Xie Zhenjian， Yu Le， Gui Sanrong， et al. Application of foreign demand response technology in active distribution network［J］. Power Demand Side Management， 2015， 17（2）:69-60.
［15］赵慧颖，刘广一，贾宏杰，等. 基于精细化模型的需求侧响应策略分析［J］. 电力系统保护与控制，2014， 42（1）: 62-69.
Zhao Huiying， Liu Guangyi， Jia Hongjie， et al. Analysis of demand response program based on refined models［J］. Power System Protection and Control， 2014， 42（1）:62-69.
［16］刘继东.电力需求侧响应的效益评估与特性分析［D］.济南：山东大学，2013.
Liu Jidong. Benefit assessment and characteristics analysis of demand response［J］. Jinan: Shandong University， 2013.
［17］王冬容.电力需求侧响应理论与实证研究［D］.北京：华北电力大学，2010.
Wang Dongrong. Theory and empirical research on electric power demand respone［J］. Beijing: North China Electric Power University， 2010.
［18］刘观起，张建，刘瀚. 基于用户对电价反应曲线的分时电价的研究［J］. 华北电力大学学报， 2005， 32（3）: 23-27.
Liu Guanqi，Zhang Jian，Liu Han.Research on TOU pricing based on consumer response curve［J］.Journal of North China Electric Power University，2005，32（3）:23-27.
［19］Qian K J， Zhou C K， Allan M， et al. Modeling of load demand due to EV battery charging in distribution systems ［J］. IEEE Transactions on Power Systems， 2011，26（2）：802-810.

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